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Biomedical Signals and Systems (BSS)
UT
Faculties
EEMCS
Disciplines & departments
BSS
Research Projects
Biomedical Signals and Systems (BSS)
UT
Faculties
EEMCS
Disciplines & departments
BSS
Research Projects
Biomedical signals and systems Research projects
2023 - 2026 Fit to purpose project
Sport contributes to a healthy individual, collective happiness, and a productive society.
Unfortunately, (elite) sport has the downside that incorrect or excessive strain can lead to serious injuries. The financial impact of injuries, especially in elite sports, is enormous, running into millions annually.
2023 - 2027 The Vibrating Socks project
The EU-funded Interreg VI project "Parkinson Vibrating Socks" aims to improve the mobility of people suffering from Parkinson's disease. Parkinson's disease is an incurable neurodegenerative condition that primarily occurs in individuals over the age of 60. Currently, about 182 out of 100,000 people are affected by Parkinson's. One of the most limiting symptoms is the phenomenon known as "Freezing of Gait," in which approximately 60% of all people with Parkinson's experience during the course of their illness. Freezing is described as if the feet suddenly stick to the ground, preventing the initiation of the next step, often leading to falls. Consequently, those affected often restrict their daily activities, which in turn reduces their quality of life.
2023 - 2027 RECENTRE: Risk-based lifEstyle Change: daily lifE moNiToring and REcommendations
In 2030, there will be one million people in the Netherlands who have (had) cancer, and more than half of the Dutch population is overweight or obese. Both groups are at risk for severe late effects such as cardiovascular disease and decreased bone health. These risks are influenced by lifestyle factors, which can be changed using targeted interventions. Using smart holistic monitoring in daily-life and adaptive interventions developed with patients and citizens, the RECENTRE project aims to move care from primary/secondary care and come to a lower risk and disease burden of late effects, resulting in a higher quality of life and lower healthcare costs.
2022 - 2030 LoaD project: What is “healthy loading” for patients with osteoarthritis?
Osteoarthritis is a painful, disabling joint disease that affects millions of people. There is no cure for Osteoarthritis.Patients are encouraged to stay physically active, but the optimal joint loading for the individual patient is not known. In the LoaD project, researchers from Medical Centers, Technical Universities, Colleges of Applied Science and companies collaborate to investigate what activity is optimal for an individual patient with knee osteoarthritis and how to coach patients towards healthy loading. With the obtained knowledge we will develop personalised support strategies for use in daily life.
2022 - 2026 X-double-dot project
The x-double-dot project is a collaboration between Movella, a world leader in the field of inertial sensor technology, and the Biomedical Signals and Systems (BSS) group of the University of Twente. The aim of the project is to combine the knowledge of Movella and the BSS group to create new ideas with regard to personalized analysis of 3D human movement analysis using a sparse configuration of inertial sensors, specifically in application areas such as sports and rehabilitation.
2021 - 2025 Veni project: Towards a higher quality of life after cancer: Dynamic prediction, monitoring and recommendations for late effects after breast cancer
Years after cancer, most patients still experience a wide range of health problems that change over time. In this project, individualized dynamic models will be developed that predict late effects after breast cancer over time, monitor patients using heterogeneous data and make recommendations for further actions. Implementing this will tackle the high unmet care needs during and after treatment.
2021 - 2025 Re-Sample Project
RE-SAMPLE is a large-scale European project, coordinated by the Biomedical Signals and Systems (BSS) group from the University of Twente. RE-SAMPLE aims to prevent disease progression in patients with COPD and comorbidities, and aims to empower patients to manage their care. RE-SAMPLE will use Real World Data (RWD) to monitor symptoms beyond scheduled medical check-ups, give physicians, caregivers and patients a unique insight into common, daily triggers that can lead to health complications. Also RE-SAMPLE will support personalized treatment and self-management by personalized coaching and shared decision making, as part of a virtual companionship program.
2021 - ongoing Remote monitoring after colon surgery: towards colon surgery in day care in the MST hospital
More than 14,000 (partial) colon resections or colectomies are proceeded every year in the Netherlands, for example in case of colon cancer. Resection of this organ has a huge impact on the human body which needs physiological adaptations and a long recovery. The goal of this research is reducing hospital stay after colon surgery to daycare in the MST hospital by selecting patients at low risk of complications and using remote monitoring.
2020 - 2027 INTENSE Project - Innovative Neurotechnology for society
The rapid emerging scientific field of neurotechnology may radically change medical practice. This field connects important advances in our understanding of brain function to a recent surge in the technological possibilities to write to and read from the brain. INTENSE brings together academic researchers, medical doctors and companies and patient organizations with the aim to expand the possibilities of linking digital technology to the nervous system to profoundly improve the lives of patients with blindness, deafness, paralysis and epilepsy.
2020 - 2024 Diameter project
The DIAMETER project aims to guide people with Type 2 Diabetes (T2D) to a healthier lifestyle and better glycemic regulation. The DIAMETER is a mobile application that provides monitoring and tailored coaching regarding physical activity, nutrition and glucose levels. The app is used as a supplement to regular care to provide healthcare professionals with objective insights into the lifestyle and glucose regulation of people with T2D. The DIAMETER project is a collaboration between the University of Twente and Ziekenhuisgroep Twente (ZGT).
2020 - 2024 PARTNR Project - Personalized cAnceR TreatmeNt and caRe platform
The PARTNR project develops an intelligent self-learning platform for breast cancer patients with cancer-related fatigue (CRF). In this platform, patients are assessed holistically to give a personalized recommendation for an intervention against CRF. Using monitoring, we will assess the health status of patients over time and make adjustments in the recommendations if necessary. In the PARTNR project, we collaborate with several clinical institutions, companies and patient advocates.
2020 - 2024 INSTANT Project
In the Netherlands, it is estimated that about 17% of the patients who visit a physiotherapist have knee related problems. Among these patients, anterior cruciate ligament (ACL) injury and knee osteoarthritis are the most common complications that require long term rehabilitation. To design and plan rehabilitation protocols, the physiotherapists currently depend on subjective visual assessments to determine the functional status of patients and monitor progress of the knee over time. To optimally treat patients recovering from an ACL injury, it is important for the physiotherapist to gain insight into knee angles and net knee moments. For patients with knee osteoarthritis, it is important to gain insight into the foot placement relative to the pelvis and the knee abduction and adduction angles for better understanding and optimizing loading of the knee.
2017 - ongoing Optimal care for frail elderly with a hip fracture:decision support for surgery
Hip fractures are a significant health care problem in the elderly, affecting 1.5 million people per year worldwide. Identification of patients at high risk for early mortality is beneficial, to inform the patient about the prognosis of hip fracture surgery and to customize care. Aim of this project is to use both data-driven and structured expert judgement approaches to come to clinical decision support for decisions on hip surgery for frail elderly.
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