eprintid: 35 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/00/35 datestamp: 2023-11-09 15:10:36 lastmod: 2023-11-09 15:10:36 status_changed: 2023-11-09 15:09:39 type: conference_item metadata_visibility: show creators_name: Wei, H.T. creators_name: Jeoti, V. title: A wavelet footprints-based compression scheme for ȩcg signals ispublished: pub keywords: Electrocardiography; Image coding; Signal processing; Wavelet transforms, Huffman coding; Linear quantization; Wavelet footprint representation, Image compression note: cited By 4; Conference of IEEE TENCON 2004 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering ; Conference Date: 21 November 2004 Through 24 November 2004; Conference Code:66073 abstract: Herein, an ECG compression scheme is proposed, which is based on the Wavelet Footprint representation of ECG signals 5 in combination with some signal preprocessing, linear quantization and Huffman Coding. Experiments conducted on selected records of the MIT-BIH Arrythmia Database indicate that compression ratios of about 10X are achievable with average PRD of 0.8450%. © 2004IEEE. date: 2004 official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-27944439346&partnerID=40&md5=7e736c346e5e34b1c73ef23d1ec426ad full_text_status: none publication: IEEE Region 10 Annual International Conference, Proceedings/TENCON volume: A place_of_pub: Chiang Mai pagerange: A283-A286 refereed: TRUE citation: Wei, H.T. and Jeoti, V. (2004) A wavelet footprints-based compression scheme for ȩcg signals. In: UNSPECIFIED.