What is it about?

Physiological signals, such as ECG and PPG, are cheaper and easy to collect. Hence, prescreening of infectious disease patients could be done by applying data-driven techniques on such signals. To this end, different markers are hand-crafted to group, e.g. tetanus patients, based on their severity in order to provide differentiated service and hence improves overall patient care.

Featured Image

Why is it important?

This is, particularly, important in cases of infectious disease outbreaks, which is a periodic event in South Asia countries, such as Vietnam. In such cases, hospital resources could be effectively optimised and lives could also be saved as the proposed screening patients of flags sever cases at the top.

Perspectives

The method could be extended to other domains, beyond healthcare, which involve time-series signals, e.g. weather and finance.

Girmaw Abebe Tadesse
University of Oxford

Read the Original

This page is a summary of: Severity Detection Tool for Patients with Infectious Disease, Healthcare Technology Letters, February 2020, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/htl.2019.0030.
You can read the full text:

Read

Contributors

The following have contributed to this page