title: Wavelet compression of multichannel ECG data by enhanced set partitioning in hierarchical trees algorithm.
abstract: The set partitioning in hierarchical trees (SPIHT) algorithm is very effective and computationally simple technique for image and signal compression. Here the author modified the algorithm which provides even better performance than the SPIHT algorithm. The enhanced set partitioning in hierarchical trees (ESPIHT) algorithm has performance faster than the SPIHT algorithm. In addition, the proposed algorithm reduces the number of bits in a bit stream which is stored or transmitted. I applied it to compression of multichannel ECG data. Also, I presented a specific procedure based on the modified algorithm for more efficient compression of multichannel ECG data. This method employed on selected records from the MIT-BIH arrhythmia database. According to experiments, the proposed method attained the significant results regarding compression of multichannel ECG data. Furthermore, in order to compress one signal which is stored for a long time, the proposed multichannel compression method can be utilized efficiently.
authors.affiliation: Department of Biomedical Engineering, Shahed University, Tehran, Iran. esahmadian@netscape.net
authors.forename: Ershad
authors.initials: E
authors.lastname: Sharifahmadian
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis; D003198:Computer Simulation; D044962:Data Compression; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted; D004562:Electrocardiography / Q000295:instrumentation*; D004867:Equipment Design; D006801:Humans; D015233:Models, Statistical; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D012984:Software