T. Nassi (Thijs) | University of Twente

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.

Engineering & Materials Science

# Deep Learning
# Deep Neural Networks
# Health
# Neural Networks
# Sleep

Medicine & Life Sciences

# Action Potentials
# Muscles
# Neuromuscular Diseases

Faculty of Science and Technology (TNW), Cardiovascular and Respiratory Physiology (CRPH)

Ganglberger, W., Adra, N., Sun, H., Nasiri, S. , Nassi, T., Landolt, H.-P., Huber, R., Thomas, R. J., & Westover, M. B. (2022). Predicting age, cognitive scores, and sleep stages from sleep EEG with a multi-task deep neural network using the Framingham Heart Study. Sleep Medicine, 100(Suppl. 1), S35-S35. https://doi.org/10.1016/j.sleep.2022.05.107

Nassi, T. E., Ganglberger, W., Sun, H., Bucklin, A. A., Biswal, S. , Van Putten, M., Thomas, R., & Westover, B. (2022). Automated Scoring of Respiratory Events in Sleep with a Single Effort Belt and Deep Neural Networks. IEEE transactions on biomedical engineering, 69(6), 2094-2104. Article 9656654. https://doi.org/10.1109/TBME.2021.3136753

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. (2021). Impact of stimulus duration on motor unit thresholds and alternation in compound muscle action potential scans. Clinical neurophysiology, 132(2), 323-331. https://doi.org/10.1016/j.clinph.2020.10.026

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t.nassi@utwente.nl

tnassi@mgh.harvard.edu

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Science and Technology (TNW), Cardiovascular and Respiratory Physiology (CRPH)

University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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