Waveform Tracker Alarm for Automatic Patient-Ventilator Asynchrony (PVA) and Mechanical State Recognition for Mechanical Ventilators Using Embedded Deep Learning
The Ateneo Innovation Center designs and develops a modular approach to medical alarm and alert systems for mechanical ventilators that enable clinicians to remotely monitor patient conditions and ventilator circuit status in near real-time, providing decision support that allows for a better diagno...
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Main Authors: | Santiago, Paul Ryan A., Cabacungan, Paul M., Oppus, Carlos M, Mamaradlo, John Paul A., Mercado, Neil Angelo M., Cao, Reymond P., Tangonan, Gregory L |
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Format: | text |
Published: |
Archīum Ateneo
2024
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Online Access: | https://archium.ateneo.edu/ecce-faculty-pubs/160 https://doi.org/10.1007/978-981-99-6523-6_10 |
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Institution: | Ateneo De Manila University |
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