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Support Vector Regression for Improved Real-Time, Simultaneous Myoelectric Control

Published on Nov 1, 2014in IEEE Transactions on Neural Systems and Rehabilitation Engineering3.48
· DOI :10.1109/TNSRE.2014.2323576
Ali Ameri4
Estimated H-index: 4
(UNB: University of New Brunswick),
Ernest Nlandu Kamavuako13
Estimated H-index: 13
(AAU: Aalborg University)
+ 2 AuthorsPhilip A. Parker22
Estimated H-index: 22
(UNB: University of New Brunswick)
Cite
Abstract
This study describes the first application of a support vector machine (SVM) based scheme for real-time simultaneous and proportional myoelectric control of multiple degrees of freedom (DOFs). Three DOFs including wrist flexion–extension, abduction–adduction and forearm pronation–supination were investigated with 10 able-bodied subjects and two individuals with transradial limb deficiency (LD). A Fitts' law test involving real-time target acquisition tasks was conducted to compare the usability of the SVM-based control system to that of an artificial neural network (ANN) based method. Performance was assessed using the Fitts' law throughput value as well as additional metrics including completion rate, path efficiency and overshoot. The SVM-based approach outperformed the ANN-based system in every performance measure $(p for able-bodied subjects. The SVM outperformed the ANN in path efficiency and throughput with the first LD subject and in throughput with the second LD subject. The superior performance of the SVM-based system appears to be due to its higher estimation accuracy of all DOFs during inactive and low amplitude segments (these periods were frequent during real-time control). Another advantage of the SVM-based method was that it substantially reduced the processing time for both training and real time control.
  • References (47)
  • Citations (50)
Cite
References47
Newest
Ning Jiang27
Estimated H-index: 27
,
Hubertus Rehbaum8
Estimated H-index: 8
+ 2 AuthorsDario Farina70
Estimated H-index: 70
We propose an approach for online simultaneous and proportional myoelectric control of two degrees-of-freedom (DoF) of the wrist, using surface electromyographic signals. The method is based on the nonnegative matrix factorization (NMF) of the wrist muscle activation to extract low-dimensional control signals translated by the user into kinematic variables. This procedure does not need a training set of signals for which the kinematics is known (labeled dataset) and is thus unsupervised (althoug...
Silvia Muceli18
Estimated H-index: 18
(GAU: University of Göttingen),
Ning Jiang27
Estimated H-index: 27
(GAU: University of Göttingen),
Dario Farina70
Estimated H-index: 70
(GAU: University of Göttingen)
Previous research proposed the extraction of myoelectric control signals by linear factorization of multi-channel electromyogram (EMG) recordings from forearm muscles. This paper further analyses the theoretical basis for dimensionality reduction in high-density EMG signals from forearm muscles. Moreover, it shows that the factorization of muscular activation patterns in weights and activation signals by non-negative matrix factorization (NMF) is robust with respect to the channel configuration ...
Published on Mar 1, 2014in Biomedical Signal Processing and Control2.94
Ernest Nlandu Kamavuako13
Estimated H-index: 13
(AAU: Aalborg University),
Erik Scheme16
Estimated H-index: 16
(UNB: University of New Brunswick),
Kevin Englehart36
Estimated H-index: 36
(UNB: University of New Brunswick)
Abstract The four main functions that are available in current clinical prostheses (e.g. Otto Bock DMC Plus ® ) are power grasp, hand open, wrist pronation and wrist supination. Improving the control of these two DoFs is therefore of great clinical and commercial interest. This study investigates whether control performance can be improved by targeting wrist rotator muscles by means of intramuscular EMG. Nine able-bodied subjects were evaluated using offline metrics and during a real-time contro...
Janne M. Hahne7
Estimated H-index: 7
,
F. Biebmann1
Estimated H-index: 1
+ 5 AuthorsLucas C. Parra46
Estimated H-index: 46
(CCNY: City College of New York)
In recent years the number of active controllable joints in electrically powered hand-prostheses has increased significantly. However, the control strategies for these devices in current clinical use are inadequate as they require separate and sequential control of each degree-of-freedom (DoF). In this study we systematically compare linear and nonlinear regression techniques for an independent, simultaneous and proportional myoelectric control of wrist movements with two DoF. These techniques i...
Published on Feb 1, 2014in IEEE Transactions on Biomedical Engineering4.49
Ali Ameri4
Estimated H-index: 4
(UNB: University of New Brunswick),
Erik Scheme16
Estimated H-index: 16
(UNB: University of New Brunswick)
+ 2 AuthorsPhilip A. Parker22
Estimated H-index: 22
(UNB: University of New Brunswick)
In this paper, the simultaneous real-time control of multiple degrees of freedom (DOF) for myoelectric systems is investigated. The goal of this study, in which ten able-bodied subjects participated, was to directly compare three control paradigms of constrained (force targeted), unconstrained (position targeted) and resisted unconstrained (position targeted) limb contractions. Artificial neural networks (ANNs) were trained for simultaneous myoelectric control of the three degrees of freedom (DO...
Erik Scheme16
Estimated H-index: 16
(UNB: University of New Brunswick),
Blair A. Lock18
Estimated H-index: 18
(Rehabilitation Institute of Chicago)
+ 3 AuthorsKevin Englehart36
Estimated H-index: 36
(UNB: University of New Brunswick)
This paper describes two novel proportional control algorithms for use with pattern recognition-based myoelectric control. The systems were designed to provide automatic configuration of motion-specific gains and to normalize the control space to the user's usable dynamic range. Class-specific normalization parameters were calculated using data collected during classifier training and require no additional user action or configuration. The new control schemes were compared to the standard method...
Ernest Nlandu Kamavuako13
Estimated H-index: 13
(AAU: Aalborg University),
Jakob Celander Rosenvang3
Estimated H-index: 3
(Capgemini)
+ 3 AuthorsKevin Englehart36
Estimated H-index: 36
(UNB: University of New Brunswick)
The pattern recognition-based myoelectric control scheme is in the process of being implemented in clinical settings, but it has been mainly tested on sequential and steady state data. This paper investigates the ability of pattern recognition to resolve movements that are simultaneous and dynamically changing and compares the use of surface and untargeted intramuscular EMG signals for this purpose. Ten able-bodied subjects participated in the study. Both EMG types were recorded concurrently fro...
Published on Jul 1, 2013 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
Lauren H. Smith11
Estimated H-index: 11
(Rehabilitation Institute of Chicago),
Levi J. Hargrove29
Estimated H-index: 29
(Rehabilitation Institute of Chicago)
The simultaneous control of multiple degrees of freedom (DOFs) is important for the intuitive, life-like control of artificial limbs. The objective of this study was to determine whether the use of intramuscular electromyogram (EMG) improved pattern classification of simultaneous wrist/hand movements compared to surface EMG. Two pattern classification methods were used in this analysis, and were trained to predict 1-DOF and 2-DOF movements involving wrist rotation, wrist flexion/extension, and h...
Erik Scheme16
Estimated H-index: 16
(UNB: University of New Brunswick),
Kevin Englehart36
Estimated H-index: 36
(UNB: University of New Brunswick)
When controlling a powered upper limb prosthesis it is important not only to know how to move the device, but also when not to move. A novel approach to pattern recognition control, using a selective multiclass one-versus-one classification scheme has been shown to be capable of rejecting unintended motions. This method was shown to outperform other popular classification schemes when presented with muscle contractions that did not correspond to desired actions. In this work, a 3-D Fitts' Law te...
Published on Apr 1, 2013in Jpo Journal of Prosthetics and Orthotics
Erik Scheme16
Estimated H-index: 16
(UNB: University of New Brunswick),
Kevin Englehart36
Estimated H-index: 36
The performance of pattern recognition based myoelectric control has seen significant interest in the research community for many years. Due to a recent surge in the development of dexterous prosthetic devices, determining the clinical viability of multifunction myoelectric control has become paramount. Several factors contribute to differences between offline classification accuracy and clinical usability, but the overriding theme is that the variability of the elicited patterns increases great...
Cited By50
Newest
Published on Dec 1, 2019
Wing-Kin Tam5
Estimated H-index: 5
(UMN: University of Minnesota),
Tong Wu5
Estimated H-index: 5
(UMN: University of Minnesota)
+ 2 AuthorsZhi Yang15
Estimated H-index: 15
(UMN: University of Minnesota)
Many people suffer from movement disability due to amputation or neurological diseases. Fortunately, with modern neurotechnology now it is possible to intercept motor control signals at various points along the neural transduction pathway and use that to drive external devices for communication or control. Here we will review the latest developments in human motor decoding. We reviewed the various strategies to decode motor intention from human and their respective advantages and challenges. Neu...
Published on Aug 1, 2019in Journal of Electromyography and Kinesiology1.75
Chenyun Dai2
Estimated H-index: 2
,
Ziling Zhu + 3 AuthorsEdward A. Clancy22
Estimated H-index: 22
Abstract Few studies have related the surface electromyogram (EMG) of forearm muscles to two degree of freedom (DoF) hand-wrist forces; ones that have, used large high-density electrode arrays that are impractical for most applied biomechanics research. Hence, we researched EMG-force in two DoFs—hand open-close paired with one wrist DoF—using as few as four conventional electrodes, comparing equidistant placement about the forearm to optimized site selection. Nine subjects produced 1-DoF and 2-D...
Published on Jun 1, 2019in Isa Transactions4.34
Feiyun Xiao (Hefei University of Technology)
Abstract Recent studies have indicated that human motion recognition based on surface electromyography (sEMG) is a reliable and natural method for achieving motion intention. However, achieving accurate estimates of intended motion using a low computational cost is the main challenge in this scenario. In this study, a proportional myoelectric and compensating control method for estimating and assisting human motion intention with a cable-conduit mechanism-driven upper limb exoskeleton was propos...
Published on May 3, 2019in Frontiers in Neuroscience3.65
Xu Zhang10
Estimated H-index: 10
,
Xiao Tang + 3 AuthorsXun Chen
There have always been practical demands for objective and accurate assessment of muscle spasticity beyond its clinical routine. A novel regression-based framework for quantitative assessment of muscle spasticity is proposed in this paper using wearable surface electromyogram (EMG) and inertial sensors combined with a simple examination procedure. Sixteen subjects with elbow flexor or extensor (i.e., biceps brachii muscle or triceps brachii muscle) spasticity and eight healthy subjects were recr...
Published on Apr 1, 2019
Sherif Said1
Estimated H-index: 1
(American University of the Middle East),
M. Sheikh (American University of the Middle East)+ 4 AuthorsA. Nait-ali (Paris 12 Val de Marne University)
In this research paper, customizable wearable robust 3D printed bionic arm been designed and implemented for a right arm. An experimental test has been conducted for a person who has been born without a right arm. A control of a 9 DOF hand is accomplished successfully using EMG signals acquired by MYO armband. Different gestures are recognized and mapped to control different movements of the hand. Basic daily activities have been accomplished after training of that person. The arm is a lightweig...
Chris Wilson Antuvan4
Estimated H-index: 4
(NTU: Nanyang Technological University),
Lorenzo Masia16
Estimated H-index: 16
(UT: University of Twente),
Lorenzo Masia (UT: University of Twente)
Myoelectric-based decoding strategies offer significant advantages in the areas of human-machine interactions because they are intuitive and require less cognitive effort from the users. However, a general drawback in using machine learning techniques for classification is that the decoder is limited to predicting only one movement at any instant and hence restricted to performing the motion in a sequential manner, whereas human motor control strategy involves simultaneous actuation of multiple ...
Published on Feb 1, 2019in Experimental Brain Research1.88
Dapeng Yang10
Estimated H-index: 10
(HIT: Harbin Institute of Technology),
Yikun Gu5
Estimated H-index: 5
(HIT: Harbin Institute of Technology)
+ 1 AuthorsHong Liu13
Estimated H-index: 13
(HIT: Harbin Institute of Technology)
The development of advanced and effective human–machine interfaces, especially for amputees to control their prostheses, is very high priority and a very active area of research. An intuitive control method should retain an adequate level of functionality for dexterous operation, provide robustness against confounding factors, and supply adaptability for diverse long-term usage, all of which are current problems being tackled by researchers. This paper reviews the state-of-the-art, as well as, t...
Published on Jan 1, 2019in Science China-technological Sciences2.18
Yu Zhou1
Estimated H-index: 1
(SJTU: Shanghai Jiao Tong University),
Jingbiao Liu (SJTU: Shanghai Jiao Tong University)+ 2 AuthorsHonghai Liu26
Estimated H-index: 26
(University of Portsmouth)
It is of great importance to decode motion dynamics of the human limbs such as the joint angle and torque in order to improve the functionality and provide more intuitive control in human-machine collaborative systems. In order to achieve feasible prediction, both the surface electromyography (sEMG) and A-mode ultrasound were applied to detect muscle deformation and motor intent. Six abled subjects were recruited to perform five trails elbow isokinetic flexion and extension, and each trail conta...
Published on Dec 1, 2018in Scientific Reports4.01
Andrea Sarasola-Sanz4
Estimated H-index: 4
(University of Tübingen),
Nerea Irastorza-Landa4
Estimated H-index: 4
(University of Tübingen)
+ 4 AuthorsAnder Ramos-Murguialday13
Estimated H-index: 13
(University of Tübingen)
The motor impairment occurring after a stroke is characterized by pathological muscle activation patterns or synergies. However, while robot-aided myoelectric interfaces have been proposed for stroke rehabilitation, they do not address this issue, which might result in inefficient interventions. Here, we present a novel paradigm that relies on the correction of the pathological muscle activity as a way to elicit rehabilitation, even in patients with complete paralysis. Previous studies demonstra...
View next paperMyoelectric signal processing for control of powered limb prostheses