Application Research of Microstructured Flexible Sensors in Rehabilitative Wearable Sensing

Flexible sensors enable the continuous, real‐time monitoring of the physiological and movement signals of patients, providing data support for precise rehabilitation strategies and playing a crucial role in rehabilitation medicine. However, traditional rigid sensors are often incompatible with dynamic body contours due to their high material hardness and poor conformability, which can lead to signal distortion and discomfort during wearing, thus limiting their application in the rehabilitation field. Microstructured flexible sensors significantly improve the sensitivity, detection limit, and wearing comfort of sensors by combining flexible substrate materials with microstructural designs, providing an ideal choice for rehabilitation monitoring. This paper systematically reviews various microstructure designs aimed at enhancing sensor performance, citing specific application cases of flexible sensors in physiological signal monitoring, motor function assessment, and rehabilitation training assistance. It further emphasizes the pivotal role of artificial intelligence algorithms in data processing, feature extraction, and model construction, enabling intelligent analysis of physiological signals and motor functions. The deep integration of AI algorithms with microstructure‐based flexible sensors overcomes the limitations of traditional sensors that are limited to data acquisition, emerging as a key innovation driving the clinical translation of precision rehabilitation. Finally, this paper envisions future directions, including the combination of dynamically adjustable microstructures with adaptive AI algorithms and the exploration of potential sensor integration strategies with the goal of realizing the vision of truly personalized, proactive rehabilitation medicine.