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An electrooptical muscle contraction sensor

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An electrooptical sensor for the detection of muscle contraction is described. Infrared light is injected into the muscle, the backscattering is observed, and the contraction is detected by measuring the change, that occurs during muscle contraction, between the light scattered in the direction parallel and perpendicular to the muscle cells. With respect to electromyography and to optical absorption-based sensors, our device has the advantage of lower invasiveness, of lower sensitivity to electromagnetic noise and to movement artifacts, and of being able to distinguish between isometric and isotonic contractions.

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  1. Andreasen LNS, Struijk UJJ (2003) Artefact reduction with alternative cuff configurations. IEEE Trans Biomed Eng 50:1160–1166

    Article  PubMed  Google Scholar 

  2. Bianchi T, Zambarbieri D, Beltrami G, Verni G (1999) NIRS monitoring of muscle contraction to control a prosthetic device. SPIE Proc 3570:157–163

    Article  Google Scholar 

  3. Fomenko VN, Shwarts FM, Shwarts MA (1998) Exact description of the photon migration in anisotropically scattering media. SPIE Proc 3566:47–56

    Article  Google Scholar 

  4. Gelmetti A, Giardini ME, Lago P, Pavesi R, Zambarbieri D, Maestri R, Felicetti G (1997) Preliminary study of muscle contraction assessment by NIR spectroscopy. SPIE Proc 3199:61–67

    Article  Google Scholar 

  5. Lai JCK, Schoen MP, Gracia AP, Naidu DS, Leung SW (2007) Prosthetic devices: challenges and implications of robotic implants and biological interfaces. Proc Inst Mech Eng H—J Eng Med 221:173–183

    Article  CAS  Google Scholar 

  6. Lopez NM, di Sciascio F, Soria CM, Valentinuzzi ME (2009) Robust EMG sensing system based on data fusion for myoelectric control of a robotic arm. Biomed Eng Online 8: Art. No. 5

  7. Merletti R, Parker PA (eds) (2004) Electromyography: physiology, engineering and noninvasive applications. Wiley-IEEE, USA

    Google Scholar 

  8. Parker P, Englehart K, Hudgins B (2006) Myoelectric signal processing for control of powered limb prostheses. J Electromyogr Kinesiol 16:541–548

    Article  CAS  PubMed  Google Scholar 

  9. Reaz MBI, Hussain MS, Mohd-Yasin F (2006) Techniques of EMG signal analysis: detection, processing, classification and applications. Biol Proced Online 8:11–35

    Article  Google Scholar 

  10. Sood A, Taylor JS, Billock JN (2003) Contact dermatitis to a limb prosthesis. Am J Contact Dermat 14:169–171

    PubMed  Google Scholar 

  11. Tuchin V (2000) Tissue optics. SPIE Publishing, USA

    Google Scholar 

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Correspondence to Mario E. Giardini.

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Chianura, A., Giardini, M.E. An electrooptical muscle contraction sensor. Med Biol Eng Comput 48, 731–734 (2010).

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