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203 results for “rehabilitation robotics”
Dataset of the scientific paper " Multimodal robotic system for upper-limb rehabilitation in physical environment" (Advances in Mechanical Engineering)
<p>There are eight files with the following information:<br> - pos_stateXX.bin, binary file with information of the end effector position of the robot device in meters along the three axis (X, Y, Z) during state XX of the experiment<br> - target_stateXX.bin, binary file with information of the target position for the robot device in meters along the three axis (X, Y, Z) during state XX of the experiment<br> - emg_channelXX.bin, binary file with information of channel 1 of the EMG sensor in mV during during the whole time of the experiment<br> - color_stateXX.bin, binary file with information of color filter information during state XX of the experiment. This information is the percentage of pixels with the correct color (yellow, cyan or magenta) inside the region of interest</p> <p> </p>
Bilateral Stand-alone Robotic Motion-Assisted Finger Exoskeleton for Home Rehabilitation
<p><span>This presents a novel exoskeleton robot which can be used at home for rehabilitating the index fingers of stroke-affected patients. This exoskeleton is designed as a one degree-of-freedom four bar mechanism able to guide the human index finger motion. The proposed device is the only lateral, stand-alone mechanism built till date which can carry the weight of the human hand, thus making the user free from wearing it. The design starts by tracing the trajectory of the index finger using ‘Angulus’ software. ‘SALAR’ software is used for dimensional synthesis of four bar mechanism. Using additive manufacturing technology, a prototype of the proposed device is developed. Static force analysis is done to select the most appropriate actuator for producing the required torque to manipulate the fingers effectively. The kinematics of the index finger while performing finger curl exercise is obtained. The proposed linkage mechanism can drive the index fingers of both the hands. Simulation and experimental results proved feasibility and effectiveness of the proposed design to be used for index finger rehabilitation for a wide range of users and applications by making simple minor alterations in the design. Also, the device can be used for rehabilitating the middle fingers together with the index fingers.</span></p>
A case report on intensive, robot-assisted rehabilitation program for brainstem radionecrosis
<p>Radiotherapy is a valid treatment option for nasopharyngeal carcinoma. However, complications can occur following irradiation of the closest anatomical structures, including brainstem radionecrosis (BRN). The rehabilitation is poorly described in patients with BRN, despite its usefulness in improving functional independence in patients with brain tumors. We aimed at testing the usefulness of intensive, robot-assisted neurorehabilitation program to improve functional independence in a 57-year-old male with BRN.</p> <p>Patient concerns: </p> <p>A 57-year-old male diagnosed with a nasopharyngeal carcinoma, received a radiation total dose of 72 Gy. Owing to the appearance of a severe symptomatology characterized by dysphagia, hearing loss, and left sided hemiparesis, the patient was hospitalized to be provided with intensive pharmacological and neurorehabilitation treatment.</p> <p>Diagnosis: </p> <p>Follow-up brain magnetic resonance imaging disclosed no residual cancer, but some brainstem lesions compatible with BRN areas were appreciable.</p> <p>Intervention: </p> <p>The patient underwent a 2-month conventional, respiratory, and speech therapy. Given that the patient only mildly improved, he was provided with intensive robot-aided upper limb and gait training and virtual reality-based cognitive rehabilitation for other 2 months.</p> <p>Outcomes: </p> <p>The patient reported a significant improvement in functional independence, spasticity, cognitive impairment degree, and balance.</p> <p>Conclusion: </p> <p>Our case suggests the usefulness of neurorobotic intensive rehabilitation in BRN to reduce functional disability. Future studies should investigate whether an earlier, even multidisciplinary rehabilitative treatment could lead to better functional outcome in patients with BRN.</p>
Experimental data for "A Novel Clinical-Driven Design for Robotic Hand Rehabilitation: Combining Sensory Training, Effortless Setup and Large Range of Motion in a Palmar Device"
<p>Experimental data for the interaction force benchmark test of the PRIDE haptic hand rehabilitation device.</p>
Cardiovascular Rehabilitation Early After Stroke Using Feedback-controlled Robotics-assisted Treadmill Exercise
ClinicalTrials.gov study NCT01679600. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Rehabilitation Robotic System ReHand
ClinicalTrials.gov study NCT06937346. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation of Robot Assisted Neuro-Rehabilitation
ClinicalTrials.gov study NCT01253018. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Extension of the MIME Robotic System for Stroke Rehabilitation
ClinicalTrials.gov study NCT00995774. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of Robotic Arm Rehabilitation in Stroke Patients
ClinicalTrials.gov study NCT00333983. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Combined Transcranial Direct Current Stimulation and Motor Imagery-based Robotic Arm Training for Stroke Rehabilitation
ClinicalTrials.gov study NCT01897025. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Robotics For Rehabilitation Therapy: Functional Versus Individual Joint Training
ClinicalTrials.gov study NCT01050231. IPD Sharing: NO. Countries: 1. Publications: 1.
Effectiveness of Intelligent Rehabilitation Robot Training System Combined With Repetitive Facilitative Exercise on Upper Limb Motor Function After Stroke: a Randomized Control Trial.
ClinicalTrials.gov study NCT06435624. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Model-informed Patient-specific Rehabilitation Using Robotics and Neuromuscular Modeling
ClinicalTrials.gov study NCT06008743. IPD Sharing: NO. Countries: 1. Publications: 1.
Validation of the pelvic attachment mechanism of NIMBLE, an ambulatory user support gait rehabilitation robot.
<p>Description of the project<br><span><span>NIMBLE project aims to design and validate a novel gait rehabilitation robot. The objective of the robot is to provide ambulatory, body-weight supported walking training assisting user's limbs and its center of mass. The NIMBLE robot is comprised by a robotic frame, a lower limb exoskeleton, and a exoskeleton-frame coupling mechatronics that allows to assist the user's center of mass.</span></span></p> <p>Description of the dataset<br><span><span>This dataset contains the results of an experiment conducted to assess the alteration on walking kinematics due to the mechatronic device coupling the frame and the exoskeleton.</span></span></p> <p>--------------------------<br>METHODOLOGY<br>--------------------------<br>1. Methodology<br>The walking kinematics were recorded and analyzed at slow (0.5 m/s) and normal (1 m/s) speeds under three different conditions: unrestricted walking, walking while wearing the Exo-H3 corset, and walking while wearing the Exo-H3 corset coupled to the robotic frame. Only the corset is worn, to isolate and evaluate the direct impact of the designed mechanism without the kinematic restrictions imposed by the exoskeleton. This approach ensures that the effects observed are solely attributable to the mechanism itself, avoiding any confounding influences from the exoskeleton. This approach allows the evaluation of the influence of the exoskeleton corset, as it is a required component to secure the user to the robotic frame, and a comparison of its impact with that of the robotic frame. For this purpose, joint angles and their maximum and minimum values and ranges of motion (ROM) are analyzed in both the sagittal and frontal planes, along with the step width and the displacement of the CoM in the vertical and horizontal directions.</p> <p>2. Software<br>Data were collected using Kinovea and then processed and analyzed using Matlab.</p> <p>--------------------------<br>FILES<br>--------------------------<br>1. Files <br>One ".m" file is included. For each subject (idX), three subfolders are found:<br>- Calib folder: it contains the initial position and angular value of the markers and angles analyzed.<br>- frontal folder: for both speeds and the three analyzed conditions (Unrestricted walking CL, wearing the corset CC, and attached to the robotic frame CML), it contains the raw data, filtered data, segmented data normalized by gait cycles, mean and standard deviation data of those segmented cycles, and normalized data using the initial value from Calib file, for every marker position in the frontal plane (ankle, knee, hip and center of mass). Also, segmented, mean and deviations are presented from angular values in the frontal plane (right and left hip abduction and pelvic list).<br>- sagittal folder: for both speeds and the three analyzed conditions (Unrestricted walking CL, wearing the corset CC, and attached to the robotic frame CML), it contains the raw data, filtered data, segmented data normalized by gait cycles, mean and standard deviation data of those segmented cycles, and normalized data using the initial value from Calib file, for every marker position in the sagittal plane (hip, knee, ankle and toe tip). Also, segmented, mean and deviations are presented from angular values in the frontal plane (hip, knee and ankle flexo-extension).</p> <p>In addition, one average folder (media) includes average data for the statistical analysis. Signals subfolder includes all segmented data from the previous variables for every speed and conditions, joining the data from every subject in one table, a total of 50 samples (10 segmented cycles x 5 subjects). Value subfolder includes maximum, minimum and ranges of motion of angular variables. Every variable has 50 rows (10 segmented cycles x 5 subjects) and 3 columns (CL, CC, and CML conditions). Also mean step width is presented, as the distance between ankle markers in the frontal plane.</p> <p>--------------------------<br>OTHERS<br>--------------------------<br>1. Data dictionary<br>speed05: data collected at 0.5 m/s<br>speed1: data collected at 1 m/s<br>CL: Unrestricted walking condition<br>CC: Wearing the corset condition<br>CML: Attached to the robotic frame condition<br>R: right leg<br>L: left leg<br>x: horizontal direction<br>y: vertical direction<br>ANKLE, KNEE, HIP, COM: ankle, knee, hip, and virtual center of mass markers in the frontal plane.<br>HIP_lat, KNEE_lat, ANKLE_lat and TOE_lat: hip, knee, ankle, and toe tip markers in the sagittal plane.<br>Abd: hip abduction angle.<br>Hip_Angle, Knee_Angle, Ankle_Angle: hip, knee, and ankle flexo-extension angles.</p> <p>--------------------------<br>SPONSORSHIP INFORMATION AND GRANT IDs<br>--------------------------<br>1. Grant Information<br>This work is part of the R&D project PID2021-123657OB-C32, funded by MCIN/ AEI/10.13039/501100011033/ and by “ERDF A way of making Europe”.</p>
The Effects Of Upper Extremity Robotic Rehabilitation On Upper Extremity Functions And Gait Parameters
ClinicalTrials.gov study NCT05136612. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Brainwave Control of a Wearable Robotic Arm for Rehabilitation and Neurophysiological Study in Cervical Spine Injury
ClinicalTrials.gov study NCT02443558. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Upper Limb Task-Oriented Rehabilitation With Robotic Exoskeleton for Hemiparetic Stroke Patients
ClinicalTrials.gov study NCT03319992. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Robotic Gait Training VS.Conventional Rehabilitation in SCI
ClinicalTrials.gov study NCT01432990. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Rehabilitation With and Without Robot and Allied Digital Technologies in Stroke Patients
ClinicalTrials.gov study NCT06547827. IPD Sharing: YES. Countries: 1. Publications: 1.
Robot-Enhanced Stroke Therapy Optimizes Rehabilitation (RESTORE)
ClinicalTrials.gov study NCT04201613. IPD Sharing: UNDECIDED. Countries: 1. Publications: 14.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.