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A novel approach for predicting usability of upper limb prostheses.
Park, Junho; Zahabi, Maryam; Huang, He; Benden, Mark.
Afiliación
  • Park J; Department of General Engineering, Santa Clara University, Santa Clara, CA, USA.
  • Zahabi M; Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX, USA. Electronic address: mzahabi@tamu.edu.
  • Huang H; Joint Dept. of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, North Carolina, USA.
  • Benden M; Department of Environmental & Occupational Health, School of Public Health, Texas A&M University, College Station, TX, USA.
Appl Ergon ; 120: 104344, 2024 Oct.
Article en En | MEDLINE | ID: mdl-38991493
ABSTRACT
Limb amputation can lead to significant functional challenges in daily activities, prompting amputees to use prosthetic devices (PDs). However, the cognitive demands of PDs and usability issues have resulted in user rejections. This study aimed to create a Human Performance Model for Upper-Limb Prosthetic Devices (HPM-UP). The model used formulations of learnability, error rate, memory load, efficiency, and satisfaction to assess usability. The model was validated in an experiment with 30 healthy participants using a bypass prosthetic device. Findings indicated that the HPM-UP successfully predicted the usability of prosthetic devices, aligning with human subject data. This research proposes a quantitative approach to predict upper limb prosthetic device usability by quantifying each dimension and computationally connecting them. The model, available on Github and executable with Rstudio, could enable clinicians to assess and analyze the human performance of various commercial prostheses, aiding in recommending optimal devices for patients.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diseño de Prótesis / Miembros Artificiales / Extremidad Superior / Amputados Límite: Adult / Female / Humans / Male Idioma: En Revista: Appl Ergon Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diseño de Prótesis / Miembros Artificiales / Extremidad Superior / Amputados Límite: Adult / Female / Humans / Male Idioma: En Revista: Appl Ergon Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido