Bob van Hilten, MD, PhD
J.J. (Bob) van Hilten is professor in Movement Disorder Neurology and chair of the neurology residency program at the Leiden University Medical Center. He has a longstanding experience in research in the field of PD and other movement disorders and was one of the first researchers to explore the potential of wearable technology in the assessment of PD. He is the PI of the Technology in Motion consortium, as well as the SCOPA-PROPARK project (funding 1998 – onward) in which measurement instruments were developed to evaluate PD (SCOPA-rating scales), and subsequently research has focused on profiling of patients (PROfiling PARKinson: PROPARK) on different levels, i.e. clinical, MRI, molecular and genotype, with the ultimate objective to obtain a better understanding of how underlying pathobiology influences phenotypic expression of the disease. The PROPARK cohort is one of the most extensively characterized cohorts of PD patients worldwide, which is the reason why this cohort participates in the International Parkinson Disease Genomics Consortium. From 2004 to 2012, Bob van Hilten was the scientific director of the TREND research consortium, which focused on Complex Regional Pain Syndrome and provided a substantial contribution to the understanding of the disorder and laid the basis for international collaboration of researchers in this field. For the collective effort he was awarded by the queen the title of Officer of the Order of Orange-Nassau. Bob van Hilten has published over 225 peer-reviewed papers, with an H-index of 43.
Boudewijn Lelieveldt, PhD
Boudewijn P.F. Lelieveldt is professor at the Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands, where he is heading the Divison of Image Processing (LKEB). He is also appointed as Medical Delta professor at the Department of Intelligent Systems, Delft University of Technology, Delft, the Netherlands in the context of the Medical Delta consortium. He was awarded a prestigious NWO VIDI personal grant in 2001, and serves as a member of the Editorial Board of Medical Image Analysis and the International Journal of Cardiovascular Imaging, and is an Associate Editor of IEEE Transactions on Medical Imaging. He is program and organization committee member for several international conferences, has co-chaired Information Processing in Medical Imaging 2007 (IPMI 2007), and is program chair of ISBI 2016 in Prague. His main research interest is computer vision and data analytics, with applications in clinical imaging modalities, biology and genetics.
Linda van Schaik – Bank, PhD
Linda van Schaik – Bank has been working at the LUMC Department of Neurology since 2009. Her research has focused on the assessment of arm and hand motor function in patients with neurological disorders such as stroke, Parkinson’s Disease, and Complex Regional Pain Syndrome. As a human movement scientist, she strives to build a bridge between clinicians and engineers involved in the TiM project, working together to develop a low-cost setup for unobtrusive and objective quantification of motor (dys)function and its underlying determinants.
Linda has acquired experience with motion analysis in various patient groups and ‘marker-less’ motion capture systems (e.g., based on KinectTM) in her previous research projects (e.g., NEURAS). Within TiM, the marker-less assessment of arm and hand function will be further developed and extended to include augmented reality (AR) for evaluation of reach-and-grasp tasks (together with Marina Cidota) as well as pattern-recognition algorithms (for off-line post-processing of the raw RGB-data and depth data; together with Julian Kooij). Systematic manipulations of task and environmental factors will be exploited to test the patients’ adaptive capacities. This may not only lead to understanding of the motor and cognitive factors contributing to the motor dysfunction of a patient, but may also provide a more sensitive indicator of problems experienced in daily life than currently obtained with standard clinical tests.
Marina Cidota, PhD
Marina Cidota has been working at the TU Delft since 2014. Her current research is focused on designing for engagement and awareness in a collaborative system, using different interaction techniques and establishing virtual co-location in merging realities. Possible applications can be found in the security domain, in medicine and in certain training contexts. In the TiM project, her research focuses on combining Augmented Reality novel technologies, serious gaming and marker-less tracking of the human body for unobtrusive, cost-effective and patient-friendly methods for objective assessment of upper extremity motor dysfunction.
Daphne Geerse, MSc
Daphne Geerse studied Human Movement Sciences at the Vrije Universiteit in Amsterdam and started her PhD research in 2014. Within the TiM project, her research focusses on implementing the Interactive Walkway as an assessment tool of walking and walking adaptability to determine risk of falling in various patient groups.
Jan van Gemert, PhD
Jan van Gemert received a PhD degree from the University of Amsterdam. There he was a post-doctoral fellow as well as at École Normale Supérieure in Paris. Currently he is an assistant professor in Computer Vision at Delft University of Technology. His research interests include visual encodings, image and video categorization, action and object recognition and localization. In this field he has published over 50 papers where several are cited more than 100 times.
Jurriaan de Groot, PhD
Jurriaan H. de Groot received his M.Sc. degree (1988) in Biology from the Wageningen University and his Ph.D. degree (1997) in Biomechanical Engineering from the Delft University of Technology where he defended his thesis ‘The Shoulder, A kinematic and dynamic analysis of motion and loading’. He was a post-doc researcher associated to the dept. of Biology at the Leiden University involved in kinematics and biomechanics of reptile tongues, e.g. snake tongue flicking and chameleon tongue projection.
In 2001 he became senior researcher at the dept. for Rehabilitation Medicine at the Leiden University Medical Center where he heads the Laboratory for Kinematics and Neuromechanics. Since 2008 he hold a position as an Assistant Professor. His research focus is on the biomechanics of the shoulder (massive rotator cuff tears and sub-acromial pain syndrome), and the contribution of neural and non-neural contractile and connective tissue factors in patients with spasticity after Stroke, CP and Spinal Cord Injury.
He is/was principal co-investigator on different Reumafonds, ZonMW and STW funded projects and published over 60 papers in peer reviewed journals.
Julian Kooij, PhD
Julian Kooij performed his PhD research at the University of Amsterdam, during which period he has also been employed in part at Daimler Research and Development, Ulm, Germany. His research interests include machine learning and Bayesian methods for computer vision, with a focus on analysis of motion dynamics. In the TiM project, his research addressed tremor assessment using unobtrusive computer vision methods, and machine learning techniques to detect and classify deviating motion dynamics. Since May 2016, he is appointed as assistant professor at the Delft University of Technology.
Stephan Lukosch, PhD
Stephan Lukosch is associate professor at the Delft University of Technology. His current research focuses on virtual co-location. Individuals can be virtually at any place in the world and coordinate their activities with others and exchange their experiences. By using augmented reality techniques to merge realities additional information can be provided and visualized, thereby fostering shared understanding. By merging realities complex problems can be solved, complex trainings can be supervised, or complex activities can be guided without all interacting individuals being physically at the same place. In his research, he combines his recent results from intelligent and context-adaptive collaboration support, collaborative storytelling for knowledge elicitation and decision-making, and design patterns for computer-mediated interaction. In the TIM project, he explores in how far virtual co-location in combination with serious gaming can contribute to an objective evaluation of human motor dysfunction.
Han Marinus, PhD
Han Marinus is an associate professor at the department of neurology of the Leiden University Medical Center, where he conducts and supervises clinical research, mainly in the field of Parkinson’s disease and Complex Regional Pain Syndrome (CRPS). He was educated as a physiotherapist, human movement scientist (with distinction), and epidemiologist. He has developed several measurement instruments in the field of Parkinson’s disease, including the SCOPA-COG (cognition) and SPES/SCOPA (motor function), and is member of the Scales Development Committee of the International Parkinson and Movement Disorders Society. He is the co-PI of various Parkinson’s disease cohort studies, including the SCOPA (>400 patients) and PROPARK (>300 patients) cohorts. Han Marinus has published over 100 papers in international peer-reviewed journals and reviews for over 25 journals and grant awarding bodies.
Carel Meskers, MD, PhD
Carel Meskers is a medical doctor who obtained his PhD on the assessment of shoulder disorders introducing engineering concepts into clinical practice. After his training in physical medicine and rehabilitation in Amsterdam he became a consulting specialist in rehabilitation medicine at Leiden University Medical Center. Since 2014 he is consulting specialist in neurorehabilitation at VU Medical Center, Amsterdam and medical director of the Innovative Medical Devices Initiative (IMDI) consortium “Neurocontrol”: a close collaboration between medical doctors, engineers, scientists and entrepreneurs to facilitate healthcare sustainability. Carel Meskers specializes in assessment and treatment of motor disorders in patients with upper motor neuron diseases. His research focuses on the understanding of neuromechanical changes as a linking pin between motor, sensory and higher brain function to reduce impairment. He is PI and co- PI of several key research projects such as PROFITS (Precision profiling to improve long-term outcome after stroke), EXPLORE- stroke (Exploring Plasticity after stroke, www.hersenstichting.nl), EXPLICIT (Explaining Plasticity after stroke, www.explicit-stroke.nl), BALROOM (Balance Test Room, www.neurosipe.nl), NeurAS (NEURoControl- Assessment and Stimulation, www.medicaldelta.nl) and ROBIN (ROBot aided system Identification: novel tools for diagnosis and assessment in Neurological rehabilitation, www.neurosipe.nl). He holds a fellowship from the Dutch Brain Foundation (Hersenstichting).
Silvia Pintea, PhD
Silvia-Laura Pintea received her PhD degree in Computer Vision at the University of Amsterdam in 2017 in the Intelligent Sensory Information Systems group, under the supervision of prof. dr. ir. Arnold Smeulders, with the thesis “Continuous Learning in Computer Vision” focusing on motion prediction, action recognition and object localization. She worked as an R&D Engineer at Blippar, towards large-scale image retrieval. Currently she is employed at the Delft University of Technology as a Postdoctoral Research Fellow in the Technology in Motion (TIM) project with the Leiden University Medical Center, focused on diagnosing and treatment of motor diseases.
Melvyn Roerdink, PhD
Melvyn Roerdink is assistant professor at the Department of Human Movement Sciences at Vrije Universiteit Amsterdam. He has a strong track record in applying fundamental theoretical and technical concepts to the study of walking. To better understand walking-related falls, he seeks to attune diagnosis and treatment to major contributors of falls. His research revealed a group-dependent interplay between task complexity, self-selected walking speed, attentional costs of walking, walking performance and task prioritization, implying that for an in-depth understanding of walking one requires a comprehensive assessment. To accommodate that, he invented and developed the patented rehabilitation treadmill C-Mill and the Interactive Walkway, systems augmented with gait-dependent visual context (both systems are commercially available via Motekforce Link, an industrial partner of TIM).
In 2015, he has been awarded as the promising young scientist of the International Society for Posture and Gait Research (ISPGR, Seville, Spain). In the TIM project, he will test the premise that a more task-specific walking assessment yields 1) a better identification of those at risk of falling during walking and 2) a better understanding why someone is at risk, allowing for patient-tailored fall-prevention interventions.
Niels Dekker – Scientific programmer
Niels Dekker is scientific programmer at the LKEB, Division of Image Processing of the LUMC.
In 1992, Niels obtained his master’s degree Computer Science, at the VU University Amsterdam. His master project was about area estimation of cell nuclei, at VUmc department of Pathology. In 1996 – 1998 he developed software for sleep disorder analysis at Medcare Automation, Amsterdam. From 1998 to 2002, he worked as researcher and programmer on image registration at the Netherlands Cancer Institute/Antoni van Leeuwenhoek, department of Radiotherapy. From 2003 to 2005, he developed and supported database applications at HES Amsterdam, HvA, Amsterdam University of Applied Sciences.
From 2005, Niels has been working at LKEB, contributing to applications for the analysis of intravascular images, using Visual C++. From April 2015 to April 2017, he joined the TiM project for two days per week, contributing to the development of our Unity/C# based TiM software package.
Elma Ouwehand – Lab assistant
Elma Ouwehand graduated in the Human Movement Sciences at the Vrije Universiteit in Amsterdam in 2015. After her study, she started as research assistant at the TIM project. Between 2015 and 2017, she was a.o. involved within research projects on the assessment of arm and hand motor function and evaluation of gait adaptability in patients with neurological disorders such as stroke and Parkinson’s Disease.
dr. Ahmad Aziz
dr. Erik Niks
Center for Human Drug Research
CleVR specializes in developing highly interactive custom-designed virtual reality simulation systems for therapy or training purposes. CleVR software and hardware are, for example, used for the treatment of phobias, such as fear of flying and heights. Currently the software is also used during clinical trials for the treatment of Psychosis/Social-Phobia. The participant is fully immersed in a virtual environment, having a realistic 3D experience that is scientifically proven to be more efficient than conventional methods.
Cinoptics is a leading manufacturer of Augmented Reality and Virtual Reality solutions and has been serving the industry for more
than 17 years. Cinoptics defines, designs and manufactures electronic optical systems for integration in Virtual and Augmented
Reality applications and is specialized in producing high-end Head/Helmet Mounted Displays, Handheld, Virtual Binoculars
and Virtual Microscopes with the most flexible electronics platform and highest quality optics in the industry. In addition to off the shelf products, Cinoptics provides “building blocks” that enables customers to cost effectively create their own products.
In July 2014, the companies Motek Medical and Force Link merged. The new company, Motekforce Link, combines more than fifteen years of experience in high-quality rehabilitation technologies and real-time feedback, using virtual reality techniques. A first major milestone for Motekforce link was the announcement of the merger with DIH Technologies on April 20th of 2015. DIH is an international player and aspiring market leader in the field of Rehab & Sports Medicine and Intelligent Medication & Supply businesses, with passionate teams in San Diego, Soul, Hong Kong, Beijing and Amsterdam.
LUMC is a modern university medical center for research, education and patient care with a high quality profile and a strong scientific orientation. The LUMC strives for continual improvement in the quality of healthcare. We offer employees opportunities to discover and develop their talents.
TU Delft collaborates with a large number of other educational and research institutes within the Netherlands and abroad and has a reputation for high-quality teaching and research. TU Delft has extensive contacts with governments, trade organisations, consultancies, the industry and small and medium-sized companies.
Ever since it was founded in 1880, VU University Amsterdam has been known for its distinctive approach to knowledge. VU is an open organization, strongly linked to people and society. What matters is not just the acquisition of a greater depth of knowledge, but also a wider one. We ask and expect our students, researchers, PhD candidates and employees to look further – to look further than their own interests and their own field, and further than what is familiar and further than the here and now.