An algorithm for the detection of peaks in biological signals

Surya R. Dumpala; S. Narasimha Reddy; Sushil K. Sarna

doi:10.1016/0010-468X(82)90030-7

An algorithm for the detection of peaks in biological signals

Surya R. Dumpala, S. Narasimha Reddy, Sushil K. Sarna

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

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.

Original language	English (US)
Pages (from-to)	249-256
Number of pages	8
Journal	Computer Programs in Biomedicine
Volume	14
Issue number	3
DOIs	https://doi.org/10.1016/0010-468X(82)90030-7
State	Published - Jun 1982
Externally published	Yes

Keywords

Biological signals
Maxima and minima
Peaks

ASJC Scopus subject areas

Medicine (miscellaneous)

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10.1016/0010-468X(82)90030-7

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AU - Reddy, S. Narasimha

AU - Sarna, Sushil K.

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Y1 - 1982/6

N2 - 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.

AB - 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.

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KW - Maxima and minima

KW - Peaks

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JO - Computer Programs in Biomedicine

JF - Computer Programs in Biomedicine

IS - 3

ER -

An algorithm for the detection of peaks in biological signals

Abstract

Keywords

ASJC Scopus subject areas

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