A METHOD TO DETECT MYOCARDIAL ISCHEMIA USING COMPARISON ANALYSIS OF HEART RATE VARIABILITY TIME AND FREQUENCY DOMAIN FEATURES

PURPOSE: A method for detecting myocardial ischemia is provided to improve the overall sensing accuracy of myocardial ischemia. CONSTITUTION: A weighting fuzzy membership function based neural network is learned using data set for the neural learning(S100). A grouping model of a time domain and a gr...

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Bibliographic Details
Main Authors LIM, JOON SHIK, TIAN XUEWEI, ZHANG ZHENXING
Format Patent
LanguageEnglish
Korean
Published 30.01.2013
Subjects
CALCULATING
COMPUTING
COUNTING
DIAGNOSIS
ELECTRIC DIGITAL DATA PROCESSING
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Summary:PURPOSE: A method for detecting myocardial ischemia is provided to improve the overall sensing accuracy of myocardial ischemia. CONSTITUTION: A weighting fuzzy membership function based neural network is learned using data set for the neural learning(S100). A grouping model of a time domain and a grouping model of a frequency domain are constructed based on the learned weighting fuzzy membership function based neural network(S200). The myocardial ischemia data of a patient is detected by applying patient's date to the constructed grouping model of a time domain and a grouping model of a frequency domain(S300). [Reference numerals] (S100) Learning a weighting fuzzy membership function based neural network; (S200) Constructing the grouping model of a time domain and the grouping model of a frequency domain; (S300) Detecting the myocardial ischemia data of a patient
Bibliography:Application Number: KR20110072806