PUSAN NATIONAL UNIVERSITY INDUSTRY-UNIVERSITY COOPERATION FOUNDATION
发明人:
KWON, HYEOG SOONG,권혁숭,CHO, IK SUNG,조익성
申请号：
KR1020120158732
公开号：
KR1013661010000B1
申请日:
2012.12.31
申请国别(地区):
KR
年份:
2014
代理人:
摘要：
The present invention relates to a normal signal classification system for an individual ECG signal capable of classifying normal signals in a reliable manner by removing noise from the ECG signal using a morphological filter and detecting R-waves according to the changes in the adaptive variable threshold value and a window for health condition analysis and a method thereof. The system includes: a morphological filter which removes noise from an ECG signal inputted from an ECG input unit through morphological filtering； a noise suppression unit which raises the signal-to-noise ratio； an R-wave detection unit which detects R-waves according to the changes in the adaptive variable threshold value and a window； an individual circumstantial data processing unit which processes circumstantial data to analyze the health condition of a current user based on the user data； a profiling unit which classifies normal signals based on the bio signal outputted from the R-wave detection unit； and an analysis signal output unit which classifies and outputs ECG normal signals by individual after analyzing the signals based on the ECG signal analysis of the target patients. [Reference numerals] (AA) Hash=H1(y)； (BB) Hash=H2(y)； (CC) Set a 9-bit boundary plane； (DD) Extract a 40-bit character string； (EE) Step 1: Extract a hash value； (FF) QSR area； (GG) Time, amplitude, current RR interval within 150 ms； (HH) Comparison； (II) Generate an initial normal template； (JJ) Key； (KK) Address； (L) Input data； (LL) QSR area； (MM) Store the hash value； (NN) 25 addresses； (OO) Step 2: Match a pattern； (PP) Compare the key and the address； (QQ) Previous match address - H(y) -； (RR) Memory block； (SS) Classify normal signals； (W) QSR area본 발명은 건강 상태 분석을 위하여 ECG 신호로부터 형태 연산 필터를 통해 잡음을 제거하고 적응 가변형 문턱값과 윈도우 변화에 따라 R파를 검출하여 신뢰성 있는 정상 신호의 분류가 가능하도록 한 개인별 ECG 신호의 정상 신호 분류 시스템 및 방법에 관한 것으로, ECG 입력부로부터 입력되는 ECG 신호로부터 형태 연산 필터링을 통해 잡음을 제거하는 형태 연산 필터；신호대 잡음 비를 강조하는 잡음 억제부；적응 가변형 문턱값과 윈도우 변화에 따라 R파를 검출하는 R
