Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/3152
Title: Evaluation of wavelet filters based on EZW for ECG compression
Authors: Qian, Yan
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Issue Date: 2004
Abstract: The electrocardiogram (ECG) is a graphic record of the electrical activity of the heart. It is the primary tool in the diagnosis of cardiac conditions. Modem telemedicine systems require the storage and transmission of large quantities of ECG data. Efficient data compression is needed in order to reduce the quantities of data to be transmitted. Many ECG compression algorithms exist and an overview of the compression techniques is provided. The wavelet transform based algorithms have become the most active field of ECG compression in recent years. Since the wavelet transform plays a key role in the compression algorithm, the wavelet selection needs to be considered carefully.
URI: http://hdl.handle.net/10356/3152
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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