Laura Kalevo

Power spectral densities of nocturnal pulse oximetry signals differ in OSA patients with and without daytime sleepiness.

N. Gadoth, A. Oksenberg, S. Myllymaa, 2020, Sleep medicine.

Estimating daytime sleepiness with previous night electroencephalography, electrooculography, and electromyography spectrograms in patients with suspected sleep apnea using a convolutional neural network

A. Oksenberg, S. Myllymaa, S. Kainulainen, 2020, Sleep.

Self-applied electrode set provides a clinically feasible solution enabling EEG recording in home sleep apnea testing

E. Mervaala, S. Myllymaa, K. Myllymaa, 2022, IEEE Access.

Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000

S. Myllymaa, S. Kainulainen, H. Korkalainen, 2021 .

Deep learning enables accurate automatic sleep staging based on ambulatory forehead EEG

J. Ahlberg, E. Mervaala, S. Myllymaa, 2022, IEEE Access.

Effect of Sweating on Electrode-Skin Contact Impedances and Artifacts in EEG Recordings With Various Screen-Printed Ag/Agcl Electrodes

Timo Leppänen, Juha Töyräs, Tomi Miettinen, 2020, IEEE Access.

Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea

Timo Leppänen, Juha Töyräs, Brett Duce, 2020, IEEE Journal of Biomedical and Health Informatics.

Increased nocturnal arterial pulsation frequencies of obstructive sleep apnoea patients is associated with an increased number of lapses in a psychomotor vigilance task

S. Myllymaa, S. Kainulainen, B. Duce, 2020, ERJ Open Research.