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Analysis of energy consumption for wearable ECG devices

机译:可穿戴式ECG设备的能耗分析

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Wearable health monitoring systems (WHMS) have received much attention for the last decade due to increasing healthcare costs and the aging world population. Although advances in sensors, embedded systems, wireless communication and intelligent information technologies has brought us tiny wearable ECG devices and efficient algorithms to continuously monitor and analyze ECG signals, energy consumption is a critical concern for practical usage. In this study, we examine three possible models of data transmissions — transmitting all data in real time (type 1), transmitting all data in batch periodically (type 2), or only transmitting the detected events (type 3), in which the third model is our proposed method. A simulated environment and a generic energy consumption model are developed to examine the influence of different strategies and Ventricular Fibrillation (VF) detection methods on energy consumption.
机译:由于越来越多的医疗费用和老化世界人口,可穿戴健康监测系统(WHMS)在过去十年中受到了很多关注。虽然传感器的进步,嵌入式系统,无线通信和智能信息技术使我们带来了微小的可穿戴的心电图​​设备和高效算法来连续监控和分析ECG信号,但能耗是实际使用的关键问题。在这项研究中,我们检查了三种可能的数据传输模型 - 实时发送所有数据(类型1),周期性地(类型2)以批量发送所有数据,或者仅发送检测到的事件(类型3),其中第三模特是我们的提出方法。开发了一种模拟环境和通用能量消耗模型,以研究不同策略和心室颤动(VF)检测方法对能量消耗的影响。

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