Work place: Dept. of Electrical and Electronic Engineering, Independent University, Bangladesh, Dhaka, Bangladesh
E-mail: moint90@gmail.com
Website:
Research Interests: Neural Networks, Artificial Intelligence, Computer systems and computational processes
Biography
Md. Moin Hossain received B.Sc. degree in Electronic and Telecommunication Engineering (ETE) from Independent University Bangladesh (IUB),in 2017.His research interest includes ECG monitoring in android apps and artificial neural network.
By Sayed Tanvir Alam Md. Moin Hossain Mohammad Dehan Rahman Md. Kafiul Islam
DOI: https://doi.org/10.5815/ijigsp.2018.05.03, Pub. Date: 8 May 2018
An electrocardiogram (ECG) machine is a device that checks the patient’s heart rhythm and electrical activity. This is done by attaching sensors on the skin of the patients. But the problem with these machines is that, these are expensive and not portable. Thus it is difficult to use these machines in the rural or remote areas of developing countries like Bangladesh where the issue of portability and cost arises. In this paper, the problem of cost and portability is addressed. We propose a complete solution for a low-cost portable ECG monitoring from recording to report generation for patients including real-time ECG traces on screen with storage options and calculation of all necessary diagnostics parameters for helping the doctors to make decision. This type of ECG machines could be used in hospitals, homes, villages or even in a disaster area. The system designed in this paper includes a PC/Laptop, as these devices are now widely available, at least available at hospitals and health care centers, even in rural/remote areas of Bangladesh. With this, a significant difference can be made against heart diseases.
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