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Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit.
Dai, Houde; Zhang, Pengyue; Lueth, Tim C.
Afiliação
  • Dai H; Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Bolan Av., Jinjiang 362200, China. dhd@fjirsm.ac.cn.
  • Zhang P; Institute of Micro Technology and Medical Device Technology, Technische Universitaet Muenchen, 85748 Garching, Germany. dhd@fjirsm.ac.cn.
  • Lueth TC; Medical Faculty, Kunming University of Science and Technology, Kunming 650500, China. zpy19802000@163.com.
Sensors (Basel) ; 15(10): 25055-71, 2015 Sep 29.
Article em En | MEDLINE | ID: mdl-26426020
ABSTRACT
Quantitative assessment of parkinsonian tremor based on inertial sensors can provide reliable feedback on the effect of medication. In this regard, the features of parkinsonian tremor and its unique properties such as motor fluctuations and dyskinesia are taken into account. Least-square-estimation models are used to assess the severities of rest, postural, and action tremors. In addition, a time-frequency signal analysis algorithm for tremor state detection was also included in the tremor assessment method. This inertial sensor-based method was verified through comparison with an electromagnetic motion tracking system. Seven Parkinson's disease (PD) patients were tested using this tremor assessment system. The measured tremor amplitudes correlated well with the judgments of a neurologist (r = 0.98). The systematic analysis of sensor-based tremor quantification and the corresponding experiments could be of great help in monitoring the severity of parkinsonian tremor.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Tremor / Técnicas Biossensoriais / Aplicativos Móveis Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Tremor / Técnicas Biossensoriais / Aplicativos Móveis Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2015 Tipo de documento: Article