使用可穿戴设备的远程云端自动中风康复评估

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI:10.1109/eScience.2018.00063

Shane Halloran, J. Shi, Yu Guan, Xi Chen, Michael Dunne-Willows, J. Eyre

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引用次数: 1

摘要

我们概述了一个系统，可以使用手腕上佩戴的加速度计时间序列数据准确地远程评估中风康复水平。该系统基于数据中跨滑动窗口的聚类模型生成的特征，并利用云计算。预测模型是使用先进的机器学习技术建立的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Remote Cloud-Based Automated Stroke Rehabilitation Assessment Using Wearables

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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2018 IEEE 14th International Conference on e-Science (e-Science)

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