4.8 Article

Bioinspired shark skin-based liquid metal triboelectric nanogenerator for self-powered gait analysis and long-term rehabilitation monitoring

期刊

NANO ENERGY
卷 104, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.nanoen.2022.107852

关键词

Triboelectric nanogenerator; Self-powered sensor; Solid-liquid contact electrification; Gait analysis; Bioinspired structure; Shark skin

资金

  1. National Science and Technology Council [111-2636-E- 007-022, 110-2224-E-003-001]
  2. Ministry of Education of Taiwan
  3. National Tsing Hua University
  4. Chang Gung Me- morial Hospital

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A next-generation self-powered solid-liquid triboelectric nanogenerator-based flexible wearable sensor has been developed for real-time gait monitoring. The sensor possesses high sensitivity and long-term stability, thanks to its unique surface morphology. It is a low-cost, highly scalable sensor compatible with diverse detection strategies, making it applicable in personalized health care and sports science.
Real-time gait monitoring is crucial for neuromuscular diagnosis and rehabilitation of neuromuscular ailments. However, the existing wearable sensors for gait analysis suffer from several drawbacks, such as external power requirement, poor sensitivity, short-term stability, and professional operator requirement, which restrict their applicability outside clinical settings. Here, a next-generation self-powered solid-liquid triboelectric nanogenerator-based flexible wearable sensor is developed. The proposed sensor is composed of a highly resilient liquid metal encapsulated within an innovative bio-mimicked shark skin-like microstructure embedded on the Ecoflex surface. The unique surface morphology imparts hydrophobicity to the solid triboelectric layer, which prevents the liquid metal adhesion during sensing and facilitates highly sensitive real-time monitoring of signals and long-term stability. The as-designed low-cost, highly scalable self-powered sensor, which is also compatible with diverse detection strategies, provides an on-demand user-friendly point-of-care gait detection and rehabilitation monitoring system with significant applications in personalized health care and sports science.

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