Timo Leppänen

44PUBLICATIONS
78CO-AUTHORS
Systems physiologyEpidemiological methodsRespiratory diseasesArtificial life and complex adaptive systemsDeep learning
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Publications (44)

|Jun 19, 2026
Respiratory event type and duration modulate PPG waveforms in OSA.

|Jun 12, 2026
Hypnodensity sleep metrics from fingertip photoplethysmography are better associated with daytime sleepiness and fatigue than traditional metrics from polysomnography.

|Jan 25, 2026
Electromyography Frequency Spectrum Is a Better Indicator of Sleep Bruxism Severity Related to Temporomandibular Disorder Pain Than Conventional Masticatory Muscle Activation and Bruxism Time Indices-A Pilot Study.

Minna Pitkänen, Miro Rytkönen, Tomi Miettinen

|Jan 23, 2026
Association of major adverse cardiovascular events with the apnea-hypopnea index, desaturation severity parameters, and cardiac troponins in participants of the Akershus Sleep APnea (ASAP) cohort.

Xin Feng, Fjola Sigurdardottir, Erna Sif Arnardottir

|Jan 08, 2026
An Explainable Deep-Learning Approach to Detect Pediatric Sleep Apnea From Single-Channel Airflow.

Veronica Barroso-Garcia, Fernando Vaquerizo-Villar, Gonzalo C Gutierrez-Tobal

|Dec 17, 2025
Temporally Continuous Automated Sleep-Wake Classification Using Deep Learning.

Pranavan Somaskandhan, Henri Korkalainen, Timo Leppänen

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Frequent Collaborators

19 joint publications

Juha Töyräs

18 joint publications

Henri Korkalainen

17 joint publications

Samu Kainulainen

16 joint publications

Erna Sif Arnardottir