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    Non-invasive IoT sensing and monitoring system for neonatal care

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    Non-invasive IoT sensing and monitoring system for neonatal care.pdf
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    1.956Mb
    Format:
    PDF
    Description:
    Accepted manuscript
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    Type
    Conference Paper
    Authors
    de Oliveira Filho, Jose Ilton
    Da Mota Almeida, Otacilio
    Yousef, Nadya
    Salama, Khaled N. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Sensors Lab
    Date
    2020-03-06
    Permanent link to this record
    http://hdl.handle.net/10754/662389
    
    Metadata
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    Abstract
    The scientific innovation in health systems moves towards non-invasive and wearable approaches to acquire and measure vital signs. Due to its non-invasive nature, infrared (IR) thermography has become the preferred choice for monitoring physiological signals from a distance. Combining IR non-invasive monitoring with the Internet of Things (IoT), we developed a risk management system for neonatal incubators, which has the capability to inform temperature anomalies from the newborn, aiming to prevent or to have a fast-responding action to risk situations such as hypothermia and hyperthermia. With multi-area-temperature monitoring we can detect signs of hypothermia minutes before decrease in core temperature. As a result, the system can record a thermal image from inside the incubator every 0.5 seconds, upload to the cloud every 20 seconds, perform real-time data analysis, activate alarms of possible risk-eminent situations and send notifications with maximum delay of 2 minutes.
    Citation
    De Oliveira Filho, J. I., da Mota Almeida, O., Yousef, N., & Salama, K. N. (2019). Non-invasive IoT sensing and monitoring system for neonatal care. 2019 31st International Conference on Microelectronics (ICM). doi:10.1109/icm48031.2019.9021760
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Conference/Event name
    31st International Conference on Microelectronics, ICM 2019
    ISBN
    9781728140582
    DOI
    10.1109/ICM48031.2019.9021760
    Additional Links
    https://ieeexplore.ieee.org/document/9021760/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICM48031.2019.9021760
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Sensors Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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