Developing smart tele-ECG system for early detection and monitoring heart diseases based on ecg signal: Progress and challenges

Wisnu Jatmiko; M. Anwar Ma'sum; Hanif Arief Wisesa; Hadaiq Rolis Sanabila

doi:10.21307/IJSSIS-2019-009

Developing smart tele-ECG system for early detection and monitoring heart diseases based on ecg signal: Progress and challenges

Wisnu Jatmiko, M. Anwar Ma'sum, Hanif Arief Wisesa, Hadaiq Rolis Sanabila

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

Technology is developed to benefit society. One of the applications of technology in the healthcare sector is telehealth monitoring system. The system proposes a new way of communication between the doctor and the patient, even in a very remote location. In this paper, we elaborate the progress and challenges regarding the development of Tele-ECG in Indonesia, which includes data acquisition, feature extraction, data compression, classification algorithm, mobile and web development system and small device implementation on an FPGA board. The classification is conducted by using LVQ, GLVQ, FNLVQ, FNLVQ-PSO, FNGLVQ, and AM-GLVQ. The compression is conducted by using SPIHT algorithm. Tele-ECG can assist in monitoring heartbeat anomalies and reduce the risk of heart attack. It could also be a solution for infrastructure discrepancy in healthcare.

Original language	English
Pages (from-to)	1-28
Number of pages	28
Journal	International Journal on Smart Sensing and Intelligent Systems
Volume	12
Issue number	1
DOIs	https://doi.org/10.21307/IJSSIS-2019-009
Publication status	Published - 1 Apr 2019

Keywords

AM-GLVQ
ECG
FNGLVQ
FNLVQ
FNLVQ-PSO
FPGA
GLVQ
LVQ
SPIHT
Telehealth

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title = "Developing smart tele-ECG system for early detection and monitoring heart diseases based on ecg signal: Progress and challenges",

abstract = "Technology is developed to benefit society. One of the applications of technology in the healthcare sector is telehealth monitoring system. The system proposes a new way of communication between the doctor and the patient, even in a very remote location. In this paper, we elaborate the progress and challenges regarding the development of Tele-ECG in Indonesia, which includes data acquisition, feature extraction, data compression, classification algorithm, mobile and web development system and small device implementation on an FPGA board. The classification is conducted by using LVQ, GLVQ, FNLVQ, FNLVQ-PSO, FNGLVQ, and AM-GLVQ. The compression is conducted by using SPIHT algorithm. Tele-ECG can assist in monitoring heartbeat anomalies and reduce the risk of heart attack. It could also be a solution for infrastructure discrepancy in healthcare.",

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note = "Funding Information: This study is supported by Insentif Riset Sistem Inovasi Nasiona (INSINAS) Research Grant No. 5459/ UN2.R3.1/HKP05.00/2018, entitled {\textquoteleft}Pengembangan Sistem Telehealth Cerdas Terintegrasi Berbasiskan Perangkat Portable dan Big Data Platform untuk Meningkatkan Pelayanan Kesehatan di Indonesia{\textquoteright} from Ministry of Research and Higher Education, Republic of Indonesia. Publisher Copyright: {\textcopyright} 2019 Authors.",

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Developing smart tele-ECG system for early detection and monitoring heart diseases based on ecg signal: Progress and challenges

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Keywords

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