Adaptive Estimation Algorithm for Photoplethysmographic Heart Rate Based on Finite State Machine

Adaptive Estimation Algorithm for Photoplethysmographic Heart Rate Based on Finite State Machine

In order to address the issue of heart rate susceptibility to motion artifacts (MAs) when extracting it from photoplethysmography (PPG) signals, a heart rate estimation algorithm based on the finite state machine (FSM) is proposed. The algorithm first applies band-pass filtering to the PPG and three...

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Bibliographic Details
Main Authors: Ting Lan, Yanan Bie, Dong Hai, Jun Zhong
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
photoplethysmography
heart rate estimation
motion artifact
finite state machine
Online Access:https://www.mdpi.com/2076-3417/14/24/11631
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