Searched for: contributor%3A%22Marchal+Crespo%2C+L.+%28mentor%29%22
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Krinis, Spyros (author)
Introduction: Movement disorders, such as Cerebral Palsy, prevent children from fully developing their motor coordination abilities reducing their quality of life. Trunk control is a core coordination competency but there is limited variety in sitting based therapies. This paper investigates a theorised trunk support device for children which...
master thesis 2024
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Mulder, Job (author)
Immersive virtual reality (IVR) with head-mounted displays (HMDs) is expanding in various fields like training, but its effects on cognitive load from visual, auditory, and mental stimuli in virtual environments remain uncertain. This is particularly relevant in neurorehabilitation, where patients may suffer from training in overstimulating...
master thesis 2024
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Woernle, Severin (author)
Lower-limb exoskeletons often use trajectory-tracking control to define the device's motion and assistance level. One challenge lies in ensuring a smooth and comfortable interaction between the user and the robotic device by defining a reference trajectory. While recent research has focused on generating individualized gait patterns based on...
master thesis 2024
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Martin Rodriguez, Ruben (author)
The provision of somatosensory information may play a fundamental role in the recovery of stroke patients. Particularly, tactile information is known to influence motor control by contributing to the perception of the weight, friction, and slip condition of objects. Despite this, the inclusion of tactile information through haptic rendering in...
master thesis 2023
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Korzilius, Nikki (author)
While the presence and demand of robotic rehabilitation devices are rising, not many studies have been performed on haptic communication/ telerehabilitation with these devices. Despite therapists' desire to have the possibility to remain in the loop when their patients are performing exercises. This study aims to provide a telerehabilitation...
master thesis 2023
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van der Stoep, Eline (author)
People that are recovering from a stroke need frequent and high-intensity training to regain their upper-limb capacity. This will eventually result in better performances and higher quality of their daily life. Robotic devices are often used to assist stroke patients in rehabilitation. The minimally-supervised portable hand trainer, which is...
master thesis 2023
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Boersma, Caspar (author)
Robots can aid in post-stroke motor function recovery and motor learning through the use of haptic feedback during collaborative training. A clear objective in robotic-assisted motor learning is to adapt the haptic feedback to individual users, but personal characteristics are not yet considered in this adaptation. <br/><br/>We investigated the...
master thesis 2023
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van Rooij, Bob (author)
Virtual training environments are powerful tools for various applications. To increase the immersion and realism of these environments, several devices have been developed capable of rendering a wide range of haptic sensations. As humans mainly interact with objects using their hands, the main focus of research has been on developing devices...
master thesis 2023
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Michael Joseph Sherman, Joseph (author)
Neurological disorders in the nervous and neuromuscular systems affect approximately 260 million people annually and among these 255 million would benefit from rehabilitation [4]. Patients with neurological disorders usually require multi-dimensional rehabilitation, involving physical, cognitive, psychological, and medical help. Children with...
master thesis 2022
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VENUGOPAL, HARSHITHA (author)
Immersive virtual reality (IVR) is an artificially designed environment that can be used to produce realistic and engaging environments which are being used actively in the field of healthcare through training and rehabilitation. The use of IVR nowadays ranges from training surgical operations in a safe environment to neurorehabilitation. IVR...
master thesis 2022
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Kieft, Levi (author)
Rehabilitation robots have been shown to be effective in post-stroke gait rehabilitation. However, these devices are usually expensive and suffer from high inertia which decreases transparency. The Minimally Actuated Tendon-based exercise Environment (MATE) is a tendon-based rehabilitation device, designed to be cost-effective and minimize...
master thesis 2022
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Draukšas, Simonas (author)
Bicycle safety is quickly becoming an increasingly important field as the number of electric bicycles on the streets grows faster each year. E-bikes are able to accelerate quicker and travel at faster speeds than conventional bicycles, increasing the severity of injuries in case of an accident. There are a number of ways to improve safety, such...
master thesis 2022
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Arink, Wouter (author)
In order to improve skill acquisition and neurorehabilitation, we need to improve our understanding of human motor learning. It has been shown that innate variability of movements made by an individual when performing a motor task (motor variability) might enhance skill acquisition. Augmenting motor variability could therefore be a promising...
master thesis 2022
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Kluwen, Daan (author)
Rehabilitation robotics is a rapidly growing field in the engineering industry. Due to the high repeatability of motion, high therapy costs, and lack of proper quantitative assessment of patient status and progress, rehabilitation centers could benefit from the introduction of robotics. One such device already commercially available is the...
master thesis 2022
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Haanen, Bram (author)
Robots can be powerful tools in post-stroke gait rehabilitation. However, state-of-the-art robots are often expensive machines containing rigid links with high inertia. Their expensiveness could limit their availability, and their high inertia reduces transparency, which could hinder rehabilitation progress. These factors raise the need for a...
master thesis 2021
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Nijmeijer, Kirsten (author)
The ability to control and adapt joint stiffness is essential in human motor control. Both control loops on the spinal as well as cortical level are likely to play a role in this regulation. However, the cortical mechanisms involved with the online adaptive control of joint stiffness remain largely unresolved. This study aimed at identifying...
master thesis 2020
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