Gerber et al., 1984 - Google Patents

A new framework and computer program for quantitative EMG signal analysis

Gerber et al., 1984

View PDF
Document ID
14594321764033908736
Author
Gerber A
Studer R
De Figueiredo R
Moschytz G
Publication year
Publication venue
IEEE transactions on biomedical engineering

External Links

Snippet

Techniques for analyzing electromyographic signals, which estimate and detect potentials caused by active motor units in human striated muscles, are described. A framework within which these techniques are incorporated into a computer program for the quantitative …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/04525—Detecting specific parameters of the electrocardiograph cycle by template matching
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/18—Applying electric currents by contact electrodes
    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
    • A61N1/362—Heart stimulators
    • A61N1/37—Monitoring; Protecting
    • A61N1/3702—Monitoring; Protecting a physiological parameter
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476—Electroencephalography
    • A61B5/0484—Electroencephalography using evoked response
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0488—Electromyography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/04012—Analysis of electro-cardiograms, electro-encephalograms, electro-myograms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0531—Measuring skin impedance
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7239—Details of waveform analysis using differentiation including higher order derivatives
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7285—Specific 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

Similar Documents

Publication Publication Date Title
Gerber et al. A new framework and computer program for quantitative EMG signal analysis
LeFever et al. A procedure for decomposing the myoelectric signal into its constituent action potentials-part I: technique, theory, and implementation
US7848797B2 (en) Motor unit number estimation (MUNE) for the assessment of neuromuscular function
US4603703A (en) Method for real-time detection and identification of neuroelectric signals
US10335051B2 (en) Beat alignment and selection for cardiac mapping
US6804661B2 (en) Drug profiling apparatus and method
Zennaro et al. A software package for the decomposition of long-term multichannel EMG signals using wavelet coefficients
DE19827697B4 (en) Method and system for determining the quality of signals indicative of cardiac function
Forster et al. Automatic classification and analysis of microneurographic spike data using a PC/AT
Nandedkar et al. Multi‐motor unit action potential analysis (MMA)
US20050124863A1 (en) Drug profiling apparatus and method
Kleine et al. Magnetic stimulation‐induced modulations of motor unit firings extracted from multi‐channel surface EMG
Farina et al. Evaluation of intra-muscular EMG signal decomposition algorithms
Chen et al. Two-source validation of progressive FastICA peel-off for automatic surface EMG decomposition in human first dorsal interosseous muscle
CN104586383A (en) Electrocardiogram waveform classification method and device
Hassoun et al. NNERVE: neural network extraction of repetitive vectors for electromyography. I. Algorithm
DE19902253A1 (en) Determining quality of heart function signals from electrocardiograph machines
Loudon et al. New signal processing techniques for the decomposition of EMG signals
De Luca et al. Decomposition and analysis of intramuscular electromyographic signals
DE10042342A1 (en) Automatic detection and interpretation of electrocardiograms affected by heart pacemaker involves comparing pacemaker markings derived from analogue and digitized signals
Parsaei et al. Intramuscular EMG signal decomposition
Erim et al. Decomposition of intramuscular EMG signals using a heuristic fuzzy expert system
Mambrito et al. Acquisition and decomposition of the EMG signal
Xu et al. ART2 neural network for surface EMG decomposition
Varrecchia et al. Generalization of a wavelet-based algorithm to adaptively detect activation intervals in weak and noisy myoelectric signals