@inproceedings{0f598e252d664feaa54b6c069b8ebd3c,
title = "Waveform Tracker Alarm for Automatic Patient-Ventilator Asynchrony (PVA) and Mechanical State Recognition for Mechanical Ventilators Using Embedded Deep Learning",
keywords = "And circular electronics manufacturing, Biomedical monitoring, Emergency ventilator, Near cloud, TinyML",
author = "Santiago, {Paul Ryan A.} and Cabacungan, {Paul M.} and Oppus, {Carlos M.} and Mamaradlo, {John Paul A.} and Mercado, {Neil Angelo M.} and Cao, {Reymond P.} and Tangonan, {Gregory L.}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 11th International Conference on Mechatronics and Control Engineering, ICMCE 2023 ; Conference date: 29-01-2023 Through 31-01-2023",
year = "2024",
doi = "10.1007/978-981-99-6523-6_10",
language = "English",
isbn = "9789819965229",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "129--141",
editor = "Conte, {Giuseppe L.} and Olivier Sename",
booktitle = "Proceedings of the 11th International Conference on Mechatronics and Control Engineering, ICMCE 2023",
}