Comparative accuracy of a shoulder range motion measurement sensor and Vicon 3D motion capture for shoulder abduction in frozen shoulder.

Park, Chanhee; An, Yeongsang; Yoon, Hyunsik; Park, Ilbong; Kim, Kyoungtae; Kim, Chungyoo; Cha, Youngjoo

Park, Chanhee; An, Yeongsang; Yoon, Hyunsik; Park, Ilbong; Kim, Kyoungtae; Kim, Chungyoo; Cha, Youngjoo.

Afiliación

Park C; Department of Physical Therapy, Yonsei University, Wonju, Korea.
An Y; Funrehab Co., Ltd, Daejoeon, Korea.
Yoon H; Funrehab Co., Ltd, Daejoeon, Korea.
Park I; Department of Physical Therapy, Chungnam National University Hospital, Daejeon, Korea.
Kim K; Department of Sports Rehabilitation, Busan University of Foreign Studies, Busan, Korea.
Kim C; Department of Physical Therapy, Cheju Halla University, Jeju, Korea.
Cha Y; Department of Rehabilitation Medicine, Busan St. Mary's Hospital, Busan, Korea.

Technol Health Care ; 30(S1): 251-257, 2022.

Article en En | MEDLINE | ID: mdl-35124602

Asunto(s)

Bursitis; Articulación del Hombro; Inteligencia Artificial; Fenómenos Biomecánicos; Bursitis/diagnóstico; Femenino; Humanos; Masculino; Rango del Movimiento Articular; Hombro

Palabras clave

Shoulder abduction; artificial intelligence; convolutional neural network; frozen shoulder

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Articulación del Hombro / Bursitis Tipo de estudio: Diagnostic_studies Idioma: En Revista: Technol Health Care Asunto de la revista: ENGENHARIA BIOMEDICA / SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article

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