I am a Technical Physician, specialized in algorithmic physiological signal analysis. I aspire to improve healthcare by bridging worlds between conventional medicine and engineering. Using software engineering I assess medical datasets to model and predict pathological patterns in respiration, neurological output and sleep related signals. After a successful collaboration between the University of Twente and Harvard Medical School during my master thesis project, the Beth Israel Deaconess Medical Center (BIDMC) and the Cardiovascular and Respiratory Physiology (CRPH) faculty of Science Technology of the University of Twente appointed me a position as a PhD candidate. I am currently researching novel prediction features to identify respiratory pathologies from non-invasive signals. 

Expertise

  • Biochemistry, Genetics and Molecular Biology

    • Exercise
    • Sleep
  • Medicine and Dentistry

    • Apnea
    • Hypopnea
    • Analysis
  • Neuroscience

    • Action Potential
    • Motor Unit
    • Polysomnography

Organisations

Publications

2022
Predicting age, cognitive scores, and sleep stages from sleep EEG with a multi-task deep neural network using the Framingham Heart Study, S35-S35. Ganglberger, W., Adra, N., Sun, H., Nasiri, S., Nassi, T., Landolt, H.-P., Huber, R., Thomas, R. J. & Westover, M. B.https://doi.org/10.1016/j.sleep.2022.05.107Automated Scoring of Respiratory Events in Sleep with a Single Effort Belt and Deep Neural Networks, Article 9656654, 2094-2104. Nassi, T. E., Ganglberger, W., Sun, H., Bucklin, A. A., Biswal, S., Van Putten, M., Thomas, R. & Westover, B.https://doi.org/10.1109/TBME.2021.3136753
2021
Impact of stimulus duration on motor unit thresholds and alternation in compound muscle action potential scans, 323-331. Sleutjes, B. T. h. m., Ruisch, J., Nassi, T. E., Buitenweg, J. R., Van Schelven, L. J., Van Den Berg, L. H., Franssen, H. & Stephan Goedee, H.https://doi.org/10.1016/j.clinph.2020.10.026

Research profiles

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