Revolution of sleep diagnostics and personalized health care based on digital diagnostics and therapeutics with health data integration

Livrables

"Data Management Plan generated for ""Pilot on Open Research Data""."

Data Management Plan generated for Pilot on Open Research Data from Task 11Health actions that participates in the ORDPThe Data Management Plan will be generated within 6 months after the project starts for participating in the H2020 Pilot on Open Research Data This plan will be included in the Project Management Plan which will be updated yearly

First publication of SLEEP REVOLUTION project in JSR or other scientific journal, as deemed appropriate.

First publication of SLEEP REVOLUTION project in JSR or other scientific journal as deemed appropriate from Task 121The ESRS publishes one of the principle international scientific journals the Journal of Sleep Research JSR which with an impact factor of 34 is in the top 3 international scientific sleep journals publishing original research

First dissemination of findings from SLEEP REVOLUTION project.

First dissemination of findings from SLEEP REVOLUTION project from Task 122OSA is a multisystem disorder that has important cardiometabolic comorbidities which are often not well recognised by health professionals and patients within these disciplines ESRS will play a central role in dissemination of relevant findings from SLEEP REVOLUTION to professional organizations with many sleep apnoea patients cardiology neurology respiratory diabetes obesity within Europe to patient organizations as well as to European societies Such dissemination is facilitated by established intersociety links with other European Societies such as the European Society of Hypertension the ERS and the European Academy of Neurology that have already resulted in the publication of joint position papers on the association of sleep apnoea with important comorbidities such as hypertension 64 and stroke 65 A website for the SLEEP REVOLUTION project will also be setup and linked to the the wwwesrseu website

First project presentation at the ESRS Scientific Congresses.

First project presentation at the ESRS Scientific Congresses from Task 121The ESRS holds annual conferences relating to sleep research and medicine The biannual ESRS Congress is the premier scientific congress in Europe relating to sleep research The Sleep and Breathing Congress is a biannual conference held jointly with ERS that is especially focused on education and continuing professional development These events provide the optimum opportunity to present original data arising from research performed in the various WPs of SLEEP REVOLUTION

Translation to different languages

Translation to different languages from Task 74All applicable text and functions in the DMP as seen by healthcare professionals and research staff will be in English A part of the development strategy of the DMP will make the text easily translated to other languages The translation aspect will therefore be included from the start and translating the DMP to a new language will include the manual labour of working with structured files However for the research subjectpatient relevant text and functions in the DMP will need to be translated into the respective language of different countries participating in WP810 This includes the PROMs in the European Sleep Questionnaire and electronic sleep diary NEH which require translation with the assistance of experienced translators The visualizations of data from the wearables will need some translations for each country which this task will also cover If needed text and functions in relation to the mobile application program by SKH objective daytime testing wearables Withings and ES sleep studies NOX and overall platform will also be translated This may however not be needed in all countries depending on the English proficiency of the population eg not needed in Iceland and we will assess which languages are needed as a part of this task

Deep learning algorithm for automatic estimation of sleep microstructure.

Deep learning algorithm for automatic estimation of sleep microstructure from Task 32This deliverable includes the followingTo validate the stateoftheart deep learning methodologies currently being developed for automatic sleep staging by our team The detailed deep learningbased analysis will allow the assessment of a time series analysis of the continuity of sleep microstructure instead of sleep fragmentation definitions based on arbitrary and discrete 30 seconds epochs Finally novel arousal detection will be incorporated into the sleep staging and the effect of arousal length and magnitude to patients wellbeing will be investigated

Respiratory event quantification by an expanded number of potentially important clinical parameters.

Respiratory event quantification by an expanded number of potentially important clinical parameters from Task 31The deliverable includes the following quantificationTo quantify respiratory events A by different physiological parameters This includes parameters such as the traditional AHI apnoea and hypopnea length the individual role of apnoeas vs hypopneas snore percentage and duration of total sleep snore loudness flow limitation and breathing effort Different physiological parameters will be assessed to find the most clinically relevant methods of quantifying A

Recommendations for most relevant and information-rich signals to be measured in sleep studies.

Recommendations for most relevant and informationrich signals to be measured in sleep studies from Task 53Using the sophisticated deep neural networks for an accurate SDB diagnosis and severity assessment will guide us to select the most informationrich signals and determine the minimum sensor and sampling setups needed This is critically important to optimise the diagnostic sensitivity minimum sensor setup maximal patient comfort and automation of data processing and analysis This information will be used for the final design of the SAS system in WP6 and included in the stateoftheart scoring manual created in WP4 D44

Real-world estimates of long-term costs of OSA

Realworld estimates of longterm costs of OSA from Task 111This deliverable is to collect relevant data on longterm costs of SDB and OSA using the retrospective data collected in WP3 This data will be utilized to select the most relevant measures and outcomes As the outcomesmeasures are not specific to SDB alone SDBrelated contribution will be extracted by using population attributable factors based on the known prevalence of diseases and increased risks related to SDB and OSA Here the analysed datasets will include at least 1 a longitudinal Kuopio Osteoporosis Risk Factor and Prevention Study OSTPREstudy on more than 14000 aging females followed since 1989 with questionnaires health investigations and registerbased followup and 2 a registerbased Diabetes in Finland FinDMresearch dataset of about one million persons with diagnosed diabetes since 1964

Comparison of unsupervised and supervised learning outcomes for SDB-related co-morbidities.

Comparison of unsupervised and supervised learning outcomes for SDBrelated comorbidities from Task 52Here we will to use backpropagation to pinpoint the most relevant signal features utilised by the machine learning approach when predicting the probabilities for OSArelated comorbidities and compare unsupervised to supervised machine learning techniques

Reliability report on automatic and manual scorings.

Reliability report on automatic and manual scorings from Task 42The agreement between the automatic analysis approach D41 and manual scorers D42 will be evaluated and submitted in a report

Acute systemic effect quantification by an expanded number of potentially important clinical parameters.

Acute systemic effect quantification by an expanded number of potentially important clinical parameters from Task 33The deliverable includes the followingTo expand the selection of parameters for pulse oximetry and ECG data for evaluating the risk of the most common OSArelated comorbidities such as cardiovascular diseases cerebrovascular diseases and metabolic disorders

Establishment of an ethical guardian at each study site.

Establishment of an ethical guardian at each study site from Task 13.2.Due to the complexity of the network involved in this study, an ethical guardian will be appointed to co-ordinate ethical approval application processes in each of the institutions and countries involved in the data collection.

Establishment of the External Ethics Advisory Board

Establishment of the External Ethics Advisory Board from Task 13.2.a one-person EEAB will be established at the beginning of the project and maintained until the end of the project.

Publications

Future Treatment of Sleep Disorders: Syndromic Approach Versus Management of Treatable Traits?

Auteurs: Dirk Pevernagie
Publié dans: Sleep Medicine Clinics, Numéro vol 16 (3), 2021, Page(s) 465-473, ISSN 1556-407X
Éditeur: Elsevier BV
DOI: 10.1016/j.jsmc.2021.05.005

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

Auteurs: Purbanka Pahari, Henri Korkalainen, Tuomas Karhu, Marika Rissanen, Erna Sif Arnardottir, Harald Hrubos-Strøm, Brett Duce, Juha Töyräs, Timo Leppänen, Sami Nikkonen
Publié dans: Journal of Sleep Research, 2022, ISSN 1613-6810
Éditeur: Wiley - V C H Verlag GmbbH & Co.
DOI: 10.1111/jsr.13803

Machine Learning and Wearable Technology in Sleep Medicine

Auteurs: T. Leppänen, C. Varon, M.d. Zambotti, and S. Myllymaa
Publié dans: Front. Digit. Health, 2022, 4:845879, Numéro 2673253X, 2022, ISSN 2673-253X
Éditeur: Frontiers in digital health
DOI: 10.3389/fdgth.2022.845879

Evaluating User Compliance in Mobile Health Apps: Insights from a 90-Day Study Using a Digital Sleep Diary

Auteurs: Hlín Kristbergsdottir; Lisa Schmitz; Erna Sif Arnardottir; Anna Sigridur Islind
Publié dans: Diagnostics, Vol 13, Iss 18, p 2883 (2023), Numéro 5, 2023, ISSN 2075-4418
Éditeur: Basel: MDPI AG
DOI: 10.3390/diagnostics13182883

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

Auteurs: M. Rusanen, S. Myllymaa, L. Kalevo, K. Myllymaa, J. Töyräs, T. Leppänen, and S. Kainulainen
Publié dans: IEEE Access, 2021, 9:132580-132591, Numéro 21693536, 2021, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3113049

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

Auteurs: LAURA KALEVO, TOMI MIETTINEN, AKSELI LEINO, SUSANNA WESTEREN-PUNNONEN, JOHANNA SAHLMAN, ESA MERVAALA, JUHA TÖYRÄS, TIMO LEPPÄNEN, SAMI MYLLYMAA, KATJA MYLLYMAA
Publié dans: IEEE Access, Numéro vol 10, 2022, Page(s) 60633-60642, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3178189

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

Auteurs: 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 Toyras; Sami Myllymaa; Timo Leppanen; Katja Myllymaa
Publié dans: IEEE Access, Numéro Vol 10, 2022, Page(s) 26554 - 26566, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3154899

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

Auteurs: Tuomas Karhu, Timo Leppänen, Juha Töyräs, Arie Oksenberg, Sami Myllymaa, Sami Nikkonen
Publié dans: Computer Methods and Programs in Biomedicine, Numéro vol 226, 2022, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1016/j.cmpb.2022.107120

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

Auteurs: M. Rusanen, R. Huttunen, H. Korkalainen, S. Myllymaa, J. Töyräs, K. Myllymaa, S. Sigurdardottir, K. A. Olafsdottir, T. Leppänen, E. S. Arnardottir, S. Kainulainen
Publié dans: IEEE Journal of Biomedical and Health Informatics, 2023, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jbhi.2023.3240437

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

Auteurs: Somaskandhan P, Leppänen T, Terrill PI, Sigurdardottir S, Arnardottir ES, Ólafsdóttir KA, Serwatko M, Sigurðardóttir SÞ, Clausen M, Töyräs J and Korkalainen H
Publié dans: Sleep Disorders, a section of the journal Frontiers in Neurology, 2023, ISSN 1664-2295
Éditeur: Frontiers Research Foundation
DOI: 10.3389/fneur.2023.1162998

The Role of Patient-Reported Outcomes in Sleep Measurements

Auteurs: Dirk Pevernagie, Fré A.Bauters, Katrien Hertegonne
Publié dans: Sleep Medicine Clinics, Numéro vol 16 (4), 2021, Page(s) 595-606, ISSN 1556-407X
Éditeur: Elsevier BV
DOI: 10.1016/j.jsmc.2021.07.001

The Future of Sleep Measurements: A Review and Perspective.

Auteurs: Erna Sif Arnardottir; Anna Sigridur Islind; María Óskarsdóttir
Publié dans: Sleep Medicine Clinics, Numéro 16 (3), 2021, Page(s) 447-464, ISSN 1556-407X
Éditeur: Elsevier BV
DOI: 10.1016/j.jsmc.2021.05.004

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

Auteurs: S. Sillanmäki, J. Lipponen, H. Korkalainen, A. Kulkas, T. Leppänen, J. Töyräs, B. Duce, S. Kainulainen
Publié dans: BMC Pulmonary Medicine volume 22, Article number: 204 (2022), Numéro 14712466, 2022, ISSN 1471-2466
Éditeur: BioMed Central
DOI: 10.1186/s12890-022-01996-y

Error Propagation from Sleep Stage Classification to Derived Sleep Parameters in Machine Learning on Data from Wearables

Auteurs: Emil Hardarson; Anna Sigridur Islind; Erna Sif Arnardottir; María Óskarsdóttir
Publié dans: Current Sleep Medicine Reports, Numéro 2, 2023, ISSN 2198-6401
Éditeur: Springer Nature
DOI: 10.1007/s40675-023-00253-w

Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity

Auteurs: T. Leppänen, S. Myllymaa, A. Kulkas, and J. Töyräs
Publié dans: Sleep, Volume 44, Numéro 9, September 2021, zsab134,, Numéro 01618105, 2021, ISSN 0161-8105
Éditeur: The American Academy of Sleep Medicine
DOI: 10.1093/sleep/zsab134

Deep learning for sleep analysis on children with sleep-disordered breathing: Automatic detection of mouth breathing events.

Auteurs: Sturludóttir Jóna Elísabet, Sigurðardóttir Sigríður, Serwatko Marta, Arnardóttir Erna S., Hrubos-Strøm Harald, Clausen Michael Valur, Sigurðardóttir Sigurveig, Óskarsdóttir María, Islind Anna Sigridur
Publié dans: Frontiers in Sleep, Numéro Vol 2, 2023, ISSN 2813-2890
Éditeur: Frontiers Media SA
DOI: 10.3389/frsle.2023.1082996

Explaining cognitive complaints in obstructive sleep apnea (OSA) with OSA severity, depression symptoms, and sleep architecture: a path model analysis

Auteurs: B. Gailer; E. Richert; E.S. Arnardóttir; K.R. Jóhannsdóttir
Publié dans: Neuroscience Applied, Numéro 1, 2023, ISSN 2772-4085
Éditeur: Amsterdam Elsevier B.V.
DOI: 10.1016/j.nsa.2023.103833

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

Auteurs: Fábio Mendonça, Sheikh Shanawaz Mostafa, Ankit Gupta, Erna Sif Arnardottir, Timo Leppänen, Fernando Morgado-Dias, Antonio G Ravelo-García
Publié dans: Sleep, 2022;, zsac217, Numéro 01618105, 2022, ISSN 0161-8105
Éditeur: The American Academy of Sleep Medicine
DOI: 10.1093/sleep/zsac217

Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study

Auteurs: María Óskarsdóttir, Anna Sigríður Íslind, Elias August, Erna Sif Arnardóttir, François Patou, Anja M Maier
Publié dans: JMIR Formative Research, Numéro Vol 6, No 2 (2022): February, 2022, Page(s) 455, ISSN 2561-326X
Éditeur: JMIR Publications
DOI: 10.2196/31807

Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings

Auteurs: M. Rusanen, S. Kainulainen, H. Korkalainen, T. Leppänen, J. Töyräs, E.S. Arnardóttir, S. Myllymaa
Publié dans: IEEE Access, Numéro 21693536, 2021, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3128057

The economic cost of obstructive sleep apnea: A systematic review

Auteurs: Ida Alakörkkö, Soili Törmälehto, Timo Leppänen, Walter T. McNicholas, Erna S. Arnardottir, Reijo Sund,
Publié dans: Sleep Medicine Reviews, Numéro Volume 72, 2023, ISSN 1087-0792
Éditeur: W. B. Saunders Co., Ltd.
DOI: 10.1016/j.smrv.2023.101854

Gamma Power of ElectroencephalogramArousal Is Modulated by Respiratory EventType and Severity in Obstructive Sleep Apnea

Auteurs: Henna Pitkänen , Brett Duce , Timo Leppänen , Samu Kainulainen , Antti Kulkas , Sami Myllymaa , Juha Töyräs , and Henri Korkalainen
Publié dans: IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,, Numéro vol 69, 2022, Page(s) 1417-1423, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/tbme.2021.3118229

The Sleep Revolution: the concept and objectives

Auteurs: E.S. Arnardottir, A.S. Islind, M. Óskarsdóttir, K.A. Ólafsdóttir, E. August, L. Jónasdóttir, H. Hrubos-Strøm, J.M. Saavedra, L. Grote, J. Hedner, S. Höskuldsson, J. Skírnir Ágústsson, K. Rún Jóhannsdóttir, W.T. McNicholas, D. Pevernagie, R. Sund, J. Töyräs, T. Leppänen, On behalf of the Sleep Revolution
Publié dans: J Sleep Res . 2022 Aug;31(4):e13630. doi: 10.1111/jsr.13630. Epub 2022 Jun 30., Numéro 13652869, 2022, ISSN 1365-2869
Éditeur: Journal of Sleep Research
DOI: 10.1111/jsr.13630

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

Auteurs: Timothy P. Howarth; Tuomas Karhu; Samu Kainulainen; Xin Chen; Alaa Mahamid; Juha Töyräs; Timo Leppänen
Publié dans: Sleep Medicine, Numéro 20, 2023, ISSN 1389-9457
Éditeur: Elsevier BV
DOI: 10.1016/j.sleep.2023.04.027

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

Auteurs: Arie Oksenberg, Timo Leppänen
Publié dans: Sleep Medicine Reviews, Numéro vol 68, 2022, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1016/j.smrv.2022.101729

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

Auteurs: Serajeddin Ebrahimian, Saara Sillanmäki, Salla Hietakoste, Brett Duce, Antti Kulkas, Juha Töyräs, Timo Leppänen, Jukka A. Lipponen, Samu Kainulainen
Publié dans: Plos One, Numéro 17 (12), 2022, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0278520

Ambulatory diagnosis of sleep-disordered breathing: Pushing out the boundaries

Auteurs: Walter T. McNicholas
Publié dans: Med, Numéro Vol 4 Numéro 12, 2023, ISSN 2666-6340
Éditeur: Elsevier
DOI: 10.1016/j.medj.2023.11.009

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

Auteurs: Sami Nikkonen, Henri Korkalainen, Juha Töyräs & Timo Leppänen
Publié dans: Nature, Numéro 12, 2022, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-022-19892-0

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

Auteurs: S. Ebrahimian, A. Nahvi, M. Tashakori, H. Salmanzadeh, O. Mohseni, and T. Leppänen
Publié dans: Int J Environ Res Public Health, Numéro 16604601, 2022, ISSN 1660-4601
Éditeur: Int J Environ Res Public Health
DOI: 10.3390/ijerph191710736

Automatic Detection of Electrodermal Activity Events during Sleep

Auteurs: Jacopo Piccini; Elias August; Sami Leon Noel Aziz Hanna; Tiina Siilak; Erna Sif Arnardóttir
Publié dans: Signals, Vol 4, Iss 4, Pp 877-891 (2023), Numéro 2, 2023, ISSN 2624-6120
Éditeur: Basel: MDPI AG
DOI: 10.3390/signals4040048

Self-Applied Home Sleep Recordings: The Future of Sleep Medicine

Auteurs: Henri Korkalainen, Sami Nikkonen, Samu Kainulainen, Amit Krishna Dwivedi, Sami Myllymaa, Timo Leppänen, Juha Töyräs
Publié dans: Sleep Medicine Clinics, Numéro Volume 16, Numéro 4,, 2021, Page(s) 545-556, ISSN 1556-407X
Éditeur: Elsevier BV
DOI: 10.1016/j.jsmc.2021.07.003

Objective Measures of Cognitive Performance in Sleep Disorder Research.

Auteurs: Kamilla Run Johannsdottir; Dimitri Ferretti; Birta Sóley Árnadóttir; Maria K. Jonsdottir
Publié dans: Sleep Medicine Clinics, Numéro 16 (4), 2021, Page(s) 575-593, ISSN 1556-407X
Éditeur: Elsevier BV
DOI: 10.1016/j.jsmc.2021.08.002

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

Auteurs: Fjola D. Sigurdardottir; Caroline Tonje Øverby; Sami Nikkonen; Tuomas Karhu; Toril Dammen; Inger Hilde Nordhus; Thea Thorshov; Gunnar Einvik; Samu Kainulainen; Timo Leppänen; Erna Sif Arnardottir; Juha Töyräs; Torbjørn Omland; Harald Hrubos‐Strøm
Publié dans: Journal of sleep medicine, 2022, ISSN 1613-6810
Éditeur: Wiley - V C H Verlag GmbbH & Co.
DOI: 10.1111/jsr.13581

Obstructive sleep apnoea-related respiratory events and desaturation severity are associated with the cardiac response

Auteurs: Salla Hietakoste; Tuomas Karhu; Saara Sillanmäki; Raquel Bailón; Thomas Penzel; Juha Töyräs; Timo Leppänen; Sami Myllymaa; Samu Kainulainen
Publié dans: EJR - European Respiratory Journal, ERJ Open Research, Numéro 8 (4), 2022, ISSN 2312-0541
Éditeur: ERJ
DOI: 10.1183/23120541.00121-2022

The relationship between sleep parameters and symptoms of depression, anxiety, and stress in sleep-disordered breathing

Auteurs: E. Richert; E.S. Arnardóttir; K.R. Jóhannsdóttir
Publié dans: Crossref, Numéro 20, 2023, ISSN 2772-4085
Éditeur: Amsterdam Elsevier B.V.
DOI: 10.1016/j.nsa.2023.102535

Using the Electrodermal Activity Signal and Machine Learning for Diagnosing Sleep

Auteurs: Jacopo Piccini, Elias August, María Óskarsdóttir, Erna Sif Arnardóttir
Publié dans: Frontiers in Sleep, 2023, ISSN 2813-2890
Éditeur: Frontiers Media SA
DOI: 10.3389/frsle.2023.1127697

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

Auteurs: Riku Huttunen, Timo Leppanen, Brett Duce, Erna S Arnardottir, Sami Nikkonen, Sami Myllymaa, Juha Toyras, Henri Korkalainen
Publié dans: IEEE Transactions on Biomedical Engineering, 2022, Page(s) 1-12, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/tbme.2022.3225268

Toward Sleep Study Automation: Detection Evaluation of Respiratory-Related Events

Auteurs: Michal Borsky, Marta Serwatko, Erna S Arnardottir, Jacky Mallett
Publié dans: IEEE J Biomed Health Inform . 2022 Jul;26(7):3418-3426., Numéro 21682194, 2022, ISSN 2168-2194
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jbhi.2022.3159727

Desaturation event scoring criteria affect the perceived severity ofnocturnal hypoxic load

Auteurs: Tuomas Karhu, Timo Leppänen, Henri Korkalainen, Sami Myllymaa, Brett Duce, Juha Töyräs, Sami Nikkonen
Publié dans: Sleep medicine, Numéro vol. 100, 2022, Page(s) 479-486, ISSN 1389-9457
Éditeur: Elsevier BV
DOI: 10.1016/j.sleep.2022.09.024

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

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

Auteurs: Biedebach L, Rusanen M, Þórðarson B. Þ, Arnardóttir ES, Óskarsdóttir M, Nikkonen S, Korkalainen H, Myllymaa S, Töyräs J, Kainulainen S, Leppänen T and Islind AS
Publié dans: Proceedings of the 56th Hawaii International Conference on System Sciences 2023 (HICSS), 2023
Éditeur: HICSS

Towards a Digital Sleep Diary Standard.

Auteurs: Schmitz, L., Sveinbjarnarson, B. F., Gunnarsson, G. N., Davíðsson, Ó. A., Davíðsson, Þ. B., Arnardottir, E. S, Óskarsdóttir, M. & Islind, A. S.
Publié dans: Americas Conference on Information Systems (AMCIS), Minneapolis, USA, August 2022, 2022
Éditeur: Americas Conference on Information Systems (AMCIS)

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

Auteurs: T. Leppänen, S. Kainulainen, H. Korkalainen, S. Sillanmäki, A. Kulkas, J. Töyräs, S. Nikkonen
Publié dans: Advances in Experimental Medicine and Biology book series (AEMB,volume 1384), 2022, ISBN 978-3-031-06413-5
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-06413-5_12

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