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A-WEAR Bracelet for Detection of Hand Tremor and Bradykinesia in Parkinson's Patients.
Channa, Asma; Ifrim, Rares-Cristian; Popescu, Decebal; Popescu, Nirvana.
Afiliación
  • Channa A; Computer Science Department, University POLITEHNICA of Bucharest, RO-060042 Bucharest, Romania.
  • Ifrim RC; DIIES Department, University Mediterranea of Reggio Calabria, 89100 Reggio Calabria, Italy.
  • Popescu D; Computer Science Department, University POLITEHNICA of Bucharest, RO-060042 Bucharest, Romania.
  • Popescu N; Computer Science Department, University POLITEHNICA of Bucharest, RO-060042 Bucharest, Romania.
Sensors (Basel) ; 21(3)2021 Feb 02.
Article en En | MEDLINE | ID: mdl-33540570
Parkinson's disease patients face numerous motor symptoms that eventually make their life different from those of normal healthy controls. Out of these motor symptoms, tremor and bradykinesia, are relatively prevalent in all stages of this disease. The assessment of these symptoms is usually performed by traditional methods where the accuracy of results is still an open question. This research proposed a solution for an objective assessment of tremor and bradykinesia in subjects with PD (10 older adults aged greater than 60 years with tremor and 10 older adults aged greater than 60 years with bradykinesia) and 20 healthy older adults aged greater than 60 years. Physical movements were recorded by means of an AWEAR bracelet developed using inertial sensors, i.e., 3D accelerometer and gyroscope. Participants performed upper extremities motor activities as adopted by neurologists during the clinical assessment based on Unified Parkinson's Disease Rating Scale (UPDRS). For discriminating the patients from healthy controls, temporal and spectral features were extracted, out of which non-linear temporal and spectral features show greater difference. Both supervised and unsupervised machine learning classifiers provide good results. Out of 40 individuals, neural net clustering discriminated 34 individuals in correct classes, while the KNN approach discriminated 91.7% accurately. In a clinical environment, the doctor can use the device to comprehend the tremor and bradykinesia of patients quickly and with higher accuracy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Hipocinesia / Dispositivos Electrónicos Vestibles / Monitoreo Fisiológico Tipo de estudio: Diagnostic_studies Límite: Aged / Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Rumanía Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Hipocinesia / Dispositivos Electrónicos Vestibles / Monitoreo Fisiológico Tipo de estudio: Diagnostic_studies Límite: Aged / Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Rumanía Pais de publicación: Suiza