The symposium
The first ICMS event, on December 3, 2021 is about launching our ICMS ideal. The Interdisciplinary Consortium of Movement Disorders and Technologies (ICMS) brings together clinical partners, business relations and researchers. By putting cooperation ahead of competition against each other, greater achievements become possible than without this content-driven joining of forces. Cooperation and long-term planning lead to greater stability and long-term continuity in research. Cooperation with public and private players and with citizens, the users of care, is the starting point. Technological innovation helps to create, discover and set out advances to improve our patient's journeys. We believe that collaboration, community building, and (inter-)national impact are at the core of this event.
“You can only multiply if you know what sharing is: we believe that knowledge is the only commodity that increases with use.”
The programme
10.00 - 10.05 | Welcome & Introduction |
10.05 - 10.20 | The why & ideal of ICMS |
10.20 - 11.00 | Meet ICMS high potential generation PhD researchers - 1 1. Dynamic CT imaging in knee surgery |
11.00 - 11.15 | Break |
11.15 - 11.45 | Meet ICMS high potential generation PhD researchers - 2 Metastatic bone strength prediction using deep learning-based lesion segmentation Supporting the hand function of spinal cord injury patients |
11.45 - 12.00 | Wrap up, reflection and closure |
The speakers
- Eline van Staveren MSc
Towards a smart and intuitive controlled leg prosthesis: acquisition of intramuscular electromyography for motion intention detection. A pilot study.
Objective: This pilot study explores the use of intramuscular EMG (iEMG) and targeted muscle reinnervation (TMR) to improve motion intention detection in transfemoral amputees. The hypothesis is that iEMG will improve intention detection because of reduced crosstalk and more consistent electrode sites. The TMR sites will provide valuable extra information for motion intention detection. Methods: A study population of able-bodied individuals (n=5), transfemoral amputees (n=5), and transfemoral amputees with TMR (n=5) will be included in this observational study. During the measurements iEMG (fine-wires), sEMG (multi-array) and lower body kinematics are measured while participants execute activities like sitting down, walking on uneven terrain, and stair/ramp ascend/descend. Results: Preliminary results will be presented.
Biography
Eline received her MSc in Technical Medicine at the University of Twente in 2017. Her field of interest is clinical practice in combination with development and application of medical technology. Innovation through new signal analyzation methods is her focus area, with patient-relevant improvements as a priority. As a junior researcher at RRD one of the projects she contributes to is the MyLeg project.
- Hans Dunning
Dynamic CT imaging in knee surgery
Many orthopeadic conditions have a cause that is dynamic of nature. Meanwhile, current diagnostic imaging is obtained while the patient is lying still on their back. The effect of joint motion and the influence of soft tissues such as muscles or ligaments is thereby ignored.
Dynamic CT imaging is a method that allows for imaging while the patient is actively moving their knee. The technique can provide crucial information with about the patient-specific cause of knee alignment disorders.
This presentation will explain how this technique is used in clinic and research at the Radboudumc.
Biography
Born and raised in Groningen and currently living in Amersfoort. I studied biomechanical engineering at the University of Groningen and ended up at the Radboudumc for my graduation project. I am currently in the final year of my PhD project, where I focus on the implementation of dynamic CT imaging in the preoperative surgical planning of patients with knee alignment disorders. In my spare time you can find my on my roadbike, mountainbike or in the shed working on (numerous) DIY projects.
- Rosanne van Dijsseldonk PhD
Exoskeleton skill acquisition and home use
A consequence of a complete spinal cord injury (SCI) is the loss of gait capacity. Wearable exoskeleton use offers people with a complete SCI the prospect of vertical mobility, in this case the ability to stand and walk. However, learning to use an exoskeleton is time consuming and the amount of training needed for exoskeleton skill acquisition differs strongly from person to person. In this presentation, both the feasibility of exoskeleton training for home and community use and the actual exoskeleton home and community use in people with complete SCI will be discussed.
Biography
Rosanne van Dijsseldonk obtained her Bachelor of Education degree at Fontys Sporthogeschool Tilburg in 2014 and her Master of Science degree for the study Human Movement Sciences at the Vrije Universiteit Amsterdam in 2015. She completed her PhD in May 2021 with her dissertation titled “Step into the future: Mobility after spinal cord injury.” This PhD research was performed at the research department of the Sint Maartenskliniek and the rehabilitation department of the Radboudumc. Currently, Rosanne is working as a researcher at the rehabilitation department of the Sint Maartenskliniek and as an application engineer at Onward Medical.
- Claudia Haarman MSc
Supporting the hand function of spinal cord injury patients
In this presentation we will discuss the development of an innovative robotic hand exoskeleton that supports the weakened hand function of individuals with spinal cord injury (SCI). The exoskeleton supports the lateral pinch grip. This frequently used grasp allows patients to complete a wide variety of tasks, including picking up and manipulating objects of different sizes and weights. To support the lateral pinch grip and release of the object, the system actuates the thumb movement.
Biography
MSc. Claudia Haarman (female) is head of the engineering department at Hankamp Rehab with over nine years of experience in biomechanical engineering and exoskeleton development. She received her M.Sc. degree in Biomedical Engineering from the University of Twente, Netherlands (2012), and a Professional Doctorate in Robotics (2016), also from the University of Twente. Currently, she is pursuing a doctoral degree focusing on the development of assistive and rehabilitation exoskeletons for the upper limb.
- Ali Ataei MSc.
Metastatic bone strength prediction using deep learning-based lesion segmentation
Bone is the most frequent tissue affected by cancer metastases. Assessing fracture risk is important to determine treatment plans, but is challenging using the current available methods. Recent studies reported that finite element models (FEM) improved fracture risk prediction compared to clinical assessment for femurs affected with osteolytic metastases. However, there is still room for improvement and the application of FEM on osteoblastic metastases has not been studied yet. Therefore, we aim to improve the performance of the FEM by segmenting the metastases and adapting their mechanical properties in the FEM. Since manual segmentation of bone metastases appeared to be unreliability, we developed a deep learning segmentation method.
This presentation shows how we implemented deep learning algorithms to detect osteolytic and osteoblastic bone metastasis within the femur, followed by adapting the mechanical properties of the segmented metastases in the FEM.
Biography
I studied biomedical engineering, field of biomechanics at Iran University of Science and Technology. In 2018, I moved to the Netherlands and started as a PhD student at the Orthopaedic Research Lab, Radboudumc. My research project focuses on development of deep neural networks to detect and segment femoral bone metastases followed by implementing obtained automatic segmentations to improve finite element models predicting metastatic bone strength.
Practical information
Where & When
- 03 December 2021
- 10.00 - 12.00
- Language: English
- Location: Digital (three days in advance you will receive the link to the livestream)
Update 17-11: We have decided that, due to the increasing COVID-19 infections and it focuses on healthcare professionals, this event will take place digitally, and from 10.00 AM to 12.00 PM.
For whom
This symposium is relevant for experts such as clinicians, paramedici, engineers, senior and junior scientists, patient representatives and other interested stakeholders i.e. from industry and society, who are working in the field of and/or interested in movement disorders and technologies.
Registration
To participate in this symposium you need to register yourself. You can do this via this link. After registration, you will receive an email a few days prior to the event with practical information, including a link to the livestream. If you are unable to participate, please unsubscribe via this email.
Organization
ICMS is aimed at improving the quality of life and maintaining independence and social participation of people suffering from movement disorders. This goal will be achieved through joint and interdisciplinary scientific research focused at innovation whereby a close cooperation exists between scientists, private health funding organizations and innovative companies.
ICMS is a unique partnership between the Sint Maartenskliniek (a specialized hospital entirely focused on movement disorders), the Radboud University Medical Centre, the Radboud University, the University of Twente, Roessingh Research & Development (RRD), Roessingh Rehabilitation Centre working together with science driven companies (national and international). ICMS has the ambition of becoming a national research centre and additional partners are welcomed. ICMS research is on the one hand driven by curiosity and the ambition to belong to the international scientific top, and on the other hand driven by a felt social responsibility to contribute to providing solutions for the future of our health care system.
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