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https://www.readbyqxmd.com/read/28325032/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
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/28324950/a-preliminary-evaluation-of-myoelectrical-energy-distribution-of-the-front-neck-muscles-in-pharyngeal-phase-during-normal-swallowing
#2
Mingxing Zhu, Wanzhang Yang, Oluwarotimi Williams Samuel, Yun Xiang, Jianping Huang, Haiqing Zou, Guanglin Li
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/28320673/imu-based-wrist-rotation-control-of-a-transradial-myoelectric-prosthesis
#3
Daniel A Bennett, Michael Goldfarb
This paper describes a control method intended to fa-cilitate improved control of a myoelectric prosthesis containing a wrist rotator. Rather than exclusively utilize electromyogram (EMG) for the control of all myoelectric components (e.g., a hand and a wrist), the proposed controller utilizes inertial measurement (from 6-axis inertial measurement unit, or IMU) to sense upper arm ab/adduction, and uses this input to command a wrist rotation velocity. As such, the controller essentially substitutes shoulder ab/adduction in place of agonist/antagonist EMG to control wrist angular velocity, which preserves EMG for control of the hand (or other arm components)...
March 15, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28319897/dialysis-membrane-enforced-microelectrode-array-measurement-of-diverse-gut-electrical-activity
#4
Naoko Iwata, Takumi Fujimura, Chiho Takai, Kei Odani, Shin Kawano, Shinsuke Nakayama
A variety of electrical activities occur depending on the functional state in each section of the gut, but the application of microelectrode array (MEA) is rather limited. We thus developed a dialysis membranes-enforced technique to investigate diverse and complex spatio-temporal electrical activity in the gut. Muscle sheets isolated from the gastrointestinal (GI) tract of mice along with a piece of dialysis membrane were woven over and under the strings to fix them to the anchor rig, and mounted on an 8×8 MEA (inter-electrode distance=150µm)...
March 16, 2017: Biosensors & Bioelectronics
https://www.readbyqxmd.com/read/28306516/identification-and-classification-of-upper-limb-motions-using-pca
#5
Karan Veer, Renu Vig
This paper describes the utility of principal component analysis (PCA) in classifying upper limb signals. PCA is a powerful tool for analyzing data of high dimension. Here, two different input strategies were explored. The first method uses upper arm dual-position-based myoelectric signal acquisition and the other solely uses PCA for classifying surface electromyogram (SEMG) signals. SEMG data from the biceps and the triceps brachii muscles and four independent muscle activities of the upper arm were measured in seven subjects (total dataset=56)...
March 15, 2017: Biomedizinische Technik. Biomedical Engineering
https://www.readbyqxmd.com/read/28301512/adaptation-to-random-and-systematic-errors-comparison-of-amputee-and-non-amputee-control-interfaces-with-varying-levels-of-process-noise
#6
Reva E Johnson, Konrad P Kording, Levi J Hargrove, Jonathon W Sensinger
The objective of this study was to understand how people adapt to errors when using a myoelectric control interface. We compared adaptation across 1) non-amputee subjects using joint angle, joint torque, and myoelectric control interfaces, and 2) amputee subjects using myoelectric control interfaces with residual and intact limbs (five total control interface conditions). We measured trial-by-trial adaptation to self-generated errors and random perturbations during a virtual, single degree-of-freedom task with two levels of feedback uncertainty, and evaluated adaptation by fitting a hierarchical Kalman filter model...
2017: PloS One
https://www.readbyqxmd.com/read/28278474/exploiting-knowledge-composition-to-improve-real-life-hand-prosthetic-control
#7
Gauravkumar Patel, Markus Nowak, Claudio Castellini
In myoelectric prosthesis control, one of the hottest topics nowadays is enforcing simultaneous and proportional (s/p) control over several degrees of freedom. This problem is particularly hard and the scientific community has so far failed to provide a stable and reliable s/p control, effective in daily-life activities. In order to improve the reliability of this form of control, in this work we propose on-the-fly knowledge composition, thereby reducing the burden of matching several patterns at the same time, and simplifying the task of the system...
March 1, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28269817/features-extraction-and-multi-classification-of-semg-using-a-gpu-accelerated-ga-mlp-hybrid-algorithm
#8
Weizhen Luo, Zhongnan Zhang, Tingxi Wen, Chunfeng Li, Ziheng Luo
BACKGROUND: Surface electromyography (sEMG) signal is the combined effect of superficial muscle EMG and neural electrical activity. In recent years, researchers did large amount of human-machine system studies by using the physiological signals as control signals. OBJECTIVE: To develop and test a new multi-classification method to improve performance of analyzing sEMG signals based on public sEMG dataset. METHODS: First, ten features were selected as candidate features...
2017: Journal of X-ray Science and Technology
https://www.readbyqxmd.com/read/28269705/real-time-evaluation-of-a-myoelectric-control-method-for-high-level-upper-limb-amputees-based-on-homologous-leg-movements
#9
Kenneth R Lyons, Sanjay S Joshi
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/28269638/intarsia-sensorized-band-and-textrodes-for-real-time-myoelectric-pattern-recognition
#10
Shannon Brown, Max Ortiz-Catalan, Joel Petersson, Kristian Rodby, Fernando Seoane
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/28269583/exercise-system-for-eccentric-tibialis-anterior-contraction-to-improve-ambulatory-function
#11
Shota Itoh, Keisuke Kubota, Kunihiro Ogata, Toshiaki Tsuji
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/28269492/classification-of-non-weight-bearing-lower-limb-movements-towards-a-potential-treatment-for-phantom-limb-pain-based-on-myoelectric-pattern-recognition
#12
Eva Lendaro, Max Ortiz-Catalan
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/28269402/myoelectric-intuitive-control-and-transcutaneous-electrical-stimulation-of-the-forearm-for-vibrotactile-sensation-feedback-applied-to-a-3d-printed-prosthetic-hand
#13
Enrique I Germany, Esteban J Pino, Pablo E Aqueveque
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/28268654/myoelectric-feature-extraction-using-temporal-spatial-descriptors-for-multifunction-prosthetic-hand-control
#14
Rami N Khushaba, Ali Al-Timemy, Ahmed Al-Ani, Adel Al-Jumaily
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/28268651/a-new-approach-to-mitigate-the-effect-of-force-variation-on-pattern-recognition-for-myoelectric-control
#15
Xiangxin Li, Rui Xu, Oluwarotimi Williams Samuel, Lan Tian, Haiqing Zou, Xiufeng Zhang, Shixiong Chen, Peng Fang, Guanglin Li
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/28268469/adaptive-myoelectric-pattern-recognition-for-arm-movement-in-different-positions-using-advanced-online-sequential-extreme-learning-machine
#16
Khairul Anam, Adel Al-Jumaily
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/28268444/support-vectors-machine-classification-of-surface-electromyography-for-non-invasive-naturally-controlled-hand-prostheses
#17
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/28268356/novel-method-to-characterize-upper-limb-movements-based-on-paraconsistent-logic-and-myoelectric-signals
#18
Gabriela W Favieiro, Karina O A Moura, 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/28268355/frequency-of-occurrence-of-myoelectric-patterns-to-evaluate-gait-motor-control-strategies-after-hip-replacement-surgery
#19
Valentina Agostini, Francesco Di Nardo, Sandro Fioretti, Laura Burattini, Samanta Rosati, Gabriella Balestra, Marco Knaflitz
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/28263409/cryotherapy-induces-an-increase-in-muscle-stiffness
#20
Maxime Point, Gaël Guilhem, François Hug, Antoine Nordez, Alain Frey, Lilian Lacourpaille
Although cold application (i.e., cryotherapy) may be useful to treat sports injuries and to prevent muscle damage, it is unclear whether it has adverse effects on muscle mechanical properties. This study aimed to determine the effect of air-pulsed cryotherapy on muscle stiffness estimated using ultrasound shear wave elastography. Myoelectrical activity, ankle passive torque, shear modulus (an index of stiffness) and muscle temperature of the gastrocnemius medialis were measured before, during an air-pulsed cryotherapy (-30°) treatment of 4 sets of 4 minutes with 1 min recovery in between, and during a 40-min post-cryotherapy period...
March 6, 2017: Scandinavian Journal of Medicine & Science in Sports
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