Peer-Reviewed Publication
Commun Med (Lond)2026July 4, 2026Journal Article
A wearable device dataset for mental health assessment using laser Doppler flowmetry and fluorescence spectroscopy sensors.
Minh Ngoc Nguyen1,2, Khai Le-Duc3,4, Tan-Hanh Pham5, Trong Nhan Nguyen6, Trang Nguyen7, Ba Kien Tran8, Viktor Dremin1, Sergei Sokolovsky1, Edik Rafailov1, Truong-Son Hy9
1Aston University, Birmingham, UK.
2Industrial University of Ho Chi Minh City, Ho Chi Minh City, Vietnam.
3University of Toronto, Toronto, ON, Canada.
4University Health Network, Toronto, ON, Canada.
5Florida Institute of Technology, Melbourne, FL, USA.
6Pukyong National University, Busan, Republic of Korea.
7Stanford University, Stanford, CA, USA.
8Hai Duong Central College of Pharmacy, Hai Duong, Vietnam.
9The University of Alabama at Birmingham, Birmingham, AL, USA. thy@uab.edu.
Abstract
BACKGROUND: Mental health conditions such as depression, anxiety, and stress are commonly assessed using self-reported questionnaires and limited wearable physiological measures. However, reliance on subjective reporting, restricted sensor modalities such as heart rate variability and electrodermal activity, and small or homogeneous datasets may limit generalizability. We aimed to evaluate whether…
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