Compression of multichannel ECG through multichannel long-term prediction

作     者：Cohen, A Zigel, Y 

作者机构：Ben Gurion Univ Negev Dept Elect & Comp Engn IL-84105 Beer Sheva Israel 

出 版 物：《IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE》 (IEEE Eng. Med. Biol. Mag.)

年 卷 期：1998年第17卷第1期

页      面：109-115页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1001[医学-基础医学(可授医学、理学学位)] 10[医学] 

基　　金：Yaniv Zigel was born in Tel-Aviv  Israel  in 1970. He received the B.Sc. degree in electri- cal and computer engi- neering from the Ben-Gurion University  Beer-Sheva  Israel  in 1992. From 1992 to 1995 he was a technical officer at the communication and computer corps in the army. Since 1995 he has been a Graduate Teaching and Research Assistant in the Department of Electrical and Computer Engineering  Ben-Gurion University  while studying for the M.Sc. degree 

主　　题：Long-Term Potentiation electrochemical grinding algorithms codebook compression Beat generation Long term testing efficient codes 

摘      要：The need for efficient coding of ECG signals is continually increasing with modern use of long-term monitoring and telemedicine. Here, the authors present an algorithm based on long-term prediction (LTP) compression. The single-channel LTP algorithm has been generalized to the multichannel case and is called the MC-LTP algorithm. This algorithm compresses PQRST beats using a pattern codebook with \typical\ beats.