Alyn Morice, Mitja Alge, Laura Kuett, Simon Hart, Alan Rigby, David Elkayam
{"title":"慢性咳嗽患者的咳嗽频率每日变化很大。","authors":"Alyn Morice, Mitja Alge, Laura Kuett, Simon Hart, Alan Rigby, David Elkayam","doi":"10.1183/23120541.00670-2024","DOIUrl":null,"url":null,"abstract":"<p><p><b>Continuous cough monitoring using a wearable device analysed by machine learning for automated cough detection has revealed considerable day-to-day variability in cough counts. Single-day recording is thus subject to error.</b> https://bit.ly/3yYCRbX.</p>","PeriodicalId":11739,"journal":{"name":"ERJ Open Research","volume":"11 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11808934/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cough frequency has a high daily variation in patients with chronic cough.\",\"authors\":\"Alyn Morice, Mitja Alge, Laura Kuett, Simon Hart, Alan Rigby, David Elkayam\",\"doi\":\"10.1183/23120541.00670-2024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Continuous cough monitoring using a wearable device analysed by machine learning for automated cough detection has revealed considerable day-to-day variability in cough counts. Single-day recording is thus subject to error.</b> https://bit.ly/3yYCRbX.</p>\",\"PeriodicalId\":11739,\"journal\":{\"name\":\"ERJ Open Research\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11808934/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERJ Open Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1183/23120541.00670-2024\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERJ Open Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1183/23120541.00670-2024","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
Cough frequency has a high daily variation in patients with chronic cough.
Continuous cough monitoring using a wearable device analysed by machine learning for automated cough detection has revealed considerable day-to-day variability in cough counts. Single-day recording is thus subject to error. https://bit.ly/3yYCRbX.
期刊介绍:
ERJ Open Research is a fully open access original research journal, published online by the European Respiratory Society. The journal aims to publish high-quality work in all fields of respiratory science and medicine, covering basic science, clinical translational science and clinical medicine. The journal was created to help fulfil the ERS objective to disseminate scientific and educational material to its members and to the medical community, but also to provide researchers with an affordable open access specialty journal in which to publish their work.