Self-powered porous polymer sensors with high sensitivity for machine learning-assisted motion and rehabilitation monitoring-Reference-Cited by-同舟云学术

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Self-powered porous polymer sensors with high sensitivity for machine learning-assisted motion and rehabilitation monitoring

Published:2024-09 Issue: Volume:128 Page:109817
ISSN:2211-2855
Container-title:Nano Energy
language:en
Short-container-title:Nano Energy

Author:

Liu Liqiang,Li Jun,Tian Zhiyu,Hu Xiaowei,Wu Han,Chen Xucong,Zhang Le,Ou-Yang Wei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai Municipality

Publisher

Elsevier BV

Reference69 articles.

1. A fully integrated wearable ultrasound system to monitor deep tissues in moving subjects;Lin;Nat. Biotechnol.,2024

2. Spatiotemporal neuromodulation therapies engaging muscle synergies improve motor control after spinal cord injury;Wenger;Nat. Med.,2016

3. Stretchable, self-healing, and skin-mounted active sensor for multipoint muscle function assessment;Wang;ACS Nano,2021

4. Individualization of exosuit assistance based on measured muscle dynamics during versatile walking;Nuckols;Sci. Robot.,2021

5. Recent advances in triboelectric nanogenerator-based self-powered sensors for monitoring human body signals;Ou-Yang;Nano Energy,2024

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2. Droplet-based triboelectric devices using liquid dielectrics for self-powered sensing applications;Chemical Engineering Journal;2024-10

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4. A Triboelectric Nanogenerator Based on TPU/MXene/Carbon for Heart Rate and Tai Chi Posture Monitoring;ChemNanoMat;2024-08-26

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