Assessing Mental Health and Emotional States by Using Smartphone Photoplethysmography–Based Digital Pulse Waveform Analysis: Cross-Sectional Observational Study

Smartphone-based photoplethysmography can capture pulse-waveform features associated with psychological measures, particularly negative psychological states. However, predictive performance remains limited, and variability in signal quality from user-operated recordings poses a practical challenge.

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Publication Details

Journal
JMIR mhealth and uhealth
Published
2026-02-03
DOI
https://doi.org/10.2196/81301
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing Mental Health and Emotional States by Using Smartphone Photoplethysmography–Based Digital Pulse Waveform Analysis: Cross-Sectional Observational Study

Ivan Liu, Qi Zhong, Shiguang Ni, Chang Liu et al.
JMIR mhealth and uhealth
Non-Invasive Vital Sign Monitoring
article

Assessing Mental Health and Emotional States by Using Smartphone Photoplethysmography–Based Digital Pulse Waveform Analysis: Cross-Sectional Observational Study

Ivan Liu, Qi Zhong, Shiguang Ni, Chang Liu, Jing Luo, Luming Hu
article en

Abstract

Smartphone-based photoplethysmography can capture pulse-waveform features associated with psychological measures, particularly negative psychological states. However, predictive performance remains limited, and variability in signal quality from user-operated recordings poses a practical challenge.

JMIR mhealth and uhealthVol. 14
Beijing Normal University (CN), University Town of Shenzhen (CN), Tsinghua University (CN)
Gender equality
Openalex Percentile: Top 71%
Non-Invasive Vital Sign Monitoring
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