TY -的T1 -性能的数字信号cessing algorithm for the accurate quantification of cough frequency JF - European Respiratory Journal JO - Eur Respir J DO - 10.1183/13993003.04271-2020 SP - 2004271 AU - Smith, Jaclyn A. AU - Holt, Kimberley AU - Dockry, Rachel AU - Sen, Shilpi AU - Sheppard, Kitty AU - Turner, Philip AU - Czyzyk, Paul AU - McGuinness, Kevin Y1 - 2021/01/01 UR - //www.qdcxjkg.com/content/early/2021/04/01/13993003.04271-2020.abstract N2 - The ability to measure cough frequency from sound recordings has changed the standards by which new cough treatments are evaluated and is providing insights into the mechanisms underlying cough in respiratory disease [1–5]. Objective measures of the number of coughs over extended time periods can be made using off-the-shelf sound recording devices, with aural counting of cough sounds captured. Although excellent inter-observer agreement can be achieved, this process is extremely laborious and limits the size and scope of possible studies [6, 7], thus, there is a need for more efficient cough quantification methods. Accurate cough detection is however complicated by the substantial variability in cough acoustics both within and between individuals. There is also the challenge of distinguishing cough from large amounts of speech and an infinite array of environmental noises that may be captured during ambulatory sound recordings.FootnotesThis manuscript has recently been accepted for publication in the European Respiratory Journal. It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. Please open or download the PDF to view this article.Conflict of interest: Dr. Smith reports non-financial support from Vitalograph Ltd, during the conduct of the study; grants and personal fees from Merck, personal fees from Bayer, grants and personal fees from Bellus, grants and personal fees from Shionogi, grants and personal fees from Nerre, grants and personal fees from Nocion, personal fees from Attenua, personal fees from Menlo, personal fees from Boehringer ingelheim, personal fees from Algernon, grants from GSK, grants and personal fees from Axalbion, outside the submitted work; In addition, Dr. Smith has a patent Cough detection with royalties paid to her hospital.Conflict of interest: Dr. Holt has nothing to disclose.Conflict of interest: Dr. Dockry has nothing to disclose.Conflict of interest: Dr. Sen has nothing to disclose.Conflict of interest: Sheppard has nothing to disclose.Conflict of interest: Dr. Turner has nothing to disclose.Conflict of interest: Dr. Czyzyk has nothing to disclose.Conflict of interest: Dr. McGuinness reports non-financial support from Vitalograph Ltd, during the conduct of the study; In addition, Dr. McGuinness has a patent Cough detection with royalties paid. ER -