EEMCS-EE-BSS

My research is interdisciplinary, which applies and develops multi-modal model-based signal processing, sensing and physiological system modeling techniques in the healthcare field. My main research interest is about remote continuous monitoring of individual’s physiological signs (such as, heart activty) and body movement in the daily life for personalized disease prevention and management, especially enthusiastic in using my expertise to tackle challenges about the daily monitoring of physiological (brain and body) responses to dynamic physical activities for different healthcare purposes, such as, helping people stay in healthy and tracking patients' disease symptom for disease management. 

My past and on-going research projects are listed below:

  • EU Horizon Stay Healthy 2022 RIA project to develop daily monitoring algorithms for energy expenditure and stress causing abnormal eating behaviour for obesity prevention in daily life.
  • Dutch Gravitation Programme 2021 project to develop daily monitoring algorithms of people's stress level using multimodal active and passive sensing data.
  • Dutch ZonMw Open Competition 2021 project to investigate intrinsic capacity digital markers extracted from multimodal physiological signals during activities of daily living of the elderly.¬†
  • Dutch NWA project to develop daily monitoring algorithms for people‚Äôs physical and mental condition for osteoarthritis.
  • Early detection of heart disease in people with diabets using multimodal model-based signal processing and dynamic model technologies.
  • Recovery monitoring of hip-fracture¬†patients using wearable movement sensors (Up&Go project).
  • Early detection of clinical adverse events in postoperative patients using remote monitoring techniques (MoViSign and MoViSupport projects).
  • Track¬†elderly people's¬†resilience using digital hand grip strength (Reshape project).
  • Daily monitoring of gait disorder symptoms (freezing of gait) in people with Parkinson's disease (BrainWave project).
  • Daily monitoring of seizures in people with¬†epilepsy (BrainWave project).

I have daily supervised 8 PhD candidates, over 50 master/bachelor students in the filed of biomedical engineering, technical medicine, electrical engineering, embedded system, neuroscience, etc.

I am the committee member of Dutch Electrical Engineering council (EE-NL) which creates the visibility of EE in the Netherlands, discusses topics which involve, require or affect Electrical Engineering research and education on the national level, coordinates initiatives undertaken by the Dutch technical-university faculties of Electrical Engineering in the areas of research, education and valorization, and strengthens the Dutch Electrical Engineering community.

I am the committee member of educational quality committee for Electrical Engineering program at UT to control and give suggestions to improve the education quality for new-generation electrical engineer training.

I am the committee member of UT-EEMCS ethical committee where we review the ethical protocol of research projects involving human participants to ensure that the research projects agree with local and international ethical guidelines.

For more information, please check my LinkedIn.

Expertise

  • Medicine and Dentistry

    • Patient
    • Analysis
  • Nursing and Health Professions

    • Accelerometer
    • Freezing
    • Heart Surgery
    • Mobilization
    • Parkinson Disease
    • Time

Organisations

My research is to develop and use the techniques of wearable sensing, signal analysis,  and dynamic system modelling to solve practical clinical and technical problems during daily remote vital-sign and movement monitoring. Interesting applications include but not limited to the monitoring of individual's mental health, lifestyle, individuals with cardiovascular disease, diabetes, obesity, Parkinson's disease, and epilepsy. 

Publications

2023
Patterns of physical activity over time in older patients rehabilitating after hip fracture surgery: a preliminary observational studyBMC Geriatrics, 23(1), Article 373. van Dartel, D., Wang, Y., Hegeman, J. H., Vermeer, M., Vollenbroek-Hutten, M. M. R., Broersma, B., Brouwer, K., Folbert, E. C., Gerrits, T., Gommers, S. M., Harperink, A. J. M., Hofstra, P. T., Kemerink op Schiphorst, M. M., Lammerink-Smienk, N. M., Luttje, M. P., Marissen-Heuver, D. K., Mars, P. M. M., Nijhuis-Geerdink, M. A. H., Nijmeijer, W. S., ‚Ķ Woudsma, S.https://doi.org/10.1186/s12877-023-04054-2Correction to: Dealing with the heterogeneous presentations of freezing of gait: how reliable are the freezing index and heart rate for freezing detection?: (Journal of NeuroEngineering and Rehabilitation, (2023), 20, 1, (53), 10.1186/s12984-023-01175-y)Journal of neuroengineering and rehabilitation, 20(1), Article 76. Cockx, H., Nonnekes, J., Bloem, B. R., van Wezel, R., Cameron, I. & Wang, Y.https://doi.org/10.1186/s12984-023-01196-7Vital Signs Estimation Using a 26 GHz Multi-Beam Communication Testbed. ArXiv.org. Valls, M. S., Pollin, S., Wang, Y., Hersyandika, R., Kokkeler, A. & Miao, Y.https://doi.org/10.48550/arXiv.2311.11275Improving Automatic Smartwatch Electrocardiogram Diagnosis of Atrial Fibrillation by Identifying Regularity within IrregularitySensors, 23(22), Article 9283. Velraeds, A., Strik, M., van der Zande, J., Fontagne, L., Haissaguerre, M., Ploux, S., Wang, Y. & Bordachar, P.https://doi.org/10.3390/s23229283Missing data imputation techniques for wireless continuous vital signs monitoringJournal of clinical monitoring and computing, 37(5), 1387-1400. van Rossum, M. C., da Silva, P. M. A., Wang, Y., Kouwenhoven, E. A. & Hermens, H. J.https://doi.org/10.1007/s10877-023-00975-wEarly Warning Scores to Support Continuous Wireless Vital Sign Monitoring for Complication Prediction in Patients on Surgical Wards: Retrospective Observational StudyJMIR Perioperative Medicine, 6(1), Article e44483. van Rossum, M. C., Bekhuis, R. E. M., Wang, Y., Hegeman, J. H., Folbert, E. C., Vollenbroek-Hutten, M. M. R., Kalkman, C. J., Kouwenhoven, E. A. & Hermens, H. J.https://doi.org/10.2196/44483Remote vital signs monitoring for early detection of deterioration after surgery. University of Twente. van Rossum, M. C.https://doi.org/10.3990/1.9789036556224Dealing with the heterogeneous presentations of freezing of gait: How reliable are the freezing index and heart rate for freezing detection?Journal of neuroengineering and rehabilitation, 20, Article 53. Cockx, H. M., Nonnekes, J., Bloem, B., van Wezel, R. J. A., Cameron, I. & Wang, Y.https://doi.org/10.1186/s12984-023-01175-y
2022

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University of Twente

Horst - Zuidhorst (building no. 28)
De Horst 2
7522 LW Enschede
Netherlands

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