Our
Research Partners

Keep Control

For the third time Motek is a proud partner in an Marie-Curie International Training Network funded by the European Committee within the Horizon 2020 framework. The Keep Control consortium received over three million euros by the EU to employ and educate 12 PhD students that will aim to gain a better understanding and treatment of balance and gait deficits in older adults. Amongst these future scientists is Markus Rieger, who will investigate whether a perturbation-based gait training can prevent future falls. The training will be provided on the C-Mill using some newly developed features  to simulate trips and slips while distracting people with cognitive dual-tasks.

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VU Amsterdam Katholieke Universiteit Leuven University Medical Center Groningen And more...

Citius Altius Sanius

Motek is proud partner in the “Citius, Altius, Sanius” program which received four million euros funding from the NWO. The aim is to develop advanced wearable sensors measuring physical and physiological parameters during sports activities. Using data sciences techniques, personalized feedback will be provided to individual athletes to improve performance and prevent injuries. During the kick-off meeting 22.02.2018 at Top-sports Center Papendal in the Netherlands, the first steps in the 4 years collaboration were made.

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TU Delft sports engineering institute VU Amsterdam KNVB Sheffield Hallam University 2M Engineering And more...

NeuroCIMT

The NeuroCIMT program, consisting of 8 research projects and funded four million euros by the NWO, aims to develop novel ways of monitoring and treating neurological diseases and sensory impairments. Motek is an important partner and directly involved in two projects. The Ambulatory Sensing project will develop a sensing system that stroke patients can wear at home. This system will be developed and validated on the GRAIL with our D-Flow software and provides feedback to prevent maladaptive strategies and non-use of the paretic limb. In the Reflexioning project a training device will be developed for patients suffering from spasticity. With use of a serious game developed by Motek in D-Flow, these patients will be trained to reduce their muscle reflex activity.

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VU University Medical Center University of Twente Sint Maartens Kliniek 2M Engineering And more...

MD-Paedigree

MD-Paedigree will develop and evaluate a scaling method for children, to be applied in existing NMS models used in clinical gait analysis (CGA), taking into account subject specific bony deformities. Also antropometric measures and DXA will be explored and pathology specific muscle parameters will be taken into account. MD-Paedigree will  re-use the HBM Motek model for real time CGA, in order to assess the function and performance of the underlying muscle activation, muscle forces, and joint loads to unravel the aetiology of the pathological gait pattern of patients.

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Technical University Delft, department of biomedical engineering, the Netherlands Ospedale Pediatrico Bambino Gesù, Italy Siemens AG, Germany Katholic University Leuven and University Hospital Leuven, Belgium Università degli Studi di Roma “La Sapienza”, Italy University of Sheffield, United Kingdom

Moving Beyond

We will use postural control tasks, walking tasks with assessment of visuomotor interactions, and a spatial navigation task. Implementation of the tasks will be performed by synchronization between the VR scenario, control of the balance platform and EEG data acquisition. Patients recruitment will be performed in close collaboration with the Parkinson Center Nijmegen.

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Tuebingen University University College of London Hocoma Radboud University Nijmegen Tel Aviv Sourasky Medical Center Robert Bosch Healthcare

NeuroSIPE

In the BALROOM project, mechanical and sensory perturbations are applied to perturb human subjects and to identify the underlying mechanisms of balance control. To identify the stabilizing mechanisms to keep the body upright, Closed Loop System Identification Techniques (CLSIT) are being developed. We have adopted an alternative identification technique: the Prediction Based Subspace Identification (PBSID) method, which has several advantages over the previous non-parametric CLSIT.

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Technical University Delft University of Twente Amsterdam Medical Center

COMMIT – Virtual worlds for well-being

The overarching question is how to create affective virtual worlds in which users can have rich and rewarding experiences. The scientific objectives are to research new technology to measure the emotional state and intended behavior of users, mimic this in their avatars and develop algorithms to express emotion and social interaction in virtual characters.

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University of Amsterdam, the Netherlands University of Twente, the Netherlands Utrecht University, Waag Society, the Netherlands Philips Research Amsterdam University of Applied Sciences, the Netherlands CGI – Group, Logica, the Netherlands