Toward community-based wheelchair evaluation with machine learning methods:

Journal of Rehabilitation and Assistive Technologies Engineering

Pin-Wei BChen¹ 

关键词: Machine learning;    wheelchair propulsion;    kinematic;    outcome measure;    wearable sensors;    accelerometer;    inertial measurement unit;   

DOI  :  10.1177/2055668318808409

学科分类：工程和技术（综合）

来源: Sage Journals

【 摘 要 】

IntroductionUpper extremity pain among manual wheelchair users induces functional decline and reduces quality of life. Research has identified chronic overuse due to wheelchair propulsion as one of the factors associated with upper limb injuries. Lack of a feasible tool to track wheelchair propulsion in the community precludes testing validity of wheelchair propulsion performed in the laboratory. Recent studies have shown that wheelchair propulsion can be tracked through machine learning methods and wearable accelerometers. Better results were found in subject-specific machine learning method. To further develop this technique, we conducted a pilot study examining the feasibility of measuring wheelchair propulsion patterns.MethodsTwo participants, an experienced manual wheelchair user and an able-bodied individual, wore two accelerometers on their arms. The manual wheelchair user performed wheelchair propulsion patterns on a wheelchair roller system and overground. The able-bodied participant performed co...

【 授权许可】

CC BY