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Preprocessing Techniques and Area Estimation of ECG from a Wireless ECG Patch
Author(s) -
G. Sai Phani Kumar,
V. V. Sajith Variyar,
K P Soman
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1362/1/012107
Subject(s) - preprocessor , computer science , wireless , wearable computer , key (lock) , electronics , quality (philosophy) , wearable technology , signal processing , artificial intelligence , electronic engineering , telecommunications , real time computing , electrical engineering , engineering , computer hardware , embedded system , computer security , digital signal processing , philosophy , epistemology
In electrocardiograms (ECGs), most of the clinically helpful information is found within the wave intervals, amplitudes, or morphology. This is principally motivated by increasing aid prices and propelled by recent technological advances in miniature bio sensing devices, electronics, and wireless communications. This paper tries to comprehensively review and experiment economical and strong strategies for machine driven ECG pre-processing and delineation for ECG information from a wearable device named WiPoint Patch HP111x developed by HMicro, Inc. ECG signal quality is the key factor in determining the diseases of the heart. The proposed methods delineate the P and T waves and helps to get the area of the wave. This information can be further used to identify the specific cardiac problems.

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