4.6 Article

Coherence between Decomposed Components of Wrist and Finger PPG Signals by Imputing Missing Features and Resolving Ambiguous Features

Journal

SENSORS
Volume 21, Issue 13, Pages -

Publisher

MDPI
DOI: 10.3390/s21134315

Keywords

photoplethysmography (PPG); pulse decomposition analysis (PDA); missing feature; imputation

Funding

  1. MediaTek Inc. [MTKC-2019-0100]

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This study analyzes the reasons for missing or ambiguous features in finger and wrist PPG pulses, and proposes a systematic approach to solve these issues. Experimental results show that with the imputation and resolution technique, most features of finger and wrist PPG cycles can be successfully identified, leading to more stable extracted features. The coherence between finger and wrist PPG waveforms enhances the applicability of wrist PPG.
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.

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