Literature DB >> 21938658

Myoelectric forearm prostheses: state of the art from a user-centered perspective.

Bart Peerdeman1, Daphne Boere, Heidi Witteveen, Rianne Huis in 't Veld, Hermie Hermens, Stefano Stramigioli, Hans Rietman, Peter Veltink, Sarthak Misra.   

Abstract

User acceptance of myoelectric forearm prostheses is currently low. Awkward control, lack of feedback, and difficult training are cited as primary reasons. Recently, researchers have focused on exploiting the new possibilities offered by advancements in prosthetic technology. Alternatively, researchers could focus on prosthesis acceptance by developing functional requirements based on activities users are likely to perform. In this article, we describe the process of determining such requirements and then the application of these requirements to evaluating the state of the art in myoelectric forearm prosthesis research. As part of a needs assessment, a workshop was organized involving clinicians (representing end users), academics, and engineers. The resulting needs included an increased number of functions, lower reaction and execution times, and intuitiveness of both control and feedback systems. Reviewing the state of the art of research in the main prosthetic subsystems (electromyographic [EMG] sensing, control, and feedback) showed that modern research prototypes only partly fulfill the requirements. We found that focus should be on validating EMG-sensing results with patients, improving simultaneous control of wrist movements and grasps, deriving optimal parameters for force and position feedback, and taking into account the psychophysical aspects of feedback, such as intensity perception and spatial acuity.

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Year:  2011        PMID: 21938658     DOI: 10.1682/jrrd.2010.08.0161

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  71 in total

1.  Object stiffness recognition using haptic feedback delivered through transcutaneous proximal nerve stimulation.

Authors:  Luis Vargas; Henry Shin; He Helen Huang; Yong Zhu; Xiaogang Hu
Journal:  J Neural Eng       Date:  2019-12-05       Impact factor: 5.379

Review 2.  Improving the functionality, robustness, and adaptability of myoelectric control for dexterous motion restoration.

Authors:  Dapeng Yang; Yikun Gu; Nitish V Thakor; Hong Liu
Journal:  Exp Brain Res       Date:  2018-11-30       Impact factor: 1.972

3.  Spatio-spectral filters for low-density surface electromyographic signal classification.

Authors:  Gan Huang; Zhiguo Zhang; Dingguo Zhang; Xiangyang Zhu
Journal:  Med Biol Eng Comput       Date:  2013-02-06       Impact factor: 2.602

4.  Towards Including End-Users in the Design of Prosthetic Hands: Ethical Analysis of a Survey of Australians with Upper-Limb Difference.

Authors:  Mary Jean Walker; Eliza Goddard; Benjamin Stephens-Fripp; Gursel Alici
Journal:  Sci Eng Ethics       Date:  2019-12-12       Impact factor: 3.525

5.  An Epidermal Stimulation and Sensing Platform for Sensorimotor Prosthetic Control, Management of Lower Back Exertion, and Electrical Muscle Activation.

Authors:  Baoxing Xu; Aadeel Akhtar; Yuhao Liu; Hang Chen; Woon-Hong Yeo; Sung Ii Park; Brandon Boyce; Hyunjin Kim; Jiwoo Yu; Hsin-Yen Lai; Sungyoung Jung; Yuhao Zhou; Jeonghyun Kim; Seongkyu Cho; Yonggang Huang; Timothy Bretl; John A Rogers
Journal:  Adv Mater       Date:  2015-10-15       Impact factor: 30.849

6.  Training Strategies for Mitigating the Effect of Proportional Control on Classification in Pattern Recognition Based Myoelectric Control.

Authors:  Erik Scheme; Kevin Englehart
Journal:  J Prosthet Orthot       Date:  2013-04-01

Review 7.  Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands.

Authors:  Marco Santello; Matteo Bianchi; Marco Gabiccini; Emiliano Ricciardi; Gionata Salvietti; Domenico Prattichizzo; Marc Ernst; Alessandro Moscatelli; Henrik Jörntell; Astrid M L Kappers; Kostas Kyriakopoulos; Alin Albu-Schäffer; Claudio Castellini; Antonio Bicchi
Journal:  Phys Life Rev       Date:  2016-02-03       Impact factor: 11.025

Review 8.  Internet of Things and Robotics in Transforming Current-Day Healthcare Services.

Authors:  Bikash Pradhan; Deepti Bharti; Sumit Chakravarty; Sirsendu S Ray; Vera V Voinova; Anton P Bonartsev; Kunal Pal
Journal:  J Healthc Eng       Date:  2021-05-26       Impact factor: 2.682

9.  Sonomyography Combined with Vibrotactile Feedback Enables Precise Target Acquisition Without Visual Feedback.

Authors:  Shriniwas Patwardhan; Biswarup Mukherjee; Ananya Dhawan; Meena Alzamani; Abdul Noor; Susannah Engdahl; Wilsaan M Joiner; Siddhartha Sikdar
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2020-07

10.  A novel framework for designing a multi-DoF prosthetic wrist control using machine learning.

Authors:  Chinmay P Swami; Nicholas Lenhard; Jiyeon Kang
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

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