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Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.

H. Korkalainen, J. Aakko, S. Nikkonen, S. Kainulainen, A. Leino, B. Duce, I. Afara, S. Myllymaa, J. Töyräs, and T. Leppänen. IEEE J. Biomed. Health Informatics, 24 (7): 2073-2081 (2020)

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Madjid Samii

Safié Sami

Walter Samietz

Houchang Samimi-Mofakham

Behaeddin Samii

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Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea.H. Korkalainen, T. Leppänen, B. Duce, S. Kainulainen, J. Aakko, A. Leino, L. Kalevo, I. Afara, S. Myllymaa, and J. Töyräs. IEEE J. Biomed. Health Informatics, 25 (7): 2567-2574 (2021)aSAGA: Automatic Sleep Analysis with Gray Areas.M. Rusanen, G. Jouan, R. Huttunen, S. Nikkonen, S. Sigurðardóttir, J. Töyräs, B. Duce, S. Myllymaa, E. Arnardóttir, T. Leppänen and 3 other author(s). CoRR, (2023)Adhesion and spreading of different skeletal cell types on variable surface coatings.M. Lammi, C. Qu, J. Prittinen, A. Koistinen, S. Myllymaa, H. Kroger, and R. Lappalainen. BMEI, page 705-710. IEEE, (2012)Self-Applied Electrode Set Provides a Clinically Feasible Solution Enabling EEG Recording in Home Sleep Apnea Testing.L. Kalevo, T. Miettinen, A. Leino, S. Westeren-Punnonen, J. Sahlman, E. Mervaala, J. Töyräs, T. Leppänen, S. Myllymaa, and K. Myllymaa. IEEE Access, (2022)A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection.R. Huttunen, T. Leppänen, B. Duce, E. Arnardóttir, S. Nikkonen, S. Myllymaa, J. Töyräs, and H. Korkalainen. IEEE Trans. Biomed. Eng., 70 (5): 1704-1714 (May 2023)Gamma Power of Electroencephalogram Arousal Is Modulated by Respiratory Event Type and Severity in Obstructive Sleep Apnea.H. Pitkänen, B. Duce, T. Leppänen, S. Kainulainen, A. Kulkas, S. Myllymaa, J. Töyräs, and H. Korkalainen. IEEE Trans. Biomed. Eng., 69 (4): 1417-1423 (2022)Editorial: Machine Learning and Wearable Technology in Sleep Medicine.T. Leppänen, C. Varon, M. de Zambotti, and S. Myllymaa. Frontiers Digit. Health, (2022)Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG.A. Leino, H. Korkalainen, L. Kalevo, S. Nikkonen, S. Kainulainen, A. Ryan, B. Duce, K. Sipila, J. Ahlberg, J. Sahlman and 7 other author(s). IEEE Access, (2022)ABOSA - Freely available automatic blood oxygen saturation signal analysis software: Structure and validation.T. Karhu, T. Leppänen, J. Töyräs, A. Oksenberg, S. Myllymaa, and S. Nikkonen. Comput. Methods Programs Biomed., (2022)Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network.S. Nikkonen, H. Korkalainen, A. Leino, S. Myllymaa, B. Duce, T. Leppänen, and J. Töyräs. IEEE J. Biomed. Health Informatics, 25 (8): 2917-2927 (2021)

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Disambiguation of "Myllymaa, Sami"

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Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.

Please choose a person to relate this publication to

Madjid Samii

Safié Sami

Walter Samietz

Houchang Samimi-Mofakham

Behaeddin Samii

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Myllymaa, Sami"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.

Please choose a person to relate this publication to

Madjid Samii

Safié Sami

Walter Samietz

Houchang Samimi-Mofakham

Behaeddin Samii

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.