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https://www.readbyqxmd.com/read/28523276/improving-the-robustness-of-real-time-myoelectric-pattern-recognition-against-arm-position-changes-in-transradial-amputees
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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...
May 3, 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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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