Depression Analysis using ECG Signal
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 11, Issue 7
Abstract
ECG is a bio-medical signal which records the electrical activity of the heart versus time. They are important for diagnostic and research purposes of the human heart. In this paper we discuss a method of feature extraction which is an inevitable step in most approaches in diagnosing abnormalities in the heart. A web application is developed which extracts features of ECG signal like ST segment, QRS wave, etc. and use these features for identifying whether a person suffers from any of the four levels of stress, that is, Hyper Acute stress (Myocardial Infarction), Acute stress (Type A), Hyper Chronic stress (Ischemia) or Chronic Stress (Type B). The application is built using a decision support system formed by extensive learning of behavior of the signals of various persons.Â
Authors and Affiliations
Prof. Shamla Mantri, Dr. Pankaj Agrawal, Prof. Dipti Patil, Dr. V. M. Wadhai
Keywords
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- EP ID EP650335
- DOI 10.24297/ijct.v11i7.3470
- Views 89
- Downloads 0
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