التفاصيل البيبلوغرافية
| العنوان: |
AI-boosted and motion-corrected, wireless near-infrared sensing system for continuously monitoring laryngeal muscles. |
| المؤلفون: |
Yihan Liu1, Putcha, Arjun1, Lyda, Gavin2, Nanqi Peng3, Pai, Salil3, Tien Nguyen1, Sicheng Xing3, Shang Peng4, Yiyang Fan5, Yizhang Wu1, Wanrong Xie1, Wubin Bai1 wbai@unc.edu |
| المصدر: |
Proceedings of the National Academy of Sciences of the United States of America. 12/17/2024, Vol. 121 Issue 51, p1-11. 78p. |
| مصطلحات موضوعية: |
*NEUROMUSCULAR system physiology, *NEUROMUSCULAR diseases, *RECURRENT neural networks, *LARYNGEAL muscles, *NEAR infrared spectroscopy |
| مستخلص: |
Neuromuscular diseases pose significant health and economic challenges, necessitating innovative monitoring technologies for personalizable treatment. Existing devices detect muscular motions either indirectly from mechanoacoustic signatures on skin surface or via ultrasound waves that demand specialized skin adhesion. Here, we report a wireless wearable system, Laryngeal Health Monitor (LaHMo), designed to be conformally placed on the neck for continuously measuring movements of underlying muscles. The system uses near-infrared (NIR) light that features deep-tissue penetration and strong interaction with myoglobin to capture muscular locomotion. The incorporated inertial measurement unit sensor further decouples the superposition of signals from NIR recordings. Integrating a multimodal AI-boosted algorithm based on recurrent neural network, the system accurately classifies activities of physiological events. An adaptive model enables fast individualization without enormous data sources from the target user, facilitating its broad applicability. Long-term tests and simulations suggest the potential efficacy of the LaHMo platform for real-world applications, such as monitoring disease progression in neuromuscular disorders, evaluating treatment efficacy, and providing biofeedback for rehabilitation exercises. The LaHMo platform may serve as a general noninvasive, user-friendly solution for assessing neuromuscular function beyond the anterior neck, potentially improving diagnostics and treatment of various neuromuscular disorders. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
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