ONEI: Unveiling Route and Phase of Breathing from Snoring Sounds
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8138-0_39
Reference28 articles.
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2. Ahmed, T., Rahman, M.M., Nemati, E., Kuang, J., Gao, A.: Mouth breathing detection using audio captured through earbuds. In: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2023, pp. 1–5. IEEE (2023)
3. Alchakaki, A., Riehani, A., Shikh-Hamdon, M., Mina, N., Badr, M.S., Sankari, A.: Expiratory snoring predicts obstructive pulmonary disease in patients with sleep-disordered breathing. Ann. Am. Thorac. Soc. 13(1), 86–92 (2016)
4. Amiriparian, S., et al.: Snore sound classification using image-based deep spectrum features. In: Proceedings of the Interspeech 2017, pp. 3512–3516 (2017). https://doi.org/10.21437/Interspeech.2017-434
5. Andrade, R.G., et al.: Impact of acute changes in CPAP flow route in sleep apnea treatment. Chest 150(6), 1194–1201 (2016)
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