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https://www.readbyqxmd.com/read/28822578/improving-rhinology-skills-with-simulation
#1
REVIEW
Andrew Y Lee, Marvin P Fried, Marc Gibber
The convergence of technology and medicine has led to many advances in surgical training. Novel surgical simulators have led to significantly improved skills of graduating surgeons, leading to decreased time to proficiency, improved efficiency, decreased errors, and improvement in patient safety. Endoscopic sinus surgery poses a steep learning curve given the complex 3-dimensional anatomy of the nasal and paranasal cavities, and the necessary visual-spatial motor skills and bimanual dexterity. This article focuses on surgical simulation in rhinological training and how innovative high-fidelity and low-fidelity simulators can maximize resident training and improve procedural skills before operating in the live environment...
August 16, 2017: Otolaryngologic Clinics of North America
https://www.readbyqxmd.com/read/28822474/the-effect-of-augmented-feedback-and-expertise-on-spinal-manipulation-skills-an-experimental-study
#2
Mégane Pasquier, Charlène Cheron, Claude Dugas, Arnaud Lardon, Martin Descarreaux
OBJECTIVES: The purpose of this study was to investigate the combined effect of augmented feedback and expertise on the performance and retention of basic motor learning spinal manipulation skills. METHODS: A total of 103 chiropractic students with various training expertise were recruited for the study. Participants were evaluated at baseline, immediately after trials of augmented feedback practice and 1 week later. During all 3 assessments, students were asked to perform several trials of the same spinal manipulation, for which the maximum preload force, onset of thrust, thrust duration, force and peak force, thrust duration, rate of force application, and any drop in preload force were calculated...
July 2017: Journal of Manipulative and Physiological Therapeutics
https://www.readbyqxmd.com/read/28821666/gabaergic-interneuron-differentiation-in-the-basal-forebrain-is-mediated-through-direct-regulation-of-glutamic-acid-decarboxylase-isoforms-by-dlx-homeobox-transcription-factors
#3
Trung N Le, Qing-Ping Zhou, Inma Cobos, Shunzhen Zhang, Jamie Zagozewski, Sara Japoni, Jerry Vriend, Tracie Parkinson, Guoyan Du, John L Rubenstein, David D Eisenstat
γ-amino butyric acid (GABA) is the key inhibitory neurotransmitter in the cortex but regulation of its synthesis during forebrain development is poorly understood. In the telencephalon, members of the distal-less (Dlx) homeobox gene family are expressed in, and regulate the development of, the basal ganglia primodia from which many GABAergic neurons originate and migrate to other forebrain regions. The Dlx1/Dlx2 double knockout mice die at birth with abnormal cortical development, including loss of tangential migration of GABAergic inhibitory interneurons to the neocortex (Anderson et al...
August 8, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28821656/dissociable-effects-on-birdsong-of-androgen-signaling-in-cortex-like-brain-regions-of-canaries
#4
Beau A Alward, Jacques Balthazart, Gregory F Ball
The neural basis of how learned vocalizations change during development and in adulthood represents a major challenge facing cognitive neuroscience. This plasticity in the degree to which learned vocalizations can change in both humans and songbirds is linked to the actions of sex steroid hormones during ontogeny but also in adulthood in the context of seasonal changes in birdsong. We investigated the role of steroid hormone signaling in the brain on distinct features of birdsong using adult male canaries (Serinus canaria), which show extensive seasonal vocal plasticity as adults...
August 14, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28818006/the-role-of-the-bdnf-val66met-polymorphism-in-recovery-of-aphasia-after-stroke
#5
Riemke G A de Boer, Kerstin Spielmann, Majanka H Heijenbrok-Kal, Rick van der Vliet, Gerard M Ribbers, W Mieke E van de Sandt-Koenderman
BACKGROUND: Brain-derived neurotrophic factor (BDNF) is assumed to play a role in mediating neuroplasticity after stroke. Carriers of the function-limiting Val66Met (rs6265) single nucleotide polymorphism (SNP) may have a downregulation in BDNF secretion, which may lead to a poorer prognosis after stroke compared to noncarriers in motor learning and motor function recovery. The present study investigates whether this polymorphism may also affect the recovery of poststroke aphasia (ie, language impairment)...
August 1, 2017: Neurorehabilitation and Neural Repair
https://www.readbyqxmd.com/read/28817625/disentangling-the-relationship-between-children-s-motor-ability-executive-function-and-academic-achievement
#6
Mirko Schmidt, Fabienne Egger, Valentin Benzing, Katja Jäger, Achim Conzelmann, Claudia M Roebers, Caterina Pesce
Even though positive relations between children's motor ability and their academic achievement are frequently reported, the underlying mechanisms are still unclear. Executive function has indeed been proposed, but hardly tested as a potential mediator. The aim of the present study was therefore to examine the mediating role of executive function in the relationship between motor ability and academic achievement, also investigating the individual contribution of specific motor abilities to the hypothesized mediated linkage to academic achievement...
2017: PloS One
https://www.readbyqxmd.com/read/28814056/design-of-a-lightweight-tethered-torque-controlled-knee-exoskeleton
#7
Kirby Ann Witte, Andreas M Fatschel, Steven H Collins
Lower-limb exoskeletons show promise for improving gait rehabilitation for those with chronic gait abnormalities due to injury, stroke or other illness. We designed and built a tethered knee exoskeleton with a strong lightweight frame and comfortable, four-point contact with the leg. The device is structurally compliant in select directions, instrumented to measure joint angle and applied torque, and is lightweight (0.76 kg). The exoskeleton is actuated by two off-board motors. Closed loop torque control is achieved using classical proportional feedback control with damping injection in conjunction with iterative learning...
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
#8
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/28814034/automated-assessment-of-symptom-severity-changes-during-deep-brain-stimulation-dbs-therapy-for-parkinson-s-disease
#9
Paolo Angeles, Yen Tai, Nicola Pavese, Samuel Wilson, Ravi Vaidyanathan
Deep brain stimulation (DBS) is currently being used as a treatment for symptoms of Parkinson's disease (PD). Tracking symptom severity progression and deciding the optimal stimulation parameters for people with PD is extremely difficult. This study presents a sensor system that can quantify the three cardinal motor symptoms of PD - rigidity, bradykinesia and tremor. The first phase of this study assesses whether data recorded from the system during physical examinations can be used to correlate to clinician's severity score using supervised machine learning (ML) models...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814032/studying-the-implementation-of-iterative-impedance-control-for-assistive-hand-rehabilitation-using-an-exoskeleton
#10
T Martineau, R Vaidyanathan
A positive training synergy can be obtained when two individuals attempt to learn the same motor task while mechanically coupled to one another. In this paper, we have studied how mimicking this interaction through impedance control can be exploited to improve assistance delivered by hand exoskeleton devices during rehabilitation. In this context, the machine and user take complementary roles akin to two coupled individuals. We present the derivation of a dynamic model of the human hand for the purpose of controller development for new hand exoskeleton platforms...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813990/a-learning-based-agent-for-home-neurorehabilitation
#11
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/28813944/robotic-set-up-to-quantify-hand-eye-behavior-in-motor-execution-and-learning-of-children-with-autism-spectrum-disorder
#12
Claudia Casellato, Marta Gandolla, Alessandro Crippa, Alessandra Pedrocchi
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a persistence of social and communication impairment, and restricted and repetitive behaviors. However, motor disorders have also been described, but not objectively assessed. Most studies showed inefficient eye-hand coordination and motor learning in children with ASD; in other experiments, mechanisms of acquisition of internal models in self-generated movements appeared to be normal in autism. In this framework, we have developed a robotic protocol, recording gaze and hand data during upper limb tasks, in which a haptic pen-like handle is moved along specific trajectories displayed on the screen...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813936/using-upper-limb-kinematics-to-assess-cognitive-deficits-in-people-living-with-both-hiv-and-stroke
#13
Kevin D Bui, Roshan Rai, Michelle J Johnson
In this study, we aim to explore ways to objectively assess cognitive deficits in the stroke and HIV/stroke populations, where cognitive and motor impairments can be hard to separate. Using an upper limb rehabilitation robot called the Haptic TheraDrive, we collect performance error scores and motor learning data on the impaired and unimpaired limb during a trajectory tracking task. We compare these data to clinical cognitive scores. The preliminary results suggest a possible relationship between unimpaired upper limb performance error and visuospatial/executive function cognitive domains, but more work needs to be done to further investigate this...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813903/let-s-do-this-together-bi-manu-interact-a-novel-device-for-studying-human-haptic-interactive-behavior
#14
Ekaterina Ivanova, Axel Krause, Marie Schalicke, Franziska Schellhardt, Natalie Jankowski, Josy Achner, Henning Schmidt, Michael Joebges, Jorg Kruger
Our area of interest is robotic-based rehabilitation after stroke, and our goal is to help patients achieve optimal motor learning during high-intensity repetitive movement training through the assistance of robots. It is important, that the robotic assistance is adapted to the patients' abilities, thereby ensuring that the device is only supporting the patient as necessary ("assist-as-needed"). We hypothesize that natural and learning-effective human-machine interaction can be achieved by programming the robot's control, so that it emulates how a physiotherapist adaptively supports the patients' limb movement during stroke rehabilitation...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813899/the-effects-of-auditory-and-visual-cues-on-timing-synchronicity-for-robotic-rehabilitation
#15
Brittney A English, Ayanna M Howard
In this paper, we explore how the integration of auditory and visual cues can help teach the timing of motor skills for the purpose of motor function rehabilitation. We conducted a study using Amazon's Mechanical Turk in which 106 participants played a virtual therapy game requiring wrist movements. To validate that our results would translate to trends that could also be observed during robotic rehabilitation sessions, we recreated this experiment with 11 participants using a robotic wrist rehabilitation system as means to control the therapy game...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813874/effect-of-human-robot-interaction-on-muscular-synergies-on-healthy-people-and-post-stroke-chronic-patients
#16
A Scano, A Chiavenna, M Caimmi, M Malosio, L M Tosatti, F Molteni
Robot-assisted training is a widely used technique to promote motor re-learning on post-stroke patients that suffer from motor impairment. While it is commonly accepted that robot-based therapies are potentially helpful, strong insights about their efficacy are still lacking. The motor re-learning process may act on muscular synergies, which are groups of co-activating muscles that, being controlled as a synergic group, allow simplifying the problem of motor control. In fact, by coordinating a reduced amount of neural signals, complex motor patterns can be elicited...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813815/how-do-strength-and-coordination-recovery-interact-after-stroke-a-computational-model-for-informing-robotic-training
#17
Sumner L Norman, Joan Lobo-Prat, David J Reinkensmeyer
Robotic devices can train strength, coordination, or a combination of both. If a robotic device focuses on coordination, what happens to strength recovery, and vice versa? Understanding this interaction could help optimize robotic training. We developed a computational neurorehabilitation model to gain insight into the interaction between strength and coordination recovery after stroke. In the model, the motor system recovers by optimizing the activity of residual corticospinal cells (focally connected, excitatory and inhibitory) and reticulospinal cells (diffusely connected and excitatory) to achieve a motor task...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813804/leap-motion-evaluation-for-assessment-of-upper-limb-motor-skills-in-parkinson-s-disease
#18
A H Butt, E Rovini, C Dolciotti, P Bongioanni, G De Petris, F Cavallo
The main goal of this study is to investigate the potential of the Leap Motion Controller (LMC) for the objective assessment of motor dysfunctioning in patients with Parkinson's disease (PwPD). The most relevant clinical signs in Parkinson's Disease (PD), such as slowness of movements, frequency variation, amplitude variation, and speed, were extracted from the recorded LMC data. Data were clinically quantified using the LMC software development kit (SDK). In this study, 16 PwPD subjects and 12 control healthy subjects were involved...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813797/improving-motor-skill-transfer-during-dyadic-robot-training-through-the-modulation-of-the-expert-role
#19
Elisa Galofaro, Pietro Morasso, Jacopo Zenzeri
In daily life it is necessary to learn skills that can be applied in different tasks and different contexts. Usually these skills are acquired by observation or by direct physical training with another expert person. The critical point is to know which is the best possible way to achieve this knowledge acquisition. In this work we have proposed a collaborative environment where subjects with different levels of expertise have to interact through the use of a robotic platform. A motor skill learning algorithm has been designed in order to allow the less skilled subjects-naïves-to explore the virtual environment and to exploit the advantages of working with a skilled partner...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813792/there-is-plenty-of-room-for-motor-learning-at-the-bottom-of-the-fugl-meyer-acquisition-of-a-novel-bimanual-wheelchair-skill-after-chronic-stroke-using-an-unmasking-technology
#20
Yasemin Sarigul-Klijn, Joan Lobo-Prat, Brendan W Smith, Sage Thayer, Daniel Zondervan, Vicky Chan, Oliver Stoller, David J Reinkensmeyer
Many people with a stroke have a severely paretic arm, and it is often assumed that they are unable to learn novel, skilled behaviors that incorporate use of that arm. Here, we show that a group of people with chronic stroke (n = 5, upper extremity Fugl-Meyer scores: 31, 30, 26, 22, 8) learned to use their impaired arm to propel a novel, yoked-clutch lever drive wheelchair. Over six daily training sessions, each involving about 134 training movements with their "useless" arm, the users gradually achieved a 3-fold increase in wheelchair speed on average, with a 4-6 fold increase for three of the participants...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
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