Literature DB >> 22855230

Haptic feedback enhances grip force control of sEMG-controlled prosthetic hands in targeted reinnervation amputees.

Keehoon Kim1, J Edward Colgate.   

Abstract

In this study, we hypothesized that haptic feedback would enhance grip force control of surface electromyography (sEMG)-controlled prosthetic hands for targeted reinnervation (TR) amputees. A new miniature haptic device, a tactor, that can deliver touch, pressure, shear, and temperature sensation, allows modality-matching haptic feedback. TR surgery that creates sensory regions on the patient's skin that refer to the surface of the missing limb allows somatotopic-matching haptic feedback. This paper evaluates the hypothesis via an sEMG-controlled virtual prosthetic arm operated by TR amputees under diverse haptic feedback conditions. The results indicate that the grip force control is significantly enhanced via the haptic feedback. However, the simultaneous display of two haptic channels (pressure and shear) does not enhance, but instead degrades, grip force control.

Entities:  

Mesh:

Year:  2012        PMID: 22855230     DOI: 10.1109/TNSRE.2012.2206080

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  18 in total

1.  Design and Integration of an Inexpensive Wearable Mechanotactile Feedback System for Myoelectric Prostheses.

Authors:  Katherine R Schoepp; Michael R Dawson; Jonathon S Schofield; Jason P Carey; Jacqueline S Hebert
Journal:  IEEE J Transl Eng Health Med       Date:  2018-08-13       Impact factor: 3.316

2.  Internal models of upper limb prosthesis users when grasping and lifting a fragile object with their prosthetic limb.

Authors:  Peter S Lum; Iian Black; Rahsaan J Holley; Jessica Barth; Alexander W Dromerick
Journal:  Exp Brain Res       Date:  2014-08-21       Impact factor: 1.972

3.  Object Recognition via Evoked Sensory Feedback during Control of a Prosthetic Hand.

Authors:  Luis Vargas; He Huang; Yong Zhu; Xiaogang Hu
Journal:  IEEE Robot Autom Lett       Date:  2021-10-27

4.  A Multi-User Transradial Functional-Test Socket for Validation of New Myoelectric Prosthetic Control Strategies.

Authors:  Taylor C Hansen; Abigail R Citterman; Eric S Stone; Troy N Tully; Christopher M Baschuk; Christopher C Duncan; Jacob A George
Journal:  Front Neurorobot       Date:  2022-06-17       Impact factor: 3.493

5.  A Human-Robot Interaction Perspective on Assistive and Rehabilitation Robotics.

Authors:  Philipp Beckerle; Gionata Salvietti; Ramazan Unal; Domenico Prattichizzo; Simone Rossi; Claudio Castellini; Sandra Hirche; Satoshi Endo; Heni Ben Amor; Matei Ciocarlie; Fulvio Mastrogiovanni; Brenna D Argall; Matteo Bianchi
Journal:  Front Neurorobot       Date:  2017-05-23       Impact factor: 2.650

6.  Comparison of vibrotactile and joint-torque feedback in a myoelectric upper-limb prosthesis.

Authors:  Neha Thomas; Garrett Ung; Colette McGarvey; Jeremy D Brown
Journal:  J Neuroeng Rehabil       Date:  2019-06-11       Impact factor: 4.262

7.  A Haptic Feedback Scheme to Accurately Position a Virtual Wrist Prosthesis Using a Three-Node Tactor Array.

Authors:  Andrew Erwin; Frank C Sup
Journal:  PLoS One       Date:  2015-08-11       Impact factor: 3.240

8.  An exploration of grip force regulation with a low-impedance myoelectric prosthesis featuring referred haptic feedback.

Authors:  Jeremy D Brown; Andrew Paek; Mashaal Syed; Marcia K O'Malley; Patricia A Shewokis; Jose L Contreras-Vidal; Alicia J Davis; R Brent Gillespie
Journal:  J Neuroeng Rehabil       Date:  2015-11-25       Impact factor: 4.262

Review 9.  Control of Prosthetic Hands via the Peripheral Nervous System.

Authors:  Anna Lisa Ciancio; Francesca Cordella; Roberto Barone; Rocco Antonio Romeo; Alberto Dellacasa Bellingegni; Rinaldo Sacchetti; Angelo Davalli; Giovanni Di Pino; Federico Ranieri; Vincenzo Di Lazzaro; Eugenio Guglielmelli; Loredana Zollo
Journal:  Front Neurosci       Date:  2016-04-08       Impact factor: 4.677

10.  Automatic hand phantom map generation and detection using decomposition support vector machines.

Authors:  Huaiqi Huang; Claudio Bruschini; Christian Antfolk; Christian Enz; Tao Li; Jörn Justiz; Volker M Koch
Journal:  Biomed Eng Online       Date:  2018-06-11       Impact factor: 2.819

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.