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Exploring wireless device-free localization technique to assist home-based neuro-rehabilitation.
Wang, Zhen; Li, Xiaoou; Wang, Guoli.
Afiliação
  • Wang Z; College of Medical Instrumentation, Shanghai University of Medicine & Health Sciences, Shanghai, China.
  • Li X; College of Medical Instrumentation, Shanghai University of Medicine & Health Sciences, Shanghai, China.
  • Wang G; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China.
Front Neurosci ; 18: 1344841, 2024.
Article em En | MEDLINE | ID: mdl-38370432
ABSTRACT
Home-based movement neuro-rehabilitation is quite necessary when the patient goes back home from hospital. Due to lack of supervision from doctors, rehabilitation at home is often forgotten. As an alternate to doctor-supervision, in this research, we explore the wireless device-free localization technique to assist the rehabilitation procedure. The localization technique can judge whether the patient is near the rehabilitation equipment and even obtain the movement trajectory. The most challenging problem in the wireless device-free localization system is that the received-signal-strength (RSS) of the electromagnetic-wave is unpredictable, which increases the localization error. How to select the informative RSS is pretty important. This research proposes a new criterion (i.e., fluctuation-level) to select the informative RSS. Experimental results show the effectiveness of the proposed fluctuation-level in reducing the localization error.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article