This paper is in the following e-collection/theme issue:

Artificial Intelligence (1198) New Methods (909) Machine Learning (1385) mHealth for Data Collection and Research (914)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18082, first published .
Automatic Recognition, Segmentation, and Sex Assignment of Nocturnal Asthmatic Coughs and Cough Epochs in Smartphone Audio Recordings: Observational Field Study

Automatic Recognition, Segmentation, and Sex Assignment of Nocturnal Asthmatic Coughs and Cough Epochs in Smartphone Audio Recordings: Observational Field Study

Automatic Recognition, Segmentation, and Sex Assignment of Nocturnal Asthmatic Coughs and Cough Epochs in Smartphone Audio Recordings: Observational Field Study

Authors of this article:

Filipe Barata1 Author Orcid Image ;   Peter Tinschert2 Author Orcid Image ;   Frank Rassouli3 Author Orcid Image ;   Claudia Steurer-Stey4, 5 Author Orcid Image ;   Elgar Fleisch1, 2 Author Orcid Image ;   Milo Alan Puhan4 Author Orcid Image ;   Martin Brutsche3 Author Orcid Image ;   David Kotz1, 6, 7 Author Orcid Image ;   Tobias Kowatsch1, 2 Author Orcid Image
Article Authors Cited by (28) Tweetations (4) Metrics

Journals

  1. Tinschert P, Rassouli F, Barata F, Steurer-Stey C, Fleisch E, Puhan M, Kowatsch T, Brutsche M. <p>Nocturnal Cough and Sleep Quality to Assess Asthma Control and Predict Attacks</p>. Journal of Asthma and Allergy 2020;Volume 13:669 View
  2. Kowatsch T, Schachner T, Harperink S, Barata F, Dittler U, Xiao G, Stanger C, v Wangenheim F, Fleisch E, Oswald H, Möller A. Conversational Agents as Mediating Social Actors in Chronic Disease Management Involving Health Care Professionals, Patients, and Family Members: Multisite Single-Arm Feasibility Study. Journal of Medical Internet Research 2021;23(2):e25060 View
  3. Serrurier A, Neuschaefer-Rube C, Röhrig R. Past and Trends in Cough Sound Acquisition, Automatic Detection and Automatic Classification: A Comparative Review. Sensors 2022;22(8):2896 View
  4. Balamurali B, Hee H, Kapoor S, Teoh O, Teng S, Lee K, Herremans D, Chen J. Deep Neural Network-Based Respiratory Pathology Classification Using Cough Sounds. Sensors 2021;21(16):5555 View
  5. Lee G, Nam H, Kim S, Choi S, Kim Y, Park Y. Deep learning based cough detection camera using enhanced features. Expert Systems with Applications 2022;206:117811 View
  6. Schlieter H, Marsch L, Whitehouse D, Otto L, Londral A, Teepe G, Benedict M, Ollier J, Ulmer T, Gasser N, Ultsch S, Wollschlaeger B, Kowatsch T. Scale-up of Digital Innovations in Health Care: Expert Commentary on Enablers and Barriers. Journal of Medical Internet Research 2022;24(3):e24582 View
  7. Holmes J, Heaney L, McGarvey L. Objective and Subjective Measurement of Cough in Asthma: A Systematic Review of the Literature. Lung 2022;200(2):169 View
  8. Barata F, Cleres D, Tinschert P, Iris Shih C, Rassouli F, Boesch M, Brutsche M, Fleisch E. Nighttime Continuous Contactless Smartphone-Based Cough Monitoring for the Ward: Validation Study. JMIR Formative Research 2023;7:e38439 View
  9. He C, Tan J, Jian X, Zhong G, Wu H, Cheng L, Lin J. A Novel Snore Detection and Suppression Method for a Flexible Patch With MEMS Microphone and Accelerometer. IEEE Internet of Things Journal 2022;9(24):25791 View
  10. Troncoso Á, Ortega J, Seepold R, Madrid N. Non-invasive devices for respiratory sound monitoring. Procedia Computer Science 2021;192:3040 View
  11. Jokic S, Cleres D, Rassouli F, Steurer-Stey C, Puhan M, Brutsche M, Fleisch E, Barata F. TripletCough: Cougher Identification and Verification From Contact-Free Smartphone-Based Audio Recordings Using Metric Learning. IEEE Journal of Biomedical and Health Informatics 2022;26(6):2746 View
  12. Kruizinga M, Zhuparris A, Dessing E, Krol F, Sprij A, Doll R, Stuurman F, Exadaktylos V, Driessen G, Cohen A. Development and technical validation of a smartphone‐based pediatric cough detection algorithm. Pediatric Pulmonology 2022;57(3):761 View
  13. Aggarwal S, G V, Selvakanmani S, Pant B, Kaur K, Verma A, Binegde G, Gupta P. Audio Segmentation Techniques and Applications Based on Deep Learning. Scientific Programming 2022;2022:1 View
  14. Kuhn M, Nalbant E, Kohlbrenner D, Alge M, Kuett L, Arvaji A, Sievi N, Russi E, Clarenbach C. Validation of a small cough detector. ERJ Open Research 2023;9(1):00279-2022 View
  15. Wu F, Nägele M, Cleres D, Haider T, Fleisch E, Ruschitzka F, Flammer A, Barata F, Cowley H. Trends in voice characteristics in patients with heart failure (VENTURE) in Switzerland: Protocol for a longitudinal observational pilot study. PLOS ONE 2023;18(4):e0283052 View
  16. Castro O, Mair J, Salamanca-Sanabria A, Alattas A, Keller R, Zheng S, Jabir A, Lin X, Frese B, Lim C, Santhanam P, van Dam R, Car J, Lee J, Tai E, Fleisch E, von Wangenheim F, Tudor Car L, Müller-Riemenschneider F, Kowatsch T. Development of “LvL UP 1.0”: a smartphone-based, conversational agent-delivered holistic lifestyle intervention for the prevention of non-communicable diseases and common mental disorders. Frontiers in Digital Health 2023;5 View
  17. Boesch M, Rassouli F, Baty F, Schwärzler A, Widmer S, Tinschert P, Shih I, Cleres D, Barata F, Fleisch E, Brutsche M. Smartphone-based cough monitoring as a near real-time digital pneumonia biomarker. ERJ Open Research 2023;9(3):00518-2022 View
  18. Langholm C, Kowatsch T, Bucci S, Cipriani A, Torous J. Exploring the Potential of Apple SensorKit and Digital Phenotyping Data as New Digital Biomarkers for Mental Health Research. Digital Biomarkers 2023:104 View
  19. Vitazkova D, Foltan E, Kosnacova H, Micjan M, Donoval M, Kuzma A, Kopani M, Vavrinsky E. Advances in Respiratory Monitoring: A Comprehensive Review of Wearable and Remote Technologies. Biosensors 2024;14(2):90 View
  20. Kapetanidis P, Kalioras F, Tsakonas C, Tzamalis P, Kontogiannis G, Karamanidou T, Stavropoulos T, Nikoletseas S. Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review. Sensors 2024;24(4):1173 View
  21. Barata F, Shim J, Wu F, Langer P, Fleisch E. The Bitemporal Lens Model—toward a holistic approach to chronic disease prevention with digital biomarkers. JAMIA Open 2024;7(2) View
  22. Wieczorek K, Ananth S, Valazquez-Pimentel D. Acoustic biomarkers in asthma: a systematic review. Journal of Asthma 2024:1 View
  23. Langer P, Altmüller S, Fleisch E, Barata F. CLAID: Closing the Loop on AI & Data Collection — A cross-platform transparent computing middleware framework for smart edge-cloud and digital biomarker applications. Future Generation Computer Systems 2024;159:505 View

Books/Policy Documents

  1. Kowatsch T, Fleisch E. Connected Business. View
  2. Keller R, Wangenheim F, Mair J, Kowatsch T. Digital Therapeutics for Mental Health and Addiction. View