Literature DB >> 26584497

Non-Invasive, Temporally Discrete Feedback of Object Contact and Release Improves Grasp Control of Closed-Loop Myoelectric Transradial Prostheses.

Francesco Clemente, Marco D'Alonzo, Marco Controzzi, Benoni B Edin, Christian Cipriani.   

Abstract

Human grasping and manipulation control critically depends on tactile feedback. Without this feedback, the ability for fine control of a prosthesis is limited in upper limb amputees. Although various approaches have been investigated in the past, at present there is no commercially available device able to restore tactile feedback in upper limb amputees. Based on the Discrete Event-driven Sensory feedback Control (DESC) policy we present a device able to deliver short-lasting vibrotactile feedback to transradial amputees using commercially available myoelectric hands. The device (DESC-glove) comprises sensorized thimbles to be placed on the prosthesis digits, a battery-powered electronic board, and vibrating units embedded in an arm-cuff being transiently activated when the prosthesis makes and breaks contact with objects. The consequences of using the DESC-glove were evaluated in a longitudinal study. Five transradial amputees were equipped with the device for one month at home. Through a simple test proposed here for the first time-the virtual eggs test-we demonstrate the effectiveness of the device for prosthetic control in daily life conditions. In the future the device could be easily exploited as an add-on to complement myoelectric prostheses or even embedded in prosthetic sockets to enhance their control by upper limb amputees.

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Year:  2015        PMID: 26584497     DOI: 10.1109/TNSRE.2015.2500586

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


  34 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

Review 2.  Recent Developments in Prosthesis Sensors, Texture Recognition, and Sensory Stimulation for Upper Limb Prostheses.

Authors:  Andrew Masteller; Sriramana Sankar; Han Biehn Kim; Keqin Ding; Xiaogang Liu; Angelo H All
Journal:  Ann Biomed Eng       Date:  2020-11-02       Impact factor: 3.934

3.  Alpha-band activity in parietofrontal cortex predicts future availability of vibrotactile feedback in prosthesis use.

Authors:  John T Johnson; Daniele de Mari; Harper Doherty; Frank L Hammond; Lewis A Wheaton
Journal:  Exp Brain Res       Date:  2022-03-07       Impact factor: 1.972

4.  Closed-loop control of a prosthetic finger via evoked proprioceptive information.

Authors:  Luis Vargas; He Helen Huang; Yong Zhu; Xiaogang Hu
Journal:  J Neural Eng       Date:  2021-12-02       Impact factor: 5.379

Review 5.  The science and engineering behind sensitized brain-controlled bionic hands.

Authors:  Chethan Pandarinath; Sliman J Bensmaia
Journal:  Physiol Rev       Date:  2021-09-20       Impact factor: 37.312

Review 6.  Artificial referred sensation in upper and lower limb prosthesis users: a systematic review.

Authors:  Michael Gonzalez; Alex Bismuth; Christina Lee; Cynthia A Chestek; Deanna H Gates
Journal:  J Neural Eng       Date:  2022-09-08       Impact factor: 5.043

7.  A cutaneous mechanoneural interface for neuroprosthetic feedback.

Authors:  Shriya S Srinivasan; Hugh M Herr
Journal:  Nat Biomed Eng       Date:  2021-02-01       Impact factor: 29.234

8.  Improving Fine Control of Grasping Force during Hand-Object Interactions for a Soft Synergy-Inspired Myoelectric Prosthetic Hand.

Authors:  Qiushi Fu; Marco Santello
Journal:  Front Neurorobot       Date:  2018-01-10       Impact factor: 2.650

9.  Discrimination and Recognition of Phantom Finger Sensation Through Transcutaneous Electrical Nerve Stimulation.

Authors:  Mengnan Li; Dingguo Zhang; Yao Chen; Xinyu Chai; Longwen He; Ying Chen; Jinyao Guo; Xiaohong Sui
Journal:  Front Neurosci       Date:  2018-04-30       Impact factor: 4.677

10.  Audible Feedback Improves Internal Model Strength and Performance of Myoelectric Prosthesis Control.

Authors:  Ahmed W Shehata; Erik J Scheme; Jonathon W Sensinger
Journal:  Sci Rep       Date:  2018-06-04       Impact factor: 4.379

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