Literature DB >> 11482365

Biomimetic finger control by filtering of distributed forelimb pressures.

D J Curcie1, J A Flint, W Craelius.   

Abstract

A linear filter was developed for decoding finger commands from volitional pressures distributed within the residual forelimb. Filter parameters were based on dynamic pressures recorded from the residual limb within its socket, during specific finger commands. A matrix of signal features was derived from eight-dimensional (8-D) pressure vectors, and its pseudoinverse comprised the filter parameters. Results with amputees showed that the filter could discriminate specific finger flexion commands, suggesting that pressure vector decoding (PVD) can provide them with biomimetic finger control.

Mesh:

Year:  2001        PMID: 11482365     DOI: 10.1109/7333.918278

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


  8 in total

1.  Cognitive vision system for control of dexterous prosthetic hands: experimental evaluation.

Authors:  Strahinja Dosen; Christian Cipriani; Milos Kostić; Marco Controzzi; Maria C Carrozza; Dejan B Popović
Journal:  J Neuroeng Rehabil       Date:  2010-08-23       Impact factor: 4.262

Review 2.  Non-invasive control interfaces for intention detection in active movement-assistive devices.

Authors:  Joan Lobo-Prat; Peter N Kooren; Arno H A Stienen; Just L Herder; Bart F J M Koopman; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2014-12-17       Impact factor: 4.262

3.  Concurrent surface electromyography and force myography classification during times of prosthetic socket shift and user fatigue.

Authors:  Joe Sanford; Rita Patterson; Dan O Popa
Journal:  J Rehabil Assist Technol Eng       Date:  2017-08-01

Review 4.  A Review of Force Myography Research and Development.

Authors:  Zhen Gang Xiao; Carlo Menon
Journal:  Sensors (Basel)       Date:  2019-10-20       Impact factor: 3.576

5.  A Novel Motion Recognition Method Based on Force Myography of Dynamic Muscle Contractions.

Authors:  Xiangxin Li; Yue Zheng; Yan Liu; Lan Tian; Peng Fang; Jianglang Cao; Guanglin Li
Journal:  Front Neurosci       Date:  2022-01-13       Impact factor: 4.677

Review 6.  A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human-Machine Interactivities and Biomedical Applications.

Authors:  Zhuo Zheng; Zinan Wu; Runkun Zhao; Yinghui Ni; Xutian Jing; Shuo Gao
Journal:  Biosensors (Basel)       Date:  2022-07-12

7.  Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography.

Authors:  Marek Sierotowicz; Donato Brusamento; Benjamin Schirrmeister; Mathilde Connan; Jonas Bornmann; Jose Gonzalez-Vargas; Claudio Castellini
Journal:  Front Robot AI       Date:  2022-09-12

Review 8.  Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography.

Authors:  Claudio Castellini; Panagiotis Artemiadis; Michael Wininger; Arash Ajoudani; Merkur Alimusaj; Antonio Bicchi; Barbara Caputo; William Craelius; Strahinja Dosen; Kevin Englehart; Dario Farina; Arjan Gijsberts; Sasha B Godfrey; Levi Hargrove; Mark Ison; Todd Kuiken; Marko Marković; Patrick M Pilarski; Rüdiger Rupp; Erik Scheme
Journal:  Front Neurorobot       Date:  2014-08-15       Impact factor: 2.650

  8 in total

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