Clinical and Biomechanical Evaluation of an Adaptive Polyarticulated Myoelectric Hand Prosthesis: A Case Report

Introduction: Adaptive polyarticulated myoelectric hands aim to improve grasp versatility and intuitiveness of use; however, objective clinical and biomechanical evidence supporting their functional impact remains limited. Case presentation: A 75-year-old right-hand-dominant male with a long-standing transradial traumatic amputation and over 30 years of experience with a myoelectric tridigital prosthesis underwent experimental evaluation of an adaptive polyarticulated myoelectric hand (Adam’s Hand®). Methods: Assessment included patient-reported outcome measures (Orthotics and Prosthetics User Survey—Upper Extremity Functional Status (OPUS-UEFS), Trinity Amputation and Prosthesis Experience Scales–Revised (TAPES-R), Disabilities of the Arm, Shoulder and Hand questionnaire (DASH), Short Form Health Survey 36 (SF-36)), standardized performance-based functional tests (Minnesota Manual Dexterity Test (MMDT), Box and Block Test (BBT), Southampton Hand Assessment Procedure (SHAP)), and laboratory-based biomechanical evaluation using optoelectronic motion capture and surface electromyography during Pointing, Hand-to-Mouth, and Grasping tasks. The adaptive prosthesis was tested after rapid artificial intelligence-based calibration, without structured training. Results: Patient-reported outcomes reflected high satisfaction and adaptation to the habitual prosthesis. Performance-based tests favored the habitual device in speed and dexterity, whereas the adaptive hand enabled additional grasp patterns. Biomechanically, the adaptive hand was smoother and faster during reaching, but less stable during grasping. Compensatory trunk and shoulder movements occurred with both devices, with a trend toward less compensation during reaching with the adaptive hand. Conclusions: This case highlights a task-dependent biomechanical profile of an adaptive polyarticulated myoelectric hand under first-use conditions. Rapid calibration may support immediate use for reaching, while optimal grasp control appears to require structured training.

Authors

Institutions

Publication Details

Journal
Prosthesis
Published
2026-10-30
DOI
https://doi.org/10.3390/prosthesis8110115
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical and Biomechanical Evaluation of an Adaptive Polyarticulated Myoelectric Hand Prosthesis: A Case Report

Sveva Maria Nusca, Mario Vetrano, Giovanni Galeoto, Giovanni Antonio Zappatore et al.
Prosthesis
Prosthetics and Rehabilitation Robotics
article

Clinical and Biomechanical Evaluation of an Adaptive Polyarticulated Myoelectric Hand Prosthesis: A Case Report

Sveva Maria Nusca, Mario Vetrano, Giovanni Galeoto, Giovanni Antonio Zappatore, Marco Paoloni, Andrea Bernetti, Giuseppe Giannicola, Francesco Agostini, Massimiliano Mangone, Mattia Giuseppe Viva, Francescaroberta Panuccio, Alessio Fricano, Irene Gennarelli
article en

Abstract

Introduction: Adaptive polyarticulated myoelectric hands aim to improve grasp versatility and intuitiveness of use; however, objective clinical and biomechanical evidence supporting their functional impact remains limited. Case presentation: A 75-year-old right-hand-dominant male with a long-standing transradial traumatic amputation and over 30 years of experience with a myoelectric tridigital prosthesis underwent experimental evaluation of an adaptive polyarticulated myoelectric hand (Adam’s Hand®). Methods: Assessment included patient-reported outcome measures (Orthotics and Prosthetics User Survey—Upper Extremity Functional Status (OPUS-UEFS), Trinity Amputation and Prosthesis Experience Scales–Revised (TAPES-R), Disabilities of the Arm, Shoulder and Hand questionnaire (DASH), Short Form Health Survey 36 (SF-36)), standardized performance-based functional tests (Minnesota Manual Dexterity Test (MMDT), Box and Block Test (BBT), Southampton Hand Assessment Procedure (SHAP)), and laboratory-based biomechanical evaluation using optoelectronic motion capture and surface electromyography during Pointing, Hand-to-Mouth, and Grasping tasks. The adaptive prosthesis was tested after rapid artificial intelligence-based calibration, without structured training. Results: Patient-reported outcomes reflected high satisfaction and adaptation to the habitual prosthesis. Performance-based tests favored the habitual device in speed and dexterity, whereas the adaptive hand enabled additional grasp patterns. Biomechanically, the adaptive hand was smoother and faster during reaching, but less stable during grasping. Compensatory trunk and shoulder movements occurred with both devices, with a trend toward less compensation during reaching with the adaptive hand. Conclusions: This case highlights a task-dependent biomechanical profile of an adaptive polyarticulated myoelectric hand under first-use conditions. Rapid calibration may support immediate use for reaching, while optimal grasp control appears to require structured training.

ProsthesisVol. 8(11)
University of Udine (IT), University of Salento (IT), Istituto Neurologico Mediterraneo (IT), Sapienza University of Rome (IT)
Good health and well-being
Openalex Percentile: Top 25%
Prosthetics and Rehabilitation Robotics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon