[go: up one dir, main page]

Kim et al., 2009 - Google Patents

A biomedical signal segmentation algorithm for event detection based on slope tracing

Kim et al., 2009

Document ID
13867691628054788528
Author
Kim J
Kim M
Won I
Yang S
Lee K
Huh W
Publication year
Publication venue
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

External Links

Snippet

In this paper a simple signal segmentation algorithm is introduced. The algorithm determines the epochs of signal components of interest based on signal characteristic such as amplitude, slope, deflection width, or distance between neighboring deflections. The …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
    • A61N1/362Heart stimulators
    • A61N1/37Monitoring; Protecting
    • A61N1/3702Monitoring; Protecting a physiological parameter
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
    • A61B5/04525Detecting specific parameters of the electrocardiograph cycle by template matching
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
    • A61B5/046Detecting fibrillation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
    • A61B5/0456Detecting R peaks, e.g. for synchronising diagnostic apparatus
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
    • A61B5/0468Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7239Details of waveform analysis using differentiation including higher order derivatives
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/04012Analysis of electro-cardiograms, electro-encephalograms, electro-myograms
    • A61B5/04017Analysis of electro-cardiograms, electro-encephalograms, electro-myograms by using digital filtering
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7253Details of waveform analysis characterised by using transforms
    • A61B5/726Details of waveform analysis characterised by using transforms using Wavelet transforms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476Electroencephalography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • A61B5/7285Specific aspects of physiological measurement analysis for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00Instruments for auscultation
    • A61B7/02Stethoscopes
    • A61B7/04Electric stethoscopes
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/742Details of notification to user or communication with user or patient ; user input means using visual displays
    • A61B5/7445Display arrangements, e.g. multiple display units
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure

Similar Documents

Publication Publication Date Title
Fariha et al. Analysis of Pan-Tompkins algorithm performance with noisy ECG signals
US10646131B2 (en) Brady pause detection for implantable cardiac monitors
Sayadi et al. Synthetic ECG generation and Bayesian filtering using a Gaussian wave-based dynamical model
US20070129639A1 (en) Methods and analysis for cardiac ischemia detection
CN111419212A (en) Method and device for processing electrocardiogram data, storage medium and computer equipment
CN115828056B (en) Electrocardiogram characteristic signal extraction method and terminal
Salsekar et al. Filtering of ECG signal using butterworth filter and its feature extraction
Kumar et al. Advanced DSP Technique to Remove Baseline Noise from ECG Signal
Lamesgin et al. Extraction of fetal ECG from abdominal ECG and heart rate variability analysis
Prasad et al. Heart rate detection using Hilbert transform
Pingale Using Pan Tompkin ‘S Method, ECG signal processing and dignose various diseases in Matlab
Atanasoski et al. A morphology-preserving algorithm for denoising of EMG-contaminated ECG signals
Kim et al. A biomedical signal segmentation algorithm for event detection based on slope tracing
Bhanu et al. Analysis of ECG signal and classification of arrhythmia
Bhatti et al. R-Peak detection in ECG signal compression for Heartbeat rate patients at 1KHz using High Order Statistic Algorithm
Narayana et al. Noise removal using adaptive noise canceling, analysis of ECG using Matlab
CN111657933A (en) Autonomous high-frequency QRS wave group analysis device and analysis method
Rehman et al. A novel approach for R-peak detection in the electrocardiogram (ECG) signal
US20150342490A1 (en) Biological signal detecting apparatus and implantable medical device
Khandait et al. ECG signal processing using classifier to analyses cardiovascular disease
Turnip et al. Extraction of P and T waves from electrocardiogram signals with modified Hamilton algorithm
Akula et al. Automation algorithm to detect and quantify electrocardiogram waves and intervals
Suchetha et al. Denoising and arrhythmia classification using EMD based features and neural network
US20220202341A1 (en) System and Method for Detecting Pacer Spikes to Determine a Paced Rhythm in ECGs
Apandi et al. The study of properties savitzky-golay polynomial smoothing filter for electrocardiogram signal processing