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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

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)39192-39209
Number of pages18
JournalACS Nano
Volume19
Issue number45
DOIs
Publication statusPublished - 18 Nov 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • flexible electronics
  • health management
  • mental stress
  • sweat sensor
  • wearable biosensor

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