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Adaptive threshold method for the peak detection of photoplethysmographic waveform

Authors
Journal
Computers in Biology and Medicine
0010-4825
Publisher
Elsevier
Publication Date
Volume
39
Issue
12
Identifiers
DOI: 10.1016/j.compbiomed.2009.10.006
Keywords
  • Photoplethysmography (Ppg)
  • Peak Detection
  • Adaptive Threshold
  • Frequency Analysis
  • Respiratory Noise
Disciplines
  • Biology
  • Computer Science
  • Medicine

Abstract

Abstract Photoplethysmography (PPG)-based temporal analyses have been widely used as a useful analytical method in physiological and cardiovascular diagnosis. Most of temporal approaches of PPG are based on detected peak points, peak and foot of PPG. The aim of presented study is the development of improved peak detection algorithm of PPG waveform. The present study demonstrates a promising approach to overcome respiration effect and to detect PPG peak. More extensive investigation is necessary to adapt for the cardiovascular diseases, whose PPG morphology has different form.

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