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https://www.readbyqxmd.com/read/28227968/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#1
Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor, Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor, Luke E Osborn, Christopher L Hunt, Nitish V Thakor, Rahul R Kaliki, Joseph L Betthauser
The fundamental objective in non-invasive myoelectric prosthesis control is to determine the user's intended movements from corresponding skin-surface recorded electromyographic (sEMG) activation signals as quickly and accurately as possible. Linear Discriminant Analysis (LDA) has emerged as the de facto standard for real-time movement classification due to its ease of use, calculation speed, and remarkable classification accuracy under controlled training conditions. However, performance of cluster-based methods like LDA for sEMG pattern recognition degrades significantly when real-world testing conditions do not resemble the trained conditions, limiting the utility of myoelectrically controlled prosthesis devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227966/real-time-evaluation-of-a-myoelectric-control-method-for-high-level-upper-limb-amputees-based-on-homologous-leg-movements
#2
Kenneth R Lyons, Sanjay S Joshi, Kenneth R Lyons, Sanjay S Joshi, Sanjay S Joshi, Kenneth R Lyons
Electromyography-based gesture classification methods for control of advanced upper limb prostheses are limited either to individuals with amputations distal to the elbow or to those willing to undergo targeted muscle reinnervation surgery. Based on the natural similarity between gestures of the lower leg and the arm and on established methods in electromyography-based gesture classification, we propose a noninvasive system with which users control an upper limb prosthesis via homologous movements of the leg and foot...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227896/intarsia-sensorized-band-and-textrodes-for-real-time-myoelectric-pattern-recognition
#3
Shannon Brown, Max Ortiz-Catalan, Joel Petersson, Kristian Rodby, Fernando Seoane, Shannon Brown, Max Ortiz-Catalan, Joel Petersson, Kristian Rodby, Fernando Seoane, Max Ortiz-Catalan, Fernando Seoane, Kristian Rodby, Shannon Brown, Joel Petersson
Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation. Self-adhesive Ag/AgCl are the electrodes preferentially used to capture sEMG in short-term studies, however their long-term application is limited. In this study we designed and evaluated a fully integrated smart textile band with electrical connecting tracks knitted with intarsia techniques and knitted textile electrodes. Real-time myoelectric pattern recognition for motor volition and signal-to-noise ratio (SNR) were used to compare its sensing performance versus the conventional Ag-AgCl electrodes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227839/exercise-system-for-eccentric-tibialis-anterior-contraction-to-improve-ambulatory-function
#4
Shota Itoh, Keisuke Kubota, Kunihiro Ogata, Toshiaki Tsuji, Shota Itoh, Keisuke Kubota, Kunihiro Ogata, Toshiaki Tsuji, Toshiaki Tsuji, Keisuke Kubota, Kunihiro Ogata, Shota Itoh
This study has developed a device and system for the exercise of eccentric contraction of the tibialis anterior, with the objective of maintaining ambulatory function. A system was built that allows for exercises of appropriate load and speed, by providing the trainee with force data in the form of visual feedback. An experimental verification with two healthy participants shows small variation in the Myoelectric data during the repetitive exercise. The result suggest the possibility of higher reproducibility of the proposed exercise in comparison with manual exercise...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227744/classification-of-non-weight-bearing-lower-limb-movements-towards-a-potential-treatment-for-phantom-limb-pain-based-on-myoelectric-pattern-recognition
#5
Eva Lendaro, Max Ortiz-Catalan, Eva Lendaro, Max Ortiz-Catalan, Max Ortiz-Catalan, Eva Lendaro
Research in myoelectric pattern recognition (MPR) for the prediction of motor volition has primarily focused on the upper limbs. Recent studies in the lower limbs have mainly concentrated on prosthetic control, while MPR for lower limb rehabilitation purposes has received little attention. In this work we investigated the viability of a MPR system for the prediction of four degrees of freedom controlled in a near natural or physiologically appropriate fashion. We explored three different electrode configurations for acquiring electromyographic (EMG) signals: two targeted (bipolar and monopolar) and one untargeted (electrodes equally spaced axially)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227645/myoelectric-intuitive-control-and-transcutaneous-electrical-stimulation-of-the-forearm-for-vibrotactile-sensation-feedback-applied-to-a-3d-printed-prosthetic-hand
#6
Enrique I Germany, Esteban J Pino, Pablo E Aqueveque, Enrique I Germany, Esteban J Pino, Pablo E Aqueveque, Enrique I Germany, Pablo E Aqueveque, Esteban J Pino
This paper presents the development of a myoelectric prosthetic hand based on a 3D printed model. A myoelectric control strategy based on artificial neural networks is implemented on a microcontroller for online position estimation. Position estimation performance achieves a correlation index of 0.78. Also a study involving transcutaneous electrical stimulation was performed to provide tactile feedback. A series of stimulations with controlled parameters were tested on five able-body subjects. A single channel stimulator was used, positioning the electrodes 8 cm on the wrist over the ulnar and median nerve...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227547/a-low-cost-open-source-compliant-hand-for-enabling-sensorimotor-control-for-people-with-transradial-amputations
#7
Aadeel Akhtar, Kyung Yun Choi, Michael Fatina, Jesse Cornman, Edward Wu, Joseph Sombeck, Chris Yim, Patrick Slade, Jason Lee, Jack Moore, Daniel Gonzales, Alvin Wu, Garrett Anderson, David Rotter, Cliff Shin, Timothy Bretl, Aadeel Akhtar, Kyung Yun Choi, Michael Fatina, Jesse Cornman, Edward Wu, Joseph Sombeck, Chris Yim, Patrick Slade, Jason Lee, Jack Moore, Daniel Gonzales, Alvin Wu, Garrett Anderson, David Rotter, Cliff Shin, Timothy Bretl, Kyung Yun Choi, Michael Fatina, Chris Yim, Jesse Cornman, Alvin Wu, Garrett Anderson, Jason Lee, Edward Wu, Daniel Gonzales, Aadeel Akhtar, David Rotter, Cliff Shin, Timothy Bretl, Patrick Slade, Jack Moore, Joseph Sombeck
In this paper, we describe the design and implementation of a low-cost, open-source prosthetic hand that enables both motor control and sensory feedback for people with transradial amputations. We integrate electromyographic pattern recognition for motor control along with contact reflexes and sensory substitution to provide feedback to the user. Compliant joints allow for robustness to impacts. The entire hand can be built for around $550. This low cost makes research and development of sensorimotor prosthetic hands more accessible to researchers worldwide, while also being affordable for people with amputations in developing nations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226837/a-preliminary-evaluation-of-myoelectrical-energy-distribution-of-the-front-neck-muscles-in-pharyngeal-phase-during-normal-swallowing
#8
Mingxing Zhu, Wanzhang Yang, Oluwarotimi Williams Samuel, Yun Xiang, Jianping Huang, Haiqing Zou, Guanglin Li, Mingxing Zhu, Wanzhang Yang, Oluwarotimi Williams Samuel, Yun Xiang, Jianping Huang, Haiqing Zou, Guanglin Li, Wanzhang Yang, Yun Xiang, Guanglin Li, Haiqing Zou, Jianping Huang, Oluwarotimi Williams Samuel, Mingxing Zhu
Pharyngeal phase is a central hub of swallowing in which food bolus pass through from the oral cavity to the esophageal. Proper understanding of the muscular activities in the pharyngeal phase is useful for assessing swallowing function and the occurrence of dysphagia in humans. In this study, high-density (HD) surface electromyography (sEMG) was used to study the muscular activities in the pharyngeal phase during swallowing tasks involving three healthy male subjects. The root mean square (RMS) of the HD sEMG data was computed by using a series of segmented windows as myoelectrical energy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226836/myoelectric-feature-extraction-using-temporal-spatial-descriptors-for-multifunction-prosthetic-hand-control
#9
Rami N Khushaba, Ali Al-Timemy, Ahmed Al-Ani, Adel Al-Jumaily, Rami N Khushaba, Ali Al-Timemy, Ahmed Al-Ani, Adel Al-Jumaily, Ahmed Al-Ani, Rami N Khushaba, Adel Al-Jumaily, Ali Al-Timemy
We tackle the challenging problem of myoelectric prosthesis control with an improved feature extraction algorithm. The proposed algorithm correlates a set of spectral moments and their nonlinearly mapped version across the temporal and spatial domains to form accurate descriptors of muscular activity. The main processing step involves the extraction of the Electromyogram (EMG) signal power spectrum characteristics directly from the time-domain for each analysis window, a step to preserve the computational power required for the construction of spectral features...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226833/a-new-approach-to-mitigate-the-effect-of-force-variation-on-pattern-recognition-for-myoelectric-control
#10
Xiangxin Li, Rui Xu, Oluwarotimi Williams Samuel, Lan Tian, Haiqing Zou, Xiufeng Zhang, Shixiong Chen, Peng Fang, Guanglin Li, Xiangxin Li, Rui Xu, Oluwarotimi Williams Samuel, Lan Tian, Haiqing Zou, Xiufeng Zhang, Shixiong Chen, Peng Fang, Guanglin Li, Guanglin Li, Shixiong Chen, Peng Fang, Haiqing Zou, Xiangxin Li, Rui Xu, Oluwarotimi Williams Samuel, Lan Tian, Xiufeng Zhang
In myoelectric prosthetic control, the motion classification performance would be decayed if an electromyography (EMG) pattern to be recognized differs significantly from the one used for classifier training. Generally, the training signals are acquired when a subject performs motions with a proper force. In practical use of a myoelectric prosthesis, however, the variation of force levels to do a motion would be inevitable, which will cause a change of EMG patterns. In this study, we proposed a Parallel Classification Strategy consisting of three parallel classifiers created at low, medium, and high force levels, respectively, and designed a regulation to categorize the input signals into corresponding classifiers for pattern recognition...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226642/adaptive-myoelectric-pattern-recognition-for-arm-movement-in-different-positions-using-advanced-online-sequential-extreme-learning-machine
#11
Khairul Anam, Adel Al-Jumaily, Khairul Anam, Adel Al-Jumaily, Adel Al-Jumaily, Khairul Anam
The performance of the myoelectric pattern recognition system sharply decreases when working in various limb positions. The issue can be solved by cumbersome training procedure that can anticipate all possible future situations. However, this procedure will sacrifice the comfort of the user. In addition, many unpredictable scenarios may be met in the future. This paper proposed a new adaptive myoelectric pattern recognition using advance online sequential extreme learning (AOS-ELM) for classification of the hand movements to five different positions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226615/support-vectors-machine-classification-of-surface-electromyography-for-non-invasive-naturally-controlled-hand-prostheses
#12
Karina O A Moura, Gabriela W Favieiro, Alexandre Balbinot, Karina O A Moura, Gabriela W Favieiro, Alexandre Balbinot, Karina O A Moura, Gabriela W Favieiro, Alexandre Balbinot
The scientific researches in human rehabilitation techniques have continually evolved to offer again the mobility and freedom lost to disability. Many systems managed by myoelectric signals intended to mimic the movement of the human arm still have results considered partial, which makes it subject of many researches. The use of Natural Interfaces Signal Processing methods makes possible to design systems capable of offering prosthesis in a more natural and intuitive way. This paper presents a study investigating the use of forearm surface electromyography (sEMG) signals for classification of specific movements of hand using 12 sEMG channels and support vector machine (SVM)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226519/novel-method-to-characterize-upper-limb-movements-based-on-paraconsistent-logic-and-myoelectric-signals
#13
Gabriela W Favieiro, Karina O A Moura, Alexandre Balbinot, Gabriela W Favieiro, Karina O A Moura, Alexandre Balbinot, Karina O A Moura, Gabriela W Favieiro, Alexandre Balbinot
This paper presents a novel method that investigates the use of Paraconsistent Artificial Neural Network (PANN) and upper-limb electromyography signals for classification of movements, due to their intrinsic ability to deal with imprecise, inconsistent and paracomplete data. The preliminary study presents promising results in terms of processing time and accuracy. The average classification accuracy for the developed paraconsistent logic method was 76,0±9,1% for 17 distinguish movements and a classification average processing time of 14 ms per movement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226518/frequency-of-occurrence-of-myoelectric-patterns-to-evaluate-gait-motor-control-strategies-after-hip-replacement-surgery
#14
Valentina Agostini, Francesco Di Nardo, Sandro Fioretti, Laura Burattini, Samanta Rosati, Gabriella Balestra, Marco Knaflitz, Valentina Agostini, Francesco Di Nardo, Sandro Fioretti, Laura Burattini, Samanta Rosati, Gabriella Balestra, Marco Knaflitz, Samanta Rosati, Sandro Fioretti, Gabriella Balestra, Valentina Agostini, Laura Burattini, Marco Knaflitz, Francesco Di Nardo
Gait alterations are observed even years after hip replacement surgery. Such long-lasting alterations may arise from a global change of the motor control strategies. The aim of this work is to investigate the changes in gait motor control strategies of patients after hip replacement surgery by analyzing the frequency of occurrence (OF) of myoelectric activation patterns. We studied five lower limb muscles during gait, in hip prosthesis patients and controls. We found that patients adopt a motor control strategy that tends to prefer "simplified" myoelectric patterns, showing a smaller number of activations within the gait cycle...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28220759/musculoskeletal-model-based-control-interface-mimics-physiologic-hand-dynamics-during-path-tracing-task
#15
Dustin Lee Crouch, Helen Huang
OBJECTIVE: We investigated the feasibility of a novel, customizable, simplified EMG-driven musculoskeletal model for estimating coordinated hand and wrist motions during a real-time path tracing task. APPROACH: A two-degree-of-freedom (DOF) computational musculoskeletal model was implemented for real-time EMG-driven control of a stick figure hand displayed on a computer screen. After 5 to 10 minutes of undirected practice, subjects were given 3 attempts to trace 10 straight paths, one at a time, with the fingertip of the virtual hand...
February 21, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28220147/robustness-of-frequency-division-technique-for-online-myoelectric-pattern-recognition-against-contraction-level-variation
#16
Bahareh Tolooshams, Ning Jiang
Contraction-level invariant surface electromyography pattern recognition introduces the decrease of training time and decreases the limitation of clinical prostheses. This study intended to examine whether a signal pre-processing method named frequency division technique (FDT) for online myoelectric pattern recognition classification is robust against contraction-level variation, and whether this pre-processing method has an advantage over traditional time-domain pattern recognition techniques even in the absence of muscle contraction-level variation...
2017: Frontiers in Bioengineering and Biotechnology
https://www.readbyqxmd.com/read/28220058/semg-sensor-using-polypyrrole-coated-nonwoven-fabric-sheet-for-practical-control-of-prosthetic-hand
#17
Yinlai Jiang, Masami Togane, Baoliang Lu, Hiroshi Yokoi
One of the greatest challenges of using a myoelectric prosthetic hand in daily life is to conveniently measure stable myoelectric signals. This study proposes a novel surface electromyography (sEMG) sensor using polypyrrole-coated nonwoven fabric sheet as electrodes (PPy electrodes) to allow people with disabilities to control prosthetic limbs. The PPy electrodes are sewn on an elastic band to guarantee close contact with the skin and thus reduce the contact electrical impedance between the electrodes and the skin...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28203220/proof-of-concept-of-an-online-emg-based-decoding-of-hand-postures-and-individual-digit-forces-for-prosthetic-hand-control
#18
Alycia Gailey, Panagiotis Artemiadis, Marco Santello
INTRODUCTION: Options currently available to individuals with upper limb loss range from prosthetic hands that can perform many movements, but require more cognitive effort to control, to simpler terminal devices with limited functional abilities. We attempted to address this issue by designing a myoelectric control system to modulate prosthetic hand posture and digit force distribution. METHODS: We recorded surface electromyographic (EMG) signals from five forearm muscles in eight able-bodied subjects while they modulated hand posture and the flexion force distribution of individual fingers...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28199218/surface-emg-and-muscle-fatigue-multi-channel-approaches-to-the-study-of-myoelectric-manifestations-of-muscle-fatigue
#19
Marco Gazzoni, Alberto Botter, Taian Vieira
On a broad view, fatigue is used to indicate a somewhat degree of weariness. On the muscular level, fatigue posits the reduced capacity of muscle fibres to produce force, even in the presence of motor neuron excitation via either spinal mechanisms or electric pulses applied externally. Prior to decreased force, when sustaining physically demanding tasks, alterations in the muscle electrical properties take place. These alterations, termed myoelectric manifestation of fatigue, can be assessed non-invasively with a pair of surface electrodes positioned appropriately on the target muscle; traditional approach...
February 15, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28183689/game-based-rehabilitation-for-myoelectric-prosthesis-control
#20
Cosima Prahm, Ivan Vujaklija, Fares Kayali, Peter Purgathofer, Oskar C Aszmann
BACKGROUND: A high number of upper extremity myoelectric prosthesis users abandon their devices due to difficulties in prosthesis control and lack of motivation to train in absence of a physiotherapist. Virtual training systems, in the form of video games, provide patients with an entertaining and intuitive method for improved muscle coordination and improved overall control. Complementary to established rehabilitation protocols, it is highly beneficial for this virtual training process to start even before receiving the final prosthesis, and to be continued at home for as long as needed...
February 9, 2017: JMIR Serious Games
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