Jirí Kuchynka

According to our database, Jirí Kuchynka authored at least 8 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Sleep Apnea Detection with Polysomnography and Depth Sensors.

Martin Schätz, Ales Procházka, Jirí Kuchynka, Oldrich Vysata

Sensors, 2020

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

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

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

2017

Adaptive segmentation of multimodal polysomnography data for sleep stages detection.

Ales Procházka, Jirí Kuchynka, Mohammadreza Yadollahi, Carmen Paz Suárez Araujo, Oldrich Vysata

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

2016

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

2015

Statistical recognition of breathing by MS Kinect depth sensor.

Martin Schätz, Fabio Centonze, Jirí Kuchynka, Ondrej Tupa, Oldrich Vysata, Oana Geman, Ales Procházka

Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015

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

Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015