Hyderabad: Indian Institute of Technology Hyderabad (IIT-H) researchers have developed a low-power device that can monitor electrocardiogram (ECG) and alert patients and doctors in real-time about the risk of cardiovascular diseases (CVD).
CVD tops the list of public health concern compared to other diseases and has almost become the primary cause of human deaths, as per a survey of the World Health Organization (WHO). The main causes include changings trend in lifestyle, unhealthy eating habits, tobacco usage, low fruit and vegetable intake and lack of physical activity and lot of stress.
These factors necessitate developing a personalized CVD monitoring device powered by battery backup and with a very low form factor to achieve unobtrusiveness that works under the emerging cyber-physical system setup.
This area was researched by a team comprising Vemishetty Naresh. Ph.D. Research Scholar, Advanced Embedded Systems and IC Design Laboratory, Department of Electrical Engineering, IIT Hyderabad and Dr. Amit Acharyya, Associate Professor, Department of Electrical Engineering, IIT Hyderabad.
As a proof of concept demonstration, the researchers have taken healthy and various unhealthy cases from the Physionet database to validate the proposed method. Their research has been published recently in the peer-reviewed international journal Scientific Reports, an online open access, scientific journal published by prestigious Nature Research.
Speaking about the importance of this Research, Dr. Amit Acharyya, Associate Professor, Department of Electrical Engineering, IIT Hyderabad, said, “CVD is one of the deadliest disease and irrespective of the economy of the country people are getting affected by it. It is manifested in different forms necessitating the early diagnosis, therapy and prognosis. Hence the proposed work on the classification is going to be of immense help for the society.”
In addition, they also worked on developing different classification techniques and integrating them to make a generic algorithm. A novel System-On-Chip (SoC) architecture is developed in a low complex way by resource sharing concept for the CVD automation. Thus the whole system can cover various ECG abnormalities and finally come up with the prototype board which looks similar to as a smartphone at the patient end.
This work was partly supported by Department of Science and Technology (DST), Government of India under the ‘Internet of Things (IoT) Research of Interdisciplinary Cyber Physical Systems (ICPS) Programme,’with the Project entitled ‘IOT Based Holistic Prevention and Prediction of CVD (i-PREACT).’
The research has been published as Vemishetty, N., Gunukula, G., Acharyya, A., Emilio, P., Das, Saptarshi., Maharatna, K., “Phase Space Reconstruction Based CVD Classifier Using Localized Features”, Scientific Reports, A Nature Research Journal, August 2019.
It can be accessed on : https://doi.org/10.1038/s41598-019-51061-8