Feature extraction using MS Kinect and data fusion in analysis of sleep disorders. - Fabio Centonze; Martin Schätz; Ales Procházka; Jirí Kuchynka; Oldrich Vysata; Pavel Cejnar; Martin Valis (IWCIM, 2015)

Statistical recognition of breathing by MS Kinect depth sensor. - Martin Schätz; Fabio Centonze; Jirí Kuchynka; Ondrej Tupa; Oldrich Vysata; Oana Geman; Ales Procházka (IWCIM, 2015)

Extraction of breathing features using MS Kinect for sleep stage detection. - Ales Procházka; Martin Schätz; Fabio Centonze; Jirí Kuchynka; Oldrich Vysata; Martin Valis (Signal Image Video Process., 2016)

Adaptive segmentation of multimodal polysomnography data for sleep stages detection. - Ales Procházka; Jirí Kuchynka; Mohammadreza Yadollahi; Carmen Paz Suárez Araujo; Oldrich Vysata (DSP, 2017)

Permutation Entropy and Signal Energy Increase the Accuracy of Neuropathic Change Detection in Needle EMG. - Ondrej Dostal; Oldrich Vysata; Ladislav Pazdera; Ales Procházka; Jakub Kopal; Jirí Kuchynka; Martin Valis (Comput. Intell. Neurosci., 2018)

Sleep scoring using polysomnography data features. - Ales Procházka; Jirí Kuchynka; Oldrich Vysata; Martin Schätz; Mohammadreza Yadollahi; Saeid Sanei; Martin Valis (Signal Image Video Process., 2018)

Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. - Delaram Jarchi; Javier Andreu-Perez; Mehrin Kiani; Oldrich Vysata; Jirí Kuchynka; Ales Procházka; Saeid Sanei (Sensors, 2020)

Sleep Apnea Detection with Polysomnography and Depth Sensors. - Martin Schätz; Ales Procházka; Jirí Kuchynka; Oldrich Vysata (Sensors, 2020)

Automated sleep staging using sequential XGBoost and multi-scale temporal fusion. - Jirí Kuchynka; Oldrich Vysata (Discov. Artif. Intell., 2025)