Detection of human airway impairment using signal processing / Daryl John F. Lorenzo [and four others].
Material type:
TextPublication details: Manila : National University, 2022.Description: 43 leaves : color illustrations ; 28 cmSubject(s): LOC classification: - UGT COE BSECE . L67 2022
Thesis
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Thesis
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National University - Manila | LRC - Main Thesis | Electronics and Communications Engineering | UGT COE BSECE .L67 2022 (Browse shelf(Opens below)) | c.1 | Available | UGTHE000002891 |
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| UGT COE BSECE .E34 2016 Automated sewing machine / | UGT COE BSECE .F56 2017 Automated noodle sound maker machine / | UGT COE BSECE .G47 2018 A Structural response logger with anomaly detection using mem-based system / | UGT COE BSECE .L67 2022 Detection of human airway impairment using signal processing / |
Includes bibliographical references.
Chapter 1. The Problem and its background -- Chapter 2. Review of Literature and state of the art-- Chapter 3. Project Design and Development -- Chapter 4. Design Results and Discussions -- Chapter 5. Summary, Conclusion and Recommendation -- References.
Airway obstruction is a stoppage in any portion of the airway that causes breathing problems.
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