Projecten per jaar
Persoonlijk profiel
Research profile
Elisabetta Peri is an assistant professor in the Signal Processing System group (Electrical Engineering Department) and member of the Biomedical Diagnostic Lab of the Eindhoven University of Technology.
Her research focuses on biomedical signal processing, with specific interest on electrophysiological signals for neuromuscular, respiratory and cardiac investigations. The ultimate aim of her research is to use advanced signal processing methods to enable non-obtrusive patient monitoring through electrophysiological signals and sweat sensing.
Academic background
Elisabetta Peri received her Master of Science in Biomedical Engineering at Politecnico di Milano (Milan, Italy) in 2013. In 2017 she obtained a doctoral degree in bioengineering at Politecnico di Milano, in collaboration with two scientific hospitals, working in the field of neurorehabilitation. Her PhD thesis aimed at quantifing possible neural correlates of functional recovery for patients with congenital (cerebral palsy) or acquired (stroke, brain tumor, Parkinson disease) brain injuries.
In March 2019, she joined TU/e as a postdoc, focusing her research in electrophysiological monitoring.
Expertise gerelateerd aan duurzame ontwikkelingsdoelstellingen van de VN
In 2015 stemden de VN-lidstaten in met 17 wereldwijde duurzame ontwikkelingsdoelstellingen (Sustainable Development Goals, SDG's) om armoede te beëindigen, de planeet te beschermen en voor iedereen welvaart te garanderen. Het werk van deze persoon draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en):
Vingerafdruk
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Projecten
- 2 Actief
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TKI-HTSM/21.0219/TKI2112P11 PISANO SPS: Perioperative Innovations, Sleep Apnea and Newborn Opportunities
van der Hagen, D. (Project communicatie medewerker), Long, X. (Projectmedewerker), Turco, S. (Projectmedewerker), Varisco, G. (Projectmedewerker), Peri, E. (Projectmedewerker), Stevens, T. S. W. (Projectmedewerker), Barbagini, A. (Projectmedewerker), de Vries, T. (Projectmedewerker), Kuhn, J. (Projectmedewerker), Schiphorst, L. (Projectmedewerker), Mischi, M. (Project Manager), Bergmans, J. W. M. (Projectmedewerker), Belt, H. J. W. (Projectmedewerker), Woerlee, P. H. (Projectmedewerker) & Wulterkens, B. M. (Projectmedewerker)
1/09/21 → 31/08/26
Project: Third tier
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TKI-HTSM/1912P08 PICASSO SPS: Perlnatal, CArdiovascular and Sleep medtech Solutions
van der Hagen, D. (Project communicatie medewerker), Peri, E. (Projectmedewerker), van der Aar, J. (Projectmedewerker), Peng, Z. (Projectmedewerker), van Gorp, H. (Projectmedewerker), Mischi, M. (Project Manager), Long, X. (Projectmedewerker), Bester, M. (Projectmedewerker) & Bergmans, J. W. M. (Projectmedewerker)
1/01/20 → 31/12/25
Project: Third tier
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Optimizing wearable single-channel EEG sleep staging in a heterogeneous sleep-disordered population using transfer learning
van der Aar, J. F. (Corresponding author), van Gilst, M. M., van den Ende, D. A., Fonseca, P., van Wetten, B. N. J., Janssen, H. C. J. P., Peri, E. & Overeem, S., 1 feb. 2025, In: Journal of Clinical Sleep Medicine. 21, 2, blz. 315-323 9 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
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A spatiotemporal deep-learning model for force estimation from surface electromyography
Simon, P.-E., Peri, E., Long, X., Van Dijk, J. P. & Mischi, M., 29 jul. 2024, 2024 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024. Institute of Electrical and Electronics Engineers, 5 blz. 10596729Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand -
Deep Transfer Learning for Automated Single-Lead EEG Sleep Staging with Channel and Population Mismatches
van der Aar, J. (Corresponding author), van den Ende, D., Fonseca, P., van Meulen, F., Overeem, S., van Gilst, M. M. & Peri, E., 5 jan. 2024, In: Frontiers in Physiology. 14 - 2023, 14 blz., 1287342.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand3 Citaten (Scopus)91 Downloads (Pure) -
Estimating respiratory effort through diaphragmatic electromyography on simulated airway obstructions
Grońska, G., Peri, E., Long, X., van Meulen, F., van Dijk, J. P. & Mischi, M., 29 jul. 2024, 2024 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024. Institute of Electrical and Electronics Engineers, 6 blz. 10596884Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand1 Downloads (Pure) -
Estimation of the Number of Active Sweat Glands Through Discrete Sweat Sensing
Haakma, J. R., Peri, E. (Corresponding author), Turco, S., Pelssers, E., den Toonder, J. M. J. & Mischi, M., 2 nov. 2024, In: Sensors. 24, 22, 19 blz., 7187.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand3 Downloads (Pure)
Datasets
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Changes in leg cycling muscle synergies after training augmented by functional electrical stimulation in subacute stroke survivors: a pilot study
Ambrosini, E. (Ontwerper), Parati, M. (Ontwerper), Peri, E. (Ontwerper), De Marchis, C. (Bijdrager), Nava, C. (Ontwerper), Pedrocchi, A. (Ontwerper), Ferriero, G. (Ontwerper) & Ferrante, S. (Ontwerper), Figshare, 28 feb. 2020
DOI: 10.6084/m9.figshare.c.4874835, https://springernature.figshare.com/collections/Changes_in_leg_cycling_muscle_synergies_after_training_augmented_by_functional_electrical_stimulation_in_subacute_stroke_survivors_a_pilot_study/4874835
Dataset