S-EMG signal compression based on domain transformation and spectral shape dynamic bit allocation

Author:

Trabuco Marcel Henrique,Costa Marcus Vinícius Chaffim,de Oliveira Nascimento Francisco Assis

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,General Medicine,Biomaterials,Radiological and Ultrasound Technology

Reference27 articles.

1. Carotti ESG, De Martin JC, Farina D, Merletti R: Linear predictive coding of myoelectric signals. In Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing: 18–23 March 2005. Vol 5. Philadelphia; 2005:629–632.

2. Guerrero AP, Mailhes C: On the choice of an electromyogram data compression method. In Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: 30 October - 2 November 1997. Vol. 6. Chicago; 1997:1558–1561.

3. Berger PA, Nascimento FAO, Carmo JC, Rocha AF, Dos Santos I: Algorithm for compression of EMG signals. In Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine Biology Society: 17–21 September 2003. Vol. 2. Cancun; 2003:1299–1302.

4. Carotti ESG, De Martin JC, Merletti R, Farina D: Compression of surface EMG signals with algebraic code excited linear prediction. Med Eng Phys 2007,29(2):253–258. 10.1016/j.medengphy.2006.03.004

5. Norris JF, Lovely DF: Real-time compression of myoelectric data utilizing adaptive differential pulse code modulation. Med Biol Eng Comput 1995,33(5):629–635. 10.1007/BF02510779

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