Henri Korkalainen
Orcid: 0000-0002-4686-6112
According to our database1,
Henri Korkalainen
authored at least 14 papers
between 2020 and 2024.
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Bibliography
2024
A harmonized and interoperable format for storing and processing polysomnography data.
CoRR, 2024
2023
Obstructive Sleep Apnea Patients With Atrial Arrhythmias Suffer From Prolonged Recovery From Desaturations.
IEEE Trans. Biomed. Eng., July, 2023
A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection.
IEEE Trans. Biomed. Eng., May, 2023
Generalizable Deep Learning-Based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings.
IEEE J. Biomed. Health Informatics, April, 2023
Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
2022
Gamma Power of Electroencephalogram Arousal Is Modulated by Respiratory Event Type and Severity in Obstructive Sleep Apnea.
IEEE Trans. Biomed. Eng., 2022
Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG.
IEEE Access, 2022
2021
Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network.
IEEE J. Biomed. Health Informatics, 2021
Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea.
IEEE J. Biomed. Health Informatics, 2021
Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings.
IEEE Access, 2021
Comparison of EEG Signal Characteristics Between Polysomnography and Self Applied Somnography Setup in a Pediatric Cohort.
IEEE Access, 2021
2020
Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.
IEEE J. Biomed. Health Informatics, 2020
Effect of Sweating on Electrode-Skin Contact Impedances and Artifacts in EEG Recordings With Various Screen-Printed Ag/Agcl Electrodes.
IEEE Access, 2020