Real-time ECG monitoring using compressive sensing on a heterogeneous multicore edge-device

Abstract

In a typical ambulatory health monitoring systems, wearable medical sensors are deployed on the human body to continuously collect and transmit physiological signals to a nearby gateway that forward the measured data to the cloud-based healthcare platform. However, this model often fails to respect the strict requirements of healthcare systems. Wearable medical sensors are very limited in terms of battery lifetime, in addition, the system reliance on a cloud makes it vulnerable to connectivity and latency issues. Compressive sensing (CS) theory has been widely deployed in electrocardiogramme ECG monitoring application to optimize the wearable sensors power consumption. The proposed solution in this paper aims to tackle these limitations by empowering a gatewaycentric connected health solution, where the most power consuming tasks are performed locally on a multicore processor. This paper explores the efficiency of real-time CS-based recovery of ECG signals on an IoT-gateway embedded with ARM's big.little TM multicore for different signal dimension and allocated computational resources. Experimental results show that the gateway is able to reconstruct ECG signals in real-time. Moreover, it demonstrates that using a high number of cores speeds up the execution time and it further optimizes energy consumption. The paper identifies the best configurations of resource allocation that provides the optimal performance. The paper concludes that multicore processors have the computational capacity and energy efficiency to promote gateway-centric solution rather than cloud-centric platforms.

A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects

“…The suggested technology may run on just 5.2 Millie-Watts of electricity. It is worth noting that the authors of [ 58 ] attempted to tackle the problem of power consumption in a wearable ECG monitoring device.…”

IoT-Based Applications in Healthcare Devices

“…Bansals and Gandhi have proposed an ECG monitoring system that can handle long-term and continuous Table-2 Table-1 Table-3 Hospital Journal of Healthcare Engineering monitoring by integrating the concept of nanoelectronics, big data, and IoT [74]. It is worthy to note that in [75], the authors have tried to resolve the issue of power consumption associated with a wearable ECG monitoring system. ey have proposed a unique method called compressive sensing that can optimize power consumption and provide optimal performance in ECG monitoring.…”

Edge Devices for Internet of Medical Things: Technologies, Techniques, and Implementation

“…In [31] an IoT platform is proposed for the real-time monitoring of an ECG signal. The platform is composed of a wearable device that collects the ECG signal, compresses it using the CS algorithm, and sends this wirelessly to an IoT edge device for reconstruction, classification, and analysis.…”