Title :
Study on ECG Data Lossless Compression Algorithm Based on K-means Cluster
Author_Institution :
Sch. of Inf. & Electron. Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
Abstract :
It is very significant to telemedicine storage and transmission that compress large-scale dynamic electrocardiogram lossless. Considering temporal and spatial redundancies of electrocardiogram (ECG) data, an automatic lossless compression algorithm which is based on k-means cluster was proposed. Our algorithm was evaluated by MIT-BIH arrhythmia database, and evaluation result shows the proposed algorithm has better compression performance.
Keywords :
biology computing; data compression; electrocardiography; pattern clustering; ECG data lossless compression algorithm; MIT-BIH arrhythmia database; k-means cluster; large-scale dynamic electrocardiogram lossless; telemedicine storage; Clustering algorithms; Compression algorithms; Data engineering; Databases; Electrocardiography; Encoding; Large-scale systems; Propagation losses; Shape; Telemedicine; K-means cluster; electrocardiogram; lossless compression;
Conference_Titel :
Future Computer and Communication, 2009. FCC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3676-7
DOI :
10.1109/FCC.2009.54
