Detection of Multiple Respiration Patterns Based on 1D SNN from Continuous Human Breathing Signals and the Range Classification Method for Each Respiration Pattern.

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Bibliographic Details
Title: Detection of Multiple Respiration Patterns Based on 1D SNN from Continuous Human Breathing Signals and the Range Classification Method for Each Respiration Pattern.
Authors: Hong JW; Department of Computer Engineering, Gachon University, Seongnam 13120, Republic of Korea., Kim SH; Neowine Co., Ltd., Seongnam 13595, Republic of Korea., Han GT; Department of Computer Engineering, Gachon University, Seongnam 13120, Republic of Korea.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jun 01; Vol. 23 (11). Date of Electronic Publication: 2023 Jun 01.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s23115275