The WearPhone: Changing smartphones into multichannel vital signs monitors

C. Crema, A. Depari, A. Flammini, E. Sisinni, A. Vezzoli
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引用次数: 9

Abstract

Traditional healthcare solutions oblige patients to stay in hospital; bio-signal monitoring and treatment dosing require the presence of specialized personnel. In turn, this scenario implies high-cost, especially for chronic diseases or fragile people surveillance. Wearable sensor-based healthcare solutions may be an effective approach for lowering costs, since they offer good performance and can be used directly at home, e.g., for permanent self-monitoring. In addition, their communication capabilities make easier to exchange information with remotely located professionals. Wearables are smart objects, consisting of sensors, processing units and communication modules, which rely on a smartphone for data collection, display and remote communication. In this paper, authors modify this paradigm moving the computational capability out of the wearable into the smartphone; in this way, raw vital signal stream can be obtained, overcoming possible limitations of the wearable itself. The aim of the work is to verify multichannel capability of the proposed approach, which paves the way to multi-parametric bio-signal analysis. An experimental setup has been arranged using a real-world smartphone and tests have been carried out to evaluate the performance. In particular, it has been verified that three ECG-like signals can be simultaneously collected leveraging on simple multiplexing in the frequency domain.
可穿戴手机:将智能手机变成多通道生命体征监测仪
传统的医疗保健解决方案迫使患者留在医院;生物信号监测和治疗剂量需要专业人员在场。反过来,这种情况意味着高成本,特别是对慢性病或脆弱人群的监测。基于可穿戴传感器的医疗保健解决方案可能是降低成本的有效方法,因为它们具有良好的性能,并且可以直接在家中使用,例如,用于永久自我监测。此外,它们的通信能力使与远程专业人员交换信息变得更加容易。可穿戴设备是一种智能设备,由传感器、处理单元和通信模块组成,依靠智能手机进行数据收集、显示和远程通信。在本文中,作者修改了这一范式,将计算能力从可穿戴设备转移到智能手机;通过这种方式,可以获得原始生命信号流,克服了可穿戴设备本身可能存在的局限性。该工作的目的是验证所提出的方法的多通道能力,为多参数生物信号分析铺平道路。使用现实世界的智能手机安排了一个实验设置,并进行了测试来评估性能。特别是,已经验证了利用简单的频域复用可以同时收集三个类似ecg的信号。
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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