Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Automated spectral characterization of wheezing in asthmatic children.

Literature DB >> 3980029

Automated spectral characterization of wheezing in asthmatic children.

T R Fenton, H Pasterkamp, A Tal, V Chernick.

Abstract

Entities: Disease Species

Mesh：

Year: 1985 PMID： 3980029 DOI： 10.1109/TBME.1985.325616

Source DB: PubMed Journal: IEEE Trans Biomed Eng ISSN： 0018-9294 Impact factor: 4.538

Keyword Cloud
Cited

× No keyword cloud information.

8 in total

Review 1. The need for standards in recording and analysing respiratory sounds.

Authors: M J Mussell
Journal: Med Biol Eng Comput Date: 1992-03 Impact factor: 2.602

2. A survey on automated wheeze detection systems for asthmatic patients.

Authors: Syamimi Mardiah Shaharum; Kenneth Sundaraj; Rajkumar Palaniappan
Journal: Bosn J Basic Med Sci Date: 2012-11 Impact factor: 3.363

3. Analysis of respiratory sounds: state of the art.

Authors: Sandra Reichert; Raymond Gass; Christian Brandt; Emmanuel Andrès
Journal: Clin Med Circ Respirat Pulm Med Date: 2008-05-16

4. Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection.

Authors: Shih-Hong Li; Bor-Shing Lin; Chen-Han Tsai; Cheng-Ta Yang; Bor-Shyh Lin
Journal: Sensors (Basel) Date: 2017-01-17 Impact factor: 3.576

5. Remote Analysis of Respiratory Sounds in Patients With COVID-19: Development of Fast Fourier Transform-Based Computer-Assisted Diagnostic Methods.

Authors: Gregory Furman; Evgeny Furman; Artem Charushin; Valery Sheludko; Vladimir Sokolovsky; David Shtivelman; Ekaterina Eirikh; Sergey Malinin
Journal: JMIR Form Res Date: 2022-07-19

Automated spectral characterization of wheezing in asthmatic children.

Review 1. The need for standards in recording and analysing respiratory sounds.

2. A survey on automated wheeze detection systems for asthmatic patients.

3. Analysis of respiratory sounds: state of the art.

4. Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection.

5. Remote Analysis of Respiratory Sounds in Patients With COVID-19: Development of Fast Fourier Transform-Based Computer-Assisted Diagnostic Methods.

6. Respiratory sound analysis in the era of evidence-based medicine and the world of medicine 2.0.

7. Wheezing Sound Separation Based on Informed Inter-Segment Non-Negative Matrix Partial Co-Factorization.

8. Distance-Based Detection of Cough, Wheeze, and Breath Sounds on Wearable Devices.