Literature DB >> 7105677

An algorithm for the detection of peaks in biological signals.

S R Dumpala, S N Reddy, S K Sarna.   

Abstract

An algorithm based on the theory of maxima and minima is described for the detection of peaks in digitized biological signals. A three-point 'sliding' window is used to identify the peaks, while a threshold window involving a combination of amplitude, slope or duration criterion is employed to eliminate spurious peaks. The algorithm is well-suited for real-time processing of various biological signals to obtain such parameters as amplitudes and durations of peaks. Some examples of its applications to the analysis of gastric electrical activity are discussed.

Mesh:

Year:  1982        PMID: 7105677     DOI: 10.1016/0010-468x(82)90030-7

Source DB:  PubMed          Journal:  Comput Programs Biomed        ISSN: 0010-468X


  8 in total

1.  The systematical analysis of oriental pulse waveform: a practical approach.

Authors:  Junyoung Lee
Journal:  J Med Syst       Date:  2008-02       Impact factor: 4.460

2.  Mapping slow waves and spikes in chronically instrumented conscious dogs: automated on-line electrogram analysis.

Authors:  Wim J E P Lammers; B Michiels; J Voeten; L Ver Donck; J A J Schuurkes
Journal:  Med Biol Eng Comput       Date:  2008-01-17       Impact factor: 2.602

3.  An identification technique for the spike artefact of saccadic eye movements.

Authors:  M Juhola; V Jäntti; I Pyykkö; L Schalén; M Akesson; M Magnusson
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

4.  Effect of secoverine on colonic myoelectric activity in diverticular disease of the colon.

Authors:  M Suchowiecky; D D Clarke; M Bhasker; R J Perry; W J Snape
Journal:  Dig Dis Sci       Date:  1987-08       Impact factor: 3.199

5.  The study on the intellectual analysis algorithm for oriental pulse parameters.

Authors:  Junyoung Lee
Journal:  J Med Syst       Date:  2007-10       Impact factor: 4.460

6.  Feature selection and classifier parameters estimation for EEG signals peak detection using particle swarm optimization.

Authors:  Asrul Adam; Mohd Ibrahim Shapiai; Mohd Zaidi Mohd Tumari; Mohd Saberi Mohamad; Marizan Mubin
Journal:  ScientificWorldJournal       Date:  2014-08-19

7.  Evaluation of different time domain peak models using extreme learning machine-based peak detection for EEG signal.

Authors:  Asrul Adam; Zuwairie Ibrahim; Norrima Mokhtar; Mohd Ibrahim Shapiai; Paul Cumming; Marizan Mubin
Journal:  Springerplus       Date:  2016-07-11

8.  Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals.

Authors:  Asrul Adam; Zuwairie Ibrahim; Norrima Mokhtar; Mohd Ibrahim Shapiai; Marizan Mubin; Ismail Saad
Journal:  Springerplus       Date:  2016-09-15
  8 in total

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