Literature DB >> 32175133

Advanced technologies for intuitive control and sensation of prosthetics.

Erik J Wolf1, Theresa H Cruz2, Alfred A Emondi3, Nicholas B Langhals4, Stephanie Naufel5, Grace C Y Peng6, Brian W Schulz7, Michael Wolfson6.   

Abstract

The Department of Defense, Department of Veterans Affairs and National Institutes of Health have invested significantly in advancing prosthetic technologies over the past 25 years, with the overall intent to improve the function, participation and quality of life of Service Members, Veterans, and all United States Citizens living with limb loss. These investments have contributed to substantial advancements in the control and sensory perception of prosthetic devices over the past decade. While control of motorized prosthetic devices through the use of electromyography has been widely available since the 1980s, this technology is not intuitive. Additionally, these systems do not provide stimulation for sensory perception. Recent research has made significant advancement not only in the intuitive use of electromyography for control but also in the ability to provide relevant meaningful perceptions through various stimulation approaches. While much of this previous work has traditionally focused on those with upper extremity amputation, new developments include advanced bidirectional neuroprostheses that are applicable to both the upper and lower limb amputation. The goal of this review is to examine the state-of-the-science in the areas of intuitive control and sensation of prosthetic devices and to discuss areas of exploration for the future. Current research and development efforts in external systems, implanted systems, surgical approaches, and regenerative approaches will be explored. © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2019.

Entities:  

Keywords:  Brain–machine interface; Limb loss; Muscle; Osseointegration; Peripheral nerve; Regenerative

Year:  2019        PMID: 32175133      PMCID: PMC7046895          DOI: 10.1007/s13534-019-00127-7

Source DB:  PubMed          Journal:  Biomed Eng Lett        ISSN: 2093-9868


  4 in total

1.  Developing a control framework for self-adjusting prosthetic sockets incorporating tissue injury risk estimation and generalized predictive control.

Authors:  F M Mbithi; A J Chipperfield; J W Steer; A S Dickinson
Journal:  Biomed Eng Lett       Date:  2021-12-02

Review 2.  Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview.

Authors:  Ankit Vijayvargiya; Bharat Singh; Rajesh Kumar; João Manuel R S Tavares
Journal:  Biomed Eng Lett       Date:  2022-06-24

3.  Acquisition of Surface EMG Using Flexible and Low-Profile Electrodes for Lower Extremity Neuroprosthetic Control.

Authors:  Seong Ho Yeon; Tony Shu; Hyungeun Song; Tsung-Han Hsieh; Junqing Qiao; Emily A Rogers; Samantha Gutierrez-Arango; Erica Israel; Lisa E Freed; Hugh M Herr
Journal:  IEEE Trans Med Robot Bionics       Date:  2021-07-21

4.  Closed-loop stimulation of lateral cervical spinal cord in upper-limb amputees to enable sensory discrimination: a case study.

Authors:  Ameya C Nanivadekar; Santosh Chandrasekaran; Eric R Helm; Michael L Boninger; Jennifer L Collinger; Robert A Gaunt; Lee E Fisher
Journal:  Sci Rep       Date:  2022-10-11       Impact factor: 4.996

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.