References

  1.  Electromyography: MedlinePlus Medical Encyclopedia [Internet]. [cited 2022 Nov 27]. Available from: https://medlineplus.gov/ency/article/003929.htm
  2.  Chernecky CC, Berger BJ. Laboratory Tests and Diagnostic Procedures. Elsevier Health Sciences; 2012. 1235 p.
  3.  Silver J. Chapter 1 – What is an EMG? In: Weiss L, Silver J, Weiss J, editors. Easy EMG [Internet]. Edinburgh: Butterworth-Heinemann; 2004 [cited 2022 Nov 28]. p. 1–4. Available from: https://www.sciencedirect.com/science/article/pii/B9780750674317500063
  4.  Fournier E, Tabti N. Chapter 16 – Clinical electrophysiology of muscle diseases and episodic muscle disorders. In: Levin KH, Chauvel P, editors. Handbook of Clinical Neurology [Internet]. Elsevier; 2019 [cited 2022 Nov 28]. p. 269–80. (Clinical Neurophysiology: Diseases and Disorders; vol. 161). Available from: https://www.sciencedirect.com/science/article/pii/B9780444641427000539
  5.  Rubin DI. Chapter 16 – Needle electromyography: Basic concepts. In: Levin KH, Chauvel P, editors. Handbook of Clinical Neurology [Internet]. Elsevier; 2019 [cited 2022 Nov 28]. p. 243–56. (Clinical Neurophysiology: Basis and Technical Aspects; vol. 160). Available from: https://www.sciencedirect.com/science/article/pii/B9780444640321000163
  6. ↑ Jump up to:6.0 6.1 Felici F, Del Vecchio A. Surface Electromyography: What Limits Its Use in Exercise and Sport Physiology? Frontiers in Neurology [Internet]. 2020 [cited 2022 Nov 28];11. Available from: https://www.frontiersin.org/articles/10.3389/fneur.2020.578504
  7.  Patcharatrakul T, Pitisuttithum P, Rao SSC, Gonlachanvit S. Chapter 37 – Biofeedback therapy. In: Rao SSC, Lee YY, Ghoshal UC, editors. Clinical and Basic Neurogastroenterology and Motility [Internet]. Academic Press; 2020 [cited 2022 Nov 28]. p. 517–32. Available from: https://www.sciencedirect.com/science/article/pii/B9780128130377000376
  8.  Xie YJ, Wang S, Gong QJ, Wang JX, Sun FH, Miyamoto A, et al. Effects of electromyography biofeedback for patients after knee surgery: A systematic review and meta-analysis. J Biomech. 2021 May 7;120:110386.
  9.  Dos Reis IMM, Ohara DG, Januário LB, Basso-Vanelli RP, Oliveira AB, Jamami M. Surface electromyography in inspiratory muscles in adults and elderly individuals: A systematic review. J Electromyogr Kinesiol. 2019 Feb;44:139–55.
  10.  Brambilla C, Pirovano I, Mira RM, Rizzo G, Scano A, Mastropietro A. Combined Use of EMG and EEG Techniques for Neuromotor Assessment in Rehabilitative Applications: A Systematic Review. Sensors (Basel). 2021 Oct 22;21(21):7014.
  11.  Jarque-Bou NJ, Sancho-Bru JL, Vergara M. A Systematic Review of EMG Applications for the Characterization of Forearm and Hand Muscle Activity during Activities of Daily Living: Results, Challenges, and Open Issues. Sensors (Basel). 2021 Apr 26;21(9):3035.
  12.  Nandy A, Chakraborty S, Chakraborty J, Venture G. 8 – A low-cost electromyography (EMG) sensor-based gait activity analysis. In: Nandy A, Chakraborty S, Chakraborty J, Venture G, editors. Modern Methods for Affordable Clinical Gait Analysis [Internet]. Academic Press; 2021 [cited 2022 Nov 28]. p. 101–27. Available from: https://www.sciencedirect.com/science/article/pii/B9780323852456000102
  13.  Kaur A. Wheelchair control for disabled patients using EMG/EOG based human machine interface: a review. J Med Eng Technol. 2021 Jan;45(1):61–74.
  14.  Clark RA, Thilarajah S, Williams G, Kahn M, Heywood S, Tan HH, et al. Chapter 1 – Kits for wearable sensor systems: exploring software and hardware system design, building guides, and opportunities for clinical rehabilitation. In: Godfrey A, Stuart S, editors. Digital Health [Internet]. Academic Press; 2021 [cited 2022 Nov 28]. p. 1–25. Available from: https://www.sciencedirect.com/science/article/pii/B9780128189146000107