Alarm-Limiting AlgoRithm-based Monitoring

Project: Onderzoek direct



Preterm infants in a neonatal intensive care unit (NICU) require continuous monitoring as their life is at serious risk. In current patient monitoring based on vital signs, however, multiple alarms are generated for the same critical event, causing alarm fatigue of caregivers and stress in patient and parents. Moreover, detection of clinical deterioration with vitals crossing predefined boundaries can only be done in hindsight, whereas an early warning of such deterioration would be much more valuable. Finally, current monitoring involves a variety of obtrusive sensors and wiring, interfering with the babies’ well-being. This projects aims to bring patient monitoring beyond current state of the art by fusing the vitals and use video monitoring to reduce false alarms; employing data analytics to detect deterioration earlier; and using video techniques for robust motion detection and unobtrusive monitoring.
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Effectieve start/einddatum15/06/1714/06/21


  • 1 Conferentiebijdrage
  • 1 Tijdschriftartikel

Camera-based on-line short cessation of breathing detection

Lorato, I., Stuijk, S., Meftah, M., Verkruijsse, W. & De Haan, G., 28 okt 2019, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. Institute of Electrical and Electronics Engineers, blz. 1656-1663 8 blz. 9022052

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
  • 12 Downloads (Pure)

    Unobtrusive respiratory flow monitoring using a thermopile array: a feasibility study

    Lorato, I., Bakkes, T., Stuijk, S., Meftah, M. & de Haan, G., 15 jun 2019, In : Applied Sciences. 9, 12, 15 blz., 2449.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
  • 1 Citaat (Scopus)
    100 Downloads (Pure)