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Complex-Valued Wavelet Spectrum Analysis of Respiratory Conditions and Its Feasibility in the Detection of Low-Functional Respiration
- Source :
- Healthcare, Vol 9, Iss 8, p 981 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Respiratory monitoring is a significant issue to reduce patient risks and medical staff labor in postoperative care and epidemic infection, particularly after the COVID-19 pandemic. Oximetry is widely used for respiration monitoring in the clinic, but it sometimes fails to capture a low-functional respiratory condition even though a patient has breathing difficulty. Another approach is breathing-sound monitoring, but this is unstable due to the indirect measurement of lung volume. Kobayashi in our team is developing a sensor measuring temporal changes in lung volume with a displacement sensor attached across the sixth and eighth ribs. For processing these respiratory signals, we propose the combination of complex-valued wavelet transform and the correlation among spectrum sequences. We present the processing results and discuss its feasibility to detect a low-functional condition in respiration. The result for detecting low-functional respiration showed good performance with a sensitivity of 0.88 and specificity of 0.88 to 1 in its receiver operating characteristic (ROC) curve.
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 9
- Issue :
- 8
- Database :
- Directory of Open Access Journals
- Journal :
- Healthcare
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.135872aec3c242aa8e58cf094a534148
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/healthcare9080981