An FPGA-Based Rapid Wheezing Detection System-Reference-Cited by-同舟云学术

An FPGA-Based Rapid Wheezing Detection System

Published:2014-01-29 Issue:2 Volume:11 Page:1573-1593
ISSN:1660-4601
Container-title:International Journal of Environmental Research and Public Health
language:en
Short-container-title:IJERPH

Author:

Lin Bor-Shing,Yen Tian-Shiue

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Link

http://www.mdpi.com/1660-4601/11/2/1573/pdf

Reference27 articles.

1. Vital Signshttp://www.cdc.gov/vitalsigns/Asthma/?s_cid=vitalsigns_063

2. Global Surveillance, Prevention and Control of Chronic Respiratory Diseases: A Comprehensive Approachhttp://www.who.int/gard/publications/GARD%20Book%202007.pdf

3. Characteristics of breath sounds and adventitious respiratory sounds;Sovijarvi;Eur. Respir. Rev.,2000

4. Pulmonary auscultation;Karnath;Hosp. Physician,2002

5. Peak expiratory flow: conclusions and recommendations of a working party of the european respiratory society;Quanjer;Eur. Respir. J.,1997

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