E. Martín-González, Rodrigo de Luis García, J. P. Casaseca-de-la-Higuera, J. R. Leiza, J. Andrés-de-Llano, C. Alberola-López
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引用次数: 0
摘要
提出了一种在两个平台之间映射活动测量数据的方法;一个平台是CE和FDA批准的ActiGraph wgt3g - bt，用于临床诊断;另一个平台是Microsoft Band 2 Smartband，面向公众。该方法包括使用机器学习技术进行回归，具体来说，已经测试了不同配置的神经网络。通过内部移动应用程序实现了对数据的访问。
Mapping Raw Acceleration Data on ActiGraph Counts: A Machine Learning Approach
A method for mapping actimetry data between two platforms has been carried out; one platform is the CE and FDA approved ActiGraph wGT3X-BT, valid in clinical diagnosis, and the second one is Microsoft Band 2 Smartband, available for the general public. The method consists of a regression performed using machine learning technique, specifically, different configurations of neural networks have been tested. Access to the data has been achieved by means of an in-house mobile application.
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