Feasibility of spirography features for objective assessment of motor function in Parkinson's disease

作者：

Highlights：

• A method for self-monitoring the motor function in Parkinson's disease is presented.

• Slowness of movement (bradykinesia) is typically associated with under-medication.

• Involuntary movements (dyskinesia) can be the result of over-medication.

• A machine learning model that detects bradykinesia and dyskinesia is proposed.

• The model's visual explanatory power is evaluated.

摘要

•A method for self-monitoring the motor function in Parkinson's disease is presented.•Slowness of movement (bradykinesia) is typically associated with under-medication.•Involuntary movements (dyskinesia) can be the result of over-medication.•A machine learning model that detects bradykinesia and dyskinesia is proposed.•The model's visual explanatory power is evaluated.

论文关键词：Parkinson's disease,Movement disorder,Spirography,Spirography features,Objective monitoring,Visualisation

论文评审过程：Received 26 March 2017, Accepted 28 March 2017, Available online 31 March 2017, Version of Record 6 October 2017.

论文官网地址：https://doi.org/10.1016/j.artmed.2017.03.011