Flexible Biosensors for Health Monitoring in the Era of AI: Design, Fabrication, and Edge Intelligence

Online ISSN: 2998-9000
DOI prefix: 10.63382
Editor-in-Chief: Prof. Shiren Wang
Publisher: Sci-access, USA
Review: Double-anonymous
Access: Open access, CC BY 4.0
APC: Free
Frequency: Continuous publication

Prashant Dhakal; Aolin Hou; Jae Gwang Kim; Xiaofei Wu; Jingjing Qiu; Shiren Wang

doi:10.63382/cvbymb61

Authors

Prashant Dhakal Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA
Aolin Hou Department of Materials Science and Engineering, Texas A&M University, College Station, TX, USA
Jae Gwang Kim Department of Materials Science and Engineering, Texas A&M University, College Station, TX, USA
Xiaofei Wu Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA
Jingjing Qiu Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA
Shiren Wang Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA

DOI:

https://doi.org/10.63382/cvbymb61

Keywords:

Flexible biosensors, Wearable health monitoring, Edge AI, Design-for-AI, Multimodal physiological sensing, Stretchable electronics, Machine learning

Abstract

Flexible and wearable biosensors, when co‑designed with artificial intelligence, enable continuous health monitoring by converting noisy, motion‑corrupted physiological signals into reliable clinical information. This review summarizes key flexible modalities (ECG, PPG/SpO₂, cuffless blood pressure, temperature, and biochemical sensing), materials and mechanical layouts, and scalable fabrication strategies, and explains how these choices shape signal quality, robustness, and suitability for edge and neuromorphic AI. It further outlines a design‑for‑AI framework that co‑optimizes sensor placement, mechanics, and sampling with lightweight edge models, multimodal fusion, and federated learning to realize low‑power, privacy‑preserving, and equitable wearable health systems.