- Abstract:
-
Cough is a common symptom of many respiratory diseases. The evaluation of its intensity and frequency of occurrence could provide valuable clinical information in the assessment of patients with chronic cough. In this paper we propose the use of hidden Markov models (HMMs) to automatically detect cough sounds from continuous ambulatory recordings. The recording system consists of a digital sound recorder and a microphone attached to the patient's chest. The recognition algorithm follows a key...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1109/TBME.2006.873548
-
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- Journal:
- IEEE transactions on bio-medical engineering
- Volume:
- 53
- Issue:
- 6
- Pages:
- 1078-1083
- Publication date:
- 2006-06-05
- DOI:
- EISSN:
-
1558-2531
- ISSN:
-
0018-9294
- URN:
-
uuid:42b98eef-4dc4-47dc-b6f3-31436de2b994
- Source identifiers:
-
435303
- Local pid:
- pubs:435303
- Copyright date:
- 2006
Journal article
Detection of cough signals in continuous audio recordings using hidden Markov models.
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