The DOI matches its Crossref record; 181 of the 181 references it cites were found in a registry or an index.
Recent development of respiratory rate measurement technologies
Open accessAbstract
Respiratory rate (RR) is an important physiological parameter whose abnormality has been regarded as an important indicator of serious illness. In order to make RR monitoring simple to perform, reliable and accurate, many different methods have been proposed for such automatic monitoring. According to the theory of respiratory rate extraction, methods are categorized into three modalities: extracting RR from other physiological signals, RR measurement based on respiratory movements, and RR measurement based on airflow. The merits and limitations of each method are highlighted and discussed. In addition, current works are summarized to suggest key directions for the development of future RR monitoring methodologies.
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Cites
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Recent advances in humidity sensors for human body related humidity detection
Duan, Z., Jiang, Y., & Tai, H. (2021) · Journal of Materials Chemistry C · doi:10.1039/d1tc04180k · Cited by 365
Klum, M., Urban, M., Tigges, T., Pielmus, A.-G., Feldheiser, A., Schmitt, T., & Orglmeister, R. (2020) · Sensors · doi:10.3390/s20072033 · Cited by 75
Multimodal emotion recognition: A comprehensive review, trends, and challenges
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Metadata
- Authors
- Liu, H., Allen, J., Zheng, D., & Chen, F.
- Venue
- Physiological Measurement
- Publisher
- IOP Publishing
- Published
- 2019-07-01
- Volume
- 40
- Issue
- 7
- Pages
- 07TR01
- ISSN
- 0967-3334 (ISSN-L)
- 1361-6579
- OpenAlex
- W2951565129
- Cited by
- 266
- References
- 181
- FWCI
- 10.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
