Cited by 519Prosthetics and Rehabilitation RoboticsAssistive Technology in Communication and MobilityMuscle activation and electromyography studies

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Consumer design priorities for upper limb prosthetics

Biddiss, Elaine, Beaton, Dorcas, Chau, Tom·2007·Disability and Rehabilitation: Assistive Technology

DOI 10.1080/17483100701714733

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Abstract

PURPOSE: To measure consumer satisfaction with upper limb prosthetics and provide an enumerated list of design priorities for future developments. METHODS: A self-administered, anonymous survey collected information on participant demographics, history of and goals for prosthesis use, satisfaction, and design priorities. The questionnaire was available online and in paper format and was distributed through healthcare providers, community support groups, and one prosthesis manufacturer; 242 participants of all ages and levels of upper limb absence completed the survey. RESULTS: Rates of rejection for myoelectric hands, passive hands, and body-powered hooks were 39%, 53%, and 50%, respectively. Prosthesis wearers were generally satisfied with their devices while prosthesis rejecters were dissatisfied. Reduced prosthesis weight emerged as the highest priority design concern of consumers. Lower cost ranked within the top five design priorities for adult wearers of all device types. Life-like appearance is a priority for passive/cosmetic prostheses, while improved harness comfort, wrist movement, grip control and strength are required for body-powered devices. Glove durability, lack of sensory feedback, and poor dexterity were also identified as design priorities for electric devices. CONCLUSIONS: Design priorities reflect consumer goals for prosthesis use and vary depending on the type of prosthesis used and age. Future design efforts should focus on the development of more light-weight, comfortable prostheses.

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The measurement of satisfaction with healthcare: implications for practice from a systematic review of the literature
Crow, R. A., Gage, H., Hampson, S., Hart, J., Kimber, A., Storey, L., & Thomas, H. (2002) · Health Technology Assessment · doi:10.3310/hta6320 · Cited by 1,267
Upper limb prosthesis use and abandonment
Biddiss, E. A., & Chau, T. T. (2007) · Prosthetics and Orthotics International · doi:10.1080/03093640600994581 · Cited by 1,123
Self-citation
A Gaussian Mixture Model Based Classification Scheme for Myoelectric Control of Powered Upper Limb Prostheses
Huang, Y., Englehart, K. B., Hudgins, B., & Chan, A. D. C. (2005) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.856295 · Cited by 641
Direct neural sensory feedback and control of a prosthetic arm
Dhillon, G. S., & Horch, K. W. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.856072 · Cited by 573
Epidemiologic Overview of Individuals with Upper-Limb Loss and Their Reported Research Priorities
Atkins, D. J., Heard, D. C. Y., & Donovan, W. H. (1996) · JPO Journal of Prosthetics and Orthotics · doi:10.1097/00008526-199600810-00003 · Cited by 517
Internet Versus Mailed Questionnaires: A Randomized Comparison
Ritter, P., Lorig, K., Laurent, D., & Matthews, K. (2004) · Journal of Medical Internet Research · doi:10.2196/jmir.6.3.e29 · Cited by 427 · cited 1×
“With some exceptions [44], response rates are generally lower for emailed surveys than for conventional methods [29].”
Background
A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control
Ajiboye, A. B., & Weir, R. F. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.847357 · Cited by 415
Gender and the Internet*
Ono, H., & Madeline Zavodny, B. (2003) · Social Science Quarterly · doi:10.1111/1540-6237.t01-1-8401007 · Cited by 397
The SPRING Hand: Development of a Self-Adaptive Prosthesis for Restoring Natural Grasping
Carrozza, M. C., Suppo, C., Sebastiani, F., Massa, B., Vecchi, F., Lazzarini, R., Cutkosky, M. R., & Dario, P. (2004) · Autonomous Robots · doi:10.1023/b:auro.0000016863.48502.98 · Cited by 255
A survey of the satisfaction of upper limb amputees with their prostheses, their lifestyles, and their abilities
Davidson, J. (2002) · Journal of Hand Therapy · doi:10.1053/hanthe.2002.v15.01562 · Cited by 200

Show all 48 references

Research works printed but not linked: 7

Crow R, 2002, Health Tech Assess [serial online], 6
Kyberd P, 1998, J Prosthet Orthot [serial online], 10
Crandall R C, 2002, J Pediatr Orthop, 22, 380
Berke G M, 1991, J Prosthet Orthot [serial online], 3
Hubbard S, 1997, The limb deficient child, 417
Biddiss E, Prosthet Orthot Int
Lake C, 2003, J Prosthet Orthot [serial online], 15

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Electromyogram synergy control of a dexterous artificial hand to unscrew and screw objects
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Development of a biomimetic transradial prosthetic arm with shape memory alloy muscle wires
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Sando, I. C., Adidharma, W., Nedic, A., Ursu, D. C., Mays, E. A., Hu, Y., Kubiak, C. A., Sugg, K. B., Kung, T. A., Cederna, P. S., et al. (2022) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000010086 · Cited by 26
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Fabrication and application of an adjustable myoelectric transhumeral prosthetic socket
Schofield, J. S., Schoepp, K. R., Stobbe, M., Marasco, P. D., & Hebert, J. S. (2019) · Prosthetics and Orthotics International · doi:10.1177/0309364619836353 · Cited by 24
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Wells, E. D., Shehata, A. W., Dawson, M. R. W., Carey, J. P., & Hebert, J. S. (2022) · Sensors · doi:10.3390/s22103892 · Cited by 24
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Authors: Biddiss, E., Beaton, D., & Chau, T.
Affiliations: University of Toronto (CA)
Institute for Work & Health (CA)
Corresponding author: Chau, Tom
ORCID: Biddiss, Elaine
Beaton, Dorcas
Chau, Tom
Venue: Disability and Rehabilitation: Assistive Technology
Publisher: Informa UK Limited
Published: 2007-01
Volume: 2
Issue: 6
Pages: 346-357
ISSN: 1748-3107 (ISSN-L)
1748-3115
DOI: 10.1080/17483100701714733
OpenAlex: W2051230789
Cited by: 519
References: 48
Citations by year: 2026: 19 · 2025: 25 · 2024: 22 · 2023: 41 · 2022: 47 · 2021: 50 · 2020: 35 · 2019: 55 · 2018: 32 · 2017: 36 · 2016: 30 · 2015: 24 · 2014: 27 · 2013: 23 · 2012: 21
FWCI: 3.59
Type: journal article
Language: en
Open access: closed
Locations: Disability and Rehabilitation Assistive Technology (publishedVersion)
PubMed (publishedVersion)
Topics: Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
Keywords: upper limb prosthesis, customer satisfaction, design priorities, myoelectric hand, prosthesis rejection, prosthesis weight, prosthesis cost, grip control, sensory feedback, glove durability, dexterity, age differences
MeSH terms: Adolescent, Adult, Aged, Aged, 80 and over, Artificial Limbs, Child, Equipment Design, Female, Humans, Male, Middle Aged, Surveys and Questionnaires, Patient Satisfaction, Upper Extremity, Qualitative Research, Young Adult

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Consumer design priorities for upper limb prosthetics

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