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Fuzzy-genetic photoplethysmograph peak detection
Authors
Reich Rechner D. Canlas
Elmer P. Dadios
Carlo Noel E. Ochotorena
Publication date
1 January 2014
Publisher
Animo Repository
Abstract
© 2014 IEEE. Photoplethysmography (PPG) promises noninvasive body metrics measurement, especially that of heart rate. However, this system is prone to noise due to motion artifacts. This paper presents a fuzzy inference system, with membership functions and rules tuned by a genetic algorithm that utilizes the principal components of the PPG data accelerometer data from the x, y, and z coordinates in order to recover the peaks from the distorted PPG signal. A comparative test demonstrated that a 56.66% peak-to-peak correspondence to a reference ECG signal is achievable with the fuzzy-genetic system in place
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Animo Repository - De La Salle University Research
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Last time updated on 03/12/2021