@inproceedings{scholars35,
         address = {Chiang Mai},
           title = {A wavelet footprints-based compression scheme for {\`E}{\copyright}cg signals},
         journal = {IEEE Region 10 Annual International Conference, Proceedings/TENCON},
           pages = {A283--A286},
          volume = {A},
            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},
            year = {2004},
          author = {Wei, H. T. and Jeoti, V.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-27944439346&partnerID=40&md5=7e736c346e5e34b1c73ef23d1ec426ad},
        keywords = {Electrocardiography; Image coding; Signal processing; Wavelet transforms, Huffman coding; Linear quantization; Wavelet footprint representation, Image compression},
        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\%. {\^A}{\copyright} 2004IEEE.}
}