Match!

Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control

Published on Dec 1, 2018in Journal of Neuroengineering and Rehabilitation3.582
· DOI :10.1186/s12984-018-0361-3
Linda Resnik23
Estimated H-index: 23
(Brown University),
He Huang23
Estimated H-index: 23
(UNC: University of North Carolina at Chapel Hill)
+ 3 AuthorsNancy Wolk1
Estimated H-index: 1
(UNC: University of North Carolina at Chapel Hill)
Sources
Abstract
Background Although electromyogram (EMG) pattern recognition (PR) for multifunctional upper limb prosthesis control has been reported for decades, the clinical benefits have rarely been examined. The study purposes were to: 1) compare self-report and performance outcomes of a transradial amputee immediately after training and one week after training of direct myoelectric control and EMG pattern recognition (PR) for a two-degree-of-freedom (DOF) prosthesis, and 2) examine the change in outcomes one week after pattern recognition training and the rate of skill acquisition in two subjects with transradial amputations.
Figures & Tables
  • References (49)
  • Citations (14)
📖 Papers frequently viewed together
56 Citations
427 Citations
277 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
References49
Newest
#1Adenike A. Adewuyi (NU: Northwestern University)H-Index: 5
#2Levi J. Hargrove (NU: Northwestern University)H-Index: 33
Last. Todd A. KuikenH-Index: 43
view all 3 authors...
Background The use of pattern recognition-based methods to control myoelectric upper-limb prostheses has been well studied in individuals with high-level amputations but few studies have demonstrated that it is suitable for partial-hand amputees, who often possess a functional wrist. This study’s objective was to evaluate strategies that allow partial-hand amputees to control a prosthetic hand while allowing retain wrist function.
7 CitationsSource
#1Levi J. Hargrove (NU: Northwestern University)H-Index: 33
#2Laura A. Miller (NU: Northwestern University)H-Index: 16
Last. Todd A. Kuiken (NU: Northwestern University)H-Index: 43
view all 4 authors...
Recently commercialized powered prosthetic arm systems hold great potential in restoring function for people with upper-limb loss. However, effective use of such devices remains limited by conventional (direct) control methods, which rely on electromyographic signals produced from a limited set of muscles. Targeted Muscle Reinnervation (TMR) is a nerve transfer procedure that creates additional recording sites for myoelectric prosthesis control. The effects of TMR may be enhanced when paired wit...
30 CitationsSource
#1Rami N. Khushaba (Information Technology University)H-Index: 19
#2Ali H. Al-Timemy (UOB: University of Baghdad)H-Index: 7
Last. Adel Al-Jumaily (Information Technology University)H-Index: 16
view all 4 authors...
The extraction of the accurate and efficient descriptors of muscular activity plays an important role in tackling the challenging problem of myoelectric control of powered prostheses. In this paper, we present a new feature extraction framework that aims to give an enhanced representation of muscular activities through increasing the amount of information that can be extracted from individual and combined electromyogram (EMG) channels. We propose to use time-domain descriptors (TDDs) in estimati...
16 CitationsSource
#1Xiaolong Zhai (CityU: City University of Hong Kong)H-Index: 3
#2Beth Jelfs (CityU: City University of Hong Kong)H-Index: 10
Last. Chung Tin (CityU: City University of Hong Kong)H-Index: 11
view all 4 authors...
Hand movement classification based on surface electromyography (sEMG) pattern recognition is a promising approach for upper limb neuroprosthetic control. However, maintaining day-to-day performance is challenged by the non-stationary nature of sEMG in real-life operation. In this study, we propose a self-recalibrating classifier that can be automatically updated to maintain a stable performance over time without the need for user retraining. Our classifier is based on convolutional neural networ...
55 CitationsSource
#1Niclas Nilsson (Chalmers University of Technology)H-Index: 1
#2Bo Håkansson (Chalmers University of Technology)H-Index: 28
Last. Max Ortiz-Catalan (Chalmers University of Technology)H-Index: 11
view all 3 authors...
Background: Limb prosthetics, exoskeletons, and neurorehabilitation devices can be intuitively controlled using myoelectric pattern recognition (MPR) to decode the subject's intended movement. In conventional MPR, descriptive electromyography (EMG) features representing the intended movement are fed into a classification algorithm. The separability of the different movements in the feature space significantly affects the classification complexity. Classification complexity estimating algorithms ...
6 CitationsSource
#1Qi HuangH-Index: 5
#2Dapeng YangH-Index: 12
Last. Kiyoshi KotaniH-Index: 15
view all 6 authors...
Performance degradation will be caused by a variety of interfering factors for pattern recognition-based myoelectric control methods in the long term. This paper proposes an adaptive learning method with low computational cost to mitigate the effect in unsupervised adaptive learning scenarios. We presents a particle adaptive classifier (PAC), by constructing a particle adaptive learning strategy and universal incremental least square support vector classifier (LS-SVC). We compared PAC performanc...
13 CitationsSource
#1Marina M.-C. Vidovic (Technical University of Berlin)H-Index: 4
#2Han-Jeong Hwang (Technical University of Berlin)H-Index: 16
Last. Klaus-Robert Müller (Technical University of Berlin)H-Index: 4
view all 6 authors...
Fundamental changes over time of surface EMG signal characteristics are a challenge for myocontrol algorithms controlling prosthetic devices. These changes are generally caused by electrode shifts after donning and doffing, sweating, additional weight or varying arm positions, which results in a change of the signal distribution - a scenario often referred to as covariate shift. A substantial decrease in classification accuracy due to these factors hinders the possibility to directly translate E...
29 CitationsSource
#1Francesca Cordella (Università Campus Bio-Medico)H-Index: 6
#2Anna Lisa Ciancio (Università Campus Bio-Medico)H-Index: 7
Last. Loredana Zollo (Università Campus Bio-Medico)H-Index: 18
view all 7 authors...
The loss of one hand can significantly affect the level of autonomy and the capability of performing daily living, working and social activities. The current prosthetic solutions contribute in a poor way to overcome these problems due to the limitations of the interfaces adopted for controlling the prosthesis and to the absence of force or tactile feedback which limit the hand grasp capabilities. In order to provide indications for further developments in the prosthetic field to increase user sa...
98 CitationsSource
#1Todd A. Kuiken (Rehabilitation Institute of Chicago)H-Index: 43
#2Laura A. Miller (Rehabilitation Institute of Chicago)H-Index: 16
Last. Levi J. Hargrove (Rehabilitation Institute of Chicago)H-Index: 33
view all 4 authors...
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...
25 CitationsSource
#1Linda Resnik (Brown University)H-Index: 23
#2Matthew Borgia (VA: United States Department of Veterans Affairs)H-Index: 11
Abstract Objectives To examine the internal consistency, test-retest reliability, validity, and responsiveness of the shortened version of the Disabilities of the Arm, Shoulder and Hand (QuickDASH) questionnaire in persons with upper limb amputation. Design Cross-sectional and longitudinal. Setting Three sites participating in the U.S. Department of Veterans Affairs Home Study of the DEKA Arm. Participants A convenience sample of upper limb amputees (N=44). Interventions Training with a multifun...
14 CitationsSource
Cited By14
Newest
#1Matteo Cognolato (ETH Zurich)H-Index: 4
#2Arjan Gijsberts (IIT: Istituto Italiano di Tecnologia)H-Index: 13
Last. Franco BassettoH-Index: 19
view all 14 authors...
A hand amputation is a highly disabling event, having severe physical and psychological repercussions on a person’s life. Despite extensive efforts devoted to restoring the missing functionality via dexterous myoelectric hand prostheses, natural and robust control usable in everyday life is still challenging. Novel techniques have been proposed to overcome the current limitations, among them the fusion of surface electromyography with other sources of contextual information. We present a dataset...
1 CitationsSource
#2Xiaorong GuanH-Index: 2
Last. Cheng XuH-Index: 2
view all 4 authors...
To study the relationship between surface electromyography (sEMG) and joint movement, and to provide reliable reference information for the exoskeleton control, the sEMG and the corresponding movement of the knee during the normal walking of adults have been measured. After processing the experimental data, the estimation model for knee movement from sEMG was established using the novel method of random forest with principal component analysis (RFPCA). The influence of the sample size and the pr...
Source
#2Nayan M. KakotyH-Index: 4
view all 4 authors...
Motor functions of human hand during daily living activities involve multiple finger movements, which has not yet been fully explored for electromyogram (EMG) based prosthesis control. This paper presents a framework based on forearm muscle synergy for recognition of finger movement using four channel EMG. With five normal-limbed subjects, synergy of four forearm muscles was estimated for five finger movements through non-negative matrix factorization of EMG feature. Using leave-one-patient-out ...
Source
#1Carles IgualH-Index: 1
Last. Jorge IgualH-Index: 10
view all 4 authors...
State-of-the-art high-end prostheses are electro-mechanically able to provide a great variety of movements. Nevertheless, in order to functionally replace a human limb, it is essential that each movement is properly controlled. This is the goal of prosthesis control, which has become a growing research field in the last decades, with the ultimate goal of reproducing biological limb control. Therefore, exploration and development of prosthesis control are crucial to improve many aspects of an amp...
Source
#1Matteo Cognolato (University of Applied Sciences Western Switzerland)H-Index: 4
#2Arjan Gijsberts (IIT: Istituto Italiano di Tecnologia)H-Index: 13
Last. Henning Müller (University of Applied Sciences Western Switzerland)H-Index: 47
view all 14 authors...
Hand amputation is a highly disabling event, having severe physical and psychological repercussions on a person9s life. Despite extensive efforts devoted to restoring the missing functionality via dexterous myoelectric hand prostheses, natural and robust control usable in everyday life is still challenging. Novel techniques have been proposed to overcome the current limitations, among which the fusion of surface electromyography with other sources of contextual information. We present a dataset ...
1 CitationsSource
#1Jose Alejandro Amezquita-Garcia (UABC: Autonomous University of Baja California)
#2Miguel Bravo-Zanoguera (UABC: Autonomous University of Baja California)H-Index: 3
Last. R. Lopez-Avitia (UABC: Autonomous University of Baja California)H-Index: 2
view all 4 authors...
Surface electromyography (sEMG) signals offer information on the natural control of muscle contraction but struggle to identify temporal pattern parameters for several degrees of motion of voluntary hand movements. The complex nature of these signals renders the movement prediction task difficult; therefore, feature extraction and selection algorithms are a natural choice to transform time domain data into a new space domain to enhance recognition. The purpose of this work was to conduct an anal...
Source
OBJECTIVE: To describe users' and therapists' opinions on multi-function myoelectric upper limb prostheses with conventional control and pattern recognition control. DESIGN: Qualitative interview study. SETTINGS: Two rehabilitation institutions in the Netherlands and one in Austria. SUBJECTS: The study cohort consisted of 15 prosthesis users (13 males, mean age: 43.7 years, average experience with multi-function prosthesis: 3.15 years) and seven therapists (one male, mean age: 44.1 years, averag...
Source
#1Morten B. Kristoffersen (UMCG: University Medical Center Groningen)H-Index: 2
#2Andreas Franzke (UMCG: University Medical Center Groningen)
Last. Raoul M. Bongers (UMCG: University Medical Center Groningen)H-Index: 19
view all 5 authors...
Human-machine interfaces have not yet advanced to enable intuitive control of multiple degrees of freedom as offered by modern myoelectric prosthetic hands. Pattern Recognition (PR) control has been proposed to make human-machine interfaces in myoelectric prosthetic hands more intuitive, but it requires the user to generate high-quality, i.e., consistent and separable, electromyogram (EMG) patterns. To generate such patterns, user training is required and has shown promising results. However, ho...
Source
#1Chen Chen (SJTU: Shanghai Jiao Tong University)H-Index: 1
#2Shihan Ma (SJTU: Shanghai Jiao Tong University)
Last. Xiangyang Zhu (SJTU: Shanghai Jiao Tong University)H-Index: 23
view all 4 authors...
The aim of the study was to apply the real-time surface electromyography (EMG) decomposition to the continuous estimation of grasp kinematics. A real-time decomposition scheme based on the convolutional compensation kernel algorithm was proposed. High-density surface EMG signals and grasp kinematics were recorded concurrently from five able-bodied subject. The electro-mechanical delay between identified motor unit activities and grasp kinematics was characterized and utilized to optimize the mul...
Source
#1Marcella A Kelley (Johns Hopkins University)
#2Heather L. Benz (CDRH: Center for Devices and Radiological Health)H-Index: 7
Last. John F. P. Bridges (Johns Hopkins University)H-Index: 29
view all 4 authors...
ABSTRACTObjectives: Novel connective and control methods between an upper limb prosthetic device and end-user have large potential rewards and risks, making economic evaluation difficult.Methods: W...
Source