Abstract

Ubiquitous electrocardiography (ECG) sensing with wireless connectivity will be a solid alternative to conventional in-hospital healthcare surveillance. This paper presents a prototype for long-term ECG measurement equipment using an IoT environment over a collaborative diagnosis network.  We propose a collaborative vision of working on two major paths for designing a device for long-term ECG surveillance: the design path and the decision path. The design path is made from the sensors design, the analog front-end design, the IoT equipment design, the gateway application, to the cloud application. The decision path is from the acquired ECG signal through the software decision at the IoT equipment level and software decision on the gateway level and cloud application level to the highest level represented by the human. We summarized the evolution and performance of Electric Conductive Textiles (ECT) as the primary material for long-term wearable ECG electrodes based on the skin-electrode contact impedance, motion artifacts, signal quality, and skin-electrode chemical interaction. The presented system topology was designed for lower power consumption in a collaborative diagnosis network environment.

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