219 results found
Arami A, Tagliamonte NL, Tamburella F, et al., 2017, A simple tool to measure spasticity in spinal cord injury subjects., Pages: 1590-1596
This work presents a wearable device and the algorithms for quantitative modelling of joint spasticity and its application in a pilot group of subjects with different levels of spinal cord injury. The device comprises light-weight instrumented handles to measure the interaction force between the subject and the physical therapist performing the tests, EMG sensors and inertial measurement units to measure muscle activity and joint kinematics. Experimental tests included the passive movement of different body segments, where the spasticity was expected, at different velocities. Tonic stretch reflex thresholds and their velocity modulation factor are computed, as a quantitative index of spasticity, by using the kinematics data at the onset of spasm detected through thresholding the EMG data. This technique was applied to two spinal cord injury subjects. The proposed method allowed the analysis of spasticity at muscle and joint levels. The obtained results are in line with the expert diagnosis and qualitative spasticity characterisation on each individual.
Farkhatdinov I, Roehri N, Burdet E, 2017, Anticipatory detection of turning in humans for intuitive control of robotic mobility assistance, BIOINSPIRATION & BIOMIMETICS, Vol: 12, ISSN: 1748-3182
Huang H-Y, Farkhatdinov I, Arami A, et al., 2017, Modelling Neuromuscular Function of SCI Patients in Balancing, 3rd International Conference on NeuroRehabilitation (ICNR), Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 355-359, ISSN: 2195-3562
Li R, Li Y, Li SE, et al., 2017, Driver-Automation Indirect Shared Control of Highly Automated Vehicles with Intention-Aware Authority Transition, 28th IEEE Intelligent Vehicles Symposium (IV), Publisher: IEEE, Pages: 26-32, ISSN: 1931-0587
Mace M, Kinany N, Rinne P, et al., 2017, Balancing the playing field: collaborative gaming for physical training, JOURNAL OF NEUROENGINEERING AND REHABILITATION, Vol: 14, ISSN: 1743-0003
Mace M, Rinne P, Kinany N, et al., 2017, Collaborative Gaming to Enhance Patient Performance During Virtual Therapy, 3rd International Conference on NeuroRehabilitation (ICNR), Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 375-379, ISSN: 2195-3562
Mace M, Rinne P, Liardon J-L, et al., 2017, Elasticity improves handgrip performance and user experience during visuomotor control, ROYAL SOCIETY OPEN SCIENCE, Vol: 4, ISSN: 2054-5703
Martin-Brevet S, Jarrasse N, Burdet E, et al., 2017, Taxonomy based analysis of force exchanges during object grasping and manipulation, PLOS ONE, Vol: 12, ISSN: 1932-6203
Melendez-Calderon A, Tan M, Bittmann MF, et al., 2017, Transfer of dynamic motor skills acquired during isometric training to free motion, JOURNAL OF NEUROPHYSIOLOGY, Vol: 118, Pages: 219-233, ISSN: 0022-3077
Ogrinc Ms M, Farkhatdinov PhD I, Walker Ms R, et al., 2017, Horseback riding therapy for a deafblind individual enabled by a haptic interface., Assist Technol, Pages: 1-8
We present a haptic interface to help deafblind people to practice horseback riding as a recreational and therapeutic activity. Horseback riding is a form of therapy which can improve self-esteem and sensation of independence. It has been shown to benefit people with various medical conditions-including autism. However, in the case of deafblind riders, an interpreter must stand by at all times to communicate with the rider by touch. We developed a simple interface that enables deafblind people to enjoy horseback riding while the instructor is remotely providing cues, which improves their independence. Experiments demonstrated that an autistic deafblind individual exhibits similar responses to navigational cues as an unimpaired rider. Motivation is an important factor in therapy, and is frequently determinant of its outcome; therefore, the user attitude toward the therapy methods is key. The answers to questionnaires filled by the rider, family, and the instructor show that our technique gives the rider a greater sense of independence and more joy compared to standard riding where the instructor is walking along with the horse.
Takagi A, Ganesh G, Yoshioka T, et al., 2017, Physically interacting individuals estimate the partner's goal to enhance their movements, NATURE HUMAN BEHAVIOUR, Vol: 1, ISSN: 2397-3374
Veneman JF, Burdet E, van der Kooij H, et al., 2017, EMERGING DIRECTIONS IN LOWER LIMB EXTERNALLY WEARABLE ROBOTS FOR GAIT REHABILITATION AND AUGMENTATION - A REVIEW, 19th International Conference series on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR), Publisher: WORLD SCIENTIFIC PUBL CO PTE LTD, Pages: 840-850
Zhou S-H, Tan Y, Oetomo D, et al., 2017, Modeling of Endpoint Feedback Learning Implemented Through Point-to-Point Learning Control, IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, Vol: 25, Pages: 1576-1585, ISSN: 1063-6536
ogrinc M, Farkhatdinov I, Walker R, et al., 2017, Sensory integration of apparent motion speed and vibration magnitude, IEEE Transactions on Haptics, ISSN: 1939-1412
IEEE Tactile apparent motion can display directional information in an intuitive way. It can for example be used to give directions to visually impaired individuals, or for waypoint navigation while cycling on busy streets, when vision or audition should not be loaded further. However, although humans can detect very short tactile patterns, discriminating between similar motion speeds has been shown to be difficult. Here we develop and investigate a method where the speed of tactile apparent motion around the user & #x0027;s wrist is coupled with vibration magnitude. This redundant coupling is used to produce tactile patterns from slow & amp;weak to fast & amp;strong. We compared the just noticeable difference (JND) of the coupled and the individual variables. The results show that the perception of the coupled variable can be characterised by JND smaller than JNDs of the individual variables. This allowed us to create short tactile pattens (tactons) for display of direction and speed, which can be distinguished significantly better than tactons based on motion alone. Additionally, most subjects were also able to identify the coupled-variable tactons better than the magnitude-based tactons.
Abdi E, Burdet E, Bouri M, et al., 2016, In a demanding task, three-handed manipulation is preferred to two-handed manipulation, SCIENTIFIC REPORTS, Vol: 6, ISSN: 2045-2322
Allievi AG, Arichi T, Tusor N, et al., 2016, Maturation of Sensori-Motor Functional Responses in the Preterm Brain, CEREBRAL CORTEX, Vol: 26, Pages: 402-413, ISSN: 1047-3211
Angeles P, Mace M, Admiraal M, et al., 2016, A Wearable Automated System to Quantify Parkinsonian Symptoms Enabling Closed Loop Deep Brain Stimulation, 17th Annual Conference on Towards Autonomous Robotic Systems (TAROS), Publisher: SPRINGER INT PUBLISHING AG, Pages: 8-19, ISSN: 0302-9743
Dzeladini F, Wu AR, Renjewski D, et al., 2016, Effects of a neuromuscular controller on a powered ankle exoskeleton during human walking, 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Publisher: IEEE, Pages: 617-622, ISSN: 2155-1782
Hussain A, Budhota A, Hughes' CML, et al., 2016, Self-Paced Reaching after Stroke: A Quantitative Assessment of Longitudinal and Directional Sensitivity Using the H-Man Planar Robot for Upper Limb Neurorehabilitation, FRONTIERS IN NEUROSCIENCE, Vol: 10, ISSN: 1662-453X
Jeanneret M, Bagnato C, Allievi AG, et al., 2016, A Versatile Robotic Haptic Stimulator to Study the Influence of Pain on Human Motor Control and Learning, 10th International Conference on Haptics - Perception, Devices, Control, and Applications (EuroHaptics), Publisher: SPRINGER INT PUBLISHING AG, Pages: 101-110, ISSN: 0302-9743
Kolossiatis M, Charalambous T, Burdet E, 2016, How Variability and Effort Determine Coordination at Large Forces, PLOS ONE, Vol: 11, ISSN: 1932-6203
Li Z, Yang C, Burdet E, 2016, An Overview of Biomedical Robotics and Bio-Mechatronics Systems and Applications, IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, Vol: 46, Pages: 869-874, ISSN: 2168-2216
Ogrinc M, Farkhatdinov I, Walker R, et al., 2016, Deaf-Blind Can Practise Horse Riding with the Help of Haptics, 10th International Conference on Haptics - Perception, Devices, Control, and Applications (EuroHaptics), Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 452-461, ISSN: 0302-9743
Ong HT, Tong LZ, Tan JX, et al., 2016, Pediatric rehabilitation of upper limb function using novel robotic device reachMAN2, Pages: 1-7
Studies of robotic therapy for adults with physical disabilities due to stroke have been an active field of research for the last two decades and the results suggest that stroke patients can benefit from this kind of therapy. Due to the success of robot-assisted rehabilitation in adults, it is reasonable to believe that this approach may be well suited to the needs of children with physical disabilities. This paper presents the results of a preliminary study of three children with hemiplegic cerebral palsy, using the reachMAN2, a novel robotic device for the pediatric rehabilitation of upper limb function. The device has two degrees-of-freedom to train pinching, forearm supination/pronation and wrist flexion/ extension movements. An interactive computer game was developed to increase subjects' participation and engagement during the robotic rehabilitation. Pinching, with the index finger and thumb, forearm supination/pronation as well as wrist flexion/extension were trained two or three times a week for 15 minutes each. There was a total of 10 training sessions in four weeks. The results showed significant improvement in movement precision, range of motion as well as motor skill measurements using the Bruininks- Oseretsky Test of Motor Proficiency, Second Edition (BOT-2).
Reinkensmeyer DJ, Burdet E, Casadio M, et al., 2016, Computational neurorehabilitation: modeling plasticity and learning to predict recovery, JOURNAL OF NEUROENGINEERING AND REHABILITATION, Vol: 13, ISSN: 1743-0003
Riillo F, Bagnato C, Allievi AG, et al., 2016, A Simple fMRI Compatible Robotic Stimulator to Study the Neural Mechanisms of Touch and Pain, ANNALS OF BIOMEDICAL ENGINEERING, Vol: 44, Pages: 2431-2441, ISSN: 0090-6964
Rinne P, Mace M, Nakornchai T, et al., 2016, Democratizing Neurorehabilitation: How Accessible are Low-Cost Mobile-Gaming Technologies for Self-Rehabilitation of Arm Disability in Stroke?, PLOS ONE, Vol: 11, ISSN: 1932-6203
Takagi A, Bagnato C, Burdet E, 2016, Facing the partner influences exchanges in force, SCIENTIFIC REPORTS, Vol: 6, ISSN: 2045-2322
Takagi A, Beckers N, Burdet E, 2016, Motion Plan Changes Predictably in Dyadic Reaching, PLOS ONE, Vol: 11, ISSN: 1932-6203
Tjahjowidodo T, Zhu K, Dailey W, et al., 2016, Multi-source micro-friction identification for a class of cable-driven robots with passive backbone, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, Vol: 80, Pages: 152-165, ISSN: 0888-3270
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