Akseli Leino
Visiting Researcher
Postdoctoral researcher
Department of Technical Physics, Faculty of Science, Forestry and Technology
akselile@uef.fi
Research groups
Publications
12/12 items-
Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG
Leino, Akseli; Korkalainen, Henri; Kalevo, Laura; Nikkonen, Sami; Kainulainen, Samu; Ryan, Alexander; Duce, Brett; Sipila, Kirsi; Ahlberg, Jari; Sahlman, Johanna; Miettinen, Tomi; Westeren-Punnonen, Susanna; Mervaala, Esa; Toyras, Juha; Myllymaa, Sami; Leppanen, Timo; Myllymaa, Katja. 2022. IEEE access. 10: 26554-26566 -
Novel computational methods for improved sleep apnea diagnostics: special focus on stroke patients
Leino, Akseli. 2022. Publications of the University of Eastern Finland. Dissertations in Forestry and Natural Sciences -
Self-Applied Electrode Set Provides a Clinically Feasible Solution Enabling EEG Recording in Home Sleep Apnea Testing
Kalevo, Laura; Miettinen, Tomi; Leino, Akseli; Westeren-Punnonen, Susanna; Sahlman, Johanna; Mervaala, Esa; Toyras, Juha; Leppanen, Timo; Myllymaa, Sami; Myllymaa, Katja. 2022. IEEE access. 10: 60633-60642 -
Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network
Nikkonen, Sami; Korkalainen, Henri; Leino, Akseli; Myllymaa, Sami; Duce, Brett; Leppänen, Timo; Töyräs, Juha. 2021. IEEE journal of biomedical and health informatics. 25: 2917-2927 -
Detailed assessment of sleep architecture with deep learning and shorter epoch-to-epoch duration reveals sleep fragmentation of patients with obstructive sleep apnea
Korkalainen, Henri; Leppänen, Timo; Duce, Brett; Kainulainen, Samu; Aakko, Juhani; Leino, Akseli; Kalevo, Laura; Afara, Isaac O; Myllymaa, Sami; Töyräs, Juha. 2021. IEEE journal of biomedical and health informatics. 25: 2567-2574 -
Neural network analysis of nocturnal SpO2 signal enables easy screening of sleep apnea in patients with acute cerebrovascular disease
Leino, Akseli; Nikkonen, Sami; Kainulainen, Samu; Korkalainen, Henri; Töyräs, Juha; Myllymaa, Sami; Leppänen, Timo; Ylä-Herttuala, Salla; Westeren-Punnonen, Susanna; Muraja-Murro, Anu; Jäkälä, Pekka; Mervaala, Esa; Myllymaa, Katja. 2021. Sleep medicine. 79: 71-78 -
Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea
Korkalainen, H; Aakko, J; Duce, B; Kainulainen, S; Leino, A; Nikkonen, S; Afara, I O; Myllymaa, S; Töyräs, J; Leppänen, T. 2020. Sleep. 43: zsaa098 -
Effect of sweating on electrode-skin contact impedances and artifacts in EEG recordings with various screen-printed Ag/Agcl electrodes
Kalevo, Laura; Miettinen, Tomi; Leino, Akseli; Kainulainen, Samu; Korkalainen, Henri; Myllymaa, Katja; Töyräs, Juha; Leppänen, Timo; Laitinen, Tiina; Myllymaa, Sami. 2020. IEEE access. 8: 50934-50943 -
Estimating daytime sleepiness with previous night EEG, EOG and EMG spectrograms in patients with suspected sleep apnea using a convolutional neural network
Nikkonen, Sami; Korkalainen, Henri; Kainulainen, Samu; Myllymaa, Sami; Leino, Akseli; Kalevo, Laura; Oksenberg, Arie; Leppänen, Timo; Töyräs, Juha. 2020. Sleep. 43: zsaa106 -
Increased nocturnal arterial pulsation frequencies of obstructive sleep apnoea patients is associated with an increased number of lapses in a psychomotor vigilance task
Kainulainen, Samu; Duce, Brett; Korkalainen, Henri; Leino, Akseli; Huttunen, Riku; Kalevo, Laura; Arnardottir, Erna S; Kulkas, Antti; Myllymaa, Sami; Töyräs, Juha; Leppänen, Timo. 2020. ERJ open research. 6: 00277-202