Surveying the interest of individuals with upper limb loss in novel prosthetic control techniques

Journal of NeuroEngineering and Rehabilitation

Volumn 12, Issue 1, 2015, Pages

  Engdahl, Susannah M ^a   Christie, Breanne P ^a   Kelly, Brian ^a,b   Davis, Alicia ^a   Chestek, Cynthia A ^a   Gates, Deanna H ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

Prosthetic control; Prosthetic design; Survey; Upper limb loss; Upper limb prostheses

Indexed keywords

ADULT; AGED; ARM AMPUTATION; ARM PROSTHESIS; ARTICLE; BRAIN COMPUTER INTERFACE; CONTROLLED STUDY; CORTICAL INTERFACE; COST EFFECTIVENESS ANALYSIS; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MOTOR CONTROL; MUSCLE REINNERVATION; MYOELECTRIC CONTROL; PATIENT SATISFACTION; PERIPHERAL NERVE INTERFACE; PRIORITY JOURNAL; RISK BENEFIT ANALYSIS; SURGICAL RISK; TOUCH; WEIGHT; AMPUTEE; BRAIN CORTEX; COMPUTER INTERFACE; EDUCATIONAL STATUS; HAND; INNERVATION; LIMB PROSTHESIS; MIDDLE AGED; NEUROPROSTHESIS; PERIPHERAL NERVE; PROSTHESIS DESIGN; QUESTIONNAIRE; SKELETAL MUSCLE; UPPER LIMB; VERY ELDERLY; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; AMPUTEES; ARTIFICIAL LIMBS; BRAIN-COMPUTER INTERFACES; CEREBRAL CORTEX; EDUCATIONAL STATUS; FEMALE; HAND; HUMANS; MALE; MIDDLE AGED; MUSCLE, SKELETAL; NEURAL PROSTHESES; PATIENT SATISFACTION; PERIPHERAL NERVES; PROSTHESIS DESIGN; SURVEYS AND QUESTIONNAIRES; UPPER EXTREMITY; USER-COMPUTER INTERFACE; YOUNG ADULT;

EID: 84931274247     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/s12984-015-0044-2     Document Type: Article

References (32)

1. Ziegler-Graham K, MacKenzie EJ, Ephraim PL, Travison TG, Brookmeyer R. Estimating the prevalence of limb loss in the United States: 2005 to 2050. Arch Phys Med Rehabil. 2008;89(3):422-9.
2. Behrend C, Reizner W, Marchessault JA, Hammert WC. Update on advances in upper extremity prosthetics. J Hand Surg [Am]. 2011;36(10):1711-7.
3. Biddiss EA, Chau TT. Upper limb prosthesis use and abandonment: a survey of the last 25 years. Prosthet Orthot Int. 2007;31(3):236-57.
4. Biddiss E, Beaton D, Chau T. Consumer design priorities for upper limb prosthetics. Disabil Rehabil Assist Technol. 2007;2(6):346-57.
5. Kyberd PJ, Hill W. Survey of upper limb prosthesis users in Sweden, the United Kingdom and Canada. Prosthet Orthot Int. 2011;35(2):234-41.
6. Atkins DJ, Heard DCY, Donovan WH. Epidemiologic overview of individuals with upper-limb loss and their reported research priorities. J Prosthet Orthot. 1996;8(1):2-11.
7. Ohnishi K, Weir RF, Kuiken TA. Neural machine interfaces for controlling multifunctional powered upper-limb prostheses. Expert Rev Med Devic. 2007;4(1):43-53.
8. Ajiboye AB, Weir RF. A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control. IEEE Trans Neural Syst Rehabil Eng. 2005;13(3):280-91.
9. Mattioli FER, EA Lamounier, A Cardoso, AB Soares, AO Andrade. Classification of EMG signals using artificial neural networks for virtual hand prosthesis control. in Conf Proc IEEE Eng Med Biol Soc. 2011; 7254-57.
10. Farina D, Févotte C, Doncarli C, Merletti R. Blind separation of linear instantaneous mixtures of nonstationary surface myoelectric signals. IEEE Trans Biomed Eng. 2004;51(9):1555-67.
11. Sensinger JW, Lock BA, Kuiken TA. Adaptive pattern recognition of myoelectric signals: exploration of conceptual framework and practical algorithms. IEEE Trans Neural Syst Rehabil Eng. 2009;17(3):270-8.
12. Resnik L, SL Klinger, K Etter, C Fantini. Controlling a multi-degree of freedom upper limb prosthesis using foot controls: user experience. Disabil Rehabil Assist Technol, Early Online, 2014;9(4): 318-29
13. Carrozza MC, Persichetti A, Laschi C, Vecchi F, Lazzarini R, Vacalebri P, et al. A wearable Biomechatronic interface for controlling robots with voluntary foot movements. IEEE/ASME Trans Mechatronics. 2007;12(1):1-11.
14. Luzzio CC. Controlling an artificial arm with foot movements. Neurorehab Neural Re. 2000;14(3):207-12.
15. Silva J, Heim W, Chau T. A self-contained, Mechanomyography-driven externally powered prosthesis. Arch Phys Med Rehab. 2005;86(10):2066-70.
16. Abboudi RL, Glass CA, Newby NA, Flint JA, Craelius W. A biomimetic controller for a multifinger prosthesis. IEEE Trans Rehabil Eng. 1999;7(2):121-9.
17. Heath GH. Control of proportional grasping using a myokinemetric signal. Technol Disabil. 2003;15(2):73-83.
18. Kuiken TA, Li G, Lock BA, et al. Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms. J Am Med Assoc. 2009;301(6):619-28.
19. Weir RF, PR Troyk, G DeMichele, D Kerns. Technical Details of the Implantable Myoelectric Sensor (IMES) System for Multifunction Prosthesis Control. in Conf Proc IEEE Eng Med Biol Soc. 2005; 7337-40
20. Weir RF, Troyk PR, DeMichele GA, Kerns DA, Schorsch JF, Maas H. Implantable myoelectric sensors (IMESs) for intramuscular electromyogram recording. IEEE Trans Biomed Eng. 2009;56(1):159-71.
21. Merrill DR, Lockhart J, Troyk PR, Weir RF, Hankin DL. Development of an implantable myoelectric sensor for advanced prosthesis control. Artif Organs. 2011;35(3):249-52.
22. Tyler DJ, Durand DM. Functionally selective peripheral nerve stimulation with a flat interface nerve electrode. IEEE Trans Neural Syst Rehabil Eng. 2002;10(4):294-303.
23. Tan DW, Schiefer MA, Keith MW, Anderson JR, Tyler J, Tyler DJ. A neural interface provides long-term stable natural touch perception. Sci Transl Med. 2014;6(257):257ra138.
24. Clark GA, NM Ledbetter, DJ Warren, RR Harrison. Recording sensory and motor information from peripheral nerves with Utah Slanted Electrode Arrays. in Conf Proc IEEE Eng Med Biol Soc. 2011; 4641-44.
25. Thota AK, S Kuntaegowdanahalli, AK Starosciak, JJ Abbas, J Orbay, KW Horch, R Jung. A system and method to interface with multiple groups of axons in several fascicles of peripheral nerves. J Neurosci Meth, 2014;244: 78-84.
26. Collinger JL, Wodlinger B, Downey JE, Wang W, Tyler-Kabara EC, Weber DJ, et al. High-performance neuroprosthetic control by an individual with tetraplegia. Lancet. 2013;381(9866):557-64.
27. Hochberg LR, Bacher D, Jarosiewicz B, Masse NY, Simeral JD, Vogel J, et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature. 2012;485(7398):372-5.
28. File T, C Ryan. Computer and Internet Use in the United States: 2013. Available from: http://www.census.gov/content/dam/Census/library/publications/2014/acs/acs-28.pdf
29. Davidson J. A survey of the satisfaction of upper limb amputees with their prostheses, their lifestyles, and their abilities. J Hand Ther. 2002;15(1):62-70.
30. Dudkiewicz I, Gabrielov R, Seiv-Ner I, Zelig G, Heim M. Evaluation of prosthetic usage in upper limb amputees. Disabil Rehabil. 2004;26(1):60-3.
31. Kejlaa GH. Consumer concerns and the functional value of prostheses to upper limb amputees. Prosthet Orthot Int. 1993;17(3):157-63.
32. United States Census Bureau. Educational Attainment in the United States: 2013. Available from: http://www.census.gov/hhes/socdemo/education/data/cps/2013/tables.html