Literature DB >> 27071179

Multichannel Electrotactile Feedback With Spatial and Mixed Coding for Closed-Loop Control of Grasping Force in Hand Prostheses.

Strahinja Dosen, Marko Markovic, Matija Strbac, Minja Belic, Vladimir Kojic, Goran Bijelic, Thierry Keller, Dario Farina.   

Abstract

Providing somatosensory feedback to the user of a myoelectric prosthesis is an important goal since it can improve the utility as well as facilitate the embodiment of the assistive system. Most often, the grasping force was selected as the feedback variable and communicated through one or more individual single channel stimulation units (e.g., electrodes, vibration motors). In the present study, an integrated, compact, multichannel solution comprising an array electrode and a programmable stimulator was presented. Two coding schemes (15 levels), spatial and mixed (spatial and frequency) modulation, were tested in able-bodied subjects, psychometrically and in force control with routine grasping and force tracking using real and simulated prosthesis. The results demonstrated that mixed and spatial coding, although substantially different in psychometric tests, resulted in a similar performance during both force control tasks. Furthermore, the ideal, visual feedback was not better than the tactile feedback in routine grasping. To explain the observed results, a conceptual model was proposed emphasizing that the performance depends on multiple factors, including feedback uncertainty, nature of the task and the reliability of the feedforward control. The study outcomes, specific conclusions and the general model, are relevant for the design of closed-loop myoelectric prostheses utilizing tactile feedback.

Mesh:

Year:  2016        PMID: 27071179     DOI: 10.1109/TNSRE.2016.2550864

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


  20 in total

1.  Object discrimination using electrotactile feedback.

Authors:  Tapas J Arakeri; Brady A Hasse; Andrew J Fuglevand
Journal:  J Neural Eng       Date:  2018-04-09       Impact factor: 5.379

2.  Electropneumotactile Stimulation: Multimodal Haptic Actuators Enabled by a Stretchable Conductive Polymer on Inflatable Pockets.

Authors:  Cody W Carpenter; Marigold G Malinao; Tarek A Rafeedi; Daniel Rodriquez; Siew Ting Melissa Tan; Nicholas B Root; Kyle Skelil; Julian Ramírez; Beril Polat; Samuel E Root; Vilayanur S Ramachandran; Darren J Lipomi
Journal:  Adv Mater Technol       Date:  2020-05-05

3.  Controlling sensation intensity for electrotactile stimulation in human-machine interfaces.

Authors:  Aadeel Akhtar; Joseph Sombeck; Brandon Boyce; Timothy Bretl
Journal:  Sci Robot       Date:  2018-04-25

Review 4.  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

5.  Peripheral Nervous System Interfaces: Invasive or Non-invasive?

Authors:  Claudio Castellini
Journal:  Front Neurorobot       Date:  2022-04-29       Impact factor: 3.493

6.  Perception thresholds and qualitative perceptions for electrocutaneous stimulation.

Authors:  Eva-Maria Dölker; Stephan Lau; Maria Anne Bernhard; Jens Haueisen
Journal:  Sci Rep       Date:  2022-05-05       Impact factor: 4.996

7.  Electrotactile Feedback Improves Performance and Facilitates Learning in the Routine Grasping Task.

Authors:  Milica Isaković; Minja Belić; Matija Štrbac; Igor Popović; Strahinja Došen; Dario Farina; Thierry Keller
Journal:  Eur J Transl Myol       Date:  2016-06-13

8.  Tactile feedback is an effective instrument for the training of grasping with a prosthesis at low- and medium-force levels.

Authors:  Alessandro Marco De Nunzio; Strahinja Dosen; Sabrina Lemling; Marko Markovic; Meike Annika Schweisfurth; Nan Ge; Bernhard Graimann; Deborah Falla; Dario Farina
Journal:  Exp Brain Res       Date:  2017-05-26       Impact factor: 1.972

Review 9.  Elucidating Sensorimotor Control Principles with Myoelectric Musculoskeletal Models.

Authors:  Sarah E Goodman; Christopher J Hasson
Journal:  Front Hum Neurosci       Date:  2017-11-10       Impact factor: 3.169

10.  A somatotopic bidirectional hand prosthesis with transcutaneous electrical nerve stimulation based sensory feedback.

Authors:  Edoardo D'Anna; Francesco M Petrini; Fiorenzo Artoni; Igor Popovic; Igor Simanić; Stanisa Raspopovic; Silvestro Micera
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

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