Literature DB >> 28829322

Success Rate and Technical Quality of Home Polysomnography With Self-Applicable Electrode Set in Subjects With Possible Sleep Bruxism.

Tomi Miettinen, Katja Myllymaa, Susanna Westeren-Punnonen, Jari Ahlberg, Taina Hukkanen, Juha Toyras, Reijo Lappalainen, Esa Mervaala, Kirsi Sipila, Sami Myllymaa, Tomi Miettinen, Katja Myllymaa, Susanna Westeren-Punnonen, Jari Ahlberg, Taina Hukkanen, Juha Toyras, Reijo Lappalainen, Esa Mervaala, Kirsi Sipila, Sami Myllymaa.   

Abstract

Using sleep laboratory polysomnography (PSG) is restricted for the diagnosis of only the most severe sleep disorders due to its low availability and high cost. Home PSG is more affordable, but applying conventional electroencephalography (EEG) electrodes increases its overall complexity and lowers the availability. Simple, self-administered single-channel EEG monitors on the other hand suffer from poor reliability. In this study, we aimed to quantify the reliability of self-administrated home PSG recordings conducted with a newly designed ambulatory electrode set (AES) that enables multichannel EEG, electrooculography, electromyography, and electrocardiography recordings. We assessed the sleep study success rate and technical quality of the recordings performed in subjects with possible sleep bruxism (SB). Thirty-two females and five males aged 39.6 ± 11.6 years (mean±SD) with self-reported SB were recruited in the study. Self-administrated home PSG recordings with two AES designs were conducted (n = 19 and 21). The technical quality of the recordings was graded based on the proportion of interpretable data. Technical failure rate for AES (both designs) was 5% and SB was scorable for 96.9% of all recorded data. Only one recording failed due to mistakes in self-applying the AES. We found that the proportion of good quality self-administrated EEG recordings is significantly higher when multiple channels are used compared to using a single channel. Sleep study success rates and proportion of recordings with high quality interpretable data from EEG channels of AES were comparable to that of conventional home PSG. Self-applicable AES has potential to become a reliable tool for widely available home PSG.

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Year:  2017        PMID: 28829322     DOI: 10.1109/JBHI.2017.2741522

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  6 in total

1.  Home Polysomnography Reveals a First-Night Effect in Patients With Low Sleep Bruxism Activity.

Authors:  Tomi Miettinen; Katja Myllymaa; Taina Hukkanen; Juha Töyräs; Kirsi Sipilä; Sami Myllymaa
Journal:  J Clin Sleep Med       Date:  2018-08-15       Impact factor: 4.062

2.  Pre-gelled Electrode Grid for Self-Applied EEG Sleep Monitoring at Home.

Authors:  Carlos F da Silva Souto; Wiebke Pätzold; Marina Paul; Stefan Debener; Karen Insa Wolf
Journal:  Front Neurosci       Date:  2022-06-24       Impact factor: 5.152

3.  Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea.

Authors:  Henri Korkalainen; Juhani Aakko; Brett Duce; Samu Kainulainen; Akseli Leino; Sami Nikkonen; Isaac O Afara; Sami Myllymaa; Juha Töyräs; Timo Leppänen
Journal:  Sleep       Date:  2020-11-12       Impact factor: 5.849

4.  Efficacy of atomoxetine plus oxybutynin in the treatment of obstructive sleep apnea with moderate pharyngeal collapsibility.

Authors:  Paula K Schweitzer; James P Maynard; Paul E Wylie; Helene A Emsellem; Scott A Sands
Journal:  Sleep Breath       Date:  2022-05-13       Impact factor: 2.655

5.  Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques.

Authors:  Monika Simjanoska; Martin Gjoreski; Matjaž Gams; Ana Madevska Bogdanova
Journal:  Sensors (Basel)       Date:  2018-04-11       Impact factor: 3.576

Review 6.  Signal acquisition and analysis of ambulatory electromyographic recordings for the assessment of sleep bruxism: A scoping review.

Authors:  Magdalini Thymi; Frank Lobbezoo; Ghizlane Aarab; Jari Ahlberg; Kazuyoshi Baba; Maria Clotilde Carra; Luigi M Gallo; Antoon De Laat; Daniele Manfredini; Gilles Lavigne; Peter Svensson
Journal:  J Oral Rehabil       Date:  2021-05-02       Impact factor: 3.558

  6 in total

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