Patient training for functional use of pattern recognition-controlled prostheses

Journal of Prosthetics and Orthotics

Volumn 24, Issue 2, 2012, Pages 56-64

  Simon, Ann M ^a   Lock, Blair A ^a   Stubblefield, Kathy A ^a  

^a Rehabilitation Institute   (United States)

Author keywords

amputation; clinical protocol; multifunctional prosthesis; myoelectric control; pattern recognition; prosthesis; training; upper limb

Indexed keywords

EID: 84859377854     PISSN: 10408800     EISSN: None     Source Type: Journal    
DOI: 10.1097/JPO.0b013e3182515437     Document Type: Article

References (19)

1. Li G, Schultz AE, Kuiken TA. Quantifying pattern recognition - based myoelectric control of multifunctional transradial prostheses. IEEE Trans Neural Syst Rehabil Eng 2010;18:185-192.
2. Kuiken TA, Li G, Lock BA, et al. Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms. JAMA 2009;301:619-628.
3. Simon AM, Hargrove LJ, Lock BA, Kuiken TA. Target Achievement Control Test: evaluating real-time myoelectric pattern-recognition control of multifunctional upper-limb prostheses. J Rehabil Res Dev 2011;48:619-627.
4. Simon AM, Hargrove L, Lock B, Kuiken T. A decision-based velocity ramp for minimizing the effects of misclassifications during real-time pattern recognition control. IEEE Trans Biomed Eng 2011;58:2360-2368.
5. Stubblefield K, Finucane SB, Miller LA, Lock BA. Training Individuals to Use Pattern Recognition to Control an Upper Limb Prosthesis. New Brunswick, Canada: Myoelectric Controls Symposium; Fredericton; 2011:170-173.
6. Kuiken T. Targeted reinnervation for improved prosthetic function. Phys Med Rehabil Clin N Am 2006;17:1-13. (Pubitemid 43330949)
7. Kuiken TA, Dumanian GA, Lipschutz RD, et al. The use of targeted muscle reinnervation for improved myoelectric prosthesis control in a bilateral shoulder disarticulation amputee. Prosthet Orthot Int 2004;28:245-253. (Pubitemid 40103696)
8. Englehart K, Hudgins B, Chan ADC. Continuous multifunction myoelectric control using pattern recognition. Technol Disabil 2003;15:95-103. (Pubitemid 37025179)
9. Tenore FV, Ramos A, Fahmy A, et al. Decoding of individuated finger movements using surface electromyography. IEEE Trans Biomed Eng 2009;56:1427-1434.
10. Smith RJ, Huberdeau D, Tenore F, Thakor NV. Real-time myoelectric decoding of individual finger movements for a virtual target task. Conf Proc IEEE Eng Med Biol Soc 2009;2009: 2376-2379.
11. Hargrove L, Losier Y, Lock B, et al. A real-time pattern recognition based myoelectric control usability study implemented in a virtual environment. Conf Proc IEEE Eng Med Biol Soc 2007; 2007:4842-4845.
12. Shenoy P, Miller KJ, Crawford B, Rao RN. Online electromyographiccontrol of a robotic prosthesis. IEEE Trans Biomed Eng 2008;55:1128-1135.
13. Scheme E, Fougner A, Stavdahl O, et al. Examining the adverse effects of limb position on pattern recognition based myoelectric control. Conf Proc IEEE Eng Med Biol Soc 2010;2010:6337-6340.
14. Lock B, Simon AM, Stubblefield KA, Hargrove LJ. Prosthesis-Guided Training for Practical Use of Pattern Recognition Control of Prostheses. New Brunswick, Canada: Myoelectric Controls Symposium; Fredericton; 2011:61-64.
15. Hermansson LM, Fisher AG, Bernspang B, Eliasson AC. Assessment of capacity for myoelectric control: a new Rasch-built measure of prosthetic hand control. J Rehabil Med 2005;37:166-171. (Pubitemid 40775156)
16. Wright FV. Measurement of functional outcome with individuals who use upper extremity prosthetic devices: current and future directions. J Prosthet Orthot 2006;18:46-56. (Pubitemid 44510416)
17. Miller LA, Swanson S. Summary and recommendations of the Academy's State of the Science Conference on Upper Limb Prosthetic Outcome Measures. J Prosthet Orthot 2009;21:83-89.
18. Young AJ, Hargrove LJ, Kuiken TA. The effects of electrode size and orientation on the sensitivity of myoelectric pattern recognition systems to electrode shift. IEEE Trans Biomed Eng 2011;58:2537-2544.
19. Simon AM, Lock BA, Stubblefield KA, Hargrove LJ. Prosthesis-Guided Training Increases Functional Wear Time and Improves Tolerance to Malfunctioning Inputs of Pattern RecognitionY Controlled Prostheses. Fredericton, New Brunswick, Canada: Myoelectric Controls Symposium; 2011:65-68.