📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Novel Method for Automatic Identification of Respiratory Disease from Acoustic Recordings. (2019)

First Author: Kok XH

Attributed to: A Novel Wearable Technology for Early Detection of Exacerbations in COPD funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/embc.2019.8857154

PubMed Identifier: 31946426

Publication URI: http://europepmc.org/abstract/MED/31946426

Type: Journal Article/Review

Volume: 2019

Parent Publication: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

ISSN: 2375-7477