An intelligent telecardiology system using a wearable and wireless ecg to detect atrial fibrillation

Chin Teng Lin*, Kuan Cheng Chang, Chun Ling Lin, Chia Cheng Chiang, Shao Wei Lu, Shih Sheng Chang, Bor-Shyh Lin, Hsin Yueh Liang, Ray Jade Chen, Yuan Teh Lee, Li-Wei Ko

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

115 Scopus citations

Abstract

This study presents a novel wireless, ambulatory, real-time, and autoalarm intelligent telecardiology system to improve healthcare for cardiovascular disease, which is one of the most prevalent and costly health problems in the world. This system consists of a lightweight and power-saving wireless ECG device equipped with a built-in automatic warning expert system. This device is connected to a mobile and ubiquitous real-time display platform. The acquired ECG signals are instantaneously transmitted to mobile devices, such as netbooks or mobile phones through Bluetooth, and then, processed by the expert system. An alert signal is sent to the remote database server, which can be accessed by an Internet browser, once an abnormal ECG is detected. The current version of the expert system can identify five types of abnormal cardiac rhythms in real-time, including sinus tachycardia, sinus bradycardia, wide QRS complex, atrial fibrillation (AF), and cardiac asystole, which is very important for both the subjects who are being monitored and the healthcare personnel tracking cardiac-rhythm disorders. The proposed system also activates an emergency medical alarm system when problems occur. Clinical testing reveals that the proposed system is approximately 94% accurate, with high sensitivity, specificity, and positive prediction rates for ten normal subjects and 20 AF patients. We believe that in the future a business-card-like ECG device, accompanied with a mobile phone, can make universal cardiac protection service possible.

Original languageEnglish
Article number5443463
Pages (from-to)726-733
Number of pages8
JournalIEEE Transactions on Information Technology in Biomedicine
Volume14
Issue number3
DOIs
StatePublished - 1 May 2010

Keywords

  • Atrial fibrillation (AF)
  • ECG
  • Expert systems
  • Mobile
  • Wireless

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