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2020 – today
- 2022
[j5]Akseli Leino
, Henri Korkalainen, Laura Kalevo, Sami Nikkonen, Samu Kainulainen, Alexander Ryan, Brett Duce, Kirsi Sipila, Jari Ahlberg, Johanna Sahlman, Tomi Miettinen, Susanna Westeren-Punnonen, Esa Mervaala, Juha Töyräs, Sami Myllymaa, Timo Leppänen, Katja Myllymaa:
Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG. IEEE Access 10: 26554-26566 (2022)- [j4]Laura Kalevo, Tomi Miettinen, Akseli Leino, Susanna Westeren-Punnonen, Johanna Sahlman, Esa Mervaala, Juha Töyräs, Timo Leppänen, Sami Myllymaa, Katja Myllymaa:
Self-Applied Electrode Set Provides a Clinically Feasible Solution Enabling EEG Recording in Home Sleep Apnea Testing. IEEE Access 10: 60633-60642 (2022) - 2020
- [j3]Laura Kalevo, Sami Myllymaa, Tomi Miettinen, Akseli Leino, Samu Kainulainen, Henri Korkalainen, Katja Myllymaa, Juha Töyräs, Timo Leppänen, Tiina Laitinen:
Effect of Sweating on Electrode-Skin Contact Impedances and Artifacts in EEG Recordings With Various Screen-Printed Ag/Agcl Electrodes. IEEE Access 8: 50934-50943 (2020)
2010 – 2019
- 2019
- [j2]Laura Kalevo, Tomi Miettinen, Akseli Leino, Samu Kainulainen, Katja Myllymaa, Juha Töyräs, Timo Leppänen, Sami Myllymaa:
Improved Sweat Artifact Tolerance of Screen-Printed EEG Electrodes by Material Selection-Comparison of Electrochemical Properties in Artificial Sweat. IEEE Access 7: 133237-133247 (2019) - 2018
- [j1]Tomi Miettinen, Katja Myllymaa, Susanna Westeren-Punnonen, Jari Ahlberg, Taina Hukkanen, Juha Töyräs, Reijo Lappalainen, Esa Mervaala, Kirsi Sipila, Sami Myllymaa:
Success Rate and Technical Quality of Home Polysomnography With Self-Applicable Electrode Set in Subjects With Possible Sleep Bruxism. IEEE J. Biomed. Health Informatics 22(4): 1124-1132 (2018)
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