Myoelectric Control of Artificial Limbs— Is There a Need to Change Focus?

Published on Jan 1, 2012
Ning Jiang31
Estimated H-index: 31
Strahinja Dosen23
Estimated H-index: 23
+ 1 AuthorsDario Farina80
Estimated H-index: 80
SUMMARY AND CONCLUSIONS Myoelectric control has a great poten-tial for improving the quality of life of persons with limb deficiency. However, despite the tremendous success in obtaining almost perfect classification accuracy from EMG, its clinical and commercial impact is still limited. We have identified some of the reasons that we believe are relevant for explaining this seeming contradiction. The major-ity of current pattern classification methods do not provide simultaneous and proportional control, are not imple-mented with sensory feedback, do not adapt to the changes in EMG signal characteristics, and do not integrate other sensor modalities to allow com-plex actions. These problems hinder the possibility of using such paradigm in applications that aim at clinical and commercial use. Academic research has focused in the past decades on refining classification accuracy and has rele-gated to secondary importance the aspects outlined in this article. As such, a gap between the academia and the industry state of the art has been gener-ated unnecessarily. This gap could be filled by addressing the specific needs of intuitive myoelectric control and sys-tem robustness. With this position, we are not questioning the need of further research within pattern classification of EMG. Indeed, three of the four demands that we have identified can be imple-mented within a pattern classification paradigm. Rather, our intention is to raise the awareness for the necessity of additional parallel research efforts toward issues whose importance for practical implementations has been underestimated.
  • References (12)
  • Citations (129)
📖 Papers frequently viewed together
184 Citations
424 Citations
968 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
Each method for imaging brain activity has technical or physiological limits. Thus, combinations of neuroimaging modalities that can alleviate these limitations such as simultaneous recordings of neurophysiological and hemodynamic activity have become increasingly popular. Multimodal imaging setups can take advantage of complementary views on neural activity and enhance our understanding about how neural information processing is reflected in each modality. However, dedicated analysis methods ar...
98 CitationsSource
#1Carmen VidaurreH-Index: 24
#2Claudia SannelliH-Index: 14
Last. Benjamin BlankertzH-Index: 58
view all 4 authors...
Brain-computer interfaces (BCIs) allow users to control a computer application by brain activity as acquired (e.g., by EEG). In our classic machine learning approach to BCIs, the participants undertake a calibration measurement without feedback to acquire data to train the BCI system. After the training, the user can control a BCI and improve the operation through some type of feedback. However, not all BCI users are able to perform sufficiently well during feedback operation. In fact, a nonnegl...
133 CitationsSource
#1Dario Farina (AAU: Aalborg University)H-Index: 80
#2Ales Holobar (University of Maribor)H-Index: 26
Last. Roger M. Enoka (CU: University of Colorado Boulder)H-Index: 75
view all 4 authors...
This brief review discusses the methods used to estimate the neural drive to muscles from the surface electromyogram (EMG). Surface EMG has been classically used to infer the neural activation of muscle by associating its amplitude with the number of action potentials discharged by a population of motor neurons. Although this approach is valuable in some applications, the amplitude of the surface EMG is only a crude indicator of the neural drive to muscle. More advanced methods are now available...
157 CitationsSource
#1Strahinja Dosen (AAU: Aalborg University)H-Index: 23
#2Christian Cipriani (Sant'Anna School of Advanced Studies)H-Index: 33
Last. Dejan B. Popovic (University of Belgrade)H-Index: 39
view all 6 authors...
Background Dexterous prosthetic hands that were developed recently, such as SmartHand and i-LIMB, are highly sophisticated; they have individually controllable fingers and the thumb that is able to abduct/adduct. This flexibility allows implementation of many different grasping strategies, but also requires new control algorithms that can exploit the many degrees of freedom available. The current study presents and tests the operation of a new control method for dexterous prosthetic hands.
55 CitationsSource
#1Paul von Bnau (Technical University of Berlin)H-Index: 10
#2Frank C. Meinecke (Technical University of Berlin)H-Index: 18
Last. Klaus-Robert Müller (Technical University of Berlin)H-Index: 92
view all 4 authors...
Identifying temporally invariant components in complex multivariate time series is key to understanding the underlying dynamical system and predict its future behavior. In this Letter, we propose a novel technique, stationary subspace analysis (SSA), that decomposes a multivariate time series into its stationary and nonstationary part. The method is based on two assumptions: (a) the observed signals are linear superpositions of stationary and nonstationary sources; and (b) the nonstationarity is...
161 CitationsSource
#1Ning Jiang (UNB: University of New Brunswick)H-Index: 31
#2Kevin Englehart (UNB: University of New Brunswick)H-Index: 24
Last. Philip A. Parker (UNB: University of New Brunswick)H-Index: 31
view all 3 authors...
A novel signal processing algorithm for the surface electromyogram (EMG) is proposed to extract simultaneous and proportional control information for multiple DOFs. The algorithm is based on a generative model for the surface EMG. The model assumes that synergistic muscles share spinal neural drives, which correspond to the intended activations of different DOFs of natural movements and are embedded within the surface EMG. A DOF-wise nonnegative matrix factorization (NMF) is developed to estimat...
239 CitationsSource
#1Kevin Englehart (UNB: University of New Brunswick)H-Index: 24
#2B. Hudgins (UNB: University of New Brunswick)H-Index: 6
968 CitationsSource
#1H.A. Ingram (University of Oxford)H-Index: 2
#2P. Van Donkelaar (UO: University of Oregon)H-Index: 3
Last. R. Christopher Miall (University of Oxford)H-Index: 27
view all 6 authors...
The role of proprioception in the control and adaptation of visuomotor relationships is still unclear. We have studied a deafferented subject, IW, and control subjects in a task in which they used single joint elbow extension to move to a visual target, with visual feedback of the terminal position provided by a cursor displayed in the plane of their movements. We report the differences in movement accuracy between the deafferented subject and controls in the normal task and when challenged with...
133 CitationsSource
#1Thomas W. Wright (UR: University of Rochester)H-Index: 38
#2Arlene D. Hagen (UR: University of Rochester)H-Index: 1
Last. Michael B. Wood (UR: University of Rochester)H-Index: 4
view all 3 authors...
Patterns of use of contemporary prostheses by 135 patients with major upper extremity amputations were evaluated by questionnaire. Eighty-four percent of the patients were male and 16% were female. Amputation levels represented were below elbow, 44%; above elbow, 40%; and shoulder disarticulations or forequarter amputations, 16%. The follow-up interval averaged 12 years (range, 1–67 years). One hundred and thirteen patients were fitted with either a myoelectric or body-powered prosthesis. The ov...
147 CitationsSource
: The development of myoelectric control systems for powered limb prostheses has advanced rapidly in recent years. The main thrusts in this development have been in realizing self-contained prostheses and in realizing better prostheses control through improvements in the myoelectric signal processing techniques. This review considers the latter of these two areas. It first presents an historical look at myoelectric signal processing and identifies the problems. It then presents a general look at...
166 Citations
Cited By129
#1Mingxing Lyu (ETH Zurich)H-Index: 3
#2Charles Lambelet (ETH Zurich)H-Index: 2
Last. Nicole Wenderoth (ETH Zurich)H-Index: 46
view all 8 authors...
Abstract Objective Surface electromyography (sEMG) is a potentially useful signal that can provide therapeutic biofeedback. However, sEMG signal processing is difficult because of the low signal-to-noise ratio and non-stationarity of the raw signal. Conventional online filters often suffer from a compromise between smoothness and responsiveness. Here we propose a new particle filtering method for sEMG processing and compare it to established filtering methods. Methods A wrist apparatus measuring...
#1Nili E. KrauszH-Index: 4
#2Denys Lamotte (EPFL: École Polytechnique Fédérale de Lausanne)
Last. Aude Billard (EPFL: École Polytechnique Fédérale de Lausanne)H-Index: 55
view all 6 authors...
We propose a novel controller for powered prosthetic arms, where fused EMG and gaze data predict the desired end-point for a full arm prosthesis, which could drive the forward motion of individual joints. We recorded EMG, gaze, and motiontracking during pick-and-place trials with 7 able-bodied subjects. Subjects positioned an object above a random target on a virtual interface, each completing around 600 trials. On average across all trials and subjects gaze preceded EMG and followed a repeatabl...
#1Maria V. Arteaga (Pontifical Xavierian University)
#2Jenny C. Castiblanco (Pontifical Xavierian University)
Last. Catalina Alvarado-Rojas (Pontifical Xavierian University)H-Index: 11
view all 5 authors...
Abstract The recovery of hand motion is one of the most challenging aspects in stroke rehabilitation. This paper presents an initial approach to robot-assisted hand-motion therapies. Our goal was twofold: firstly, we have applied machine learning methods to identify and characterize finger motion patterns from healthy individuals. To this purpose, Electromyographic (EMG) signals have been acquired from flexor and extensor muscles in the forearm using surface electrodes. Time and frequency featur...
#1Evan Campbell (UNB: University of New Brunswick)H-Index: 3
#2Jason Chang (UNB: University of New Brunswick)
Last. Erik Scheme (UNB: University of New Brunswick)H-Index: 24
view all 4 authors...
Despite decades of research and development of pattern recognition approaches, the clinical usability of myoelectriccontrolled prostheses is still limited. One of the main issues is the high inter-subject variability that necessitates long and frequent user-specific training. Cross-user models present an opportunity to improve clinical viability of myoelectric control systems by leveraging existing data to shorten training. However, due to the difficulty of obtaining large sets of data from ampu...
Abstract One of the most common issue in surface electromyography (sEMG) based myocontrol is to set a recurrent feature which allows to ensure a reliable multi degree of freedom (MDoF) prosthetic drive, mainly due to non-stationary behavior of signal. According to studies, electrode placement and shifts, variation in muscle contraction effort and muscle fatigue are the most common disturbance sources in sEMG recording, which traduces into a cumbersome donning and doffing recalibration. Many rele...
#1Bin Yu (USTC: University of Science and Technology of China)H-Index: 1
#2Xu Zhang (USTC: University of Science and Technology of China)H-Index: 14
Last. Xun Chen (USTC: University of Science and Technology of China)H-Index: 19
view all 5 authors...
Pattern-recognition-based myoelectric control systems are not yet widely available due to their limited robustness in real-life situations. Some postprocessing methods were introduced to improve the robustness in previous studies, but there is lack of investigation into movement transition phases. This article presents a novel postprocessing method based on movement pattern transition (MPT) detection. An image-based index is used to quantify the similarity of adjacent feature matrices from high-...
#1Dapeng Yang (HIT: Harbin Institute of Technology)H-Index: 13
#2Jiaming Li (HIT: Harbin Institute of Technology)H-Index: 1
Last. Hong Liu (HIT: Harbin Institute of Technology)H-Index: 18
view all 4 authors...
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 ...
1 CitationsSource
#1Manelle Merad (University of Paris)H-Index: 5
#2Nathanaël Jarrassé (University of Paris)H-Index: 13
Last. Agnès Roby-Brami (University of Paris)H-Index: 34
view all 10 authors...
Most transhumeral amputated individuals deplore the lack of functionality of their prosthesis due to control-related limitations. Commercialized prosthetic elbows are controlled via myoelectric signals, yielding complex control schemes when users have to control an entire prosthetic limb. Limited control causes the development of compensatory strategies. An alternative control strategy associates residual limb motions to automatize the prosthetic elbow motion using a model of physiological shoul...
#1Antonio Parziale (UNISA: University of Salerno)H-Index: 7
#2Rosa Senatore (UNISA: University of Salerno)H-Index: 5
Last. Angelo Marcelli (UNISA: University of Salerno)H-Index: 12
view all 3 authors...
The tradeoff between speed and accuracy of human movements has been exploited from many different perspectives, such as experimental psychology, workspace design, human–machine interface. This tradeoff is formalized by Fitts’ law, which states a linear relationship between the duration and the difficulty of the movement. The bigger is the required accuracy in reaching a target or farther is the target, the slower has to be the movement. A variety of computational models of neuromusculoskeletal s...
1 CitationsSource
#1Kun-Tae Kim (KU: Korea University)H-Index: 7
#2Cuntai Guan (NTU: Nanyang Technological University)H-Index: 45
Last. Sl WhanH-Index: 42
view all 3 authors...
In recent years, electromyography (EMG)-based practical myoelectric interfaces have been developed to improve the quality of daily life for people with physical disabilities. With these interfaces, it is very important to decode a user’s movement intention, to properly control the external devices. However, improving the performance of these interfaces is difficult due to the high variations in the EMG signal patterns caused by intra-user variability. Therefore, this paper proposes a novel subje...
1 CitationsSource