CN105769172B - Signal processing method suitable for sensor - Google Patents
Signal processing method suitable for sensor Download PDFInfo
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- CN105769172B CN105769172B CN201610103911.6A CN201610103911A CN105769172B CN 105769172 B CN105769172 B CN 105769172B CN 201610103911 A CN201610103911 A CN 201610103911A CN 105769172 B CN105769172 B CN 105769172B
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- 238000003672 processing method Methods 0.000 title claims abstract description 16
- 230000003595 spectral effect Effects 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- 239000000835 fiber Substances 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 3
- 230000008676 import Effects 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 abstract description 5
- 238000013075 data extraction Methods 0.000 abstract 1
- 238000005457 optimization Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 241001269238 Data Species 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 2
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6824—Arm or wrist
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6828—Leg
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- Heart & Thoracic Surgery (AREA)
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- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
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Abstract
The present invention relates to a kind of signal processing methods suitable for sensor, acquire left arm signal, right arm signal, left leg signal respectively by several sensors.Its main feature is that by carrying out data extraction after data export, and by several data signal source combination of two, stored its difference as one group of electrocardiogram (ECG) data respectively.Finally, spectral density coefficient is obtained by power spectral-density analysis, using coefficient the maximum as Optimal Signals.More preferred data can be obtained, for the wearing monitoring system of infant as a result, convenient for monitoring.
Description
Technical field
The present invention relates to a kind of signal processing method more particularly to a kind of signal processing methods suitable for sensor.
Background technique
Adult, infant vital sign parameter signals generally include：Electrocardio (ECG), breathing, body temperature and blood oxygen saturation
(SpO2) etc..The major defect of current such system is：
1) acquisition signal is single, and only simple acquisition, which lacks, compares preferred with data, leads to final electrocardiogram (ECG) data
Error is larger.
2) it after monitoring object is turned over, be easy to cause signal acquisition error big, cannot achieve comparison corrigendum, lead to the final heart
There is error in electric data, influence to diagnose.
In view of the above shortcomings, the designer, is actively subject to research and innovation, obtained by the way of redundancy relatively best
Signal, obtain the signal processing method for being suitable for sensor, make it with more the utility value in industry.
Summary of the invention
In order to solve the above technical problems, the object of the present invention is to provide a kind of signal processing methods suitable for sensor.
Signal processing method suitable for sensor of the invention, acquired respectively by several sensors left arm signal,
Right arm signal, left leg signal comprising following steps：Step 1, data import：The initial data in storage medium will be located to read
It takes out.Step 2, signal extraction：By several data signal source combination of two, distinguish its difference as one group of electrocardiogram (ECG) data
Storage.Step 3, power spectral-density analysis：Power spectral density (PSD) is carried out respectively to every group of electrocardiogram (ECG) data to calculate.Step 4,
To every group of electrocardiosignal, spectral density coefficient is obtained, coefficient the maximum is the Optimal Signals in several groups electrocardiosignal.Above-mentioned mistake
Cheng Zhong, the left arm signal of description, right arm signal, left leg signal etc. are not placed on leg by taking left leg signal as an example, but
In the art is sanctified by usage.
Further, the above-mentioned signal processing method suitable for sensor, wherein the storage medium is disk.
Further, the above-mentioned signal processing method suitable for sensor, wherein in the step 2, at least adopt
Collect 2 left arm signals, 2 right arm signals, 2 left leg signals, is denoted as LA2, LA3, RA2, RA3, LL2, LL3, Ge Gexing respectively
It number is combined with each other, obtains 15 groups of different electrocardiogram (ECG) datas, including RA2-LA2, RA2-LA3, LA2-RA3, LL2-RA3, RA3-
LA3、RA2-LL2、RA2-LL3、LA2-LA3、LL2-LA3、RA3-LL3、RA2-RA3、LA2-LL2、LA2-LL3、LL2-LL3、
LA3-LL3。
Further, the above-mentioned signal processing method suitable for sensor, wherein in the step 4, count respectively
Its sum of spectral density in specific frequency domain is calculated, first group of data is denoted as, calculates it in the spectral density summation of full frequency-domain section,
It is denoted as second group of data, the quotient of first group of data and second group of data of every group of signal constitutes spectral density coefficient.
Further, the above-mentioned signal processing method suitable for sensor, wherein the frequency range of the specific frequency domain is
1Hz to 60Hz.
Further, the above-mentioned signal processing method suitable for sensor, wherein the frequency range of the specific frequency domain is
1.3Hz to 47Hz.
Still further, the above-mentioned signal processing method suitable for sensor, wherein the sensor is sticky electrode
Sensor, or it is fiber sensor.
According to the above aspect of the present invention, the present invention has at least the following advantages：
1, it can be combined according to the left arm signal of acquisition, right arm signal, left leg signal, obtain the more comparable heart
Electric data.
2, it introduces spectral density coefficient to refer to the most, preferable ECG signal can be obtained.
3, implementation is simple and convenient, is particularly suitable for the wearing monitoring system for infant.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And can be implemented in accordance with the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention and the accompanying drawings.
Detailed description of the invention
Fig. 1-Figure 15 is specifically for RA2-LA2, RA2-LA3, LA2-RA3, LL2-RA3, RA3-LA3, RA2-LL2, RA2-
The electrocardio number of LL3, LA2-LA3, LL2-LA3, RA3-LL3, RA2-RA3, LA2-LL2, LA2-LL3, LL2-LL3, LA3-LL3
According to schematic diagram.
Specific embodiment
With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.Implement below
Example is not intended to limit the scope of the invention for illustrating the present invention.
Such as the signal processing method suitable for sensor of Fig. 1 to 15,2 left arm letters are acquired respectively by sensor
Number, 2 right arm signals, 2 left leg signals, LA2, LA3, RA2, RA3, LL2, LL3 can be denoted as respectively, unusual place is
Include the following steps：
Firstly, the centralized processing in order to realize data needs to carry out leading for data using existing hardware system come operation
Enter.Its process is to read out the initial data being located in storage medium.In view of can effectively promote the convenient of implementation
Property, disk can be used and constitute storage medium.Certainly, it is not limited to which disk, everything can participate in setting for data communication on the market
Standby or device, it is all admissible.
Later, signal extraction is carried out to the data of importing.During this period, it by several data signal source combination of two, obtains
15 groups of different electrocardiogram (ECG) datas, including RA2-LA2, RA2-LA3, LA2-RA3, LL2-RA3, RA3-LA3, RA2-LL2, RA2-
LL3,LA2-LA3,LL2-LA3,RA3-LL3,RA2-RA3,LA2-LL2,LA2-LL3,LL2-LL3,LA3-LL3.Meanwhile it will be each
The electrocardiogram (ECG) data difference of group stores respectively as one group of electrocardiogram (ECG) data.
Then, power spectral-density analysis is carried out, power spectral density (PSD) is carried out to every group of electrocardiogram (ECG) data respectively and is calculated.
Then, to every group of electrocardiosignal, spectral density coefficient is obtained.Specifically, it is calculated separately in specific frequency domain
The sum of spectral density, be denoted as first group of data, calculate it in the spectral density summation of full frequency-domain section, be denoted as second group of data.
The quotient of first group of data and second group of data of every group of signal as a result, constitutes spectral density coefficient.Specifically, in order to realize
The optimization of data processing effectively evades the data of obvious exception, reduces interminable calculating, the frequency range of the specific frequency domain of selection is
1Hz to 60Hz.Also, when actual implementation, which can adjust according to the actual clinical experience of user
It is whole, it can also preferably be 1.3Hz to 47Hz.
Finally, choosing coefficient the maximum is the Optimal Signals in several groups electrocardiosignal.In view of the optimization of implementation, can incite somebody to action
Above-mentioned calculation method collects to complete using computer program, is handled by the software of final molding, very big optimization processing
Efficiency.Meanwhile using this method after, be suitable for the signal of the multiple sensors such as sticky electrode sensor, fiber sensor
Optimization processing.
Working principle of the present invention is as follows：
Embodiment one
Such as Fig. 1 to 15,2 left arm signals, 2 right arm signals, 2 are acquired respectively by 6 sticky electrode sensors
Left leg signal, can be denoted as LA2, LA3, RA2, RA3, LL2, LL3 respectively.Later, 15 groups of different electrocardiogram (ECG) datas are obtained, including
RA2-LA2、RA2-LA3、LA2-RA3、LL2-RA3、RA3-LA3、RA2-LL2、RA2-LL3、LA2-LA3、LL2-LA3、RA3-
LL3,RA2-RA3,LA2-LL2,LA2-LL3,LL2-LL3,LA3-LL3.Using the electrocardiogram (ECG) data difference of each group as one group of electrocardio
Data store respectively.Later, and by calculating spectral density coefficient (coefficient) is obtained.It would know that from Figure 11, frequency spectrum
Bulkfactor is 0.9994, is peak, it may be determined that is best ECG signal.
Embodiment two
3 left arm signals, 3 right arm signals, 3 left leg signals are acquired respectively by 9 fiber sensors, are obtained several
The different electrocardiogram (ECG) data of group.Later, it is stored the electrocardiogram (ECG) data difference of each group as one group of electrocardiogram (ECG) data respectively.Due to transmitting fiber tow
Sensor quantity is more, and retrievable original electrocardiographicdigital data are just more, can obtain more preferably result.In this way, being obtained by finally calculating
Spectral density coefficient is taken, it is highest to choose numerical value.
It can be seen from the above written description and the attached drawings that after applying the present invention, gathering around and having the following advantages：
1, it can be combined according to the left arm signal of acquisition, right arm signal, left leg signal, obtain the more comparable heart
Electric data.
2, it introduces spectral density coefficient to refer to the most, preferable ECG signal can be obtained.
3, implementation is simple and convenient, is particularly suitable for the wearing monitoring system for infant.
The above is only a preferred embodiment of the present invention, it is not intended to restrict the invention, it is noted that for this skill
For the those of ordinary skill in art field, without departing from the technical principles of the invention, can also make it is several improvement and
Modification, these improvements and modifications also should be regarded as protection scope of the present invention.
Claims (1)
1. being suitable for the signal processing method of sensor, left arm signal, right arm signal, a left side are acquired respectively by several sensors
Leg signal, it is characterised in that include the following steps：
Step 1, data import：The initial data being located in storage medium is read out；
Step 2, signal extraction：By several data signal source combination of two, deposited its difference as one group of electrocardiosignal respectively
Storage, at least acquisition 2 left arm signals, 2 right arm signals, 2 left leg signals, be denoted as respectively LA2, LA3, RA2, RA3, LL2,
LL3, each signal are combined with each other, and obtain 15 groups of different electrocardiosignals, including RA2-LA2, RA2-LA3, LA2-RA3, LL2-
RA3、RA3-LA3、RA2-LL2、RA2-LL3、LA2-LA3、LL2-LA3、RA3-LL3、RA2-RA3、LA2-LL2、LA2-LL3、
LL2-LL3,LA3-LL3；
Step 3, power spectral-density analysis：Power spectral density calculating is carried out respectively to every group of electrocardiosignal；
Step 4 obtains spectral density coefficient to every group of electrocardiosignal, and coefficient the maximum is optimal in several groups electrocardiosignal
Signal,
In the step 4, spectral density the sum of of the every group of electrocardiosignal in specific frequency domain is calculated separately, first group of number is denoted as
According to calculating every group of electrocardiosignal in the spectral density summation of full frequency-domain section, be denoted as second group of data, first group of number of every group of signal
According to the quotient with second group of data, spectral density coefficient is constituted, the frequency range of the specific frequency domain is 1.3Hz to 47Hz；
The storage medium is disk, and the sensor is sticky electrode sensor, or is fiber sensor.
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| CN201610103911.6A CN105769172B (en) | 2016-02-25 | 2016-02-25 | Signal processing method suitable for sensor |
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| CN201610103911.6A CN105769172B (en) | 2016-02-25 | 2016-02-25 | Signal processing method suitable for sensor |
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| CN105769172B true CN105769172B (en) | 2018-11-27 |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101657151A (en) * | 2007-04-23 | 2010-02-24 | 北京超思电子技术有限责任公司 | Hand-held electrocardiogram measuring instrument with double neutral electrodes |
| CN103002800A (en) * | 2010-05-18 | 2013-03-27 | 佐尔医药公司 | Wearable mobile medical device with multiple sensing electrodes |
| CN104434311A (en) * | 2013-09-13 | 2015-03-25 | 深圳迈瑞生物医疗电子股份有限公司 | Physiological parameter processing method and system and monitoring and nursing equipment |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9706945B2 (en) * | 2014-03-25 | 2017-07-18 | General Electric Company | Respiration rate determination in impedance pneumography |
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2016
- 2016-02-25 CN CN201610103911.6A patent/CN105769172B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101657151A (en) * | 2007-04-23 | 2010-02-24 | 北京超思电子技术有限责任公司 | Hand-held electrocardiogram measuring instrument with double neutral electrodes |
| CN103002800A (en) * | 2010-05-18 | 2013-03-27 | 佐尔医药公司 | Wearable mobile medical device with multiple sensing electrodes |
| CN104434311A (en) * | 2013-09-13 | 2015-03-25 | 深圳迈瑞生物医疗电子股份有限公司 | Physiological parameter processing method and system and monitoring and nursing equipment |
Non-Patent Citations (1)
| Title |
|---|
| Exploitation of the Redundancy of the Conventional Limb Lead Electrocardiograms for Prolongation of the Record Length;Pentti M. Rautaharju et al;《Journal of Electrocardiology》;19811231;第14卷(第1期);39-42 * |
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Address after: Taicang City, Suzhou City, Jiangsu Province, and 215411 Metro Jianxiong Road No. 20 Applicant after: Suzhou Mai Ji Medical Technology Co., Ltd. Address before: Taicang City, Suzhou City, Jiangsu Province, and 215411 Metro Jianxiong Road No. 20 Applicant before: JIANGSU SIWEISEN NETWORK TECHNOLOGY CO., LTD. |
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