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Wearable Sensor Based Stooped Posture Estimation in Simulated Parkinson's Disease Gaits.
Dang, Quoc Khanh; Seo, Han Gil; Pham, Duy Duong; Chee, Youngjoon.
Afiliação
  • Dang QK; Impedance Imaging Research Center (IIRC), Kyung Hee University, Seoul 02447, Korea. khanhdq8689@gmail.com.
  • Seo HG; Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul 03080, Korea. hgseo80@gmail.com.
  • Pham DD; Electrical and Electronic Engineering department, The University of Danang-University of Technology and Education, Danang 550000, Vietnam. duyduongd2@gmail.com.
  • Chee Y; School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea. yjchee@ulsan.ac.kr.
Sensors (Basel) ; 19(2)2019 Jan 09.
Article em En | MEDLINE | ID: mdl-30634462
Stooping is a posture which is described as an involuntary forward bending of the thoracolumbar spine. Conventionally, the stooped posture (SP) in Parkinson's disease patients is measured in static or limited movement conditions using a radiological or optoelectronic system. In the dynamic condition with long movement distance, there was no effective method in preference to the empirical assessment from doctors. In this research, we proposed a practical method for estimating the SP with a high accuracy where accelerometers can be mounted on the neck or upper back as a wearable sensor. The experiments with simulated subjects showed a high correlation of 0.96 and 0.99 between the estimated SP angle and the reference angles for neck and back sensor position, respectively. The maximum absolute error (0.9 and 1.5 degrees) indicated that the system can be used, not only in clinical assessment as a measurement, but also in daily life as a corrector.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Técnicas Biossensoriais / Marcha / Monitorização Fisiológica Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Técnicas Biossensoriais / Marcha / Monitorização Fisiológica Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article