Filtering the surface EMG signal: Movement artifact and baseline noise contamination

References 

1. Adam A, De Luca CJ. Firing rates of motor units in human vastus lateralis muscle during fatiguing isometric contractions. Journal of Applied Physiology. 2005;99:268–280
2. Basmajian JV, De Luca CJ. Muscles Alive. 5th edition. Baltimore: Williams and Wilkins; 1985;
3. Beck TW, Housh TJ, Cramer JT, Malek MH, Mielke M, Hendrix R, et al. Electrode shift and normalization reduce the innervation zone’s influence on EMG. Medicine and Science in Sports and Exercise. 2008;40:1314–1322
   • CrossRef
4. De Luca CJ. The use of surface electromyography in biomechanics. Journal of Applied Biomechanics. 1997;13:135–163
5. Gamet D, Duchene J, Garapon-Bar C, Goubel F. Surface electromyogram power spectrum in human quadriceps muscle during incremental exercise. Journal of Applied Physiology. 1993;74(6):2704–2710
6. Huigen E, Peper A, Grimbergen CA. Investigation into the origin of the noise of surface electrodes. Medical and Biological Engineering and Computing. 2002;40:332–338
7. LeFever R.S. and De Luca C.J., 1976. The contribution of individual motor units to the EMG power spectrum. In: Proceedings of 29th Annual Conference on Engineering in Medicine and Biology, Boston, p. 56.
8. Lindstrom LR, Magnusson R, Petersen I. Muscular fatigue and action potential conduction velocity changes studied with frequency analysis of EMG signals. Electromyography. 1970;4:3341–3353
9. Merletti R. Standards for reporting EMG data. Journal of Electromyography and Kinesiology. 1999;9:1
10. Pullman SL, Goodin DS, Marquinez AI, Tabbal S, Rubin M. Clinical utility of surface EMG: report of the therapeutics and technology assessment subcommittee of the American Academy of Neurology. Neurology. 2000;55(2):171–177
    • MEDLINE
    • CrossRef
11. Roy SH, DeLuca CJ, Casavant DA. Lumbar muscle fatigue and chronic lower back pain. Spine. 1989;14:992–1001
    • MEDLINE
    • CrossRef
12. Roy SH, De Luca G, Cheng S, Johansson A, Gilmore LD, De Luca CJ. Electro-mechanical stability of surface EMG sensors. Medical and Biological Engineering and Computing. 2007;45:447–457
13. Saitou K, Masuda T, Michipkami D, Kojima R, Okada M. Innervation zones of the upper and lower limb muscles estimated by using multi-channel surface EMG. Journal of Human Ergology. 2000;29:35–52
    • MEDLINE
14. Stegeman D.F. and Hermens H.J., 1998. Standards for surface electromyography: the European project (SENIAM). In: Hermens H.J., Rau G., Disselhorst-Klug C., Freriks B. (Eds.), Surface Electromyography Application Areas and Parameters. Proceedings of the Third General SENIAM Workshop on surface electromyography, Aachen, Germany, pp. 108–112.
15. van Boxtel A, Boelhouwer AJW, Bos AR. Optimal EMG signal bandwidth and interelectrode distance for the recording of acoustic, electrocutaneous, and photic blink reflexes. Psychophysiology. 1998;35:690–697
    • MEDLINE
    • CrossRef
16. van Boxtel A. Optimal signal bandwidth for the recording of surface EMG activity of facial, jaw, oral, and neck muscles. Psychophysiology. 2001;38:23–34
17. Winter D.A., Rau G., Kadefors R., Broman H., and De Luca C.J., 1980. Units, terms and standards in the reporting of EMG research. A Report of the ad hoc Committee of the International Society of Electrophysiological Kinesiology.