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https://www.readbyqxmd.com/read/28928708/neural-patterns-of-reorganization-after-intensive-robot-assisted-virtual-reality-therapy-and-repetitive-task-practice-in-patients-with-chronic-stroke
#1
Soha Saleh, Gerard Fluet, Qinyin Qiu, Alma Merians, Sergei V Adamovich, Eugene Tunik
Several approaches to rehabilitation of the hand following a stroke have emerged over the last two decades. These treatments, including repetitive task practice (RTP), robotically assisted rehabilitation and virtual rehabilitation activities, produce improvements in hand function but have yet to reinstate function to pre-stroke levels-which likely depends on developing the therapies to impact cortical reorganization in a manner that favors or supports recovery. Understanding cortical reorganization that underlies the above interventions is therefore critical to inform how such therapies can be utilized and improved and is the focus of the current investigation...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28928706/early-stroke-rehabilitation-of-the-upper-limb-assisted-with-an-electromyography-driven-neuromuscular-electrical-stimulation-robotic-arm
#2
Qiuyang Qian, Xiaoling Hu, Qian Lai, Stephanie C Ng, Yongping Zheng, Waisang Poon
BACKGROUND: Effective poststroke motor rehabilitation depends on repeated limb practice with voluntary efforts. An electromyography (EMG)-driven neuromuscular electrical stimulation (NMES)-robot arm was designed for the multi-joint physical training on the elbow, the wrist, and the fingers. OBJECTIVES: To investigate the training effects of the device-assisted approach on subacute stroke patients and to compare the effects with those achieved by the traditional physical treatments...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28919312/the-combined-effects-of-adaptive-control-and-virtual-reality-on-robot-assisted-fine-hand-motion-rehabilitation-in-chronic-stroke-patients-a-case-study
#3
Xianwei Huang, Fazel Naghdy, Golshah Naghdy, Haiping Du, Catherine Todd
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive training that is needed to trigger neuroplasticity following a stroke. However, the lack of fully adaptive assist-as-needed control of the robotic devices and an inadequate immersive virtual environment that can promote active participation during training are obstacles hindering the achievement of better training results with fewer training sessions required. This study thus focuses on these research gaps by combining these 2 key components into a rehabilitation system, with special attention on the rehabilitation of fine hand motion skills...
September 14, 2017: Journal of Stroke and Cerebrovascular Diseases: the Official Journal of National Stroke Association
https://www.readbyqxmd.com/read/28904105/contribution-of-sensory-feedback-to-plantar-flexor-muscle-activation-during-push-off-in-adults-with-cerebral-palsy
#4
Rasmus Feld Frisk, Peter Jensen, Henrik Kirk, Laurent J Bouyer, Jakob Lorentzen, Jens Bo Nielsen
INTRODUCTION: Exaggerated sensory activity has been assumed to contribute to functional impairment following lesion of the central motor pathway. However, recent studies have suggested that sensory contribution to muscle activity during gait is reduced in stroke patients and children with cerebral palsy (CP). We investigated whether this also occurs in CP adults and whether daily treadmill training is accompanied by alterations in sensory contribution to muscle activity. MATERIALS AND METHODS: 17 CP adults and 12 uninjured individuals participated...
September 13, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28893396/early-results-of-robotically-assisted-mitral-valve-surgery-analysis-of-the-first-1000-cases
#5
A Marc Gillinov, Tomislav Mihaljevic, Hoda Javadikasgari, Rakesh M Suri, Stephanie L Mick, José L Navia, Milind Y Desai, Johannes Bonatti, Mitra Khosravi, Jay J Idrees, Ashley M Lowry, Eugene H Blackstone, Lars G Svensson
OBJECTIVE: The study objective was to assess the technical and process improvement and clinical outcomes of robotic mitral valve surgery by examining the first 1000 cases performed in a tertiary care center. METHODS: We reviewed the first 1000 patients (mean age, 56 ± 10 years) undergoing robotic primary mitral valve surgery, including concomitant procedures (n = 185), from January 2006 to November 2013. Mitral valve disease cause was degenerative (n = 960, 96%), endocarditis (n = 26, 2...
August 1, 2017: Journal of Thoracic and Cardiovascular Surgery
https://www.readbyqxmd.com/read/28890685/emg-based-continuous-and-simultaneous-estimation-of-arm-kinematics-in-able-bodied-individuals-and-stroke-survivors
#6
Jie Liu, Sang Hoon Kang, Dali Xu, Yupeng Ren, Song Joo Lee, Li-Qun Zhang
Among the potential biological signals for human-machine interactions (brain, nerve, and muscle signals), electromyography (EMG) widely used in clinical setting can be obtained non-invasively as motor commands to control movements. The aim of this study was to develop a model for continuous and simultaneous decoding of multi-joint dynamic arm movements based on multi-channel surface EMG signals crossing the joints, leading to application of myoelectrically controlled exoskeleton robots for upper-limb rehabilitation...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28882607/efficacy-and-safety-in-frameless-robot-assisted-stereo-electroencephalography-seeg-for-drug-resistant-epilepsy
#7
I Ollivier, C Behr, H Cebula, A Timofeev, M Benmekhbi, M P Valenti, A M Staack, J Scholly, P Kehrli, E Hirsch, F Proust
INTRODUCTION: Stereo-electroencephalography (SEEG) is an invasive procedure, used to identify the epileptogenic zone that can be surgically removed in order to treat drug-resistant epilepsy. Frameless robot-assisted positioning of depth electrodes permits a 3D approach with different obliquities and trajectories. The objective of the present study was to evaluate the morbidity and the accuracy related to this frameless procedure. PATIENTS AND METHODS: Sixty-six patients were managed wherein 901 electrodes were implanted during a 6-year-period...
September 4, 2017: Neuro-Chirurgie
https://www.readbyqxmd.com/read/28875598/recovery-of-proprioception-in-the-upper-extremity-by-robotic-mirror-therapy-a-clinical-pilot-study-for-proof-of-concept
#8
Hyung Seok Nam, Sukgyu Koh, Jaewon Beom, Yoon Jae Kim, Jang Woo Park, Eun Sil Koh, Sun Gun Chung, Sungwan Kim
A novel robotic mirror therapy system was recently developed to provide proprioceptive stimulus to the hemiplegic arm during a mirror therapy. Validation of the robotic mirror therapy system was performed to confirm its synchronicity prior to the clinical study. The mean error angle range between the intact arm and the robot was 1.97 to 4.59 degrees. A 56-year-old male who had right middle cerebral artery infarction 11 months ago received the robotic mirror therapy for ten 30-minute sessions during 2 weeks...
October 2017: Journal of Korean Medical Science
https://www.readbyqxmd.com/read/28870058/technologically-advanced-assessment-of-upper-limb-spasticity-a-pilot-study
#9
Federico Posteraro, Simona Crea, Stefano Mazzoleni, Mihai Berteanu, Ileana Ciobanu, Nicola Vitiello, Marco Cempini, Sabata Gervasio, Natalie Mrachacz-Kersting
BACKGROUND: Spasticity is a muscle disorder associated with upper motor neuron syndrome occurring in neurological disorders, such as stroke, multiple sclerosis, spinal cord injury and others. It influences the patient's rehabilitation, interfering with function, limiting independence, causing pain and producing secondary impairments, such as contractures or other complications. Due to the heterogeneity of clinical signs of spasticity, there is no agreement on the most appropriate assessment and measurement modality for the evaluation of treatment outcomes...
September 4, 2017: European Journal of Physical and Rehabilitation Medicine
https://www.readbyqxmd.com/read/28869436/design-and-analysis-of-a-novel-fall-prevention-device-for-lower-limbs-rehabilitation-robot
#10
Jiancheng Ji, Shuai Guo, Tao Song, Fengfeng Jeff Xi
BACKGROUND: Most stroke survivors are suffering from physical motor impairments and confronting with the risk of falls, and well trunk stability is essential for balance during daily functional activities. OBJECTIVES: Current fall prevention devices have various limits to the efficient recovery of balance function of the trunk. To provide hemiplegic patients after stroke with the retraining of trunk position sense and a safety environment, a novel fall prevention device is proposed...
August 21, 2017: Journal of Back and Musculoskeletal Rehabilitation
https://www.readbyqxmd.com/read/28814056/design-of-a-lightweight-tethered-torque-controlled-knee-exoskeleton
#11
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/28814016/applying-a-soft-robotic-glove-as-assistive-device-and-training-tool-with-games-to-support-hand-function-after-stroke-preliminary-results-on-feasibility-and-potential-clinical-impact
#12
Gerdienke B Prange-Lasonder, Bob Radder, Anke I R Kottink, Alejandro Melendez-Calderon, Jaap H Buurke, Johan S Rietman
Recent technological developments regarding wearable soft-robotic devices extend beyond the current application of rehabilitation robotics and enable unobtrusive support of the arms and hands during daily activities. In this light, the HandinMind (HiM) system was developed, comprising a soft-robotic, grip supporting glove with an added computer gaming environment. The present study aims to gain first insight into the feasibility of clinical application of the HiM system and its potential impact. In order to do so, both the direct influence of the HiM system on hand function as assistive device and its therapeutic potential, of either assistive or therapeutic use, were explored...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814003/a-springs-actuated-finger-exoskeleton-from-mechanical-design-to-spring-variables-evaluation
#13
Roberto Bortoletto, Ashley N Mello, Davide Piovesan
In the context of post-stroke patients, suffering of hemiparesis of the hand, robot-aided neuro-motor rehabilitation allows for intensive rehabilitation treatments and quantitative evaluation of patients' progresses. This work presents the design and evaluation of a spring actuated finger exoskeleton. In particular, the spring variables and the interaction forces between the assembly and the hand were investigated, in order to assess the effectiveness of the proposed exoskeleton.
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813960/towards-free-3d-end-point-control-for-robotic-assisted-human-reaching-using-binocular-eye-tracking
#14
Roni O Maimon-Dror, Jorge Fernandez-Quesada, Giuseppe A Zito, Charalambos Konnaris, Sabine Dziemian, A Aldo Faisal
Eye-movements are the only directly observable behavioural signals that are highly correlated with actions at the task level, and proactive of body movements and thus reflect action intentions. Moreover, eye movements are preserved in many movement disorders leading to paralysis (or amputees) from stroke, spinal cord injury, Parkinson's disease, multiple sclerosis, and muscular dystrophy among others. Despite this benefit, eye tracking is not widely used as control interface for robotic interfaces in movement impaired patients due to poor human-robot interfaces...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813958/quantitative-assessment-of-motor-functions-post-stroke-responsiveness-of-upper-extremity-robotic-measures-and-its-task-dependence
#15
Asif Hussain, Aamani Budhota, Sara Contu, Simone Kager, Deshmukh A Vishwanath, Christopher W K Kuah, Lester H L Yam, Karen S G Chua, Lorenzo Masia, Domenico Campolo
Technology aided measures offer a sensitive, accurate and time-efflcient approach for the assessment of sensorimotor function after neurological impairment compared to standard clinical assessments. This preliminary study investigated the relationship between task definition and its effect on robotic measures using a planar, two degree of freedom, robotic-manipulator (H-Man). Four chronic stroke participants (49.5±11.95 years, 2 Female, FMA: 37.5±13.96) and eight healthy control participants (26.25± 4.70 years, 2 Female) participated in the study...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813937/towards-quantifying-dynamic-human-human-physical-interactions-for-robot-assisted-stroke-therapy
#16
Mayumi Mohan, Rochelle Mendonca, Michelle J Johnson
Human-Robot Interaction is a prominent field of robotics today. Knowledge of human-human physical interaction can prove vital in creating dynamic physical interactions between human and robots. Most of the current work in studying this interaction has been from a haptic perspective. Through this paper, we present metrics that can be used to identify if a physical interaction occurred between two people using kinematics. We present a simple Activity of Daily Living (ADL) task which involves a simple interaction...
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
#17
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/28813935/influence-of-artifacts-on-movement-intention-decoding-from-eeg-activity-in-severely-paralyzed-stroke-patients
#18
Eduardo Lopez-Larraz, Carlos Bibian, Niels Birbaumer, Ander Ramos-Murguialday
Brain-machine interfaces (BMI) can be used to control robotic and prosthetic devices for rehabilitation of motor disorders, such as stroke. The calibration of these BMI systems is of paramount importance in order to establish a precise contingent link between the brain activity related to movement intention and the peripheral feedback. However, electroencephalographic (EEG) activity, commonly used to build non-invasive BMIs, can be easily contaminated by artifacts of electrical or physiological origin. The way these interferences can affect the performance of movement intention decoders has not been deeply studied, especially when dealing with severely paralyzed patients, which often generate more artifacts by compensatory movements...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813934/a-hybrid-brain-machine-interface-based-on-eeg-and-emg-activity-for-the-motor-rehabilitation-of-stroke-patients
#19
Andrea Sarasola-Sanz, Nerea Irastorza-Landa, Eduardo Lopez-Larraz, Carlos Bibian, Florian Helmhold, Doris Broetz, Niels Birbaumer, Ander Ramos-Murguialday
Including supplementary information from the brain or other body parts in the control of brain-machine interfaces (BMIs) has been recently proposed and investigated. Such enriched interfaces are referred to as hybrid BMIs (hBMIs) and have been proven to be more robust and accurate than regular BMIs for assistive and rehabilitative applications. Electromyographic (EMG) activity is one of the most widely utilized biosignals in hBMIs, as it provides a quite direct measurement of the motion intention of the user...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813931/making-neurorehabilitation-fun-multiplayer-training-via-damping-forces-balancing-differences-in-skill-levels
#20
Kilian Baur, Peter Wolf, Robert Riener, Jaime E Duarte
Multiplayer environments are thought to increase the training intensity in robot-aided rehabilitation therapy after stroke. We developed a haptic-based environment to investigate the dynamics of two-player training performing time-constrained reaching movements using the ARMin rehabilitation robot. We implemented a challenge level adaptation algorithm that controlled a virtual damping coefficient to reach a desired success rate. We tested the algorithm's effectiveness in regulating the success rate during game play in a simulation with computer-controlled players, in a feasibility study with six unimpaired players, and in a single session with one stroke patient...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
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