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Simultaneous estimation of 2-DOF wrist movements based on constrained non-negative matrix factorization and Hadamard product

Published on Feb 1, 2020in Biomedical Signal Processing and Control2.943
· DOI :10.1016/J.BSPC.2019.101729
Dapeng Yang13
Estimated H-index: 13
(HIT: Harbin Institute of Technology),
Jiaming Li1
Estimated H-index: 1
(HIT: Harbin Institute of Technology)
+ 1 AuthorsHong Liu18
Estimated H-index: 18
(HIT: Harbin Institute of Technology)
Abstract
Abstract Decoding hand/wrist movements of multiple degrees of freedom (multi-DOF) plays a significant role in the simultaneous and proportional control of dexterous prostheses. In this paper, we propose a new algorithm, CNMF-HP, that integrates the constrained non-negative matrix factorization (NMF) and Hadamard product, for estimating 2-DOF wrist movements (DOF-1, flexion/extension; DOF-2, adduction/abduction) from myoelectric signals. We suppose that, by supplementing L2 norm regular term and Hadamard product to the objective function, the performance of NMF can be improved. We evaluate our method through both offline (cross-validation) and online (target-tracking) experiments, on metrics such as regression accuracy (ASNR and R2) and those from 2D Fitts’ law (completion rate, path efficiency, throughput, etc.). Our results show that, compared with the existing methods (classic NMF; NMF with sparse constraint, SCNMF; NMF with Hadamard product, NMF-HP), our method CNMF-HP shows superior both in the offline cross-validation (metrics: average ASNR, R2) and online experiments (metric: throughput).
  • References (31)
  • Citations (1)
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References31
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#1Ahmed EbiedH-Index: 3
#2Eli Kinney-LangH-Index: 4
Last. Javier EscuderoH-Index: 25
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The muscle synergy concept provides a widely-accepted paradigm to break down the complexity of motor control. In order to identify the synergies, different matrix factorisation techniques have been used in a repertoire of fields such as prosthesis control and biomechanical and clinical studies. However, the relevance of these matrix factorisation techniques is still open for discussion since there is no ground truth for the underlying synergies. Here, we evaluate factorisation techniques and inv...
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#1Janne M. Hahne (GAU: University of Göttingen)H-Index: 10
#2Meike A. Schweisfurth (Hamburg University of Applied Sciences)H-Index: 7
Last. Dario Farina (Imperial College London)H-Index: 80
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Myoelectric hand prostheses are usually controlled with two bipolar electrodes located on the flexor and extensor muscles of the residual limb. With clinically established techniques, only one function can be controlled at a time. This is cumbersome and limits the benefit of additional functions offered by modern prostheses. Extensive research has been conducted on more advanced control techniques, but the clinical impact has been limited, mainly due to the lack of reliability in real-world cond...
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#1Joseph L. Betthauser (Johns Hopkins University)H-Index: 5
#2Christopher L. Hunt (Johns Hopkins University)H-Index: 3
Last. Nitish V. Thakor (Johns Hopkins University)H-Index: 66
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Myoelectric signals can be used to predict the intended movements of an amputee for prosthesis control. However, untrained effects like limb position changes influence myoelectric signal characteristics, hindering the ability of pattern recognition algorithms to discriminate among motion classes. Despite frequent and long training sessions, these deleterious conditional influences may result in poor performance and device abandonment. Goal: We present a robust sparsity-based adaptive classificat...
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#1Ivan Vujaklija (Imperial College London)H-Index: 13
#2Vahid Shalchyan (IUST: Iran University of Science and Technology)H-Index: 4
Last. Dario Farina (Imperial College London)H-Index: 80
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In this paper, we propose a nonlinear minimally supervised method based on autoencoding (AEN) of EMG for myocontrol. The proposed method was tested against the state-of-the-art (SOA) control scheme using a Fitts’ law approach. Seven able-bodied subjects performed a series of target acquisition myoelectric control tasks using the AEN and SOA algorithms for controlling two degrees-of-freedom (radial/ulnar deviation and flexion/extension of the wrist), and their online performance was characterized...
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#1Kiley L. Armstrong (Case Western Reserve University)H-Index: 2
#2Lisa M. LombardoH-Index: 5
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Background The leading cause of injury for manual wheelchair users are tips and falls caused by unexpected destabilizing events encountered during everyday activities. The purpose of this study was to determine the feasibility of automatically restoring seated stability to manual wheelchair users with spinal cord injury (SCI) via a threshold-based system to activate the hip and trunk muscles with electrical stimulation during potentially destabilizing events.
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#1Wei Yang (HIT: Harbin Institute of Technology)H-Index: 3
#2Dapeng Yang (HIT: Harbin Institute of Technology)H-Index: 13
Last. Hong Liu (HIT: Harbin Institute of Technology)H-Index: 18
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For describing the state of the wrist, either the force or movement of wrist can be measured as the training target in the simultaneous electromyography control. However, the relationship between the force and movement is so complex that only the force or movement is not precise enough to describe its actual situations. In this paper, we propose a novel platform that can acquire three degrees of freedom (DOF) wrist motion/force synchronously with multi-channel electromyography signals in a hemi-...
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#1Pyungkang Kim (University of Texas Health Science Center at Houston)H-Index: 2
#2Kyung-Soo Kim (KAIST)H-Index: 22
Last. Soohyun Kim (KAIST)H-Index: 28
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#1Chuang Lin (CAS: Chinese Academy of Sciences)H-Index: 8
#2Binghui Wang (Iowa State University)H-Index: 10
Last. Dario Farina (Imperial College London)H-Index: 80
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Objective. This paper proposes a novel simultaneous and proportional multiple degree of freedom (DOF) myoelectric control method for active prostheses. Approach. The approach is based on non-negative matrix factorization (NMF) of surface EMG signals with the inclusion of sparseness constraints. By applying a sparseness constraint to the control signal matrix, it is possible to extract the basis information from arbitrary movements (quasi-unsupervised approach) for multiple DOFs concurrently. Mai...
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#1Shenquan Zhang (USTC: University of Science and Technology of China)H-Index: 1
#2Xu Zhang (USTC: University of Science and Technology of China)H-Index: 14
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Motor activities during daily life always involve simultaneous control of multiple degrees of freedom (DOFs), which has not yet been fully explored in myoelectric control due to difficulty in sufficiently decoding the complex neural control information. This study presents a novel framework for simultaneous myoelectric control based on pattern recognition incorporated with a muscle synergy motor control strategy for each DOF. An experiment for discriminating 18 dexterous finger movement tasks wa...
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#1Todd A. Kuiken (Rehabilitation Institute of Chicago)H-Index: 45
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With existing conventional prosthesis control (direct control), individuals with a transradial amputation use two opposing muscle groups to control each prosthesis motor. As component complexity increases, subjects must switch the prosthesis into different modes to control each component in sequence. Pattern recognition control offers the ability to control multiple movements in a seamless manner without switching. In this paper, three individuals with a transradial amputation completed a home t...
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Cited By1
Newest
#2Dapeng Yang (HIT: Harbin Institute of Technology)H-Index: 13
Last. Hong Liu (HIT: Harbin Institute of Technology)H-Index: 18
view all 4 authors...
- It is a question of great import for the dexterous prosthesis to realize its continuous, simultaneous and proportional control of multi-DOFs so that its rehabilitation function can be well achieved and its user acceptance rate can be improved. In this paper, we propose a new method, CNMF-HP, which integrates the constrained non-negative matrix factorization (NMF) and the Hadamard product, for estimating 2-DOF wrist movements (DOF-1, flexion/extension; DOF-2, adduction/abduction) from myoelectr...
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