Budd J, Baker K, Karoune E, Coppock H, Patel S, Payne R
Sci Data. 2024; 11(1):700.
PMID: 38937483
PMC: 11211414.
DOI: 10.1038/s41597-024-03492-w.
Gheisari M, Ghaderzadeh M, Li H, Taami T, Fernandez-Campusano C, Sadeghsalehi H
JMIR Mhealth Uhealth. 2024; 12:e44406.
PMID: 38231538
PMC: 10896318.
DOI: 10.2196/44406.
Schuller B, Akman A, Chang Y, Coppock H, Gebhard A, Kathan A
Heliyon. 2024; 10(1):e23142.
PMID: 38163154
PMC: 10755287.
DOI: 10.1016/j.heliyon.2023.e23142.
Qian K, Fazekas G, Li S, Li Z, Schuller B
Front Digit Health. 2023; 5:1340517.
PMID: 38152630
PMC: 10751909.
DOI: 10.3389/fdgth.2023.1340517.
Yerlikaya S, Broger T, Isaacs C, Bell D, Holtgrewe L, Gupta-Wright A
Infection. 2023; 52(1):29-42.
PMID: 38032537
PMC: 10811035.
DOI: 10.1007/s15010-023-02135-3.
Human-centred artificial intelligence for mobile health sensing: challenges and opportunities.
Dang T, Spathis D, Ghosh A, Mascolo C
R Soc Open Sci. 2023; 10(11):230806.
PMID: 38026044
PMC: 10646451.
DOI: 10.1098/rsos.230806.
Smartphone-based cough monitoring as a near real-time digital pneumonia biomarker.
Boesch M, Rassouli F, Baty F, Schwarzler A, Widmer S, Tinschert P
ERJ Open Res. 2023; 9(3).
PMID: 37143837
PMC: 10152266.
DOI: 10.1183/23120541.00518-2022.
A summary of the ComParE COVID-19 challenges.
Coppock H, Akman A, Bergler C, Gerczuk M, Brown C, Chauhan J
Front Digit Health. 2023; 5:1058163.
PMID: 36969956
PMC: 10031089.
DOI: 10.3389/fdgth.2023.1058163.
Development and Validation of a Respiratory-Responsive Vocal Biomarker-Based Tool for Generalizable Detection of Respiratory Impairment: Independent Case-Control Studies in Multiple Respiratory Conditions Including Asthma, Chronic Obstructive....
Kaur S, Larsen E, Harper J, Purandare B, Uluer A, Hasdianda M
J Med Internet Res. 2023; 25:e44410.
PMID: 36881540
PMC: 10131712.
DOI: 10.2196/44410.
MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds.
Ulukaya S, Sarica A, Erdem O, Karaali A
Med Biol Eng Comput. 2023; 61(7):1619-1629.
PMID: 36828944
PMC: 9955529.
DOI: 10.1007/s11517-023-02803-4.
Considerations and Challenges for Real-World Deployment of an Acoustic-Based COVID-19 Screening System.
Grant D, McLane I, Rennoll V, West J
Sensors (Basel). 2022; 22(23).
PMID: 36502232
PMC: 9739601.
DOI: 10.3390/s22239530.
Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research.
Fischer A, Elbeji A, Aguayo G, Fagherazzi G
Interact J Med Res. 2022; 11(2):e40655.
PMID: 36378504
PMC: 9668331.
DOI: 10.2196/40655.
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 From Audio Challenges.
Akman A, Coppock H, Gaskell A, Tzirakis P, Jones L, Schuller B
Front Digit Health. 2022; 4:789980.
PMID: 35873349
PMC: 9302571.
DOI: 10.3389/fdgth.2022.789980.
Graphene-based temperature, humidity, and strain sensor: A review on progress, characterization, and potential applications during Covid-19 pandemic.
Ismail Z, W Idris W, Abdullah A
Sens Int. 2022; 3:100183.
PMID: 35633818
PMC: 9126002.
DOI: 10.1016/j.sintl.2022.100183.
Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.
Ponomarchuk A, Burenko I, Malkin E, Nazarov I, Kokh V, Avetisian M
IEEE J Sel Top Signal Process. 2022; 16(2):175-187.
PMID: 35582703
PMC: 9088778.
DOI: 10.1109/JSTSP.2022.3142514.
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning.
Chadaga K, Chakraborty C, Prabhu S, Umakanth S, Bhat V, Sampathila N
Interdiscip Sci. 2022; 14(2):452-470.
PMID: 35133633
PMC: 8846962.
DOI: 10.1007/s12539-021-00499-4.
Bias and privacy in AI's cough-based COVID-19 recognition - Authors' reply.
Coppock H, Jones L, Kiskin I, Schuller B
Lancet Digit Health. 2021; 3(12):e761.
PMID: 34823704
PMC: 8608389.
DOI: 10.1016/S2589-7500(21)00233-8.
Bias and privacy in AI's cough-based COVID-19 recognition.
Perez-Espinosa H, Timonet-Andreu E, Andreu-Perez J
Lancet Digit Health. 2021; 3(12):e760.
PMID: 34823703
PMC: 8608398.
DOI: 10.1016/S2589-7500(21)00234-X.
