Search Results - "Nikkonen, Sami"

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  1. 1

    STAR sleep recording export software for automatic export and anonymization of sleep studies by Nikkonen, Sami, Korkalainen, Henri, Töyräs, Juha, Leppänen, Timo

    Published in Scientific reports (23-09-2022)
    “…Sleep research often relies on large retrospective clinical datasets. However, as the data is usually stored in proprietary formats specific for each sleep…”
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    Journal Article
  2. 2

    Artificial neural network analysis of the oxygen saturation signal enables accurate diagnostics of sleep apnea by Nikkonen, Sami, Afara, Isaac O., Leppänen, Timo, Töyräs, Juha

    Published in Scientific reports (13-09-2019)
    “…The severity of obstructive sleep apnea (OSA) is classified using apnea-hypopnea index (AHI). Accurate determination of AHI currently requires manual analysis…”
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  3. 3

    Longer apneas and hypopneas are associated with greater ultra-short-term HRV in obstructive sleep apnea by Hietakoste, Salla, Korkalainen, Henri, Kainulainen, Samu, Sillanmäki, Saara, Nikkonen, Sami, Myllymaa, Sami, Duce, Brett, Töyräs, Juha, Leppänen, Timo

    Published in Scientific reports (09-12-2020)
    “…Low long-term heart rate variability (HRV), often observed in obstructive sleep apnea (OSA) patients, is a known risk factor for cardiovascular diseases…”
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  4. 4

    Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network by Nikkonen, Sami, Korkalainen, Henri, Leino, Akseli, Myllymaa, Sami, Duce, Brett, Leppanen, Timo, Toyras, Juha

    “…The diagnosis of obstructive sleep apnea is based on daytime symptoms and the frequency of respiratory events during the night. The respiratory events are…”
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  5. 5

    Author Correction: Artificial neural network analysis of the oxygen saturation signal enables accurate diagnostics of sleep apnea by Nikkonen, Sami, Afara, Isaac O., Leppänen, Timo, Töyräs, Juha

    Published in Scientific reports (13-03-2020)
    “…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
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  6. 6

    Longer and Deeper Desaturations Are Associated With the Worsening of Mild Sleep Apnea: The Sleep Heart Health Study by Karhu, Tuomas, Myllymaa, Sami, Nikkonen, Sami, Mazzotti, Diego R, Töyräs, Juha, Leppänen, Timo

    Published in Frontiers in neuroscience (28-04-2021)
    “…Obesity, older age, and male sex are recognized risk factors for sleep apnea. However, it is unclear whether the severity of hypoxic burden, an essential…”
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  7. 7

    Morbid obesity influences the nocturnal electrocardiogram wave and interval durations among suspected sleep apnea patients by Kainulainen, Samu, Suni, Aaron, Lipponen, Jukka A., Kulkas, Antti, Duce, Brett, Korkalainen, Henri, Nikkonen, Sami, Sillanmäki, Saara

    Published in Annals of noninvasive electrocardiology (01-01-2024)
    “…Background Obesity is a global issue with a major impact on cardiovascular health. This study explores how obesity influences nocturnal cardiac…”
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  8. 8

    Excessive daytime sleepiness is associated with relative delta frequency power among patients with mild OSA by Howarth, Timothy, Tashakori, Masoumeh, Karhu, Tuomas, Rusanen, Matias, Pitkänen, Henna, Oksenberg, Arie, Nikkonen, Sami

    Published in Frontiers in neurology (05-04-2024)
    “…Excessive daytime sleepiness (EDS) is a cause of low quality of life among obstructive sleep apnoea (OSA) patients. Current methods of assessing and predicting…”
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  9. 9

    Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation by Varis, Mikke, Karhu, Tuomas, Leppänen, Timo, Nikkonen, Sami

    Published in Diagnostics (Basel) (17-05-2023)
    “…Obstructive sleep apnea (OSA) severity assessment is based on manually scored respiratory events and their arbitrary definitions. Thus, we present an…”
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  10. 10

    Intra-night variation in apnea-hypopnea index affects diagnostics and prognostics of obstructive sleep apnea by Nikkonen, Sami, Töyräs, Juha, Mervaala, Esa, Myllymaa, Sami, Terrill, Philip, Leppänen, Timo

    Published in Sleep & breathing (01-03-2020)
    “…Background Diagnostics of obstructive sleep apnea (OSA) is based on apnea-hypopnea index (AHI) determined as full-night average of occurred events. We…”
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  11. 11

    QTc prolongation is associated with severe desaturations in stroke patients with sleep apnea by Sillanmäki, Saara, Lipponen, Jukka A, Korkalainen, Henri, Kulkas, Antti, Leppänen, Timo, Nikkonen, Sami, Töyräs, Juha, Duce, Brett, Suni, Aaron, Kainulainen, Samu

    Published in BMC pulmonary medicine (24-05-2022)
    “…Obstructive sleep apnea (OSA) is associated with vascular diseases from which stroke and sudden cardiac death are the most significant ones. It is known that…”
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  12. 12
  13. 13

    Prolonged lung-to-finger circulation time indicates an increased risk of intermittent hypoxaemia in sleep apnoea patients by Pahari, Purbanka, Korkalainen, Henri, Arnardóttir, Erna Sif, Islind, Anna Sigridur, August, Elias, Oksenberg, Arie, Töyräs, Juha, Leppänen, Timo, Nikkonen, Sami

    Published in ERJ open research (01-07-2024)
    “…Intermittent hypoxaemia is closely associated with cardiovascular dysfunction and may be a more accurate indicator of obstructive sleep apnoea (OSA) severity…”
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  14. 14

    Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea by Korkalainen, Henri, Aakko, Juhani, Duce, Brett, Kainulainen, Samu, Leino, Akseli, Nikkonen, Sami, Afara, Isaac O, Myllymaa, Sami, Töyräs, Juha, Leppänen, Timo

    Published in Sleep (New York, N.Y.) (01-11-2020)
    “…Abstract Study Objectives Accurate identification of sleep stages is essential in the diagnosis of sleep disorders (e.g. obstructive sleep apnea [OSA]) but…”
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  15. 15

    Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea by Korkalainen, Henri, Aakko, Juhani, Nikkonen, Sami, Kainulainen, Samu, Leino, Akseli, Duce, Brett, Afara, Isaac O., Myllymaa, Sami, Toyras, Juha, Leppanen, Timo

    “…The identification of sleep stages is essential in the diagnostics of sleep disorders, among which obstructive sleep apnea (OSA) is one of the most prevalent…”
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  16. 16

    A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection by Huttunen, Riku, Leppanen, Timo, Duce, Brett, Arnardottir, Erna S., Nikkonen, Sami, Myllymaa, Sami, Toyras, Juha, Korkalainen, Henri

    “…Objective: Obstructive sleep apnea (OSA) is diagnosed using the apnea-hypopnea index (AHI), which is the average number of respiratory events per hour of…”
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  17. 17

    Reaction time in psychomotor vigilance task is related to hypoxic load in males with sleep apnea by Pahari, Purbanka, Korkalainen, Henri, Karhu, Tuomas, Arnardottir, Erna Sif, Töyräs, Juha, Leppänen, Timo, Nikkonen, Sami

    Published in Journal of sleep research (01-04-2024)
    “…Summary Oxygen saturation (SpO2)‐based parameters are more strongly linked to impaired daytime vigilance than the conventional diagnostic metrics in patients…”
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  18. 18

    ABOSA – Freely available automatic blood oxygen saturation signal analysis software: Structure and validation by Karhu, Tuomas, Leppänen, Timo, Töyräs, Juha, Oksenberg, Arie, Myllymaa, Sami, Nikkonen, Sami

    “…•An accurate and unique automatic blood oxygen saturation signal analysis software.•Produces numerous parameters useful especially in sleep apnea research.•A…”
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  19. 19

    Interhemispheric differences of electroencephalography signal characteristics in different sleep stages by Tashakori, Masoumeh, Rusanen, Matias, Karhu, Tuomas, Grote, Ludger, Nath, Rajdeep Kumar, Leppänen, Timo, Nikkonen, Sami

    Published in Sleep medicine (01-05-2024)
    “…The current electroencephalography (EEG) measurement setup is complex, laborious to set up, and uncomfortable for patients. We hypothesize that differences in…”
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  20. 20

    Mortality‐risk‐based apnea–hypopnea index thresholds for diagnostics of obstructive sleep apnea by Korkalainen, Henri, Töyräs, Juha, Nikkonen, Sami, Leppänen, Timo

    Published in Journal of sleep research (01-12-2019)
    “…Summary The severity of obstructive sleep apnea is clinically assessed mainly using the apnea–hypopnea index. Based on the apnea–hypopnea index, patients are…”
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