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Analysis of Electromagnetic Interference on ECG Waveform Due to Electronic Components and Circuits


Affiliations
1 Sathyabama University, India
2 C.S.I. Institute of Technology, Thovalai, India
     

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Electromagnetic interference (EMI) over medical devices has been widely established, yet its clinical consequences remain controversial. Some groups have recommended the outright ban of the in-hospital use of cellular phones to avoid any possible malfunction of medical devices. Other groups, recognizing the difficulty of enforcing such bans in addition to the close proximity needed between devices to produce EMI, suggest that cellular phone use be limited to non-critical care areas of a hospital. The proposed system highly removes the EMI signal from the EMI affected ECG waveform. For the environment setup, the electromagnetic interference signal is generated from MATLAB and is applied with the perfect model of ECG wave form. The result of the proposed EMI removal system had good quality of the ECG waveform. The waveforms RR, PQ, PP, QRS, ST and QT levels were verified with original waveform. Clinical assessment of the ECG mostly relies on relatively simple measurements of the intrabeat timings and amplitudes and hence the proposed system will help to save the patient life by undeviating of Doctors decision with analysis of EMI removed ECG waveform.

Keywords

ECG, Noise Removal, Filters, MATLAB, EMI.
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  • Analysis of Electromagnetic Interference on ECG Waveform Due to Electronic Components and Circuits

Abstract Views: 192  |  PDF Views: 2

Authors

A. D. Jeyarani
Sathyabama University, India
T. Jaya Singh
C.S.I. Institute of Technology, Thovalai, India

Abstract


Electromagnetic interference (EMI) over medical devices has been widely established, yet its clinical consequences remain controversial. Some groups have recommended the outright ban of the in-hospital use of cellular phones to avoid any possible malfunction of medical devices. Other groups, recognizing the difficulty of enforcing such bans in addition to the close proximity needed between devices to produce EMI, suggest that cellular phone use be limited to non-critical care areas of a hospital. The proposed system highly removes the EMI signal from the EMI affected ECG waveform. For the environment setup, the electromagnetic interference signal is generated from MATLAB and is applied with the perfect model of ECG wave form. The result of the proposed EMI removal system had good quality of the ECG waveform. The waveforms RR, PQ, PP, QRS, ST and QT levels were verified with original waveform. Clinical assessment of the ECG mostly relies on relatively simple measurements of the intrabeat timings and amplitudes and hence the proposed system will help to save the patient life by undeviating of Doctors decision with analysis of EMI removed ECG waveform.

Keywords


ECG, Noise Removal, Filters, MATLAB, EMI.