Timo Leppänen

Tarkenna hakuasi

Tiedot Julkaisut

Aloitin opintoni Sovelletun fysiikan laitoksella, Itä-Suomen yliopistossa vuonna 2011 oltuani sitä ennen kaksi vuotta Puolustusvoimien palveluksessa. Suoritin luonnontieteiden kandidaatin ja filosofian maisterin tutkinnot sekä valmistuin filosofian tohtoriksi nopeasti viidessä vuodessa. Nopeasta aikataulusta huolimatta väitöskirjani oli laadukas ja siinä esitellyt tulokset tieteellisesti merkittäviä, mistä osoituksena kiittäen hyväksytty arvosana. Tohtoriksi valmistumisen jälkeen olen toiminut unitutkimusryhmän (Sleep Technology and Analytics Group, STAG) johtajana. Tutkimusryhmämme on erikoistunut unihäiriöihin ja kehitämme uusia menetelmiä ja laskennallisia työkaluja unirekisteröintien analysointiin. Lisäksi olen pystynyt luomaan laajan kansainvälisen tutkimusyhteistyöverkoston maailman johtavien unitutkijoiden, tutkimusorganisaatioiden ja toimialan yritysten kanssa. Tutkimukseni rahoitetaan pääasiassa Suomen Akatemian, Business Finlandin ja yksityisten säätiöiden myöntämillä rahoituksilla.

Tutkimustyöni liittyy lääketieteelliseen fysiikkaan, mutta sillä on vahva rajapinta myös kliiniseen lääketieteeseen. Tutkimustyöni on hieno esimerkki tieteiden (ja tiedekuntien) välisestä yhteistyöstä Itä-Suomen yliopistossa sekä toimivasta tutkimusyhteistyöstä Itä-Suomen yliopiston ja Kuopion yliopistollisen sairaalan välillä.

Tutkimusryhmät

Sleep Technology and Analytics Research (STAR) Group 01.01.2017 -

Avainsanat

tekoäly uniapnea

Julkaisut

119/119 kappaletta

Tarkenna hakuasi

Tutkimusryhmät

Avainsanat

Artificial intelligence in sleep medicine I: Diagnosis, treatment, care, and research

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

Automated deep learning-based arousal detection complies with ten expert scorers in unseen data

Deep Learning-Based Assessment of Sleepiness from Fingertip Pulse Wave Analysis During Objective Daytime Testing

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

Five-year longitudinal changes in oxygen saturation parameters in Obstructive Sleep Apnoea: Impact of age, body mass index, and comorbidities

Hypnodensity sleep metrics from fingertip photoplethysmography are better associated with daytime sleepiness and fatigue than traditional metrics from polysomnography

Machine learning prediction of the change in sleepiness following continuous positive airway pressure in obstructive sleep apnea: a multi-cohort analysis

Respiratory event type and duration modulate PPG waveforms in OSA

Review of Hypoxemia Quantification Methods for Assessing the Severity of Obstructive Sleep Apnea

The Relative Contributions of Arousal Presence and Arousal Intensity to Post-Respiratory-Event Ventilation in Obstructive Sleep Apnea

Trial Protocol: A Randomised, Controlled Cross‐Over Trial Evaluating the Digital Sleep Revolution Diagnostic‐Therapeutic Pathway for Obstructive Sleep Apnoea

A novel mobile application to examine impaired vigilance through digital means

An explainable deep-learning approach to detect pediatric sleep apnea from single-channel airflow

Behavioral interventions as treatment for insomnia – A scoping review of randomized controlled trials

Community prevalence of positional obstructive sleep apnea

Hypoxemia and arousals modulate cardiac responses to respiratory events in obstructive sleep apnea

Hypoxic Load and Average Oxygen-Saturation During Sleep and Wake Are Associated With Cognitive Function in Obstructive Sleep Apnea

Nocturnal short-term HRV reflects impaired daytime vigilance better than overnight HRV in suspected OSA patients

Optimal Electroencephalogram and Electrooculogram Signal Combination for Deep Learning-based Sleep Staging

Validation of manually scored multichannel frontal electroencephalography against polysomnography in a paediatric cohort

A comparative analysis of unsupervised machine‐learning methods in PSG‐related phenotyping

Arousal burden is highest in supine sleeping position and during light sleep

Beat-to-beat cardiac repolarization lability increases during hypoxemia and arousals in obstructive sleep apnea patients

Hypoxaemic load in sleep apnoea is associated with acute changes in T-wave amplitude

Increased Flow Limitation During Sleep Is Associated With Increased Psychomotor Vigilance Task Lapses in Individuals With Suspected OSA

Increased flow limitation during sleep is associated with decreased psychomotor vigilance task performance in individuals with suspected obstructive sleep apnea: a multi-cohort study

Interhemispheric differences of electroencephalography signal characteristics in different sleep stages

Nocturnal oxygen resaturation parameters are associated with cardiorespiratory comorbidities

Prolonged lung-to-finger circulation time indicates an increased risk of intermittent hypoxaemia in sleep apnoea patients

Respiratory event index underestimates severity of sleep apnea compared to apnea-hypopnea index

Retrospective validation of automatic sleep analysis with grey areas model for human‐in‐the‐loop scoring approach

Sleep stage continuity is associated with objective daytime sleepiness in patients with suspected obstructive sleep apnea

Temporal and sleep stage‐dependent agreement in manual scoring of respiratory events

The role of physical activity on obstructive sleep apnea severity and hypoxic load, and the mismatch between subjective and objective physical activity assessments

Variation in the Photoplethysmogram Response to Arousal From Sleep Depending on the Cause of Arousal and the Presence of Desaturation

Verbal memory is linked to average oxygen saturation during sleep, not the apnea-hypopnea index nor novel hypoxic load variables

Acute cardiorespiratory coupling impairment in worsening sleep apnea-related intermittent hypoxemia

CPAP therapy for obstructive sleep apnoea: persisting challenges in outcome assessment

Consumer sleep technology for the screening of obstructive sleep apnea and snoring: current status and a protocol for a systematic review and meta‐analysis of diagnostic test accuracy

Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls

Generalizable Deep Learning-based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings

Joint use of a low thermal resolution thermal camera and an RGB camera for respiration measurement

Multicentre sleep-stage scoring agreement in the Sleep Revolution project

Multi‐centre arousal scoring agreement in the Sleep Revolution

Nasal Pressure Derived Airflow Limitation and Ventilation Measurements are Resilient to Reduced Signal Quality

Obstructive Sleep Apnea Patients With Atrial Arrhythmias Suffer From Prolonged Recovery From Desaturations

Oxygen resaturation rate is significantly associated with objectively assessed excessive daytime sleepiness in suspected obstructive sleep apnoea patients

Reaction time in psychomotor vigilance task is related to hypoxic load in males with sleep apnea

Review and perspective on sleep-disordered breathing research and translation to clinics

Self‐applied somnography: technical feasibility of electroencephalography and electro‐oculography signal characteristics in sleep staging of suspected sleep‐disordered adults

The economic cost of obstructive sleep apnea: A systematic review

Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders

Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation

A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection

A-phase index: an alternative view for sleep stability analysis based on automatic detection of the A-phases from the cyclic alternating pattern

ABOSA – Freely available automatic blood oxygen saturation signal analysis software: Structure and validation

Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG

Desaturation event scoring criteria affect the perceived severity of nocturnal hypoxic load

Duration of respiratory events in obstructive sleep apnea: Factors influencing the duration of respiratory events

Duration of respiratory events in obstructive sleep apnea: In search of paradoxical results

Editorial: Machine Learning and Wearable Technology in Sleep Medicine

Gamma Power of Electroencephalogram Arousal is Modulated by Respiratory Event Type and Severity in Obstructive Sleep Apnea

Inter-sleep stage variations in corrected QT interval differ between obstructive sleep apnea patients with and without stroke history

Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks

Novel oxygen desaturation parameters are associated with cardiac troponin I: Data from the Akershus Sleep Apnea Project

OSA-related respiratory events and desaturation severity are associated with the cardiac response

Obstructive sleep apnea‐related intermittent hypoxaemia is associated with impaired vigilance

Pulse Oximetry: The Working Principle, Signal Formation, and Applications

QTc prolongation is associated with severe desaturations in stroke patients with sleep apnea

STAR sleep recording export software for automatic export and anonymization of sleep studies

Self-Applied Electrode Set Provides a Clinically Feasible Solution Enabling EEG Recording in Home Sleep Apnea Testing

The Sleep Revolution project: the concept and objectives

An In-Laboratory Comparison of FocusBand EEG Device and Textile Electrodes Against a Medical-Grade System and Wet Gel Electrodes

Assessment of Obstructive Sleep Apnea-Related Sleep Fragmentation Utilizing Deep Learning-Based Sleep Staging from Photoplethysmography

Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network