Algorithm for compression of EMG signals

• Published in: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439) Vol. 2; pp. 1299 - 1302 Vol.2
• Main Authors: Berger, P.A., Nascimento, F.A.O., Carmo, J.C., Rocha, A.F., dos Santos, I.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2003
• Subjects: Data compression; Decoding; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Electromyography; Frequency; Signal processing; Wavelet analysis; Wavelet transforms
• ISBN: 0780377893; 9780780377899
• ISSN: 1094-687X; 1558-4615
• DOI: 10.1109/IEMBS.2003.1279508

This paper presents an algorithm for the compression of electromyography (EMG) signals. Its main application is in the efficient construction banks of EMG signals. The developed algorithm uses an orthogonal transform followed by a thresholding process for choosing significant coefficients. Many orthogonal transforms were studied and the Daubechies-4 wavelet transform has shown a better performance for data compression. The proposed algorithm was implemented, and the experimental results have shown that a compression gain greater than 10:1 can be achieved without perceptible errors in the decoded signal.