Coherence between decomposed components of wrist and finger ppg signals by imputing missing features and resolving ambiguous features

Pei Yun Tsai, Chiu Hua Huang, Jia Wei Guo, Yu Chuan Li, An Yeu Andy Wu, Hung Ju Lin, Tzung Dau Wang

研究成果: 雜誌貢獻期刊論文同行評審

9 引文 斯高帕斯(Scopus)

摘要

Background: Feature extraction from photoplethysmography (PPG) signals is an essential step to analyze vascular and hemodynamic information. Different morphologies of PPG waveforms from different measurement sites appear. Various phenomena of missing or ambiguous features exist, which limit subsequent signal processing. Methods: The reasons that cause missing or ambiguous features of finger and wrist PPG pulses are analyzed based on the concept of component waves from pulse decomposition. Then, a systematic approach for missing-feature imputation and ambiguous-feature resolution is proposed. Results: From the experimental results, with the imputation and ambiguity resolution technique, features from 35,036 (98.7%) of 35,502 finger PPG cycles and 36307 (99.1%) of 36,652 wrist PPG cycles can be successfully identified. The extracted features became more stable and the standard deviations of their distributions were reduced. Furthermore, significant correlations up to 0.92 were shown between the finger and wrist PPG waveforms regarding the positions and widths of the third to fifth component waves. Conclusion: The proposed missing-feature imputation and ambiguous-feature resolution solve the problems encountered during PPG feature extraction and expand the feature availability for further processing. More intrinsic properties of finger and wrist PPG are revealed. The coherence between the finger and wrist PPG waveforms enhances the applicability of the wrist PPG.

原文???core.languages.en_GB???
文章編號4315
期刊Sensors (Switzerland)
21
發行號13
DOIs
出版狀態已出版 - 1 7月 2021

指紋

深入研究「Coherence between decomposed components of wrist and finger ppg signals by imputing missing features and resolving ambiguous features」主題。共同形成了獨特的指紋。

引用此