The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Polysomnography
Abstract
Polysomnography refers to a systematic process used to collect physiologic parameters during sleep. A polysomnogram (PSG) is a procedure that utilizes electroencephalogram, electro-oculogram, electromyogram, electrocardiogram, and pulse oximetry, as well as airflow and respiratory effort, to evaluate for underlying causes of sleep disturbances. PSG is considered to be the gold standard for diagnosing sleep-related breathing disorders, which include obstructive sleep apnea (OSA), central sleep apnea, and sleep-related hypoventilation/hypoxia. PSG can also be utilized to evaluate for other sleep disorders, including nocturnal seizures, narcolepsy, periodic limb movement disorder, and rapid eye movement sleep behavior disorder. With recent technological developments, home sleep apnea testing can be done to confirm a diagnosis in patients with a high risk for moderate to severe OSA in the absence of comorbid medical conditions or other suspected sleep disorders.
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“Current home sleep apnea tests (HSATs) are bulky, uncomfortable, and failure rates ranging from 2% to 33% [12–17].”
From Pregnancy outcomes in infertility patients diagnosed with sleep disordered breathing with wireless wearable sensors (2022) · cites this paper as [15]
Citations
Cites
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Cited by
Sorted by citations
Simultaneous EEG-fMRI: What Have We Learned and What Does the Future Hold?
Warbrick, T. (2022) · Sensors · doi:10.3390/s22062262 · Cited by 182
Parkinson’s Disease Management via Wearable Sensors: A Systematic Review
Mughal, H., Javed, A. R., Rizwan, M., Almadhor, A. S., & Kryvinska, N. (2022) · IEEE Access · doi:10.1109/access.2022.3162844 · Cited by 130
Banluesombatkul, N., Ouppaphan, P., Leelaarporn, P., Lakhan, P., Chaitusaney, B., Jaimchariyatam, N., Chuangsuwanich, E., Chen, W., Phan, H., Dilokthanakul, N., et al. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.3037693 · Cited by 116
Evaluating reliability in wearable devices for sleep staging
Birrer, V., Elgendi, M., Lambercy, O., & Menon, C. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01016-9 · Cited by 129
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB
Piriyajitakonkij, M., Warin, P., Lakhan, P., Leelaarporn, P., Kumchaiseemak, N., Suwajanakorn, S., Pianpanit, T., Niparnan, N., Mukhopadhyay, S. C., & Wilaiprasitporn, T. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.3025900 · Cited by 87
Metadata
- Authors
- Rundo, J. V., & Downey, R.
- Affiliations
- Cleveland Clinic (US)
- Corresponding author
- Jessica Vensel Rundo
- Venue
- Handbook of clinical neurology
- Publisher
- Elsevier
- Published
- 2019
- Volume
- 160
- Pages
- 381-392
- ISSN
- 0072-9752 (ISSN-L)
- OpenAlex
- W4231438709
- Cited by
- 555
- References
- 42
- Citations by year
- 2026: 73 · 2025: 135 · 2024: 130 · 2023: 106 · 2022: 61 · 2021: 35 · 2020: 15
- FWCI
- 85.09
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Handbook of clinical neurology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Keywords
- polysomnography, sleep disorders, obstructive sleep apnea, central sleep apnea, nocturnal hypoventilation, home sleep apnea testing, EEG, electrooculogram, electromyography, pulse oximetry, nocturnal seizures, narcolepsy, periodic limb movement disorder, REM sleep behavior disorder
- MeSH terms
- Electroencephalography, Electromyography, Humans, Sleep, Sleep Wake Disorders, Polysomnography
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