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]
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“This measurement is determined by polysomnography where the patient undergoes a sleep study to record parameters including brain waves, heart rate, breathing, movement in the eyes and legs, and blood oxygen levels (9).”
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“During the procedure, the number of apneas and hypopneas is calculated generating the Apnea – Hypopnea Index (AHI), which is used to diagnose and assess the severity of OSA (severe, moderate, or mild) (4).”
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“Polysomnography is the gold standard for recording sleep and related parameters of sleep objectively [22].”
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“A polysomnography test [53] should be conducted to investigate the paradoxical improvement in sleep, which has not been explained in previous studies.”
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A bibliometric analysis of the application of imaging in sleep in neurodegenerative disease
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Ertürk, N., Celik, A., & Kutukcu, E. C. (2023) · Heart & Lung · doi:10.1016/j.hrtlng.2023.03.009 · Cited by 7
Assessment of Nocturnal Blood Pressure: Importance of Determining the Time in Bed—A Pilot Study
Pilz, N., Heinz, V., Parati, G., Haberl, R., Hofmann, E., Küchler, G., Patzak, A. R., & Bothe, T. L. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13082170 · Cited by 10
Domingues, D. M., Rocha, P. R., Miachon, A. C. M. V., Giampá, S. Q. D. C., Soares, F., Genta, P. R., & Lorenzi‐Filho, G. (2024) · Scientific Reports · doi:10.1038/s41598-024-75935-8 · Cited by 6
Circadian Biology in Obstructive Sleep Apnea-Associated Cardiovascular Disease
Gaspar, L. S., Pyakurel, S., Xu, N., D’Souza, S. P., & Koritala, B. S. C. (2025) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2025.03.008 · Cited by 5
Dreem headband performance in Insomnia Disorder: An in-lab comparison to polysomnography
Beau, Q. A. L., Boardman, J. M., Mellor, A., Ogeil, R. P., & Drummond, S. P. A. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.106698 · Cited by 7
Way, J. A. H., Mathieu, E., Chau, J. Y., Cistulli, P. A., & Bin, Y. S. (2025) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2025.102196 · Cited by 6
An automated method for sleep apnoea detection using HRV
Moridani, M. K. (2022) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2022.2026504 · Cited by 6
Impact of obstructive sleep apnea syndrome on olfactory and gustatory capacity
Trecca, E. M. C., Marano, P. G., Madaro, F., Fortunato, F., Frisotti, D. R., Caponio, V. C. A., Vocale, M., & Cassano, M. (2024) · Chemical Senses · doi:10.1093/chemse/bjae022 · Cited by 6
Smartphone-based and non-invasive sleep stage identification system with piezo-capacitive sensors
Pérez-Ávila, A. J., Herrera, N. R., Martínez-Olmos, A., Carvajal, M. A., Capitán-Vallvey, L. F., López-Ruiz, N., & Palma, A. J. (2024) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2024.115659 · Cited by 6
“This implies the application of electrodes and wires distributed across the subject ’ s body throughout the night, which could lead to some limitations related to time, discomfort and high associated costs [10].”
Mostafaei, S. H., Tanha, J., & Sharafkhaneh, A. (2025) · Applied Intelligence · doi:10.1007/s10489-025-06484-4 · Cited by 6
Tommasi, F. D., D’Antoni, F., Presti, D. L., Silvestri, S., Fortino, G., Schena, E., Merone, M., & Massaroni, C. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3559724 · Cited by 6
Drowsiness Detection Using Multivariate Statistical Process Control
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Tashakori, M., Rusanen, M., Karhu, T., Grote, L., Nath, R. K., Leppänen, T., & Nikkonen, S. (2024) · Sleep Medicine · doi:10.1016/j.sleep.2024.03.024 · Cited by 6
Ma, J., Ma, N., Zhang, L., Xu, L., Liu, X., & Meng, G. (2024) · BMC Neurology · doi:10.1186/s12883-024-03727-8 · Cited by 6
Validation of Self-Quantification Xiaomi Band in a Clinical Sleep Unit
Martínez-Martínez, F. J., Concheiro-Moscoso, P., Miranda-Duro, M. D. C., Boedo, F. D., Mejuto-Muiño, F. J., & Groba, B. (2020) · XoveTIC Conference (XoveTIC) · doi:10.3390/proceedings2020054029 · Cited by 6
Zhang, Q., Wang, X., Cheng, X., Wu, X., Feng, Y., Xu, H., Zhu, H., Yi, H., Zhang, W., Li, X., et al. (2021) · Sleep And Breathing · doi:10.1007/s11325-021-02356-6 · Cited by 6
Brown, R. D., Bondy, E., Prim, J., Dichter, G. S., & Schiller, C. E. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1448914 · Cited by 7
Caddick, L., Gaggioni, G., Haughton, D., Brown, J. E., Inchley, J., Simpson, S. A., Lyall, L. M., Murray, A. L., Romaniuk, L., Krondorf, L., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0313286 · Cited by 5
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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