Construction and Validation of an Automatic Segmentation Method for Respiratory Sound Time Labels.

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Title: Construction and Validation of an Automatic Segmentation Method for Respiratory Sound Time Labels.
Authors: Fan J; Department of General Practice, The First Affiliated Hospital of Naval Medical University, Changhai Hospital, Shanghai, China.; Department of General Practice, Shanghai 411 Hospital, China RongTong Medical Healthcare Group Co., Ltd., Shanghai, China., Ni H; Department of Respiratory and Critical Care, The First Hospital Affiliated of Naval Medical University, Changhai Hospital, Shanghai, China., Chen X; Daning Road Community Health Service Center, Shanghai, China., Duan Y; Department of Evidence Based Medicine and Social Medicine, School of Public Health, Chengdu Medical College, Chengdu, Sichuan, China., Wang W; Department of General Practice, The First Affiliated Hospital of Naval Medical University, Changhai Hospital, Shanghai, China.; Department of General Practice, Shanghai 411 Hospital, China RongTong Medical Healthcare Group Co., Ltd., Shanghai, China., Xu F; Department of Evidence Based Medicine and Social Medicine, School of Public Health, Chengdu Medical College, Chengdu, Sichuan, China.; Sichuan Provincial Key Laboratory of Philosophy and Social Sciences for Intelligent Medical Care and Elderly Health Management, Chengdu Medical College, Chengdu, Sichuan, China., Shang Y; Department of General Practice, The First Affiliated Hospital of Naval Medical University, Changhai Hospital, Shanghai, China.; Department of General Practice, Shanghai 411 Hospital, China RongTong Medical Healthcare Group Co., Ltd., Shanghai, China.
Source: The clinical respiratory journal [Clin Respir J] 2025 Oct; Vol. 19 (10), pp. e70124.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Blackwell Publishing Country of Publication: England NLM ID: 101315570 Publication Model: Print Cited Medium: Internet ISSN: 1752-699X (Electronic) Linking ISSN: 17526981 NLM ISO Abbreviation: Clin Respir J Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1752-699X
DOI:10.1111/crj.70124