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Publikationen

Unsere Technologie basiert auf über einem Jahrzehnt interdisziplinärer Forschung mit internationalen Partnern.

2025

Cost-Effectiveness of Smartphone-Based Screening for Obstructive Sleep Apnea: A Markov Model Analysis From the German Statutory Health Insurance Perspective
M. Braun, T. Erdmann, C. Janott, U.J. Sommer, C. Heiser
Value in Health, Vol 28, No 12, Supplement 1, 2025, pp. S156-S157, 2025

2024

Evaluation of an OSA Risk Screening Smartphone App in a General, Non-Symptomatic Population Sample (ESOSA)
J.U. Sommer, L. Lindner, D.T. Kent, C. Heiser
Journal of clinical medicine, 13(16), 4664, 2024

2021

Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review
K. Qian, C. Janott, M. Schmitt, Z. Zhang, C. Heiser, W. Hemmert, Y. Yamamoto, B. Schuller
Journal of Biomedical and Health Informatics, Vol. 25, No. 4, pp. 1233-1246, Apr 2021

2020

Analysis and management of sleep data. In: Biomedical Signal Processing and Artificial Intelligence in Healthcare
C. Janott
Academic Press, , pp. 207-240, Aug 2020, ISBN 9780128189467
Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data
Z. Zhang, J. Han, K. Qian, C. Janott, Y. Guo , B. Schuller
IEEE Journal of Biomedical and Health Informatics, Vol. 24, No. 1, pp. 300-310, Jan. 2020

2019

Snoring - an acoustic definition
C. Janott, C. Rohrmeier, M. Schmitt, W. Hemmer, B. Schuller
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, pp. 3653-3657, July 2019
VOTE versus ACLTE: Vergleich zweier Schnarchgeräuschklassifikationen mit Methoden des maschinellen Lernens
C. Janott, M. Schmitt, C. Heiser, W. Hohenhorst, M. Herzog, M. Carrasco Llatas, W. Hemmert, B. Schuller
HNO, Vol. 67, No. 9, pp. 670-678, June 2019
A bag of wavelet features for snore sound classification
K. Qian, M. Schmitt, C. Janott, Z. Zhang, C. Heiser, W. Hohenhorst, M. Herzog, W. Hemmert, B. Schuller
Annals of biomedical engineering, Vol. 47, pp. 1000- 1011, April 2019

2018

Teaching Machines on Snoring: A Benchmark on Computer Audition for Snore Sound Excitation Localisation
K. Qian, C. Janott, Z. Zhang, J. Deng, A. Baird, C. Heiser, W. Hohenhorst, M. Herzog, W. Hemmert, B. Schuller
Archives of Acoustics, Vol. 43, No. 3, pp. 465–475, September 2018
Snoring Classified: The Munich-Passau Snore Sound Corpus
C. Janott, M. Schmitt, Y. Zhang, K. Qian, V. Pandit, Z. Zhang, C. Heiser, W. Hohenhorst, M. Herzog, W. Hemmert, B. Schuller
Computers in Biology and Medicine, No. 1, pp. 106-118, March 2018

2017

The interspeech 2017 computational paralinguistics challenge: Addressee, cold & snoring
B. Schuller, S. Steidl, A. Batliner, E. Bergelson, J. Krajewski, C. Janott, A. Amatuni, M. Casillas, A. Seidl, M. Soderstrom, S. A. Warlaumont, G. Hidalgo, S. Schnieder, C. Heiser, W. Hohenhorst, M. Herzog, M. Schmitt, K. Qian, Y. Zhang, G. Trigeorgis, P. Tzirakis, S. Zafeiriou
Proc. INTERSPEECH, Stockholm, Sweden, pp. 3442–3446, August 2017
Snore sound recognition: On wavelets and classifiers from deep nets to kernels
K. Qian, C. Janott, J. Deng, C. Heiser, W. Hohenhorst, M. Herzog, N. Cummins, B. Schuller
Engineering in Medicine and Biology Society (EMBC), 39th Annual International Conference of the IEEE, Seogwipo, South Korea, July 2017
Acoustic Information in Snoring Noises (in German Language)
C. Janott, B. Schuller, C. Heiser
HNO, Vol. 65, pp. 107-116, February 2017

2016

Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multi-Feature Analysis
K. Qian, C. Janott, V. Pandit, Z. Zhang, C. Heiser, W. Hohenhorst, M. Herzog, W. Hemmert, B. Schuller
IEEE Transactions on Biomedical Engineering, October 2016
GPU-based fast signal processing for large amounts of snore sound data
J. Guo, K. Qian, H. Xu, C. Janott, B. Schuller, S. Matsuoka
The 5th IEEE Global Conference on Consumer Electronics (GCCE 2016, Kyoto, Japan), October 2016
A Bag-of-Audio-Words Approach for Snore Sounds' Excitation Localisation
M. Schmitt, C. Janott, V. Pandit, K. Qian, C. Heiser, W. Hemmert, B. Schuller
14th ITG Conference on Speech Communication, (Paderborn, Germany), October 2016
Wavelet Features for Classification of VOTE Snore Sounds
K. Qian, C. Janott, Z. Zhang, C. Heiser, B. Schuller
Proceedings 41st IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2016, (Shanghai, P. R. China), IEEE, March 2016

2014

Acoustic analysis of snoring noise (in German language)
C. Janott, W. Pirsig, C. Heiser
Somnologie-Schlafforschung und Schlafmedizin, Vol. 18, pp. 87-95, February 2014
IP PORTFOLIO

Patente und Patentanmeldungen

Patent-Nr. Titel
DE102012219128 Method and system for determining anatomical causes for the development of snoring noises
DE102019105762 System zur akustischen Erkennung von Obstruktionsarten bei der Schlafapnoe
DE102021129912 Diagnostic, control and therapy system for identifying and treating respiratory events occurring whilst sleeping
DE102023108915 Diagnostic system for determining a clinically relevant severity of a sleep-related breathing disturbance from a patient signal by weighting respiratory events
EP000003935648 System for acoustic identification of obstruction types in sleep apnoea, and corresponding method
EP000004276852 System for acoustic identification of obstruction types in sleep apnoea, and corresponding method
EP000004432901 Diagnostic, control and therapy system for identifying and treating respiratory events occurring whilst sleeping
WO002023088731 Diagnostic, control and therapy system for identifying and treating respiratory events occurring whilst sleeping
WO002024208754 Diagnostic system for determining a clinically relevant severity of a sleep-related breathing disturbance from a patient signal by weighting respiratory events
US020220156640 System for acoustic identification of obstruction types in sleep apnoea, and corresponding method
US020250009250 Diagnostic, control and therapy system for identifying and treating respiratory events occurring whilst sleeping
CN000113646848 System for acoustic identification of obstruction types in sleep apnoea, and corresponding method
JP7419641 System for acoustic identification of obstruction types in sleep apnoea, and corresponding method
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