journal article·2025-11-18Open access

Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem

Hongwei Chu, Wooyoung Park, Yue Hu, Zhenhe Huang, Rui Shi, Jiyu Li, Zhiyuan Li, Mengge Wu, Yuyu Gao, Guangyao Zhao, Xingcan Huang, Chun Ki Yiu, Binbin Zhang, Dengfeng Li, Kuanming Yao, Jian Li, Yuan Guo, Ya Huang, Qiuqian Ou, Guoqiang Xu, Pengcheng Wu, Jiao Yang, Yingchun Li, Xinge Yu

ACS Nano· Volume 19· Issue 45

Abstract

Mental stress has been a paramount concern worldwide, serving as a critical element for the optimal functioning and thriving of families, communities, and societies. However, the evaluation of the mental stress state in current clinical practice relies on symptom criteria associated with self-reported psychometric tools and behavioral manifestations, which raises the concerns of both accuracy issue and difficulty in identifying classifications. Continuous and quantitative assessments of mental stress-related physical/biomarkers based on wearable technologies is a very feasible way to solve the hurdle, while the implementation of such technology at clinical scales remains quite challenging and has yet to be documented. Herein, we report the collection of advances in sensing strategies, system integration, and model construction for mental health monitoring and management. A set of physical/biomarkers (cortisol, glucose, body temperature, and heart rate) are selected based on the systematic studies on the stress-correlated physiological pathways to form the marker panel. Corresponding stable and sustainable sensing systems are established upon the optimization of nanomaterials and nanostructure design. Comprehensive indicators are further generated based on algorithm bonuses for acute and chronic stress assessment. The fully integrated reusable wearable biosystem demonstrates its effectiveness in identifying, quantifying, and tracking the prognosis of stress in paradigmatic stress scenarios and clinical applications of social anxiety disorder/depression. The technology reported here presents a promising solution for customized mental stress management to facilitate the development of healthcare in psychological well-being.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Emotion and Mood Recognition · Heart Rate Variability and Autonomic Control

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biomedical Engineering

Harbin Institute of Technology (Shenzhen)

City University of Hong Kong

School of Pharmacy

Shenzhen University Medical School, Shenzhen University

Department of Geriatrics, Xiehe Shenzhen Hospital

Huazhong University of Science and Technology

Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Sha Tin, Hong Kong 999077, China

Institute of Digital Medicine

Hong Kong Institute for Clean Energy (HKICE)

Funding

Research Grants Council, University Grants Committee · Science and Technology Foundation of Shenzhen City · Science, Technology and Innovation Commission of Shenzhen Municipality · Innovation and Technology Commission · City University of Hong Kong · National Natural Science Foundation of China · Shenzhen Medical Research Special Fund Project

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