Towards remote monitoring of dynamic arm supports for individuals with Duchenne muscular dystrophy using 3D accelerometry
作者：
Highlights：
• Dynamic arm supports promote independence in users with Duchenne muscular dystrophy.
• Accelerometry data during a device trial offers clear insight on usage, performance.
• In this study we use feature extraction and SVM classifiers with accelerometry data.
• We can identify use of a dynamic arm support and success of standardized movements.
• The proposed methods are crucial first steps towards remote monitoring of device use.
摘要
•Dynamic arm supports promote independence in users with Duchenne muscular dystrophy.•Accelerometry data during a device trial offers clear insight on usage, performance.•In this study we use feature extraction and SVM classifiers with accelerometry data.•We can identify use of a dynamic arm support and success of standardized movements.•The proposed methods are crucial first steps towards remote monitoring of device use.
论文关键词：3D Accelerometry,Dynamic arm supports,Duchenne muscular dystrophy,Classification,Feature selection
论文评审过程：Received 18 December 2020, Revised 18 May 2022, Accepted 30 May 2022, Available online 6 June 2022, Version of Record 11 June 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117712
