Joint Source-Channel Coding for Electrocardiogram (ECG) Compression on Wireless Body Area Networks
| Autor: | Chuang, Hsien-Jung, 莊憲榮 |
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| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 A wireless body area network (WBAN) for ECG compression is a promising approach for monitoring cardiac disease. Based on percentage root-mean-square difference (PRD) requirements, many ECG compression techniques have been introduced to achieve high compression ratio (CR) but may not be suitable in WBAN due to their higher encoding complexity. In this thesis, the joint source-channel coding scheme is proposed to not only adopt vector quantization and index assignment as the ECG compressor, but apply channel decoding technique to ensure robust ECG transmission. Note that the encoder parameters can be modified to obtain better reconstructing ECG signals at fixed CR. In addition, a new a priori knowledge initialization algorithm is presented to provide 1.5 times converge speed in contrast to original iterative source-channel decoding algorithm. After simulating with the MIT-BIH arrhythmia database, the results show that the proposed schemes with low encoding complexity has higher reconstruction quality than previous works. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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