A wireless ECG acquisition device for remote monitoring of heart rate and arrhythmia detection

Today, health information technology is the area of IT involving the design and development of telemedicine solutions, providing to patients medical services that enhance their quality of life. Technological advances in integrated circuits and wireless communications have led to the design and fabrication of low-cost, low-power, miniature, and intelligent physiological data acquisition devices. The paper describes the design and implementation of a portable device used to acquire and wirelessly transmit the electrocardiographic signal (ECG), collected from a patient, to a Personal Computer (PC). The developed device is based on the multichannel high-resolution medical analog front-end ADS1298, connected to a wireless development tool eZ430-RF2500, both from Texas Instruments. On the PC is running an application that receives the ECG data from wireless device, process the signal in order to compute the heart rate, and run a simple arrhythmia detector. A prototype of the wireless device has already been designed, implemented, and partially tested.

[1]  P. Hamilton,et al.  Open source ECG analysis , 2002, Computers in Cardiology.

[2]  Sameer Sonkusale,et al.  A low-power asynchronous ECG acquisition system in CMOS technology , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[3]  Tansheng Li A wireless sensor network of human physiological signals , 2010 .

[4]  Zeli Gao,et al.  Design of ECG Signal Acquisition and Processing System , 2012, 2012 International Conference on Biomedical Engineering and Biotechnology.

[5]  Bernadette A. Thomas,et al.  Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 , 2015, The Lancet.

[6]  Weiwei Zhang,et al.  ECG acquisition circuit design based on C8051F330 , 2012, International Conference on Biomedical and Health Informatics.

[7]  Yun Chen,et al.  Notice of RetractionResearch on interference analysis and hardware treatment measures of ECG acquisition , 2010, The 2nd International Conference on Information Science and Engineering.

[8]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.