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November 16, 2023IEEE Transactions on Consumer Electronics

Remote Physiological Measurement With Multiscale Feature Extraction and Global Attention Module

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Why the study?

Existing methods for measuring remote physiological signals using remote photoplethysmography are susceptible to light changes, head movements, and other conditions.

Population

Three datasets: UBFC-rPPG, COHFACE, and PURE

Comparison

Novel MPSFE and TDGAM modules vs existing methods

Authors

LZLin ZhaoSoutheast UniversityYXYanbing XueZWZhigang WangGansu University of Traditional Chinese Medicine

Discussion

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Overview

Advances technical feasibility of non-contact HR monitoring; leaves open prospective clinical validation before adoption.

Structured PICO

P
Population
Three datasets: UBFC-rPPG, COHFACE, and PURE
I
Intervention
Multi-scale physiological signal feature extraction module (MPSFE) and a plug-and-play time difference global attention module (TDGAM) for remote photoplethysmography (rPPG)
C
Comparator
Existing methods for measuring remote physiological signals
O
Outcome
Accuracy of heart rate measurementsurrogate

The proposed multi-scale feature extraction and global attention modules enhance the accuracy and robustness of non-contact heart rate measurement via remote photoplethysmography.

Cite This Study

Zhao et al. (2023) studied this question.

synapsesocial.com/papers/6a8bed05115600188cfb461dhttps://doi.org/10.1109/tce.2023.3333321
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