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https://www.readbyqxmd.com/read/28817708/timing-and-extent-of-finger-force-enslaving-during-a-dynamic-force-task-cannot-be-explained-by-emg-activity-patterns
#1
Mojtaba Mirakhorlo, Huub Maas, DirkJan H E J Veeger
Finger enslaving is defined as the inability of the fingers to move or to produce force independently. Such finger enslaving has predominantly been investigated for isometric force tasks. The aim of this study was to assess whether the extent of force enslaving is dependent on relative finger movements. Ten right-handed subjects (22-30 years) flexed the index finger while counteracting constant resistance forces (4, 6 and 8 N) orthogonal to the fingertip. The other, non-instructed fingers were held in extension...
2017: PloS One
https://www.readbyqxmd.com/read/28816944/acute-changes-in-neuromuscular-activity-in-vertical-jump-and-flexibility-after-exposure-to-whole-body-vibration
#2
Giuseppe Annino, Ferdinando Iellamo, Francesco Palazzo, Augusto Fusco, Mauro Lombardo, Francesca Campoli, Elvira Padua
This study was aimed to investigate the neuromuscular activity after 10 minutes of exposure to a whole body vibration (WBV) session.Twenty male young adults (24.8 ± 2.5 year olds) were randomized and divided into 2 groups: the vibration group (VG) was exposed to 10 minutes of WBV at 35 Hz; performed 10 minutes of WBV at 35 Hz (displacement = 5 mm; magnitude = 5 g); the nonvibrated group (NVG) was the placebo group that maintained the same position on the plate but without exposure to any type of vibration...
August 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28815863/decoding-fmri-events-in-sensorimotor-motor-network-using-sparse-paradigm-free-mapping-and-activation-likelihood-estimates
#3
Francisca M Tan, César Caballero-Gaudes, Karen J Mullinger, Siu-Yeung Cho, Yaping Zhang, Ian L Dryden, Susan T Francis, Penny A Gowland
Most functional MRI (fMRI) studies map task-driven brain activity using a block or event-related paradigm. Sparse paradigm free mapping (SPFM) can detect the onset and spatial distribution of BOLD events in the brain without prior timing information, but relating the detected events to brain function remains a challenge. In this study, we developed a decoding method for SPFM using a coordinate-based meta-analysis method of activation likelihood estimation (ALE). We defined meta-maps of statistically significant ALE values that correspond to types of events and calculated a summation overlap between the normalized meta-maps and SPFM maps...
August 16, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28815834/innervation-of-the-human-posterior-cricoarytenoid-muscle-by-the-external-branch-of-the-superior-laryngeal-nerve
#4
Mehmet Uludag, Nurcihan Aygun, Kinyas Kartal, Evren Besler, Adnan Isgor
BACKGROUND: The posterior cricoarytenoid muscle is the abductor muscle for the vocal cords and is innerved by the recurrent laryngeal nerve (RLN). The purpose of this study was to present our determination if the external branch of the superior laryngeal nerve (SLN) contributes to the motor innervation of the posterior cricoarytenoid muscle. METHODS: We performed electromyographies (EMGs) via needle electrodes on 47 posterior cricoarytenoid muscles from 28 patients during thyroidectomy (9 lobectomies and 19 total thyroidectomies) with intraoperative neural monitoring...
August 17, 2017: Head & Neck
https://www.readbyqxmd.com/read/28815342/development-of-a-novel-detachable-magnetic-nerve-stimulator-for-intraoperative-neuromonitoring
#5
Eui-Suk Sung, Jin-Choon Lee, Sung-Chan Shin, Sung-Won Choi, Da-Woon Jung, Byung-Joo Lee
BACKGROUND: Recurrent laryngeal nerve (RLN) palsy is a serious complication of thyroid surgery. During intraoperative neuromonitoring (IONM) of the RLN in thyroid surgery, repeated shifting between surgical instruments and the nerve stimulator is cumbersome and time-consuming. Therefore, we developed a simple detachable magnetic nerve stimulator that may be connected to all metallic surgical instruments. This study aimed to investigate the feasibility and efficacy of this detachable magnetic nerve stimulator for IONM in a porcine model and humans...
August 16, 2017: World Journal of Surgery
https://www.readbyqxmd.com/read/28815241/-effect-of-estrogen-on-genioglossus-and-hypoglossal-nucleus-of-female-rats
#6
Bing-Cheng Sun, Lei Liu, Lin Yang, Min Zou, Yu-Xia Hou
PUEPOSE: To study the hypoglossal nucleus spontaneous discharge and genioglossus function of SD rats with different estrogen levels, and explore the possible central pathways of estrogen protecting upper airway stability. METHODS: Thirty SD rats were randomly divided into 3 groups: sham operation group (Sham), ovariectomized group (OVX) and ovariectomized + estrogen covering group (OVX+E2). The hypoglossal nucleus spontaneous discharge frequency and maximum amplitude of spontaneous discharge were measured with extracellular recording technique;BL-420 biological was used to detect the genioglossus EMG and contraction...
April 2017: Shanghai Kou Qiang Yi Xue, Shanghai Journal of Stomatology
https://www.readbyqxmd.com/read/28814053/mobio-a-5-dof-trans-humeral-robotic-prosthesis
#7
R Achintha M Abayasiri, D G Kanishka Madusanka, N M P Arachchige, A T S Silva, R A R C Gopura
In this paper, a 5 DOF trans-humeral robotic prosthesis: MoBio is proposed. MoBio includes 2 DOF at wrist which is rare in other trans-humeral prostheses. Through anthropometric features MoBio prosthetic arm can achieve elbow flexion/extension, forearm supination/pronation, wrist radial/ulnar deviation, wrist flexion/extension and compound motion of thumb and index finger. An EMG based control method which uses EMG signals of the biceps brachii and triceps brachii, is used with a motion switching mechanism to control the prosthesis...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814052/grasp-specific-and-user-friendly-interface-design-for-myoelectric-hand-prostheses
#8
Alireza Mohammadi, Jim Lavranos, Rob Howe, Peter Choong, Denny Oetomo
This paper presents the design and characterisation of a hand prosthesis and its user interface, focusing on performing the most commonly used grasps in activities of daily living (ADLs). Since the operation of a multi-articulated powered hand prosthesis is difficult to learn and master, there is a significant rate of abandonment by amputees in preference for simpler devices. In choosing so, amputees chose to live with fewer features in their prosthesis that would more reliably perform the basic operations...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814047/a-simple-tool-to-measure-spasticity-in-spinal-cord-injury-subjects
#9
Arash Arami, Nevio L Tagliamonte, Federica Tamburella, Hsieng-Yung Huang, Marco Molinari, Etienne Burdet
This work presents a wearable device and the algorithms for quantitative modelling of joint spasticity and its application in a pilot group of subjects with different levels of spinal cord injury. The device comprises light-weight instrumented handles to measure the interaction force between the subject and the physical therapist performing the tests, EMG sensors and inertial measurement units to measure muscle activity and joint kinematics. Experimental tests included the passive movement of different body segments, where the spasticity was expected, at different velocities...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814040/training-wrist-extensor-function-and-detecting-unwanted-movement-strategies-in-an-emg-controlled-visuomotor-task
#10
Mingxing Lyu, Charles Lambelet, Daniel Woolley, Xue Zhang, Weihai Chen, Xilun Ding, Roger Gassert, Nicole Wenderoth
Stroke patients often suffer from severe upper limb paresis. Rehabilitation treatment typically targets motor impairments as early as possible, however, muscular contractions, particularly in the wrist and fingers, are often too weak to produce overt movements, making the initial phase of rehabilitation training difficult. Here we propose a new training tool whereby electromyographic (EMG) activity is measured in the wrist extensors and serves as a proxy of voluntary corticomotor drive. We used the Myo armband to develop a proportional EMG controller which allowed volunteers to perform a simple visuomotor task by modulating wrist extensor activity...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814035/decoding-of-individual-finger-movements-from-surface-emg-signals-using-vector-autoregressive-hierarchical-hidden-markov-models-varhhmm
#11
Nebojsa Malesevic, Dimitrije Markovic, Gunter Kanitz, Marco Controzzi, Christian Cipriani, Christian Antfolk
In this paper we present a novel method for predicting individual fingers movements from surface electromyography (EMG). The method is intended for real-time dexterous control of a multifunctional prosthetic hand device. The EMG data was recorded using 16 single-ended channels positioned on the forearm of healthy participants. Synchronously with the EMG recording, the subjects performed consecutive finger movements based on the visual cues. Our algorithm could be described in following steps: extracting mean average value (MAV) of the EMG to be used as the feature for classification, piece-wise linear modeling of EMG feature dynamics, implementation of hierarchical hidden Markov models (HHMM) to capture transitions between linear models, and implementation of Bayesian inference as the classifier...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814015/postoperative-healing-patterns-in-elbow-using-electromyography-towards-the-development-of-a-wearable-mechatronic-elbow-brace
#12
Raneem Haddara, Yue Zhou, Shrikant Chinchalkar, Ana Luisa Trejos
Musculoskeletal (MSK) conditions are the most common cause of severe long-term pain and physical disability. Current postoperative treatment for patients requires them to follow a long-term physiotherapy program customized for each specific case; however, this process can be complex, time-consuming and without the right therapy it may end up being ineffective. A possible solution involves the development of wearable mechatronic elbow braces that use electromyography (EMG) to identify patient intent. However, EMG characteristics change based on the health of the individual and therefore require further investigation...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814007/embroidered-archimedean-spiral-electrodes-for-contactless-prosthetic-control
#13
Andrew Mangezi, Andre Rosendo, Matthew Howard, Riaan Stopforth
With continuous advancements on active prosthetics the detection of the user's intention becomes the new technological bottleneck. While electromyography (EMG) is widely used to detect individual muscular contributions, sweat and relative sensor movements degrade the quality of the signal over time. In this paper, we bypass the problems created with the skin contact analyzing the muscular activation with Archimedean Spiral (AS) electrodes. We compare traditional EMG electrodes with AS electrodes, stacked up in textile embroidered layers to improve their functionality, and eventually adding a layer of cloth/silicon between the electrodes and the human skin to ascertain the feasibility of the method...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813999/upper-limb-prosthetic-control-using-wearable-multichannel-mechanomyography
#14
Samuel Wilson, Ravi Vaidyanathan
In this paper we introduce a robust multi-channel wearable sensor system for capturing user intent to control robotic hands. The interface is based on a fusion of inertial measurement and mechanomyography (MMG), which measures the vibrations of muscle fibres during motion. MMG is immune to issues such as sweat, skin impedance, and the need for a reference signal that is common to electromyography (EMG). The main contributions of this work are: 1) the hardware design of a fused inertial and MMG measurement system that can be worn on the arm, 2) a unified algorithm for detection, segmentation, and classification of muscle movement corresponding to hand gestures, and 3) experiments demonstrating the real-time control of a commercial prosthetic hand (Bebionic Version 2)...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813990/a-learning-based-agent-for-home-neurorehabilitation
#15
Andreas Lydakis, Yuanliang Meng, Christopher Munroe, Yi-Ning Wu, Momotaz Begum
This paper presents the iterative development of an artificially intelligent system to promote home-based neurorehabilitation. Although proper, structured practice of rehabilitation exercises at home is the key to successful recovery of motor functions, there is no home-program out there which can monitor a patient's exercise-related activities and provide corrective feedback in real time. To this end, we designed a Learning from Demonstration (LfD) based home-rehabilitation framework that combines advanced robot learning algorithms with commercially available wearable technologies...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813986/evaluation-of-the-myo-armband-for-the-classification-of-hand-motions
#16
I Mendez, B W Hansen, C M Grabow, E J L Smedegaard, N B Skogberg, X J Uth, A Bruhn, B Geng, E N Kamavuako
Pattern recognition-based control systems have been widely investigated in prostheses and virtual reality environments to improve amputees' quality of life. Most of these systems use surface electromyography (EMG) to detect user movement intentions. The Myo armband (MYB) is a wireless wearable device, developed by Thalmic Labs, which enables EMG recordings with a limited bandwidth (<100Hz). The aim of this study was to compare MYB's narrow bandwidth with a conventional EMG acquisition system (CONV) that captures the full EMG spectrum to assess its suitability for pattern recognition control...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813985/emg-pattern-classification-to-control-a-hand-orthosis-for-functional-grasp-assistance-after-stroke
#17
Cassie Meeker, Sangwoo Park, Lauri Bishop, Joel Stein, Matei Ciocarlie
Wearable orthoses can function both as assistive devices, which allow the user to live independently, and as rehabilitation devices, which allow the user to regain use of an impaired limb. To be fully wearable, such devices must have intuitive controls, and to improve quality of life, the device should enable the user to perform Activities of Daily Living. In this context, we explore the feasibility of using electromyography (EMG) signals to control a wearable exotendon device to enable pick and place tasks...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813966/exergaming-with-a-pediatric-exoskeleton-facilitating-rehabilitation-and-research-in-children-with-cerebral-palsy
#18
Thomas C Bulea, Zachary F Lerner, Andrew J Gravunder, Diane L Damiano
Effective rehabilitation of children with cerebral palsy (CP) requires intensive task-specific exercise but many in this population lack the motor capabilities to complete the desired training tasks. Providing robotic assistance is a potential solution yet the effects of this assistance are unclear. We combined a novel exoskeleton and exercise video game (exergame) to create a new rehabilitation paradigm for children with CP. We incorporated high density electroencephalography (EEG) to assess cortical activity...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813959/-wink-to-grasp-comparing-eye-voice-emg-gesture-control-of-grasp-with-soft-robotic-gloves
#19
Bernardo Noronha, Sabine Dziemian, Giuseppe A Zito, Charalambos Konnaris, A Aldo Faisal
The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited by the degree to which human-machine-interaction is designed to be effective and efficient in translating user intention into robotic action. Specifically, we evaluate the novel possibility of binocular eye-tracking technology to detect voluntary winks from involuntary blink commands, to establish winks as a novel low-latency control signal to trigger robotic action. By wearing binocular eye-tracking glasses we enable users to directly observe their environment or the actuator and trigger movement actions, without having to interact with a visual display unit or user interface...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813952/comparative-performance-analysis-of-m-imu-emg-and-voice-user-interfaces-for-assistive-robots
#20
Clemente Laureiti, Francesca Cordella, Francesco Scotto di Luzio, Stefano Saccucci, Angelo Davalli, Rinaldo Sacchetti, Loredana Zollo
People with a high level of disability experience great difficulties to perform activities of daily living and resort to their residual motor functions in order to operate assistive devices. The commercially available interfaces used to control assistive manipulators are typically based on joysticks and can be used only by subjects with upper-limb residual mobilities. Many other solutions can be found in the literature, based on the use of multiple sensory systems for detecting the human motion intention and state...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
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