ArticleJournal of neuroengineering and rehabilitation2023
The SoftHand Pro platform: a flexible prosthesis with a user-centered approach.
Article in Journal of neuroengineering and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Demystifying upper limb hybrid prostheses-a scoping review.Frontiers in rehabilitation sciences · 2025Pooled it
- Hand Prosthesis with Soft Robotics Technology and Artificial Intelligence for Fine Motor Control.Sensors (Basel, Switzerland) · 2026Article
- System-Level Design and Integration of Dexterous Robotic Hands for Complex Manipulation.Research (Washington, D.C.) · 2026Review
- Multimodal Field-Driven Actuation in Bioinspired Robots: An Emerging Taxonomy and Roadmap Towards Hybrid Intelligence.Biomimetics (Basel, Switzerland) · 2025Review
- Outcomes and Preferences for Decision-Making for Upper Limb Prosthetic Care: The Patient Journey: A Scoping Literature Review.Archives of rehabilitation research and clinical translation · 2025Review
- Soft Robotics in Upper Limb Neurorehabilitation and Assistance: Current Clinical Evidence and Recommendations.Soft robotics · 2025Review
- Smart ArM: a customizable and versatile robotic arm prosthesis platform for Cybathlon and research.Journal of neuroengineering and rehabilitation · 2024Article
- Evolution, biomechanics, and neurobiology converge to explain selective finger motor control.Physiological reviews · 2024Review
- Rewiring the evolution of the human hand: How the embodiment of a virtual bionic tool improves behavior.iScience · 2024Article
- The LIBRA NeuroLimb: Hybrid Real-Time Control and Mechatronic Design for Affordable Prosthetics in Developing Regions.Sensors (Basel, Switzerland) · 2023Article
- Functional assessment of current upper limb prostheses: An integrated clinical and technological perspective.PloS one · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundAmong commercially-available upper-limb prostheses, the two most often used solutions are simple hook-style grippers and poly-articulated hands, which present a higher number of articulations and show a closer resemblance to biological limbs. In their majority, the former type of prostheses is body-powered, while the second type is controlled by myoelectric signals. Body-powered grippers are easy to control and allow a simple form of force feedback, frequently appreciated by users. However, they present limited versatility. Poly-articulated hands afford a wide range of grasp and manipulation types, but require enough residual muscle activation for dexterous control. Several factors, e.g. level of limb loss, personal preferences, cost, current occupation, and hobbies can influence the preference for one option over the other, and is always a result of the trade-off between system performance and users' needs.
methodsThe SoftHand Pro (SHP) is an artificial hand platform that has 19 independent joints (degrees-of-freedom), but is controlled by a single input. The design of this prosthesis is inspired by the concept of postural synergies in motor control and implemented with soft-robotic technologies. Their combination provides increased robustness, safe interaction and the execution of diverse grasps. The potential of the SHP is fully unleashed when users learn how to exploit its features and create an intimate relationship between the technical aspects of the prosthesis design and its control by the user.
resultsThe great versatility of the SoftHand Pro (a reasearch protpotype) permitted its adaptation to the user requirements. This was experienced by the SoftHand Pro Team during the preparation for different CYBATHLON events (from 2016 to 2020). The mixed power and dexterous hand operations required by each task of the race is inspired by everyday tasks. Our prosthesis was driven by different pilots, with different habits and backgrounds. Consequently, the hand control modality was customized according to the user's preferences. Furthermore, the CYBATHLON tasks had some variations in this period, promoting the continuous development of our technology with a user-centered approach. In this paper, we describe the participation and preparation of the SoftHand Pro Team from 2016 to 2020 with three pilots and two different activation modalities, hybrid body-controlled and myoelectric control.
conclusionsWe introduced our pilots, the implementation of the two control modalities, and describe the successful participation in all CYBATHLON events. This work proves the versatility of the system towards the user's preferences and the changes in the race requirements. Finally, we discussed how the CYBATHLON experience and the training in the real-world scenario have driven the evolution of our system and gave us remarkable insights for future perspectives.
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