Matching between physiological sensor and smartphone based on RR intervals time series

2015 IEEE International Conference on Communication Workshop (ICCW) Pub Date : 2015-06-08 DOI:10.1109/ICCW.2015.7247194

Giorgio Quer, M. Danieletto

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引用次数: 3

Abstract

Ambient assisted living is a key enabler to increase the quality of life, and its importance is going to increase in the next decade due to a significant increment in the number and in the percentage of the elderly population. Many solutions have been proposed to compensate the age related physical limitations and to guarantee autonomy and safety to the elderly people, allowing them to continue their life in their own environment. There are several open issues to solve in order to enable the practical implementation of these solutions. One of them regards the intrinsic difficulties to create a network between a personal smartphone and the correct physiological sensors, in the presence of multiple sensor devices, where the automatic choice of the correct sensor is not obvious. In this paper we propose a solution to this problem, based on an automatic pairing that relies on the instantaneous variability of the heart rate of each subject. We evaluate the technique by collecting real data and showing some promising performance accuracy results, opening new research opportunities in this area.

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基于RR区间时间序列的生理传感器与智能手机匹配

环境辅助生活是提高生活质量的关键因素，由于老年人口数量和百分比的显著增加，其重要性将在未来十年中增加。人们提出了许多解决方案来补偿与年龄有关的身体限制，并保证老年人的自主性和安全性，使他们能够在自己的环境中继续生活。为了能够实际实现这些解决方案，有几个悬而未决的问题需要解决。其中之一是考虑到在个人智能手机和正确的生理传感器之间建立网络的内在困难，在多个传感器设备存在的情况下，正确传感器的自动选择并不明显。在本文中，我们提出了一种基于自动配对的解决方案，该配对依赖于每个受试者心率的瞬时可变性。我们通过收集实际数据来评估该技术，并展示了一些有希望的性能准确性结果，为该领域开辟了新的研究机会。

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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2015 IEEE International Conference on Communication Workshop (ICCW)

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