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Quantitative assessment of motor abilities in stroke survivors undergoing rehabilitation can be a valuable feedback to guide the rehabilitation process. The Functional Ability Scale (FAS) part of Wolf Motor Function Test (WMFT) is used to evaluate movement quality during performance of a set of functional motor tasks. In this paper, we show that information collected using body worn sensors such as...
This paper presents the results of a pilot study to assess the feasibility of using accelerometer data to estimate the severity of symptoms and motor complications in patients with Parkinson's disease. A support vector machine (SVM) classifier was implemented to estimate the severity of tremor, bradykinesia and dyskinesia from accelerometer data features. SVM-based estimates were compared with clinical...
Parkinson's disease is a common movement disorder and affects many older adults. The use of deep brain stimulation has been shown to have good results in symptom reduction, but quantitative methods for the adjustment of deep brain stimulator parameters are required. In this paper, we show that features derived from wearable sensors (accelerometers) are able to characterize changes in the severity...
The aim of this study is to identify movement characteristics associated with motor fluctuations in patients with Parkinson's disease by relying on wearable sensors. Improved methods of assessing longitudinal changes in Parkinson's disease would enable optimization of treatment and maximization of patient function. We used eight accelerometers on the upper and lower limbs to monitor patients while...
Motor abilities of stroke survivors are often severely affected. Post-stroke rehabilitation is guided by the use of clinical assessments of motor abilities. Clinical assessment scores can be predicted by models based on features extracted from the wearable sensor data. Wearable sensors would allow monitoring of subjects in the home and provide accurate assessments to guide the rehabilitation process...
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