Open AccessFeature Extraction of ECG signal using Meyer Wavelet Transform
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j1032.08810s19
Subject(s) - feature extraction , wavelet transform , wavelet packet decomposition , wavelet , raw data , computer science , feature (linguistics) , pattern recognition (psychology) , network packet , artificial intelligence , signal (programming language) , data extraction , fault (geology) , computer security , medline , linguistics , philosophy , seismology , political science , law , programming language , geology
Humans suffered with heart related issues in this century due to the poor and improper regular routines which causes a major damage to their entire life. This paper deals with cardiovascular arrhythmias prevention and control by the usage of Electrocardiogram. Cloud storage is utilized for storing the voluminous data of Electrocardiogram details of patients. The collected raw data is pre-processed using the Meyer wavelet transform. It is a kind of a continuous wavelet, which is applied in several cases especially in adaptive filters multi-fault classification. The features extracted are amplitude, age, sex,RR speed and Medicine.These are considered as the information of each data packets that are stored in cloud and later it is transmitted to healthcare centres and physicians for diagnosis and appropriate treatment