Literature DB >> 20371411

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

Chin-Teng Lin1, 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.   

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.

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Mesh:

Year:  2010        PMID: 20371411     DOI: 10.1109/TITB.2010.2047401

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  22 in total

1.  Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches.

Authors:  Md Faisal Kabir; Daniel Schulman; Abu S Abdullah
Journal:  J Med Syst       Date:  2019-06-12       Impact factor: 4.460

2.  An awareness approach to analyze ECG streaming data.

Authors:  S Don; Duckwon Chung; Eunmi Choi; Dugki Min
Journal:  J Med Syst       Date:  2013-01-23       Impact factor: 4.460

Review 3.  Smart health monitoring systems: an overview of design and modeling.

Authors:  Mirza Mansoor Baig; Hamid Gholamhosseini
Journal:  J Med Syst       Date:  2013-01-15       Impact factor: 4.460

Review 4.  A comprehensive survey of wearable and wireless ECG monitoring systems for older adults.

Authors:  Mirza Mansoor Baig; Hamid Gholamhosseini; Martin J Connolly
Journal:  Med Biol Eng Comput       Date:  2013-01-19       Impact factor: 2.602

5.  Development of Novel Non-Contact Electrodes for Mobile Electrocardiogram Monitoring System.

Authors:  Bor-Shyh Lin; Willy Chou; Hsing-Yu Wang; Yan-Jun Huang; Jeng-Shyang Pan
Journal:  IEEE J Transl Eng Health Med       Date:  2013-06-04       Impact factor: 3.316

6.  A novel method for real-time atrial fibrillation detection in electrocardiograms using multiple parameters.

Authors:  Xiaochuan Du; Nini Rao; Mengyao Qian; Dingyu Liu; Jie Li; Wei Feng; Lixue Yin; Xu Chen
Journal:  Ann Noninvasive Electrocardiol       Date:  2013-11-20       Impact factor: 1.468

7.  Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis.

Authors:  Lucía Ramos; Jorge Novo; Noelia Barreira; José Rouco; Manuel G Penedo; Marcos Ortega
Journal:  J Vis Exp       Date:  2018-09-26       Impact factor: 1.355

8.  Community-Based ECG Monitoring System for Patients with Cardiovascular Diseases.

Authors:  Bor-Shyh Lin; Alice M Wong; Kevin C Tseng
Journal:  J Med Syst       Date:  2016-01-22       Impact factor: 4.460

Review 9.  Monitoring and Follow-up of Chronic Heart Failure: a Literature Review of eHealth Applications and Systems.

Authors:  Isabel de la Torre Díez; Begoña Garcia-Zapirain; Amaia Méndez-Zorrilla; Miguel López-Coronado
Journal:  J Med Syst       Date:  2016-06-11       Impact factor: 4.460

10.  Remote health monitoring system for detecting cardiac disorders.

Authors:  Ayush Bansal; Sunil Kumar; Anurag Bajpai; Vijay N Tiwari; Mithun Nayak; Shankar Venkatesan; Rangavittal Narayanan
Journal:  IET Syst Biol       Date:  2015-12       Impact factor: 1.615

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