[Development of Respiratory Signal Extraction System Based on Photoplethysmography].

characteristic parameters cubic spline interpolation photoplethysmography respiratory signals

Journal

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
ISSN: 1671-7104
Titre abrégé: Zhongguo Yi Liao Qi Xie Za Zhi
Pays: China
ID NLM: 9426153

Informations de publication

Date de publication:
08 Apr 2021
Historique:
entrez: 7 4 2021
pubmed: 8 4 2021
medline: 10 4 2021
Statut: ppublish

Résumé

Oxygen saturation and respiratory signals are important physiological signals of human body, respiratory monitoring plays an important role in clinical and daily life. A system was established to extract respiratory signals from photoplethysmography in this study. Including the collection of pulse wave signal, the extraction of respiratory signal, and the calculation of respiratory rate and pulse rate transmitted from the slave computer to the host computer in real time.

Identifiants

pubmed: 33825370
doi: 10.3969/j.issn.1671-7104.2021.02.004
doi:

Types de publication

Journal Article

Langues

chi

Sous-ensembles de citation

IM

Pagination

136-140

Auteurs

Jingjing Zhou (J)

School of Biomedical Engineering, Shenzhen University, Shenzhen, 518060.
Shenzhen Key Lab for Biomedical Engineering, Shenzhen, 518060.

Jilun Ye (J)

School of Biomedical Engineering, Shenzhen University, Shenzhen, 518060. E-mail:yejilun@126.com.
Shenzhen Key Lab for Biomedical Engineering, Shenzhen, 518060.
Guangdong Key Lab for Biomedical Measurements and Ultrasound Imaging, Shenzhen, 518060.

Xu Zhang (X)

School of Biomedical Engineering, Shenzhen University, Shenzhen, 518060.
Shenzhen Key Lab for Biomedical Engineering, Shenzhen, 518060.
Guangdong Key Lab for Biomedical Measurements and Ultrasound Imaging, Shenzhen, 518060.

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Classifications MeSH