Literature DB >> 19382861

Lifelink: 3G-based mobile telemedicine system.

Christian Alis1, Carlos del Rosario, Bernardino Buenaobra, Carlo Mar Blanca.   

Abstract

Current wired telemedicine systems encounter difficulties when implemented in archipelagic developing countries because of the high cost of fixed infrastructure. In this research, we devised Lifelink, a mobile real-time telemonitoring and diagnostic facility to command and control remote medical devices through mobile phones. The whole process is phone-based, effectively freeing offsite medical specialists from stationary monitoring consoles and endowing the system with the potential to increase the number participating consultants. The electrocardiogram (ECG) readings are analyzed using a detrended fluctuation technique and classified into pathological cases using an unassisted K-means clustering algorithm. We analyzed 30 batches of 2-hour ECG signals taken from cardiac patients (20 males, 10 females, mean age 46.7 years) with pre-diagnosed pathologies. The method successfully categorized the 30 subjects without user intervention into the following cases: normal (at 86.7% accuracy), congestive heart failure (86.7%), and atrial fibrillation (80.0%). The synergy of mobile monitoring and fluctuation analysis presents a powerful platform to reach remote, underserved communities with poor or nonexistent wired communication structures. It is likely to be essential in the development of new mobile diagnostic and prognostic measures.

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Year:  2009        PMID: 19382861     DOI: 10.1089/tmj.2008.0098

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  2 in total

1.  A Classification System to Detect Congestive Heart Failure Using Second-Order Difference Plot of RR Intervals.

Authors:  R A Thuraisingham
Journal:  Cardiol Res Pract       Date:  2010-03-21       Impact factor: 1.866

2.  Twelve-Lead Electrocardiogram Acquisition With a Patchy-Type Wireless Device in Ambulance Transport: Simulation-Based Randomized Controlled Trial.

Authors:  Sunyoung Yoon; Taerim Kim; Taehwan Roh; Hansol Chang; Sung Yeon Hwang; Hee Yoon; Tae Gun Shin; Min Seob Sim; Ik Joon Jo; Won Chul Cha
Journal:  JMIR Mhealth Uhealth       Date:  2021-04-01       Impact factor: 4.773

  2 in total

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