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https://www.readbyqxmd.com/read/28628379/visuomotor-behaviors-and-performance-in-a-dual-task-paradigm-with-and-without-vibrotactile-feedback-when-using-a-myoelectric-controlled-hand
#1
Eitan Raveh, Jason Friedman, Sigal Portnoy
Prosthesis users allocate visual attention to their prosthetic hand while performing activities of daily living (ADLs), due to absence of sensory feedback. Dual-task assignments present competition for visual attention and may affect the performance of ADLs. Vibrotactile feedback (VTF) is a frequently-used method to provide prosthesis users with tactile feedback. However, the effect of adding VTF on visual attention and performance in a motor dual-task paradigm has not been investigated. Our aim was to compare visual attention and performance during ADLs in a motor dual-task paradigm when using binary VTF and without using VTF...
June 19, 2017: Assistive Technology: the Official Journal of RESNA
https://www.readbyqxmd.com/read/28608824/a-novel-unsupervised-adaptive-learning-method-for-long-term-electromyography-emg-pattern-recognition
#2
Qi Huang, Dapeng Yang, Li Jiang, Huajie Zhang, Hong Liu, Kiyoshi Kotani
Performance degradation will be caused by a variety of interfering factors for pattern recognition-based myoelectric control methods in the long term. This paper proposes an adaptive learning method with low computational cost to mitigate the effect in unsupervised adaptive learning scenarios. We presents a particle adaptive classifier (PAC), by constructing a particle adaptive learning strategy and universal incremental least square support vector classifier (LS-SVC). We compared PAC performance with incremental support vector classifier (ISVC) and non-adapting SVC (NSVC) in a long-term pattern recognition task in both unsupervised and supervised adaptive learning scenarios...
June 13, 2017: Sensors
https://www.readbyqxmd.com/read/28607219/transcranial-direct-current-stimulation-versus-user-training-on-improving-online-myoelectric-control-for-amputees
#3
Lizhi Pan, Dingguo Zhang, Ning Jiang, Xinjun Sheng, Xiangyang Zhu
OBJECTIVE: Transcranial direct current stimulation (tDCS) and user training (UT) are two types of methods to improve myoelectric control performance for amputees. In this study, we compared the independent effect between tDCS and UT, and investigated the combined effect of tDCS and UT. APPROACH: An online paradigm of simultaneous and proportional control (SPC) based on electromyography (EMG) was adopted. The proposed experiments were conducted on six naïve unilateral trans-radial amputees...
June 13, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28602137/immediate-and-short-term-effects-of-phototherapy-on-pain-muscle-activity-and-joint-mobility-in-women-with-temporomandibular-disorder-a-randomized-double-blind-placebo-controlled-clinical-trial
#4
Carolina Marciela Herpich, Ernesto Cesar Pinto Leal-Junior, Cid Andre Fidelis de Paula Gomes, Igor Phillip Dos Santos Gloria, Ana Paula Amaral, Maitê de Freitas de Rocha Souza Amaral, Fabiano Politti, Daniela Aparecida Biasotto-Gonzalez
OBJECTIVES: The aim of the present study was to evaluate the immediate and short-term effects of phototherapy on pain intensity, the pressure pain threshold (PPT), maximum vertical mandibular movement, and the electrical activity of the masseter and temporal muscles in women with temporomandibular disorder (TMD). METHODS: Sixty women were randomly allocated to four different groups and submitted to phototherapy with a combination of super-pulsed laser (905 nm), red (640 nm), and infrared (875 nm) light emitting diodes in the same equipment on the masseter (three points) and temporal (two points) muscles bilaterally in a single session...
June 11, 2017: Disability and Rehabilitation
https://www.readbyqxmd.com/read/28600254/short-and-long-term-learning-of-feedforward-control-of-a-myoelectric-prosthesis-with-sensory-feedback-by-amputees
#5
Matija Strbac, Milica Isakovic, Minja Belic, Igor Popovic, Igor Simanic, Dario Farina, Thierry Keller, Strahinja Dosen
Human motor control relies on a combination of feedback and feedforward strategies. The aim of this study was to longitudinally investigate artificial somatosensory feedback and feedforward control in the context of grasping with myoelectric prosthesis. Nine amputee subjects performed routine grasping trials, with the aim to produce four levels of force during four blocks of 60 trials across five days. The electrotactile force feedback was provided in the second and third block using multipad electrode and spatial coding...
June 6, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28579692/targeted-muscle-reinnervation-for-the-upper-and-lower-extremity
#6
Todd A Kuiken, Ann K Barlow, Levi Hargrove, Gregorgy A Dumanian
Myoelectric devices are controlled by electromyographic signals generated by contraction of residual muscles, which thus serve as biological amplifiers of neural control signals. Although nerves severed by amputation continue to carry motor control information intended for the missing limb, loss of muscle effectors due to amputation prevents access to this important control information. Targeted Muscle Reinnervation (TMR) was developed as a novel strategy to improve control of myoelectric upper limb prostheses...
June 2017: Techniques in Orthopaedics: TIO
https://www.readbyqxmd.com/read/28550423/tactile-feedback-is-an-effective-instrument-for-the-training-of-grasping-with-a-prosthesis-at-low-and-medium-force-levels
#7
Alessandro Marco De Nunzio, Strahinja Dosen, Sabrina Lemling, Marko Markovic, Meike Annika Schweisfurth, Nan Ge, Bernhard Graimann, Deborah Falla, Dario Farina
Grasping is a complex task routinely performed in an anticipatory (feedforward) manner, where sensory feedback is responsible for learning and updating the internal model of grasp dynamics. This study aims at evaluating whether providing a proportional tactile force feedback during the myoelectric control of a prosthesis facilitates learning a stable internal model of the prosthesis force control. Ten able-bodied subjects controlled a sensorized myoelectric prosthesis performing four blocks of consecutive grasps at three levels of target force (30, 50, and 70%), repeatedly closing the fully opened hand...
May 26, 2017: Experimental Brain Research. Experimentelle Hirnforschung. Expérimentation Cérébrale
https://www.readbyqxmd.com/read/28541915/embedded-system-for-prosthetic-control-using-implanted-neuromuscular-interfaces-accessed-via-an-osseointegrated-implant
#8
Enzo Mastinu, Pascal Doguet, Yohan Botquin, Bo Hakansson, Max Ortiz-Catalan
Despite the technological progress in robotics achieved in the last decades, prosthetic limbs still lack functionality, reliability, and comfort. Recently, an implanted neuromusculoskeletal interface built upon osseointegration was developed and tested in humans, namely the Osseointegrated Human-Machine Gateway. Here, we present an embedded system to exploit the advantages of this technology. Our artificial limb controller allows for bioelectric signals acquisition, processing, decoding of motor intent, prosthetic control, and sensory feedback...
May 23, 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28523276/improving-the-robustness-of-real-time-myoelectric-pattern-recognition-against-arm-position-changes-in-transradial-amputees
#9
Yanjuan Geng, Oluwarotimi Williams Samuel, Yue Wei, Guanglin Li
Previous studies have showed that arm position variations would significantly degrade the classification performance of myoelectric pattern-recognition-based prosthetic control, and the cascade classifier (CC) and multiposition classifier (MPC) have been proposed to minimize such degradation in offline scenarios. However, it remains unknown whether these proposed approaches could also perform well in the clinical use of a multifunctional prosthesis control. In this study, the online effect of arm position variation on motion identification was evaluated by using a motion-test environment (MTE) developed to mimic the real-time control of myoelectric prostheses...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28508398/effect-of-electromyographic-biofeedback-as-an-add-on-to-pelvic-floor-muscle-exercises-on-neuromuscular-outcomes-and-quality-of-life-in-postmenopausal-women-with-stress-urinary-incontinence-a-randomized-controlled-trial
#10
Adriane Bertotto, Renata Schvartzman, Silvana Uchôa, Maria Celeste Osório Wender
AIMS: To compare the efficacy of pelvic floor muscle exercises (PFME) with and without electromyographic biofeedback (BF) in increasing muscle strength, improving myoelectric activity, and improving pre-contraction and quality of life in postmenopausal women with stress urinary incontinence. METHODS: Randomized controlled trial of 49 postmenopausal women with stress urinary incontinence. Participants were allocated across three groups: control, PFME alone, and PFME + BF...
May 16, 2017: Neurourology and Urodynamics
https://www.readbyqxmd.com/read/28497771/an-isometric-muscle-force-estimation-framework-based-on-a-high-density-surface-emg-array-and-an-nmf-algorithm
#11
Chengjun Huang, Xiang Chen, Shuai Cao, Bensheng Qiu, Xu Zhang
OBJECTIVE: To realize accurate muscle force estimation, a novel framework is proposed in this paper which can extract the input of the prediction model from the appropriate activation area of the skeletal muscle. APPROACH: Surface electromyographic (sEMG) signals from the biceps brachii muscle during isometric elbow flexion were collected with a high-density (HD) electrode grid (128 channels) and the external force at three contraction levels was measured at the wrist synchronously...
May 12, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28483469/spectral-properties-of-multiple-myoelectric-signals-new-insights-into-the-neural-origin-of-muscle-synergies
#12
Julien Frère
It is still unclear if muscle synergies reflect neural strategies or mirror the underlying mechanical constraints. Therefore, this study aimed to verify the consistency of muscle groupings between the synergies based on the linear envelope (LE) of muscle activities and those incorporating the time-frequency (TF) features of the electromyographic (EMG) signals. Twelve healthy participants performed six 20-m walking trials at a comfort and fast self-selected speed, while the activity of eleven lower limb muscles was recorded by means of surface EMG...
May 5, 2017: Neuroscience
https://www.readbyqxmd.com/read/28472991/resolving-the-effect-of-wrist-position-on-myoelectric-pattern-recognition-control
#13
Adenike A Adewuyi, Levi J Hargrove, Todd A Kuiken
BACKGROUND: The use of pattern recognition-based methods to control myoelectric upper-limb prostheses has been well studied in individuals with high-level amputations but few studies have demonstrated that it is suitable for partial-hand amputees, who often possess a functional wrist. This study's objective was to evaluate strategies that allow partial-hand amputees to control a prosthetic hand while allowing retain wrist function. METHODS: EMG data was recorded from the extrinsic and intrinsic hand muscles of six non-amputees and two partial-hand amputees while they performed 4 hand motions in 13 different wrist positions...
May 4, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28470463/-the-endo-exo-prosthesis-treatment-concept-improvement-in-quality-of-life-after-limb-amputation
#14
T Hoffmeister, F Schwarze, H H Aschoff
Osseointegrated, percutaneous implants as the force bearer for exoprosthetics after limb amputation have been used in individual cases for clinical rehabilitation of amputees during the past years. Most experience in this field in Germany has been accumulated at the Sana Klinik in Lübeck with the so-called endo-exo prosthesis (EEP) system. The two-step implantation procedure can now be considered as reliable. Following a well-documented learning curve initial soft tissue problems concerning the cutaneous stoma can now be regarded as exceptions...
May 2017: Der Unfallchirurg
https://www.readbyqxmd.com/read/28470129/the-influence-of-environment-experiences-of-users-of-myoelectric-arm-prosthesis-a-qualitative-study
#15
Cathrine Widehammar, Ingvor Pettersson, Gunnel Janeslätt, Liselotte Hermansson
BACKGROUND: Prostheses are used to varying degrees; however, little is known about how environmental aspects influence this use. OBJECTIVES: To describe users' experiences of how environmental factors influence their use of a myoelectric arm prosthesis. STUDY DESIGN: Qualitative and descriptive. METHODS: A total of 13 patients previously provided with a myoelectric prosthetic hand participated. Their age, sex, deficiency level, etiology, current prosthesis use, and experience varied...
May 1, 2017: Prosthetics and Orthotics International
https://www.readbyqxmd.com/read/28468600/sensory-feedback-add-on-for-upper-limb-prostheses
#16
Nader Fallahian, Hassan Saeedi, Hamidreza Mokhtarinia, Farhad Tabatabai Ghomshe
BACKGROUND AND AIM: Sensory feedback systems have been of great interest in upper-limb prosthetics. Despite tremendous research, there are no commercial modality-matched feedback systems. This article aims to introduce the first detachable and feedback add-on option that can be attached to in-use prostheses. TECHNIQUE: A sensory feedback system was tested on a below-elbow myoelectric prosthesis. The aim was to have the amputee grasp fragile objects without crushing while other accidental feedback sources were blocked...
June 2017: Prosthetics and Orthotics International
https://www.readbyqxmd.com/read/28467317/deep-learning-based-artificial-vision-for-grasp-classification-in-myoelectric-hands
#17
Ghazal Ghazaei, Ali Alameer, Patrick Degenaar, Graham Morgan, Kianoush Nazarpour
OBJECTIVE: Computer vision-based assistive technology solutions can revolutionise the quality of care for people with sensorimotor disorders. The goal of this work was to enable trans-radial amputees to use a simple, yet efficient, computer vision system to grasp and move common household objects with a two-channel myoelectric prosthetic hand. APPROACH: We developed a deep learning-based artificial vision system to augment the grasp functionality of a commercial prosthesis...
June 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28456436/centrally-located-glp-1-receptors-modulate-gastric-slow-waves-and-cardiovascular-function-in-ferrets-consistent-with-the-induction-of-nausea
#18
Zengbing Lu, Chi-Kong Yeung, Ge Lin, David T W Yew, P L R Andrews, John A Rudd
Glucagon-like peptide-1 (GLP-1) receptor agonists are indicated for the treatment of Type 2 diabetes and obesity, but can cause nausea and emesis in some patients. GLP-1 receptors are distributed widely in the brain, where they contribute to mechanisms of emesis, reduced appetite and aversion, but it is not known if these centrally located receptors also contribute to a modulation of gastric slow wave activity, which is linked causally to nausea. Our aim was to investigate the potential of the GLP-1 receptor agonist, exendin-4, administered into the 3rd ventricle to modulate emesis, feeding and gastric slow wave activity...
April 21, 2017: Neuropeptides
https://www.readbyqxmd.com/read/28438166/adjacent-regenerative-peripheral-nerve-interfaces-produce-phase-antagonist-signals-during-voluntary-walking-in-rats
#19
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
#20
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
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