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AuthorDjelouat, Hamza
AuthorAl Disi, Mohamed
AuthorBoukhenoufa, Issam
AuthorAmira, Abbes
AuthorBensaali, Faycal
AuthorKotronis, Christos
AuthorPoliti, Elena
AuthorNikolaidou, Mara
AuthorDimitrakopoulos, George
Available date2022-12-29T07:34:44Z
Publication Date2020
Publication NameMicroprocessors and Microsystems
AbstractIn 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 gateway-centric 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 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. 2019
SponsorThis paper was made possible by National Priorities Research Program (NPRP) grant no. 9-114-2-055 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. Hamza Djelouat received a BEng degree in telecommunication from the Institute of Electrical and Electronic Engineering, Boumerdes, Algeria, in 2013 and an M.Sc. degree in electronic systems majoring telecommunication from The Ecole Militaire Polytechnique (EMP), Algiers, Algeria, in 2015. He is currently a research assistant at Qatar University. His research interests are mainly in digital signal processing and the applications of compressive sensing in wireless networks and connected health. Mohammed Al Disi received his B.S. in electrical engineering from Qatar University. Mohammed is currently a research assistant at Qatar University working on heterogeneous multicore platforms for connected health applications. His research interests include biomedical signal processing and connected health implementations. Al Disi was a recipient of best poster presentation and oral presentation awards in Extracorporeal Life Support Organization South West Asia Conference (ESLO-SWAC) 2017 for the works titled Using Thermochromic Ink for Medical Simulation and Design and implementation of a modular ECMO simulator. Issam Boukhenoufa received a BEng degree in Control from the Institute of Electrical and Electronic Engineering, Boumerdes, Algeria, in 2013 and an MSc degree in Electronic systems majoring Sensors and Associated Systems from Montpelier University, France in 2015. He is currently a research assistant at Qatar University. Abbes Amira received the Ph.D. degree in the area of computer engineering from Queen's University, Belfast, U.K., in 2001. He took many academic and consultancy positions, including his recent positions as Associate Dean for Research and Innovation at De Montfort University, Leicester, U.K. He published more than 300 papers in top journals and conferences and secured significant funding from government and industry. His research interests include reconfigurable computing, signal and image processing, IoT, connected health and security. He is a Fellow IET, Fellow of HEA, Senior Member of IEEE and ACM. Faycal Bensaali (S'03-M'06-SM'15) obtained a Dipl-Ing (M.Eng.) in electronics from University of Constantine and a Ph.D. in Electronic and Computer Engineering from Queen's University, Belfast. He is currently an Associate Professor in Electrical Engineering at Qatar University. Dr. Bensaali took other academic positions at the University of Hertfordshire-UK and Queen's University Belfast-UK. His research interests are mainly in embedded systems and high performance computing, custom computing using FPGAs, image and vision systems and connected health. Dr. Bensaali serves as Guest Editor of IEEE IoT journal and General Chair, Workshop Chair and TPC Member of a number of international conferences and workshops. He has authored/co-authored over 100 scientific papers in international journals and conference proceedings. He is an HEA Associate and IEEE senior member. Christos Kotronis received his B.Sc. in Informatics & Telematics from Harokopio University in 2014 and M.Sc. in Web Engineering from the Department of Informatics and Telematics of Harokopio in 2016. He is currently a Ph.D. candidate at the same department, under the supervision of Professor Mara Nikolaidou. He gained a three-year 2017-2019 Engineering and Technology Sciences scholarship from the General Secretariat for Research and Technology (GSRT) and the Hellenic Foundation for Research and Innovation (HFRI) for conducting his doctoral research. This research, titled "Systems-of-Systems engineering: An integrated model-driven methodology for complex systems", proposes model-driven approaches, utilizing SysML as a modeling language to automatically generate performance and cost models. Case studies on transportation, e-health, and sensor networks, are explored, taking into account the dynamic behavior of such Systems-of-Systems (SoS) under real-time conditions. His current position is teaching assistant at the Dept. of Informatics & Telematics of Harokopio University of Athens 2016. Elena Politis holds a B.Sc. in Physics from the National and Kapodistrian University of Athens and a M.Sc in Informatics and Telematic Services with honors from Harokopio University. She is currently a Ph.D. candidate at the department of Informatics and Telematics at Harokopio University. Her dissertation is dedicated to the Internet of Underwater Things. She speaks fluent Greek and English and has a very good of the German language. Her research interests revolve around the Internet of Things, related applications and services and optimization algorithms for autonomous underwater vehicles. Mara Nikolaidou received the B.Sc. and Ph.D. degrees from the Department of Informatics, University of Athens, Athens, Greece. She is a Professor with the Department of Informatics and Telematics, Harokopio University of Athens, Kallithea, Greece, where she also currently serves as the Rector. Over the last years, she actively participated in numerous projects on system engineering, service-oriented architectures, digital libraries, and E-government. She is currently participating in research project focusing on systems-of-systems (SoS) engineering, Internet of Things, and smart cities. She has published over 100 papers in international journals and conferences. Her current research interests include SoS engineering, system modeling and simulation, service-oriented architectures, and BPM. George Dimitrakopoulos has received his bachelor degree in Electrical and Computer Engineering in 2002 and his Ph.D. in 2007, from the National Technical University of Athens, and the University of Piraeus, respectively. He is currently an assistant professor at the department of Informatics and Telematics of Harokopio University of Athens (HUA) (2010), as well as a coordinator of funded projects at Infineon Technologies A.G. (2018) and a senior consultant and project manager at Intrasoft International S.A. (2015). He is the author of about 120 publications in international journals and conferences, whereas he has been involved in more than 20 internationally funded RD projects. His research interests include the design and development of safety and emergency management algorithms for smart devices, as well as the design and development of strategies for the optimization of wireless networks based on cognitive networking principles.
SubjectAmbulatory ECG monitoring
Compressive sensing
Edge computing
Heterogeneous multicore solution
TitleReal-time ECG monitoring using compressive sensing on a heterogeneous multicore edge-device
Volume Number72

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