Outputs (2)

Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model (2021)
Journal Article
Yang, S., Zhang, Y., Cho, S.-Y., Correia, R., & Morgan, S. P. (2021). Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model. Optical and Quantum Electronics, 53(2), Article 93. https://doi.org/10.1007/s11082-020-02667-0

Conventional blood pressure (BP) measurement methods have different drawbacks such as being invasive, cuff-based or requiring manual operations. There is significant interest in the development of non-invasive, cuff-less and continual BP measurement... Read More about Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model.

Development and validation of a novel fibre-optic respiratory rate sensor (FiRRS) integrated in oxygen delivery devices (2021)
Journal Article
Sinha, R., Hernandez, F., He, C., Korposh, S., Correia, R. N. G., Norris, A., Liu, C., Hayes-Gill, B. R., & Morgan, S. P. (2021). Development and validation of a novel fibre-optic respiratory rate sensor (FiRRS) integrated in oxygen delivery devices. Journal of Physics D: Applied Physics, 54(12), Article 124002. https://doi.org/10.1088/1361-6463/abd061

© 2021 The Author(s). Respiratory rate (RR) monitoring provides crucial information on the overall health condition of patients and a reliable, low cost RR monitor for normal hospital inpatient or home use would be of significant benefit. The propose... Read More about Development and validation of a novel fibre-optic respiratory rate sensor (FiRRS) integrated in oxygen delivery devices.