Chatterjee, Soujanya and Rahman, Md Mahbubur and Nemati, Ebrahim and Kuang, Jilong (2019) WheezeD: Respiration Phase Based Wheeze Detection Using Acoustic Data From Pulmonary Patients Under Attack. In: 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters.
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Abstract
Wheezing is one of the most prominent symptoms for pulmonary attack. Hence, wheezing detection has attracted a lot of attention in recent years. However, there is a dearth of a reliable method that can automatically detect wheezing events during each respiration phase in presence of several concurre
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 12:35 |
| Last Modified: | 17 Apr 2026 14:23 |
| URI: | http://eprints.eai.eu/id/eprint/25335 |
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