The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Optical blood pressure estimation with photoplethysmography and FFT-based neural networks
Open accessAbstract
We introduce and validate a beat-to-beat optical blood pressure (BP) estimation paradigm using only photoplethysmogram (PPG) signal from finger tips. The scheme determines subject-specific contribution to PPG signal and removes most of its influence by proper normalization. Key features such as amplitudes and phases of cardiac components were extracted by a fast Fourier transform and were used to train an artificial neural network, which was then used to estimate BP from PPG. Validation was done on 69 patients from the MIMIC II database plus 23 volunteers. All estimations showed a good correlation with the reference values. This method is fast and robust, and can potentially be used to perform pulse wave analysis in addition to BP estimation.
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Toward ubiquitous blood pressure monitoring via pulse transit time: Theory and practice
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Wang, C., Li, X., Hu, H., Zhang, L., Huang, Z., Lin, M., Zhang, Z., Yin, Z., Huang, B., Gong, H., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0287-x · Cited by 895
Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network
Slapničar, G., Mlakar, N., & Luštrek, M. (2019) · Sensors · doi:10.3390/s19153420 · Cited by 387
Flexible graphene photodetectors for wearable fitness monitoring
Polat, E. O., Mercier, G., Nikitskiy, I., Puma, E., Galan, T., Gupta, S., Montagut, M., Piqueras, J. J., Bouwens, M., Durduran, T., et al. (2019) · Science Advances · doi:10.1126/sciadv.aaw7846 · Cited by 298
An optimal filter for short photoplethysmogram signals
Liang, Y., Elgendi, M., Chen, Z., & Ward, R. (2018) · Scientific Data · doi:10.1038/sdata.2018.76 · Cited by 242
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Metadata
- Authors
- Xing, X., & Sun, M.
- Venue
- Biomedical Optics Express
- Publisher
- Optica Publishing Group
- Published
- 2016-07-12
- Volume
- 7
- Issue
- 8
- Pages
- 3007
- ISSN
- 2156-7085 (ISSN-L)
- OpenAlex
- W2475064587
- Cited by
- 265
- References
- 35
- FWCI
- 10.03
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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