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Sleep|April 18, 2020
Beyond K-complex binary scoring during sleep: probabilistic classification using deep learningBastien Lechat, Kristy Hansen, Peter Catcheside, et al.Journal of Sleep Research|November 18, 2020
Correspondence between physiological and behavioural responses to vibratory stimuli during the sleep onset period: A quantitative electroencephalography analysisHannah Scott, Bastien Lechat, Nicole Lovato, et al.The Journal of the Acoustical Society of America|September 2, 2021
Amplitude modulated wind farm noise relationship with annoyance: A year-long field studyKristy L Hansen, Phuc Nguyen, Gorica Micic, et al.Journal of Sleep Research|February 28, 2025
Performance evaluation of an under-mattress sleep sensor versus polysomnography in > 400 nights with healthy and unhealthy sleepJack Manners, Eva Kemps, Bastien Lechat, et al.JASA Express Letters|September 26, 2022
Beyond traditional wind farm noise characterisation using transfer learningPhuc D Nguyen, Kristy L Hansen, Bastien Lechat, et al.Journal of Sleep Research|January 7, 2024
Estimating vigilance from the pre-work shift sleep using an under-mattress sleep sensorJack Manners, Eva Kemps, Alisha Guyett, et al.The Journal of the Acoustical Society of America|December 31, 2022
Annoyance due to amplitude modulated low-frequency wind farm noise: A laboratory studyBranko Zajamsek, Kristy Hansen, Bastien Lechat, et al.Journal of Sleep Research|March 28, 2024
Tripolar concentric ring electrodes for capturing localised electroencephalography signals during sleepNicole Stuart, Jack Manners, Eva Kemps, et al.Sleep|March 12, 2021
K-complexes are a sensitive marker of noise-related sensory processing during sleep: a pilot studyBastien Lechat, Kristy Hansen, Gorica Micic, et al.Nature and Science of Sleep|September 8, 2025
Explainable Machine Learning Assists in Revealing Associations Between Polysomnographic Biomarkers and Incident Type 2 Diabetes in MenDuc Phuc Nguyen, Peter Catcheside, Bastien Lechat, et al.Pageof 6