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CN116110585B - Respiratory rehabilitation evaluation system for chronic obstructive pneumonia - Google Patents

Respiratory rehabilitation evaluation system for chronic obstructive pneumonia Download PDF

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CN116110585B
CN116110585B CN202310352094.8A CN202310352094A CN116110585B CN 116110585 B CN116110585 B CN 116110585B CN 202310352094 A CN202310352094 A CN 202310352094A CN 116110585 B CN116110585 B CN 116110585B
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耿艳红
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Peking University Medical Zibo Hospital Co ltd
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Abstract

The invention relates to the technical field of rehabilitation data processing, and discloses a respiratory rehabilitation evaluation system for chronic obstructive pneumonia, which is used for solving the problems that the traditional rehabilitation evaluation method can only analyze the chronic obstructive pneumonia singly, has inaccuracy and surface property for judging the respiratory rehabilitation training effect and is difficult to carry out scientific and accurate analysis and evaluation on the respiratory rehabilitation training effect, and comprises a processor, a data acquisition module, a data analysis module, an early warning prompt module and a data storage module which are in communication connection with the processor; the method is characterized in that the state of the chronic obstructive pneumonia patient for respiratory rehabilitation training is determined in a multi-dimensional mode by combining respiratory muscle training data, respiratory training data and exercise training data, respiratory rehabilitation training effects of the chronic obstructive pneumonia patient are evaluated in a grading mode according to comprehensive respiratory rehabilitation evaluation indexes, and effective monitoring of the respiratory rehabilitation training of the chronic obstructive pneumonia patient is guaranteed.

Description

一种用于慢性阻塞性肺炎的呼吸康复评估系统A Respiratory Rehabilitation Evaluation System for Chronic Obstructive Pneumonia

技术领域technical field

本发明涉及康复数据处理技术领域,更具体地说,本发明涉及一种用于慢性阻塞性肺炎的呼吸康复评估系统。The invention relates to the technical field of rehabilitation data processing, and more specifically, the invention relates to a respiratory rehabilitation evaluation system for chronic obstructive pneumonia.

背景技术Background technique

慢性阻塞性肺炎(Chronic Obstructive Pulmonary Disease,COPD)是一种气流受限的慢性气道疾病,通常表现为呼吸困难、咳嗽和咳痰,尤其在体力活动或感染期间症状加重,表现为气流限制和肺功能下降,通常由吸入有害气体和颗粒物引起,例如烟草烟雾、空气污染物、工业化学品等。在吸入这些有害物质后,会引起气道炎症和黏液分泌,导致气道狭窄和气道阻塞,从而使呼吸困难,这些有害物质也会损伤肺组织和肺泡,导致肺功能下降。呼吸康复是一种广泛应用的非药物治疗方法,能够通过运动训练、呼吸训练、肌肉强化、营养干预、心理支持等综合手段来改善慢性呼吸系统疾病患者肺功能、呼吸肌力和体力状况,来提高患者的肺功能和生活质量。Chronic obstructive pneumonia (Chronic Obstructive Pulmonary Disease, COPD) is a chronic airway disease with airflow limitation, usually manifested as dyspnea, cough and expectoration, especially during physical activity or infection, the symptoms are aggravated, manifested as airflow limitation and Decreased lung function, usually caused by inhalation of harmful gases and particles, such as tobacco smoke, air pollutants, industrial chemicals, etc. After inhalation of these harmful substances, it will cause airway inflammation and mucus secretion, resulting in airway narrowing and airway obstruction, making it difficult to breathe. These harmful substances can also damage lung tissue and alveoli, resulting in decreased lung function. Respiratory rehabilitation is a widely used non-drug treatment method, which can improve the lung function, respiratory muscle strength and physical condition of patients with chronic respiratory diseases through comprehensive means such as exercise training, respiratory training, muscle strengthening, nutritional intervention, and psychological support. Improve lung function and quality of life for patients.

由于慢性阻塞性肺炎呼吸康复涉及的因素较多,现有的康复评估方法往往仅能单一地对其进行分析,对呼吸康复训练效果的判断具有不准确性和表面性,难以针对呼吸康复训练的康复效果进行科学且精准的分析和评估。Due to the many factors involved in the respiratory rehabilitation of chronic obstructive pneumonia, the existing rehabilitation evaluation methods can only analyze them in a single way. Scientific and accurate analysis and evaluation of the rehabilitation effect.

为了解决上述问题,现提供一种技术方案。In order to solve the above problems, a technical solution is now provided.

发明内容Contents of the invention

为了克服现有技术的上述缺陷,本发明的实施例提供一种用于慢性阻塞性肺炎的呼吸康复评估系统,是通过结合呼吸肌训练数据、呼吸训练数据以及运动训练数据,多维度确定慢性阻塞性肺炎患者进行呼吸康复训练的状态,且根据综合呼吸康复评估指标对慢性阻塞性肺炎患者的呼吸康复训练效果进行分级评估,保证慢性阻塞性肺炎患者呼吸康复训练的有效监测,以解决上述背景技术中提出的问题。In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a respiratory rehabilitation evaluation system for chronic obstructive pneumonia, which determines the chronic obstructive pulmonary disease in multiple dimensions by combining respiratory muscle training data, respiratory training data and exercise training data. The status of respiratory rehabilitation training for patients with chronic obstructive pneumonia, and according to the comprehensive respiratory rehabilitation evaluation index, the effect of respiratory rehabilitation training for patients with chronic obstructive pneumonia is graded and evaluated, so as to ensure the effective monitoring of respiratory rehabilitation training for patients with chronic obstructive pneumonia, in order to solve the above background technology questions raised in .

为实现上述目的,本发明提供如下技术方案:To achieve the above object, the present invention provides the following technical solutions:

一种用于慢性阻塞性肺炎的呼吸康复评估系统,包括处理器以及与处理器通讯连接的数据采集模块、数据分析模块、预警提示模块以及数据存储模块;A respiratory rehabilitation evaluation system for chronic obstructive pneumonia, including a processor and a data acquisition module, a data analysis module, an early warning module and a data storage module connected to the processor in communication;

数据分析模块接收到数据采集模块发送的信息后,通过处理器调用数据存储模块内部存储的数据对慢性阻塞性肺炎的呼吸康复训练效果进行分析处理,得到不同的评估级别,并将评估级别发送至预警提示模块;After receiving the information sent by the data acquisition module, the data analysis module uses the processor to call the data stored in the data storage module to analyze and process the effect of respiratory rehabilitation training for chronic obstructive pneumonia, obtain different evaluation levels, and send the evaluation levels to Early warning prompt module;

数据分析模块根据呼吸肌训练数据、呼吸训练数据以及运动训练数据分别获取呼吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标,利用呼吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标的加权之和作为综合呼吸康复评估指标,综合呼吸康复评估指标的公式为:The data analysis module obtains the respiratory muscle rehabilitation evaluation index, respiratory training evaluation index and exercise training evaluation index respectively according to the respiratory muscle training data, respiratory training data and exercise training data, and uses the respiratory muscle rehabilitation evaluation index, respiratory training evaluation index and exercise training evaluation index The weighted sum of the comprehensive respiratory rehabilitation evaluation index is used as the comprehensive respiratory rehabilitation evaluation index formula:

Figure SMS_1
Figure SMS_1
;

式中:

Figure SMS_2
为综合呼吸康复评估指标,/>
Figure SMS_6
为呼吸肌康复评估指标,/>
Figure SMS_11
为呼吸训练评估指标,/>
Figure SMS_5
为运动训练评估指标,/>
Figure SMS_8
、/>
Figure SMS_12
以及/>
Figure SMS_15
分别为吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标的权重,根据采集的患者基本信息和临床数据,医护人员结合患者的生物学和生理学指标对患者的慢性阻塞性肺炎临床病症在呼吸、呼吸肌以及运动能力上的特异特征调整/>
Figure SMS_3
、/>
Figure SMS_7
以及/>
Figure SMS_10
的权重数值,/>
Figure SMS_14
、/>
Figure SMS_4
以及/>
Figure SMS_9
为数值范围在/>
Figure SMS_13
之间的常数。In the formula:
Figure SMS_2
It is a comprehensive respiratory rehabilitation evaluation index, />
Figure SMS_6
For the evaluation index of respiratory muscle rehabilitation, />
Figure SMS_11
For breathing training evaluation indicators, />
Figure SMS_5
For sports training evaluation indicators, />
Figure SMS_8
, />
Figure SMS_12
and />
Figure SMS_15
are the weights of the suction muscle rehabilitation evaluation index, respiratory training evaluation index, and exercise training evaluation index respectively. According to the collected basic information and clinical data of the patient, the medical staff combined the patient's biological and physiological indicators to evaluate the clinical symptoms of COPD in the patient. Specific characteristic adjustments in breathing, respiratory muscles, and exercise capacity/>
Figure SMS_3
, />
Figure SMS_7
and />
Figure SMS_10
The weight value of , />
Figure SMS_14
, />
Figure SMS_4
and />
Figure SMS_9
for the value range in />
Figure SMS_13
constant between.

作为本发明进一步的方案,数据分析模块中,接收的呼吸肌训练数据包括呼吸肌耐力、呼吸肌功率、最大呼气压力、最大吸气压力以及呼吸肌功率,呼吸肌康复评估指标与呼气肌力、吸气肌力以及最大呼气压力正相关,与最大吸气压力负相关,与呼吸肌功率正相关,呼吸肌康复评估指标的公式为:As a further solution of the present invention, in the data analysis module, the received respiratory muscle training data includes respiratory muscle endurance, respiratory muscle power, maximum expiratory pressure, maximum inspiratory pressure and respiratory muscle power, respiratory muscle rehabilitation evaluation index and expiratory muscle Strength, inspiratory muscle strength, and maximum expiratory pressure are positively correlated, negatively correlated with maximum inspiratory pressure, and positively correlated with respiratory muscle power. The formula for the evaluation index of respiratory muscle rehabilitation is:

Figure SMS_16
Figure SMS_16
;

式中:

Figure SMS_18
为最大吸气压力,单位为/>
Figure SMS_20
;/>
Figure SMS_22
为最大呼气压力,单位为
Figure SMS_19
;/>
Figure SMS_21
为呼气肌力,为5秒内完成的最大呼气次数;/>
Figure SMS_23
为吸气肌力,为5秒内完成的最大吸气次数;/>
Figure SMS_24
为呼吸肌功率,单位为/>
Figure SMS_17
。In the formula:
Figure SMS_18
is the maximum suction pressure, unit is />
Figure SMS_20
;/>
Figure SMS_22
is the maximum expiratory pressure, in units of
Figure SMS_19
;/>
Figure SMS_21
is the expiratory muscle strength, which is the maximum number of exhalations completed within 5 seconds; />
Figure SMS_23
is the inspiratory muscle strength, which is the maximum number of inhalations completed within 5 seconds; />
Figure SMS_24
Respiratory muscle power, unit is />
Figure SMS_17
.

作为本发明进一步的方案,数据分析模块中,接收的呼吸训练数据包括瞬时呼吸流量、肺活量、血氧饱和度、呼吸频率、呼出气体中的氧气含量、呼出气体中的二氧化碳含量以及气体扩散能力,呼吸训练评估指标与瞬时呼吸流量、肺活量、血氧饱和度、呼出气体中的二氧化碳含量以及气体扩散能力正相关,与呼吸频率以及呼出气体中的氧气含量负相关,呼吸训练评估指标的公式为:As a further solution of the present invention, in the data analysis module, the received respiratory training data includes instantaneous respiratory flow, vital capacity, blood oxygen saturation, respiratory rate, oxygen content in exhaled gas, carbon dioxide content in exhaled gas, and gas diffusion capacity, The respiratory training evaluation index is positively correlated with the instantaneous respiratory flow, vital capacity, blood oxygen saturation, carbon dioxide content in the exhaled gas, and gas diffusion capacity, and negatively correlated with the respiratory rate and the oxygen content in the exhaled gas. The formula for the respiratory training evaluation index is:

Figure SMS_25
Figure SMS_25
;

式中:

Figure SMS_26
为肺活量,单位为升;/>
Figure SMS_27
为呼出气体中的二氧化碳含量,为二氧化碳占整体呼出气体的体积比;/>
Figure SMS_28
为血氧饱和度;/>
Figure SMS_29
为气体扩散能力,是指肺部将气体从空气中吸收并将其传递到血液中的能力;/>
Figure SMS_30
为呼吸频率,是指每分钟呼吸的次数;/>
Figure SMS_31
为呼出气体中的氧气含量,为氧气占整体呼出气体的体积比。In the formula:
Figure SMS_26
Vital capacity, in liters; />
Figure SMS_27
is the carbon dioxide content in the exhaled gas, and is the volume ratio of carbon dioxide to the whole exhaled gas;/>
Figure SMS_28
is blood oxygen saturation; />
Figure SMS_29
Gas diffusion capacity refers to the ability of the lungs to absorb gas from the air and transfer it to the blood; />
Figure SMS_30
is the respiratory rate, which refers to the number of breaths per minute; />
Figure SMS_31
is the oxygen content in the exhaled gas, and is the volume ratio of oxygen to the whole exhaled gas.

作为本发明进一步的方案,数据分析模块中,接收的运动训练数据由六分钟步行测试获取,包括完成六分钟步行测试的步行距离、心率、血压以及疲劳程度,其中疲劳程度由自评量表进行评估,分为三个等级,分别为特别疲劳,代表数值为1,一般疲劳,代表数值为2,不疲劳,代表数值为3,运动训练评估指标与步行距离正相关,与心率负相关,与血压负相关,与疲劳程度的代表值正相关,运动训练评估指标的公式为:As a further solution of the present invention, in the data analysis module, the received exercise training data is obtained by a six-minute walk test, including the walking distance, heart rate, blood pressure and fatigue degree of completing the six-minute walk test, wherein the fatigue degree is carried out by a self-evaluation scale The evaluation is divided into three grades, which are special fatigue, which represents a value of 1, general fatigue, which represents a value of 2, and no fatigue, which represents a value of 3. Sports training evaluation indicators are positively correlated with walking distance, negatively correlated with heart rate, and negatively correlated with heart rate. Blood pressure is negatively correlated and positively correlated with the representative value of fatigue. The formula of the exercise training evaluation index is:

Figure SMS_32
Figure SMS_32
;

式中:

Figure SMS_33
为测试者六分钟走完的距离,单位为米;/>
Figure SMS_34
为测试者在进行六分钟步行测试时每间隔一分钟测量的五次心率的均值,/>
Figure SMS_35
为测试者完成六分钟步行测试的测试后和测试前的血压变化值,单位为/>
Figure SMS_36
;/>
Figure SMS_37
为疲劳程度代表值。In the formula:
Figure SMS_33
It is the distance traveled by the tester in six minutes, in meters; />
Figure SMS_34
is the average of five heart rate measurements taken at intervals of one minute during the six-minute walk test, />
Figure SMS_35
It is the change value of blood pressure before and after the six-minute walk test for the test subject, in unit of />
Figure SMS_36
;/>
Figure SMS_37
is the representative value of fatigue.

作为本发明进一步的方案,数据分析模块获取综合呼吸康复评估指标后,采集综合呼吸康复评估指标的数值,形成样本数据集,求取样本数据集的标准差和均值,并采用标准化公式对样本数据集中的数据进行标准化操作,标准化公式为

Figure SMS_38
,其中/>
Figure SMS_39
为标准化参量,/>
Figure SMS_40
为样本数据集中的数据,/>
Figure SMS_41
为样本数据集的均值,/>
Figure SMS_42
为样本数据集的标准差,采集标准化参量的数值,形成标准参量数据集,并将标准参量数据集的数值作为自变量代入
Figure SMS_43
,利用/>
Figure SMS_44
的函数值对综合呼吸康复评估指标的数值进行分级评估,分级评估的机制为:As a further solution of the present invention, after the data analysis module acquires the comprehensive respiratory rehabilitation evaluation index, it collects the value of the comprehensive respiratory rehabilitation evaluation index to form a sample data set, calculates the standard deviation and mean value of the sample data set, and uses a standardized formula to analyze the sample data. The centralized data is standardized, and the standardized formula is
Figure SMS_38
, where />
Figure SMS_39
is the standardized parameter, />
Figure SMS_40
For the data in the sample dataset, />
Figure SMS_41
is the mean of the sample data set, />
Figure SMS_42
is the standard deviation of the sample data set, collect the value of the standardized parameter to form a standard parameter data set, and substitute the value of the standard parameter data set as an independent variable
Figure SMS_43
, using />
Figure SMS_44
The value of the function value of the comprehensive respiratory rehabilitation evaluation index is graded and evaluated. The mechanism of graded evaluation is:

Figure SMS_45
时,综合呼吸康复评估指标的数值评估等级为一级;when
Figure SMS_45
When , the numerical evaluation level of the comprehensive respiratory rehabilitation evaluation index is level one;

Figure SMS_46
时,综合呼吸康复评估指标的数值评估等级为二级。when
Figure SMS_46
When , the numerical evaluation level of the comprehensive respiratory rehabilitation evaluation index is level two.

作为本发明进一步的方案,综合呼吸康复评估指标的数值评估等级一级的康复效果大于二级。As a further solution of the present invention, the rehabilitation effect of the first level of the comprehensive respiratory rehabilitation evaluation index is greater than that of the second level.

作为本发明进一步的方案,处理器用于处理来自用于慢性阻塞性肺炎的呼吸康复评估系统的至少一个组件的数据;As a further solution of the present invention, the processor is used to process data from at least one component of the respiratory rehabilitation assessment system for chronic obstructive pneumonia;

数据采集模块用于采集获取呼吸肌训练数据、呼吸训练数据以及运动训练数据,将获取到的信息发送至数据分析模块进行分析处理,并将获取到的信息发送至数据存储模块进行存储;The data collection module is used to collect and obtain respiratory muscle training data, respiratory training data and exercise training data, send the obtained information to the data analysis module for analysis and processing, and send the obtained information to the data storage module for storage;

预警提示模块根据接收的预警级别,对慢性阻塞性肺炎患者各个采集时间段内的呼吸康复训练效果进行预警提示;According to the received warning level, the early warning prompt module will give early warning prompts to the respiratory rehabilitation training effect of patients with chronic obstructive pneumonia in each collection time period;

数据存储模块用于存储慢性阻塞性肺炎患者呼吸康复训练的历史监测数据。The data storage module is used to store historical monitoring data of respiratory rehabilitation training for patients with chronic obstructive pneumonia.

一种用于慢性阻塞性肺炎的呼吸康复评估方法,用于实现上述的一种用于慢性阻塞性肺炎的呼吸康复评估系统,包括如下步骤:A respiratory rehabilitation assessment method for chronic obstructive pneumonia, used to realize the above-mentioned respiratory rehabilitation assessment system for chronic obstructive pneumonia, comprising the following steps:

步骤S1,采集呼吸肌训练数据,利用呼吸肌康复评估指标的评估机制通过呼吸肌训练数据获取呼吸肌康复评估指标;Step S1, collect the respiratory muscle training data, and use the evaluation mechanism of the respiratory muscle rehabilitation evaluation index to obtain the respiratory muscle rehabilitation evaluation index through the respiratory muscle training data;

步骤S2,采集呼吸训练数据,利用呼吸康复评估指标的评估机制通过呼吸训练数据获取呼吸康复评估指标;Step S2, collect respiratory training data, and use the evaluation mechanism of respiratory rehabilitation evaluation index to obtain respiratory rehabilitation evaluation index through the breathing training data;

步骤S3,采集呼吸康复中运动训练数据,利用运动训练评估指标的评估机制通过呼吸康复中运动训练数据获取运动训练评估指标;Step S3, collect exercise training data in respiratory rehabilitation, and use the evaluation mechanism of exercise training evaluation indicators to obtain exercise training evaluation indicators through the exercise training data in respiratory rehabilitation;

步骤S4,根据呼吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标综合分析呼吸康复训练的训练康复监测状态,确定每个采集时间段内慢性阻塞性肺炎患者的各项指标评估状态,并联合呼吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标获取综合呼吸康复评估指标,根据综合呼吸康复评估指标数值对慢性阻塞性肺炎患者呼吸康复训练带来的康复评估效果进行分级评估。Step S4, comprehensively analyze the training rehabilitation monitoring status of respiratory rehabilitation training according to the respiratory muscle rehabilitation evaluation index, respiratory training evaluation index and exercise training evaluation index, determine the evaluation status of various indicators of patients with chronic obstructive pneumonia in each collection time period, and The comprehensive respiratory rehabilitation evaluation index was obtained by combining the respiratory muscle rehabilitation evaluation index, respiratory training evaluation index and exercise training evaluation index, and the rehabilitation evaluation effect brought by respiratory rehabilitation training for patients with chronic obstructive pneumonia was graded and evaluated according to the comprehensive respiratory rehabilitation evaluation index value.

本发明一种用于慢性阻塞性肺炎的呼吸康复评估系统的技术效果和优点:Technical effects and advantages of a respiratory rehabilitation evaluation system for chronic obstructive pneumonia of the present invention:

本发明是通过结合呼吸肌训练数据、呼吸训练数据以及运动训练数据,多维度确定慢性阻塞性肺炎患者进行呼吸康复训练的状态,且根据综合呼吸康复评估指标对慢性阻塞性肺炎患者的呼吸康复训练效果进行分级评估,保证慢性阻塞性肺炎患者呼吸康复训练的有效监测,便于专业医生以评估的数据特征和指标为基础,对患者的病情以及呼吸康复训练效果进行多方位的了解,为患者量身定制个性化呼吸康复训练方案,以提升呼吸康复训练的治疗效果。The present invention determines the state of respiratory rehabilitation training for patients with chronic obstructive pneumonia in multiple dimensions by combining respiratory muscle training data, respiratory training data and exercise training data, and performs respiratory rehabilitation training for patients with chronic obstructive pneumonia according to the comprehensive respiratory rehabilitation evaluation index. The effect is graded and evaluated to ensure effective monitoring of respiratory rehabilitation training for patients with chronic obstructive pneumonia. It is convenient for professional doctors to have a multi-faceted understanding of the patient's condition and the effect of respiratory rehabilitation training based on the characteristics and indicators of the evaluated data, and tailor it for the patient. Customize a personalized respiratory rehabilitation training program to improve the therapeutic effect of respiratory rehabilitation training.

附图说明Description of drawings

图1为本发明一种用于慢性阻塞性肺炎的呼吸康复评估系统流程图;Fig. 1 is a flow chart of a respiratory rehabilitation assessment system for chronic obstructive pneumonia of the present invention;

图2为本发明一种用于慢性阻塞性肺炎的呼吸康复评估系统的结构示意图。Fig. 2 is a structural schematic diagram of a respiratory rehabilitation evaluation system for chronic obstructive pneumonia according to the present invention.

具体实施方式Detailed ways

下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

实施例1。本发明一种用于慢性阻塞性肺炎的呼吸康复评估系统,是通过结合呼吸肌训练数据、呼吸训练数据以及运动训练数据,多维度确定慢性阻塞性肺炎患者进行呼吸康复训练的状态,且根据综合呼吸康复评估指标对慢性阻塞性肺炎患者的呼吸康复训练效果进行分级评估,保证慢性阻塞性肺炎患者呼吸康复训练的有效监测,便于专业医生以评估的数据特征和指标为基础,对患者的病情以及呼吸康复训练效果进行多方位的了解,为患者量身定制个性化呼吸康复训练方案,以提升呼吸康复训练的治疗效果。Example 1. The present invention is a respiratory rehabilitation evaluation system for chronic obstructive pneumonia. By combining respiratory muscle training data, respiratory training data and exercise training data, multi-dimensionally determine the state of respiratory rehabilitation training for patients with chronic obstructive pneumonia, and according to the comprehensive Respiratory rehabilitation evaluation index evaluates the effect of respiratory rehabilitation training for patients with chronic obstructive pneumonia in grades, ensures effective monitoring of respiratory rehabilitation training for patients with chronic obstructive pneumonia, and facilitates professional doctors to evaluate the patient's condition and To understand the effect of respiratory rehabilitation training in multiple aspects, and tailor a personalized respiratory rehabilitation training program for patients to improve the therapeutic effect of respiratory rehabilitation training.

图1给出了本发明用于慢性阻塞性肺炎的呼吸康复评估系统的流程图,其包括如下步骤:Fig. 1 has provided the flowchart of the respiratory rehabilitation assessment system that the present invention is used for chronic obstructive pneumonia, and it comprises the steps:

步骤S1,采集呼吸肌训练数据,利用呼吸肌康复评估指标的评估机制通过呼吸肌训练数据获取呼吸肌康复评估指标;Step S1, collect the respiratory muscle training data, and use the evaluation mechanism of the respiratory muscle rehabilitation evaluation index to obtain the respiratory muscle rehabilitation evaluation index through the respiratory muscle training data;

步骤S2,采集呼吸训练数据,利用呼吸康复评估指标的评估机制通过呼吸训练数据获取呼吸康复评估指标;Step S2, collect respiratory training data, and use the evaluation mechanism of respiratory rehabilitation evaluation index to obtain respiratory rehabilitation evaluation index through the breathing training data;

步骤S3,采集呼吸康复中运动训练数据,利用运动训练评估指标的评估机制通过呼吸康复中运动训练数据获取运动训练评估指标;Step S3, collect exercise training data in respiratory rehabilitation, and use the evaluation mechanism of exercise training evaluation indicators to obtain exercise training evaluation indicators through the exercise training data in respiratory rehabilitation;

步骤S4,根据呼吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标综合分析呼吸康复训练的训练康复监测状态,确定每个采集时间段内慢性阻塞性肺炎患者的各项指标评估状态,并联合呼吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标获取综合呼吸康复评估指标,根据综合呼吸康复评估指标数值对慢性阻塞性肺炎患者呼吸康复训练带来的康复评估效果进行分级评估。Step S4, comprehensively analyze the training rehabilitation monitoring status of respiratory rehabilitation training according to the respiratory muscle rehabilitation evaluation index, respiratory training evaluation index and exercise training evaluation index, determine the evaluation status of various indicators of patients with chronic obstructive pneumonia in each collection time period, and The comprehensive respiratory rehabilitation evaluation index was obtained by combining the respiratory muscle rehabilitation evaluation index, respiratory training evaluation index and exercise training evaluation index, and the rehabilitation evaluation effect brought by respiratory rehabilitation training for patients with chronic obstructive pneumonia was graded and evaluated according to the comprehensive respiratory rehabilitation evaluation index value.

具体的,本发明各步骤详细过程如下:Specifically, the detailed process of each step of the present invention is as follows:

步骤S1:Step S1:

本发明采集呼吸肌训练数据,利用呼吸肌康复评估指标的评估机制通过呼吸肌训练数据获取呼吸肌康复评估指标。The invention collects respiratory muscle training data, and uses the evaluation mechanism of respiratory muscle rehabilitation evaluation index to obtain the respiratory muscle rehabilitation evaluation index through the respiratory muscle training data.

数据分析模块中,接收的呼吸肌训练数据包括呼吸肌耐力、呼吸肌功率、最大呼气压力、最大吸气压力以及呼吸肌功率,呼吸肌康复评估指标与呼气肌力、吸气肌力以及最大呼气压力正相关,与最大吸气压力负相关,与呼吸肌功率正相关,呼吸肌康复评估指标的公式为:In the data analysis module, the received respiratory muscle training data includes respiratory muscle endurance, respiratory muscle power, maximum expiratory pressure, maximum inspiratory pressure and respiratory muscle power, respiratory muscle rehabilitation evaluation indicators and expiratory muscle strength, inspiratory muscle strength and The maximum expiratory pressure is positively correlated, negatively correlated with the maximum inspiratory pressure, and positively correlated with the respiratory muscle power. The formula of the respiratory muscle rehabilitation evaluation index is:

Figure SMS_47
Figure SMS_47
;

式中:

Figure SMS_49
为最大吸气压力,单位为/>
Figure SMS_51
;/>
Figure SMS_53
为最大呼气压力,单位为
Figure SMS_50
;/>
Figure SMS_52
为呼气肌力,为5秒内完成的最大呼气次数;/>
Figure SMS_54
为吸气肌力,为5秒内完成的最大吸气次数;/>
Figure SMS_55
为呼吸肌功率,单位为/>
Figure SMS_48
。In the formula:
Figure SMS_49
is the maximum suction pressure, unit is />
Figure SMS_51
;/>
Figure SMS_53
is the maximum expiratory pressure, in units of
Figure SMS_50
;/>
Figure SMS_52
is the expiratory muscle strength, which is the maximum number of exhalations completed within 5 seconds; />
Figure SMS_54
is the inspiratory muscle strength, which is the maximum number of inhalations completed within 5 seconds; />
Figure SMS_55
Respiratory muscle power, unit is />
Figure SMS_48
.

需要说明的是,上述中,数据通过呼吸肌力量测试仪获取,其中,最大吸气压力在最大努力下吸气时测量的最高负压值,通常用于评估呼吸肌的力量,最大吸气压力通常在-100到-150

Figure SMS_56
之间,有些人可以产生更高的压力,但是慢性阻塞肺炎患者的最大吸气压力在没有呼吸康复训练之前会低于正常水平;最大呼气压力是在最大努力下呼气时测量的最高正压值,通常用于评估呼吸肌的力量,最大呼气压力通常在80到120/>
Figure SMS_57
之间,有些人可以产生更高的压力,但是慢性阻塞肺炎患者的最大呼气压力可能到不到最大呼气压力的正常值范围;呼吸肌耐力在5秒钟内完成的最大吸气和呼气次数通常在20次以上;呼吸肌功率通常在2到3/>
Figure SMS_58
之间。It should be noted that, in the above, the data are obtained by a respiratory muscle strength tester, where the maximum inspiratory pressure is the highest negative pressure value measured when inhaling with maximum effort, and is usually used to evaluate the strength of the respiratory muscles. The maximum inspiratory pressure Usually between -100 and -150
Figure SMS_56
In between, some people can generate higher pressures, but maximal inspiratory pressure in patients with COP will be lower than normal before respiratory rehabilitation; maximal expiratory pressure is the highest positive pressure measured when exhaling with maximum effort. Pressure value, usually used to assess the strength of respiratory muscles, the maximum expiratory pressure is usually 80 to 120 />
Figure SMS_57
In between, some people can generate higher pressure, but the maximum expiratory pressure of patients with chronic obstructive pneumonia may be less than the normal range of maximum expiratory pressure; The number of breaths is usually more than 20 times; the power of respiratory muscles is usually 2 to 3 />
Figure SMS_58
between.

通过以上评估公式的设置能够平衡各个参量对呼吸肌康复评估指标的影响程度,从而平衡各项因素的影响水平,便于实现多因素的联合分析和综合考虑,增加呼吸肌康复评估指标的多维性和科学性。The setting of the above evaluation formula can balance the influence of each parameter on the evaluation index of respiratory muscle rehabilitation, so as to balance the influence level of each factor, facilitate the joint analysis and comprehensive consideration of multiple factors, and increase the multidimensionality and quality of the evaluation index of respiratory muscle rehabilitation. scientific.

步骤S2:Step S2:

本发明采集呼吸训练数据,利用呼吸康复评估指标的评估机制通过呼吸训练数据获取呼吸康复评估指标。The present invention collects the breathing training data, and uses the evaluation mechanism of the breathing rehabilitation evaluation index to obtain the respiratory rehabilitation evaluation index through the breathing training data.

需要注意的是,本数据分析模块中,接收的呼吸训练数据包括瞬时呼吸流量、肺活量、血氧饱和度、呼吸频率、呼出气体中的氧气含量、呼出气体中的二氧化碳含量以及气体扩散能力,呼吸训练评估指标与瞬时呼吸流量、肺活量、血氧饱和度、呼出气体中的二氧化碳含量以及气体扩散能力正相关,与呼吸频率以及呼出气体中的氧气含量负相关,呼吸训练评估指标的公式为:It should be noted that in this data analysis module, the received respiratory training data includes instantaneous respiratory flow, lung capacity, blood oxygen saturation, respiratory rate, oxygen content in exhaled air, carbon dioxide content in exhaled air, and gas diffusion capacity. Training evaluation indicators are positively correlated with instantaneous respiratory flow, vital capacity, blood oxygen saturation, carbon dioxide content in exhaled air, and gas diffusion capacity, and negatively correlated with respiratory rate and oxygen content in exhaled air. The formula for the evaluation index of breathing training is:

Figure SMS_59
Figure SMS_59
;

式中:

Figure SMS_60
为肺活量,单位为升;/>
Figure SMS_61
为呼出气体中的二氧化碳含量,为二氧化碳占整体呼出气体的体积比;/>
Figure SMS_62
为血氧饱和度;/>
Figure SMS_63
为气体扩散能力,是指肺部将气体从空气中吸收并将其传递到血液中的能力;/>
Figure SMS_64
为呼吸频率,是指每分钟呼吸的次数;/>
Figure SMS_65
为呼出气体中的氧气含量,为氧气占整体呼出气体的体积比。In the formula:
Figure SMS_60
Vital capacity, in liters; />
Figure SMS_61
is the carbon dioxide content in the exhaled gas, and is the volume ratio of carbon dioxide to the whole exhaled gas;/>
Figure SMS_62
is blood oxygen saturation; />
Figure SMS_63
Gas diffusion capacity refers to the ability of the lungs to absorb gas from the air and transfer it to the blood; />
Figure SMS_64
is the respiratory rate, which refers to the number of breaths per minute; />
Figure SMS_65
is the oxygen content in the exhaled gas, and is the volume ratio of oxygen to the whole exhaled gas.

需要说明的是,肺活量指一个人在最大努力下呼气后能够吸入的最大空气量,正常值范围因性别、年龄和身高而异,对于20-30岁的成年人来说,正常肺活量为4.5到5升;气体分析仪用于测量呼出气体中的氧气和二氧化碳含量,以评估肺功能和气体交换;气体扩散能力指肺部将气体从空气中吸收并将其传递到血液中的能力,正常值范围因性别、年龄和身高而异,对于20-30岁的成年人来说,正常气体扩散容积为80-120%;呼吸频率:这是指每分钟呼吸的次数,正常成人的呼吸频率在12到20次之间。It should be noted that vital capacity refers to the maximum amount of air that a person can inhale after exhaling with maximum effort. The normal value range varies with gender, age and height. For adults aged 20-30, the normal vital capacity is 4.5 to 5 liters; a gas analyzer is used to measure the oxygen and carbon dioxide levels in exhaled breath to assess lung function and gas exchange; gas diffusivity refers to the ability of the lungs to absorb gases from the air and pass them into the blood, normal The range of values varies with gender, age and height, for adults aged 20-30, the normal gaseous diffusion volume is 80-120%; Respiratory rate: This refers to the number of breaths per minute, normal adult respiratory rate is in Between 12 and 20 times.

由上式,能够以数值分析的手段利用函数的变化特征将各个影响因素综合考量进入呼吸训练评估指标中,使其能够平衡数量级之间的差异性,平衡各个因素的影响效果和程度,进而方便实现多因素的平衡评估,实现各个因素的共同归入和分析,有利于提高分析的精度和科学性。From the above formula, it is possible to use the change characteristics of the function to comprehensively consider various influencing factors into the breathing training evaluation index by means of numerical analysis, so that it can balance the differences between orders of magnitude, balance the influence effect and degree of each factor, and then facilitate Realizing the balanced evaluation of multiple factors and the common classification and analysis of each factor will help improve the accuracy and scientificity of the analysis.

步骤S3:Step S3:

本发明采集呼吸康复中运动训练数据,利用运动训练评估指标的评估机制通过呼吸康复中运动训练数据获取运动训练评估指标。The invention collects exercise training data in respiratory rehabilitation, and obtains exercise training evaluation indicators through the exercise training data in respiratory rehabilitation by using an evaluation mechanism of exercise training evaluation indicators.

数据分析模块中,接收的运动训练数据由六分钟步行测试获取,包括完成六分钟步行测试的步行距离、心率、血压以及疲劳程度,其中疲劳程度由自评量表进行评估,分为三个等级,分别为特别疲劳,代表数值为1,一般疲劳,代表数值为2,不疲劳,代表数值为3,运动训练评估指标与步行距离正相关,与心率负相关,与血压负相关,与疲劳程度的代表值正相关,运动训练评估指标的公式为:In the data analysis module, the received exercise training data is obtained by the six-minute walk test, including the walking distance, heart rate, blood pressure and fatigue degree after completing the six-minute walk test. The fatigue degree is evaluated by the self-evaluation scale, which is divided into three levels , are special fatigue, the representative value is 1, general fatigue, the representative value is 2, no fatigue, the representative value is 3, the exercise training evaluation index is positively correlated with walking distance, negatively correlated with heart rate, negatively correlated with blood pressure, and fatigue degree The representative value of is positively correlated, and the formula of the sports training evaluation index is:

Figure SMS_66
Figure SMS_66
;

式中:

Figure SMS_67
为测试者六分钟走完的距离,单位为米;/>
Figure SMS_68
为测试者在进行六分钟步行测试时每间隔一分钟测量的五次心率的均值,/>
Figure SMS_69
为测试者完成六分钟步行测试的测试后和测试前的血压变化值,单位为/>
Figure SMS_70
;/>
Figure SMS_71
为疲劳程度代表值。In the formula:
Figure SMS_67
It is the distance traveled by the tester in six minutes, in meters; />
Figure SMS_68
is the average of five heart rate measurements taken at intervals of one minute during the six-minute walk test, />
Figure SMS_69
It is the change value of blood pressure before and after the six-minute walk test for the test subject, in unit of />
Figure SMS_70
;/>
Figure SMS_71
is the representative value of fatigue.

需要说明的是,六分钟步行测试能够用于评估慢性阻塞性肺炎患者在进行运动训练后的运动能力,能够通过患者在六分钟步行测试中的测试数据对患者的运动能力实现评估,利用数学函数的特性对各个因素的影响程度进行个性化的评估和联合,形成运动训练评估指标,使得康复训练的运动训练效果得以有多维度的评估,提高数据分析精度和效率,避免单一考虑各个因素而忽略多因素联合分析引起的综合评估效果。It should be noted that the six-minute walk test can be used to evaluate the exercise capacity of patients with chronic obstructive pneumonia after exercise training, and the test data of the patient in the six-minute walk test can be used to evaluate the patient's exercise capacity, using the mathematical function Personalized evaluation and combination of the characteristics of each factor on the degree of influence of each factor to form a sports training evaluation index, so that the sports training effect of rehabilitation training can be evaluated in multiple dimensions, improve the accuracy and efficiency of data analysis, and avoid single consideration of each factor and ignore it Comprehensive evaluation effect resulting from multivariate joint analysis.

步骤S4:Step S4:

步骤S4中,主要是根据呼吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标综合分析呼吸康复训练的训练康复监测状态,确定每个采集时间段内慢性阻塞性肺炎患者的各项指标评估状态,并联合呼吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标获取综合呼吸康复评估指标,根据综合呼吸康复评估指标数值对慢性阻塞性肺炎患者呼吸康复训练带来的康复评估效果进行分级评估。In step S4, the training rehabilitation monitoring status of respiratory rehabilitation training is comprehensively analyzed based on the respiratory muscle rehabilitation evaluation index, respiratory training evaluation index and exercise training evaluation index, and the evaluation of various indicators of patients with chronic obstructive pneumonia in each collection time period is determined. Combined with respiratory muscle rehabilitation evaluation index, respiratory training evaluation index and exercise training evaluation index to obtain comprehensive respiratory rehabilitation evaluation index, according to the comprehensive respiratory rehabilitation evaluation index value, the rehabilitation evaluation effect brought by respiratory rehabilitation training for patients with chronic obstructive pneumonia is graded Evaluate.

需要说明的是,数据分析模块根据呼吸肌训练数据、呼吸训练数据以及运动训练数据分别获取呼吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标,利用呼吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标的加权之和作为综合呼吸康复评估指标,综合呼吸康复评估指标的公式为:It should be noted that the data analysis module obtains the respiratory muscle rehabilitation evaluation index, respiratory training evaluation index and exercise training evaluation index respectively according to the respiratory muscle training data, respiratory training data and exercise training data, and uses the respiratory muscle rehabilitation evaluation index, respiratory training evaluation index And the weighted sum of the exercise training evaluation index is used as the comprehensive respiratory rehabilitation evaluation index. The formula of the comprehensive respiratory rehabilitation evaluation index is:

Figure SMS_72
Figure SMS_72
;

式中:

Figure SMS_74
为综合呼吸康复评估指标,/>
Figure SMS_77
为呼吸肌康复评估指标,/>
Figure SMS_81
为呼吸训练评估指标,/>
Figure SMS_75
为运动训练评估指标,/>
Figure SMS_78
、/>
Figure SMS_82
以及/>
Figure SMS_85
分别为吸肌康复评估指标、呼吸训练评估指标以及运动训练评估指标的权重,根据采集的患者基本信息和临床数据,医护人员结合患者的生物学和生理学指标对患者的慢性阻塞性肺炎临床病症在呼吸、呼吸肌以及运动能力上的特异特征调整/>
Figure SMS_73
、/>
Figure SMS_80
以及/>
Figure SMS_83
的权重数值,/>
Figure SMS_86
、/>
Figure SMS_76
以及/>
Figure SMS_79
为数值范围在/>
Figure SMS_84
之间的常数。In the formula:
Figure SMS_74
It is a comprehensive respiratory rehabilitation evaluation index, />
Figure SMS_77
For the evaluation index of respiratory muscle rehabilitation, />
Figure SMS_81
For breathing training evaluation indicators, />
Figure SMS_75
For sports training evaluation indicators, />
Figure SMS_78
, />
Figure SMS_82
and />
Figure SMS_85
They are the weights of the suction muscle rehabilitation evaluation index, respiratory training evaluation index and exercise training evaluation index respectively. According to the collected basic information and clinical data of the patient, medical staff combined with the patient's biological and physiological indicators to evaluate the clinical symptoms of chronic obstructive pneumonia in the patient. Specific characteristic adjustments in breathing, respiratory muscles, and exercise capacity/>
Figure SMS_73
, />
Figure SMS_80
and />
Figure SMS_83
The weight value of , />
Figure SMS_86
, />
Figure SMS_76
and />
Figure SMS_79
for the value range in />
Figure SMS_84
constant between.

数据分析模块获取综合呼吸康复评估指标后,采集综合呼吸康复评估指标的数值,形成样本数据集,求取样本数据集的标准差和均值,并采用标准化公式对样本数据集中的数据进行标准化操作,标准化公式为

Figure SMS_87
,其中/>
Figure SMS_88
为标准化参量,/>
Figure SMS_89
为样本数据集中的数据,/>
Figure SMS_90
为样本数据集的均值,/>
Figure SMS_91
为样本数据集的标准差,采集标准化参量的数值,形成标准参量数据集,并将标准参量数据集的数值作为自变量代入/>
Figure SMS_92
,利用/>
Figure SMS_93
的函数值对综合呼吸康复评估指标的数值进行分级评估,分级评估的机制为:After the data analysis module obtains the comprehensive respiratory rehabilitation evaluation index, it collects the value of the comprehensive respiratory rehabilitation evaluation index to form a sample data set, calculates the standard deviation and mean of the sample data set, and uses a standardized formula to standardize the data in the sample data set. The standardized formula is
Figure SMS_87
, where />
Figure SMS_88
is the standardized parameter, />
Figure SMS_89
For the data in the sample dataset, />
Figure SMS_90
is the mean of the sample data set, />
Figure SMS_91
is the standard deviation of the sample data set, collect the value of the standardized parameter to form a standard parameter data set, and substitute the value of the standard parameter data set as an independent variable />
Figure SMS_92
, using />
Figure SMS_93
The value of the function value of the comprehensive respiratory rehabilitation evaluation index is graded and evaluated. The mechanism of graded evaluation is:

Figure SMS_94
时,综合呼吸康复评估指标的数值评估等级为一级;when
Figure SMS_94
When , the numerical evaluation level of the comprehensive respiratory rehabilitation evaluation index is level one;

Figure SMS_95
时,综合呼吸康复评估指标的数值评估等级为二级。when
Figure SMS_95
When , the numerical evaluation level of the comprehensive respiratory rehabilitation evaluation index is level two.

进一步的,综合呼吸康复评估指标的数值评估等级一级的康复效果大于二级。Furthermore, the rehabilitation effect of the numerical evaluation level of the comprehensive respiratory rehabilitation evaluation index is greater than that of the second level.

需要说明的是,针对不同的慢性阻塞性患者进行的呼吸康复训练会根据患者的年龄、性别、体型、健康状况进行个性化定制,因为每个人的病情和临床表现不同,需要侧重于设置的呼吸康复训练的侧重项目是不一样的,为了使得评估模型具备普适性,在模型中根据采集的患者基本信息和临床数据,医护人员结合患者的生物学和生理学指标对患者的慢性阻塞性肺炎临床病症在呼吸、呼吸肌以及运动能力上的特异特征调整

Figure SMS_96
、/>
Figure SMS_97
以及/>
Figure SMS_98
的权重数值,这样能够帮助模型为更多的慢性阻塞性患者的康复训练进行评估,增大评估对象的范围,也能够良好地提高模型的鲁棒性,最终的结果分析能够在分析截面上进行显示,让医生或者护士输入患者的评估结果,根据数据分析和数据挖掘技术自动形成分析报告,并制成图表或者报告展示,也能够利用模板引擎的方式实现评估报告的导向,帮助医护人员更好的分析患者的病情以及在进行呼吸康复训练干预后患者的运动能力、肺功能以及呼吸肌的恢复情况进行评估,便于根据评估的结果为定制患者的呼吸康复训练方案提供数据基础。It should be noted that the respiratory rehabilitation training for different chronic obstructive patients will be customized according to the patient's age, gender, body shape, and health status. Because each person's condition and clinical manifestations are different, it is necessary to focus on the set breathing The focus items of rehabilitation training are different. In order to make the evaluation model universal, based on the collected basic information and clinical data of patients in the model, medical staff combined with the patient's biological and physiological indicators to evaluate the patient's clinical symptoms of chronic obstructive pneumonia. Condition-specific modulation of breathing, respiratory muscles, and exercise capacity
Figure SMS_96
, />
Figure SMS_97
and />
Figure SMS_98
This can help the model to evaluate the rehabilitation training of more chronic obstructive patients, increase the range of evaluation objects, and improve the robustness of the model. The final result analysis can be carried out on the analysis section It shows that doctors or nurses can input the patient's evaluation results, automatically generate an analysis report based on data analysis and data mining technology, and make a chart or report display. The template engine can also be used to guide the evaluation report to help medical staff better. Analyze the patient's condition and evaluate the patient's exercise capacity, lung function and respiratory muscle recovery after the intervention of respiratory rehabilitation training, so as to provide a data basis for customizing the patient's respiratory rehabilitation training program based on the evaluation results.

实施例2。本发明实施例2与实施例1的区别在于,本实施例是对一种用于慢性阻塞性肺炎的呼吸康复评估系统进行介绍。Example 2. The difference between Embodiment 2 of the present invention and Embodiment 1 is that this embodiment introduces a respiratory rehabilitation evaluation system for chronic obstructive pneumonia.

图2给出了本发明用于慢性阻塞性肺炎的呼吸康复评估系统的结构示意图,其包括处理器以及与处理器通讯连接的数据采集模块、数据分析模块、预警提示模块以及数据存储模块。Fig. 2 shows a schematic structural diagram of the respiratory rehabilitation evaluation system for chronic obstructive pneumonia of the present invention, which includes a processor and a data acquisition module, a data analysis module, an early warning module and a data storage module communicated with the processor.

处理器可以用于处理来自用于慢性阻塞性肺炎的呼吸康复评估系统的至少一个组件或外部数据源(如云数据中心)的数据和/或信息。在一些实施例中,处理器可以是本地或远程的。例如,处理器可以通过网络从数据存储设备、终端设备和/或数据采集设备中访问信息和/或数据。又例如,处理器可以直接连接到数据存储设备、终端设备和/或数据采集设备,以访问信息和/或数据。在一些实施例中,处理器可以在云平台上实现。例如,云平台可以包括私有云、公共云、混合云、社区云、分布式云、云间云、多云等或其任意组合。The processor can be used to process data and/or information from at least one component of the respiratory rehabilitation assessment system for chronic obstructive pneumonia or an external data source such as a cloud data center. In some embodiments, a processor may be local or remote. For example, a processor may access information and/or data from a data storage device, a terminal device and/or a data collection device through a network. As another example, a processor may be directly connected to a data storage device, a terminal device and/or a data collection device to access information and/or data. In some embodiments, the processor can be implemented on a cloud platform. For example, a cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an inter-cloud, a multi-cloud, etc., or any combination thereof.

数据采集模块用于采集获取呼吸肌训练数据、呼吸训练数据以及运动训练数据,将获取到的信息发送至数据分析模块进行分析处理,并将获取到的信息发送至数据存储模块进行存储。The data collection module is used to collect respiratory muscle training data, respiratory training data and exercise training data, send the obtained information to the data analysis module for analysis and processing, and send the obtained information to the data storage module for storage.

数据分析模块接收到数据采集模块发送的信息后,通过处理器调用数据存储模块内部存储的数据对慢性阻塞性肺炎的呼吸康复训练效果进行分析处理,得到不同的评估级别,并将评估级别发送至预警提示模块。After receiving the information sent by the data acquisition module, the data analysis module uses the processor to call the data stored in the data storage module to analyze and process the effect of respiratory rehabilitation training for chronic obstructive pneumonia, obtain different evaluation levels, and send the evaluation levels to Early warning prompt module.

预警提示模块根据接收的预警级别,对桥梁各个采集时间段内的运行状态进行预警提示。The early warning prompt module provides early warning prompts for the operation status of the bridge in each collection time period according to the received early warning level.

数据存储模块用慢性阻塞性肺炎患者呼吸康复训练的历史监测数据和评估数据。The data storage module uses historical monitoring data and evaluation data of respiratory rehabilitation training for patients with chronic obstructive pneumonia.

上述公式均是去量纲取其数值计算,公式是由采集大量数据进行软件模拟得到最近真实情况的一个公式,公式中的预设参数以及阈值选取由本领域的技术人员根据实际情况进行设置。The above-mentioned formulas are all numerical calculations without dimensioning. The formula is a formula obtained by collecting a large amount of data for software simulation to obtain the latest real situation. The preset parameters and threshold selection in the formula are set by those skilled in the art according to the actual situation.

上述实施例,可以全部或部分地通过软件、硬件、固件或其他任意组合来实现。当使用软件实现时,上述实施例可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令或计算机程序。在计算机上加载或执行所述计算机指令或计算机程序时,全部或部分地产生按照本申请实施例所述的流程或功能。所述计算机可以为通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中,或者从一个计算机可读存储介质向另一个计算机可读存储介质传输,例如,所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集合的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质(例如,软盘、硬盘、磁带)、光介质(例如,DVD)、或者半导体介质。半导体介质可以是固态硬盘。The above-mentioned embodiments may be implemented in whole or in part by software, hardware, firmware or other arbitrary combinations. When implemented using software, the above-described embodiments may be implemented in whole or in part in the form of computer program products. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on the computer, the processes or functions according to the embodiments of the present application will be generated in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website, computer, server or data center Transmission to another website site, computer, server or data center by wired (eg, infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center that includes one or more sets of available media. The available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media. The semiconductor medium may be a solid state drive.

本领域普通技术人员可以意识到,结合本文中所公开的实施例描述的各示例的单元及算法步骤,能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行,取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能,但是这种实现不应认为超出本申请的范围。Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

所属领域的技术人员可以清楚地了解到,为描述的方便和简洁,上述描述的系统、装置和单元的具体工作过程,可以参考前述方法实施例中的对应过程,在此不再赘述。Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

在本申请所提供的几个实施例中,应该理解到,所揭露的系统、装置和方法,可以通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如,所述单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口,装置或单元的间接耦合或通信连接,可以是电性,机械或其它的形式。In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

另外,在本申请各个实施例中的各功能单元可以集成在一个处理单元中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个单元中。In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.

所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。基于这样的理解,本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括若干指令用以使得一台计算机设备(可以是个人计算机,服务器,或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、移动硬盘、只读存储器(read-only memory,ROM)、随机存取存储器(random access memory,RAM)、磁碟或者光盘等各种可以存储程序代码的介质。If the functions described above are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), magnetic disk or optical disk and other various media that can store program codes. .

以上所述,仅为本申请的具体实施方式,但本申请的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本申请揭露的技术范围内,可轻易想到变化或替换,都应涵盖在本申请的保护范围之内。因此,本申请的保护范围应以所述权利要求的保护范围为准。The above is only a specific implementation of the application, but the scope of protection of the application is not limited thereto. Anyone familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the application. Should be covered within the protection scope of this application. Therefore, the protection scope of the present application should be determined by the protection scope of the claims.

最后:以上所述仅为本发明的优选实施例而已,并不用于限制本发明,凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。Finally: the above is only a preferred embodiment of the present invention, and is not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the present invention within the scope of protection.

Claims (5)

1. The respiratory rehabilitation evaluation system for the chronic obstructive pneumonia is characterized by comprising a processor, and a data acquisition module, a data analysis module, an early warning prompt module and a data storage module which are in communication connection with the processor;
after the data analysis module receives the information sent by the data acquisition module, the processor calls the data stored in the data storage module to analyze and process the respiratory rehabilitation training effect of the chronic obstructive pneumonia to obtain different evaluation levels, and the evaluation levels are sent to the early warning prompt module;
the data analysis module respectively acquires a respiratory muscle rehabilitation evaluation index, a respiratory training evaluation index and a motion training evaluation index according to respiratory muscle training data, respiratory training data and motion training data, and utilizes the weighted sum of the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the motion training evaluation index as a comprehensive respiratory rehabilitation evaluation index, wherein the formula of the comprehensive respiratory rehabilitation evaluation index is as follows:
I Z =α 1 I bzt2 I bt3 I st
wherein: i Z To evaluate the index of comprehensive respiratory rehabilitation, I bzt For respiratory muscle rehabilitation evaluation index, I bt For respiratory training evaluation index, I st For exercise training evaluation index, alpha 1 、α 2 Alpha and alpha 3 The weight of the respiratory training evaluation index, the respiratory training evaluation index and the exercise training evaluation index are respectively that according to the acquired basic information and clinical data of the patient, medical staff combines biological and physiological indexes of the patient to adjust alpha on the specific characteristics of the chronic obstructive pulmonary disease clinical symptoms of the patient on respiratory, respiratory muscle and exercise capacity 1 、α 2 Alpha and alpha 3 Weight value, alpha 1 、α 2 Alpha and alpha 3 Is in the range of [0,1]A constant therebetween;
in the data analysis module, the received respiratory muscle training data comprise respiratory muscle endurance, respiratory muscle power, maximum expiratory pressure, maximum inspiratory pressure and respiratory muscle power, the respiratory muscle rehabilitation evaluation index is positively correlated with the expiratory muscle power, the inspiratory muscle power and the maximum expiratory pressure, is negatively correlated with the maximum inspiratory pressure, and is positively correlated with the respiratory muscle power, and the formula of the respiratory muscle rehabilitation evaluation index is as follows:
I bzt =log 5 (-K MIP +K MEP )+O.7ln(n h +n x )+P bm
wherein: k (K) MIP Is the maximum suction pressure, and is expressed in cmH 2 O;K MEP Maximum expiratory pressure, in cmH 2 O;n h The maximum number of exhalations completed in 5 seconds is the expiratory muscle force; n is n x For inspiratory muscle strength, the maximum number of inspiration completed in 5 seconds; p (P) bm Respiratory muscle power in w;
in the data analysis module, the received respiration training data comprise instantaneous respiration flow, vital capacity, blood oxygen saturation, respiration frequency, oxygen content in the exhaled air, carbon dioxide content in the exhaled air and gas diffusion capacity, the respiration training evaluation index is positively correlated with the instantaneous respiration flow, the vital capacity, the blood oxygen saturation, the carbon dioxide content in the exhaled air and the gas diffusion capacity, and is negatively correlated with the respiration frequency and the oxygen content in the exhaled air, and the formula of the respiration training evaluation index is as follows:
Figure FDA0004260195770000021
wherein: l (L) b Is the vital capacity in liters;
Figure FDA0004260195770000022
the carbon dioxide content in the exhaled gas is the volume ratio of carbon dioxide to the whole exhaled gas; r is R xt Is the blood oxygen saturation; r is R ex The gas diffusion capacity refers to the absorption of gas from the air and its absorption by the lungsAbility to pass into the blood; h b Respiratory rate refers to the number of breaths per minute; />
Figure FDA0004260195770000023
The oxygen content in the exhaled gas is the volume ratio of the oxygen to the whole exhaled gas;
in the data analysis module, the received exercise training data are obtained by six-minute walking test, including walking distance, heart rate, blood pressure and fatigue degree for completing six-minute walking test, wherein the fatigue degree is evaluated by a self-evaluation table and is divided into three grades, namely special fatigue, the representative value is 1, general fatigue, the representative value is 2, no fatigue, the representative value is 3, the exercise training evaluation index is positively correlated with walking distance, negatively correlated with heart rate, negatively correlated with blood pressure and positively correlated with the representative value of fatigue degree, and the formula of the exercise training evaluation index is:
Figure FDA0004260195770000031
wherein: s is the distance of the tester after six minutes, and the unit is meter; r is R heart For the average of five heart rates measured by a tester at one minute intervals when performing a six-minute walk test, H blood The blood pressure change value after and before the six-minute walk test is completed for the tester, and the unit is numH 2 O;K t Is a representative value of the fatigue degree.
2. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 1, wherein: after the data analysis module acquires the comprehensive respiratory recovery evaluation index, acquiring the numerical value of the comprehensive respiratory recovery evaluation index to form a sample data set, solving the standard deviation and the mean value of the sample data set, and carrying out standardized operation on the data in the sample data set by adopting a standardized formula, wherein the standardized formula is as follows
Figure FDA0004260195770000032
Wherein z is a standardized parameter, x is data in a sample data set, mu is a mean value of the sample data set, sigma is a standard deviation of the sample data set, values of the standardized parameter are collected to form a standard parameter data set, and the values of the standard parameter data set are substituted into the standard parameter data set as independent variables>
Figure FDA0004260195770000033
The value of the comprehensive respiratory rehabilitation evaluation index is evaluated in a grading manner by using the function value of f (z), and the grading evaluation mechanism is as follows:
when (when)
Figure FDA0004260195770000034
The numerical evaluation grade of the comprehensive respiratory rehabilitation evaluation index is a first grade;
when (when)
Figure FDA0004260195770000041
And the numerical evaluation grade of the comprehensive respiratory rehabilitation evaluation index is two-level.
3. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 2, wherein: the first grade of the numerical evaluation grade of the comprehensive respiratory rehabilitation evaluation index has a rehabilitation effect larger than that of the second grade.
4. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 1, wherein:
the processor is for processing data from at least one component of a respiratory rehabilitation assessment system for chronic obstructive pulmonary disease;
the data acquisition module is used for acquiring respiratory muscle training data, respiratory training data and exercise training data, sending the acquired information to the data analysis module for analysis and processing, and sending the acquired information to the data storage module for storage;
the early warning prompt module carries out early warning prompt on respiratory rehabilitation training effects of the chronic obstructive pneumonia patient in each acquisition time period according to the received early warning level;
the data storage module is used for storing historical monitoring data of respiratory rehabilitation training of patients with chronic obstructive pneumonia.
5. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 1, wherein the respiratory rehabilitation evaluation method comprises the steps of:
step S1, collecting respiratory muscle training data, and acquiring respiratory muscle rehabilitation evaluation indexes through the respiratory muscle training data by utilizing an evaluation mechanism of the respiratory muscle rehabilitation evaluation indexes;
step S2, acquiring respiratory training data, and acquiring respiratory rehabilitation evaluation indexes through the respiratory training data by utilizing an evaluation mechanism of the respiratory rehabilitation evaluation indexes;
step S3, acquiring exercise training data in respiratory rehabilitation, and acquiring exercise training evaluation indexes through the exercise training data in respiratory rehabilitation by utilizing an evaluation mechanism of the exercise training evaluation indexes;
and S4, comprehensively analyzing the training rehabilitation monitoring state of the respiratory rehabilitation training according to the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index, determining each index evaluation state of the chronic obstructive pneumonia patient in each acquisition time period, acquiring the comprehensive respiratory rehabilitation evaluation index by combining the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index, and carrying out grading evaluation on the rehabilitation evaluation effect brought by the respiratory rehabilitation training of the chronic obstructive pneumonia patient according to the comprehensive respiratory rehabilitation evaluation index value.
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102164540A (en) * 2008-09-25 2011-08-24 内尔科尔普里坦贝内特有限公司 Model-predictive online identification of patient respiratory effort dynamics in medical ventilators

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
UA67403U (en) * 2011-04-27 2012-02-27 Ольга Владимировна Пешкова Method for rehabilitation of patients with chronic obstructive pulmonary diseases
US9999388B2 (en) * 2014-06-26 2018-06-19 Kenneth Chatham Hand-held device for the endurance training and the determination of endurance metrics
CN104463750A (en) * 2014-12-11 2015-03-25 奥美之路(北京)技术顾问有限公司 Health-related physical fitness evaluation model for old people
CN106691478A (en) * 2016-12-30 2017-05-24 深圳大学 Sub-site hand function rehabilitation evaluation method and device
CN208942118U (en) * 2018-05-17 2019-06-07 复旦大学附属中山医院 A kind of COPD reconditioning intelligent monitor wearable system based on Internet of Things
CN111632351B (en) * 2020-05-25 2021-04-13 浙江大学 COPD (chronic obstructive pulmonary disease) home exercise rehabilitation system
CN114795191B (en) * 2022-05-30 2024-07-09 北京择天众康科技有限公司 Cardiopulmonary assessment and rehabilitation exercise monitoring system based on walking test

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102164540A (en) * 2008-09-25 2011-08-24 内尔科尔普里坦贝内特有限公司 Model-predictive online identification of patient respiratory effort dynamics in medical ventilators

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Using MIP with rolling horizon to plan China oil tanker fleets;Meilong Le 等;《2012 IEEE Symposium on Robotics and Applications (ISRA)》;第760-764页 *
慢性阻塞性肺疾病的中西医康复研究进展;张娟 等;《中国中医药现代远程教育》;第13卷(第3期);第151-154页 *

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