321 related articles for article (PubMed ID: 32459641)
1. Automatic Recognition, Segmentation, and Sex Assignment of Nocturnal Asthmatic Coughs and Cough Epochs in Smartphone Audio Recordings: Observational Field Study.
Barata F; Tinschert P; Rassouli F; Steurer-Stey C; Fleisch E; Puhan MA; Brutsche M; Kotz D; Kowatsch T
J Med Internet Res; 2020 Jul; 22(7):e18082. PubMed ID: 32459641
[TBL] [Abstract][Full Text] [Related]
2. Nighttime Continuous Contactless Smartphone-Based Cough Monitoring for the Ward: Validation Study.
Barata F; Cleres D; Tinschert P; Iris Shih CH; Rassouli F; Boesch M; Brutsche M; Fleisch E
JMIR Form Res; 2023 Feb; 7():e38439. PubMed ID: 36655551
[TBL] [Abstract][Full Text] [Related]
3. Prevalence of nocturnal cough in asthma and its potential as a marker for asthma control (MAC) in combination with sleep quality: protocol of a smartphone-based, multicentre, longitudinal observational study with two stages.
Tinschert P; Rassouli F; Barata F; Steurer-Stey C; Fleisch E; Puhan MA; Brutsche M; Kowatsch T
BMJ Open; 2019 Jan; 9(1):e026323. PubMed ID: 30617104
[TBL] [Abstract][Full Text] [Related]
4. TripletCough: Cougher Identification and Verification From Contact-Free Smartphone-Based Audio Recordings Using Metric Learning.
Jokic S; Cleres D; Rassouli F; Steurer-Stey C; Puhan MA; Brutsche M; Fleisch E; Barata F
IEEE J Biomed Health Inform; 2022 Jun; 26(6):2746-2757. PubMed ID: 35196248
[TBL] [Abstract][Full Text] [Related]
5. COVID-19 cough classification using machine learning and global smartphone recordings.
Pahar M; Klopper M; Warren R; Niesler T
Comput Biol Med; 2021 Aug; 135():104572. PubMed ID: 34182331
[TBL] [Abstract][Full Text] [Related]
6. Establishing a gold standard for manual cough counting: video versus digital audio recordings.
Smith JA; Earis JE; Woodcock AA
Cough; 2006 Aug; 2():6. PubMed ID: 16887019
[TBL] [Abstract][Full Text] [Related]
7. Characteristics of Asthma-related Nocturnal Cough: A Potential New Digital Biomarker.
Rassouli F; Tinschert P; Barata F; Steurer-Stey C; Fleisch E; Puhan MA; Baty F; Kowatsch T; Brutsche MH
J Asthma Allergy; 2020; 13():649-657. PubMed ID: 33299332
[TBL] [Abstract][Full Text] [Related]
8. Performance evaluation of human cough annotators: optimal metrics and sex differences.
Sanchez-Olivieri I; Rudd M; Gabaldon-Figueira JC; Carmona-Torre F; Del Pozo JL; Moorsmith R; Jover L; Galvosas M; Small P; Grandjean Lapierre S; Chaccour C
BMJ Open Respir Res; 2023 Nov; 10(1):. PubMed ID: 37945314
[TBL] [Abstract][Full Text] [Related]
9. End-to-End Sleep Staging Using Nocturnal Sounds from Microphone Chips for Mobile Devices.
Hong J; Tran HH; Jung J; Jang H; Lee D; Yoon IY; Hong JK; Kim JW
Nat Sci Sleep; 2022; 14():1187-1201. PubMed ID: 35783665
[TBL] [Abstract][Full Text] [Related]
10. Leveraging AI and Machine Learning to Develop and Evaluate a Contextualized User-Friendly Cough Audio Classifier for Detecting Respiratory Diseases: Protocol for a Diagnostic Study in Rural Tanzania.
Isangula KG; Haule RJ
JMIR Res Protoc; 2024 Apr; 13():e54388. PubMed ID: 38652526
[TBL] [Abstract][Full Text] [Related]
11. Performance of cough monitoring by Albus Home, a contactless and automated system for nocturnal respiratory monitoring at home.
Do W; Russell R; Wheeler C; Javed H; Dogan C; Cunningham G; Khanna V; De Vos M; Satia I; Bafadhel M; Pavord I
ERJ Open Res; 2022 Oct; 8(4):. PubMed ID: 36478916
[TBL] [Abstract][Full Text] [Related]
12. Deep Neural Network-Based Respiratory Pathology Classification Using Cough Sounds.
Balamurali BT; Hee HI; Kapoor S; Teoh OH; Teng SS; Lee KP; Herremans D; Chen JM
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450996
[TBL] [Abstract][Full Text] [Related]
13. Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation.
Tran HH; Hong JK; Jang H; Jung J; Kim J; Hong J; Lee M; Kim JW; Kushida CA; Lee D; Kim D; Yoon IY
J Med Internet Res; 2023 Jun; 25():e46216. PubMed ID: 37261889
[TBL] [Abstract][Full Text] [Related]
14. Development and technical validation of a smartphone-based pediatric cough detection algorithm.
Kruizinga MD; Zhuparris A; Dessing E; Krol FJ; Sprij AJ; Doll RJ; Stuurman FE; Exadaktylos V; Driessen GJA; Cohen AF
Pediatr Pulmonol; 2022 Mar; 57(3):761-767. PubMed ID: 34964557
[TBL] [Abstract][Full Text] [Related]
15. Cough detection using a non-contact microphone: A nocturnal cough study.
Eni M; Mordoh V; Zigel Y
PLoS One; 2022; 17(1):e0262240. PubMed ID: 35045111
[TBL] [Abstract][Full Text] [Related]
16. The automatic recognition and counting of cough.
Barry SJ; Dane AD; Morice AH; Walmsley AD
Cough; 2006 Sep; 2():8. PubMed ID: 17007636
[TBL] [Abstract][Full Text] [Related]
17. How to count coughs? Counting by ear, the effect of visual data and the evaluation of an automated cough monitor.
Turner RD; Bothamley GH
Respir Med; 2014 Dec; 108(12):1808-15. PubMed ID: 25458158
[TBL] [Abstract][Full Text] [Related]
18. Cough frequency monitors: can they discriminate patient from environmental coughs?
Kulnik ST; Williams NM; Kalra L; Moxham J; Birring SS
J Thorac Dis; 2016 Nov; 8(11):3152-3159. PubMed ID: 28066594
[TBL] [Abstract][Full Text] [Related]
19. A new method for objectively evaluating nocturnal cough in adults.
Hirai K; Ishimaru M; Kato M; Sakamaki F; Yamaguchi K; Mochizuki H
Respir Investig; 2022 May; 60(3):400-406. PubMed ID: 35067479
[TBL] [Abstract][Full Text] [Related]
20. Nocturnal Cough and Sleep Quality to Assess Asthma Control and Predict Attacks.
Tinschert P; Rassouli F; Barata F; Steurer-Stey C; Fleisch E; Puhan MA; Kowatsch T; Brutsche MH
J Asthma Allergy; 2020; 13():669-678. PubMed ID: 33363391
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
