Shane Halloran, J. Shi, Yu Guan, Xi Chen, Michael Dunne-Willows, J. Eyre
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引用次数: 1
Abstract
We outline a system enabling accurate remote assessment of stroke rehabilitation levels using wrist worn accelerometer time series data. The system is built based on features generated from clustering models across sliding windows in the data and makes use of computation in the cloud. Predictive models are built using advanced machine learning techniques.
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