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https://www.readbyqxmd.com/read/28438166/adjacent-regenerative-peripheral-nerve-interfaces-produce-phase-antagonist-signals-during-voluntary-walking-in-rats
#1
Daniel Ursu, Andrej Nedic, Melanie Urbanchek, Paul Cederna, R Brent Gillespie
BACKGROUND: Regenerative Peripheral Nerve Interfaces (RPNIs) are neurotized muscle grafts intended to produce electromyographic signals suitable for motorized prosthesis control. Two RPNIs producing independent agonist/antagonist signals are required for each control axis; however, it is unknown whether signals from adjacent RPNIs are independent. The purpose of this work was to determine signaling characteristics from two adjacent RPNIs, the first neurotized by a foot dorsi-flexor nerve and the second neurotized by a foot plantar-flexor nerve in a rodent model...
April 24, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28436879/study-on-interaction-between-temporal-and-spatial-information-in-classification-of-emg-signals-in-myoelectric-prostheses
#2
Radhika Menon, Gaetano Di Caterina, Heba Lakany, Lykourgos Petropoulakis, Bernard Conway, John Soraghan
Advanced forearm prosthetic devices employ classifiers to recognize different electromyography (EMG) signal patterns, in order to identify the user's intended motion gesture. The classification accuracy is one of the main determinants of real-time controllability of a prosthetic limb and hence the necessity to achieve as high an accuracy as possible. In this paper, we study the effects of the temporal and spatial information provided to the classifier on its offline performance and analyze their inter-dependencies...
April 19, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28420135/a-prosthetic-hand-body-area-controller-based-on-efficient-pattern-recognition-control-strategies
#3
Simone Benatti, Bojan Milosevic, Elisabetta Farella, Emanuele Gruppioni, Luca Benini
Poliarticulated prosthetic hands represent a powerful tool to restore functionality and improve quality of life for upper limb amputees. Such devices offer, on the same wearable node, sensing and actuation capabilities, which are not equally supported by natural interaction and control strategies. The control in state-of-the-art solutions is still performed mainly through complex encoding of gestures in bursts of contractions of the residual forearm muscles, resulting in a non-intuitive Human-Machine Interface (HMI)...
April 15, 2017: Sensors
https://www.readbyqxmd.com/read/28409497/identification-of-myoelectric-signals-of-pregnant-rat-uterus-new-method-to-detect-myometrial-contraction
#4
Kálmán F Szűcs, György Grosz, Miklós Süle, Anikó Nagy, Zita Tiszai, Reza Samavati, Róbert Gáspár
AIM: To develop an electromyography method for pregnant rat uterus in vivo and to separate myometrial signals from the gastrointestinal tract signals. METHODS: Pregnant Sprague-Dawley rats (n=8) were anaesthetized and their stomach, small intestine, and large intestine were removed from the abdomen. A pair of thread electrodes was inserted into the uterus, while a pair of disk electrodes was placed subcutaneously above the myometrium. Additionally, a strain gauge sensor was fixed on the surface of the myometrium and cecum for the parallel detection of mechanical contractions in rats (n=18) with intact gastrointestinal tract...
April 14, 2017: Croatian Medical Journal
https://www.readbyqxmd.com/read/28373860/advanced-myoelectric-control-for-robotic-hand-assisted-training-outcome-from-a-stroke-patient
#5
Zhiyuan Lu, Kai-Yu Tong, Henry Shin, Sheng Li, Ping Zhou
A hand exoskeleton driven by myoelectric pattern recognition was designed for stroke rehabilitation. It detects and recognizes the user's motion intent based on electromyography (EMG) signals, and then helps the user to accomplish hand motions in real time. The hand exoskeleton can perform six kinds of motions, including the whole hand closing/opening, tripod pinch/opening, and the "gun" sign/opening. A 52-year-old woman, 8 months after stroke, made 20× 2-h visits over 10 weeks to participate in robot-assisted hand training...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28358690/a-framework-of-temporal-spatial-descriptors-based-feature-extraction-for-improved-myoelectric-pattern-recognition
#6
Rami N Khushaba, Ali H Al-Timemy, Ahmed Al-Ani, Adel Al-Jumaily
The extraction of 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 (TDD) in estimating the EMG signal power spectrum characteristics; a step that preserves the computational power required for the construction of spectral features...
March 24, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28355147/glimpse-google-glass-interface-for-sensory-feedback-in-myoelectric-hand-prostheses
#7
Marko Markovic, Hemanth Karnal, Bernhard Graimann, Dario Farina, Strahinja Dosen
OBJECTIVE: Providing sensory feedback to the user of the prosthesis is an important challenge. The common approach is to use tactile stimulation, which is easy to implement but requires training and has limited information bandwidth. In this study, we propose an alternative approach based on augmented reality. APPROACH: We have developed the GLIMPSE, a Google Glass application which connects to the prosthesis via a Bluetooth interface and renders the prosthesis states (EMG signals, aperture, force and contact) using augmented reality (see-through display) and sound (bone conduction transducer)...
March 29, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28325032/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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