Results 311 to 320 of about 67,554 (364)

Apnea–hypopnea index in nonobese women with polycystic ovary syndrome

International Journal of Gynecology & Obstetrics, 2009
AbstractObjectiveTo assess the influence of polycystic ovary syndrome (PCOS) on respiratory events during sleep in nonobese Taiwanese women.MethodOvernight polysomnography was recorded in 18 nonobese women with PCOS who had not received treatment (body mass index [BMI] 21.7 ± 0.57, age 29.1 ± 1.43 years) and in 10 age‐ and BMI‐matched women without ...
Hsiao-Ping, Yang, Jiunn-Horng, Kang, Hsiu-Yueh, Su, Chii-Ruey, Tzeng, Wei-Min, Liu, Shih-Yi, Huang   +5 more
openaire   +2 more sources

Evaluation of an alternative definition for the apnea-hypopnea index

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010
The apnea-hypopnea index (AHI) plays a major role in determining whether a patient suffers from SAHS, as well as in evaluating the severity of his/her condition. To obtain this index the number of apneas and hypopneas that the patient has experienced during his/her sleep is calculated, and the result is divided by the number of hours of sleep.
Abraham, Otero, Paulo, Felix, Jesus, Presedo, Carlos, Zamarron   +3 more
openaire   +2 more sources

Apnea-hypopnea index estimation from spectral analysis of airflow recordings

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
This study focuses on the analysis of airflow (AF) recordings to help in sleep apnea-hypopnea syndrome (SAHS) diagnosis. The objective is to estimate the apnea-hypopnea index (AHI) by means of spectral features from AF data. Multiple linear regression (MLR) was used for this purpose.
Gonzalo C, Gutierrez-Tobal, Roberto, Hornero, Daniel, Alvarez, J Victor, Marcos, Carlos, Gomez, Félix, Del Campo   +5 more
openaire   +2 more sources

Non-contact Apnea-Hypopnea Index Estimation using Near Infrared Video

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Sleep apnea is a highly prevalent and underdiagnosed sleep disorder characterized by repeated intermittent interruptions to breathing. Sleep apnea severity is measured with the apnea-hypopnea index (AHI), defined as the number of apnea or hypopnea events per hour of sleep.
Kaiyin, Zhu, Azadeh, Yadollahi, Babak, Taati   +2 more
openaire   +2 more sources

Esophageal pressure and apnea hypopnea index in sleep‐disordered breathing

Psychiatry and Clinical Neurosciences, 2000
AbstractSeverity of negative esophageal pressure (Pes) and apnea hypopnea index (AHI) were investigated in six cases of upper airway resistance syndrome (UARS) and 11 cases of obstructive sleep apnea syndrome (OSAS). The severity of negative Pes was represented by the highest peak (Pes Max) and the number of increased episodes (more than 13.5 cmH2O ...
T, Watanabe, A, Mikami, Y, Shigedo, M, Motonishi, H, Honda, K, Kyotani, S, Uruha, K, Terashima, Y, Teshima, Y, Sugita, M, Takeda   +10 more
openaire   +2 more sources

Prediction of the Apnea-Hypopnea Index From Overnight Pulse Oximetry *

Chest, 2003
s: To compare the relative usefulness of the different indexes derived from pulse oximetry in the diagnosis of obstructive sleep apnea (OSA), and to determine if a combination of these indexes improves the prediction of the apnea-hypopnea index (AHI) measured by polysomnography.Prediction model developed from 224 patients, validated prospectively in ...
Ulysses J, Magalang, Jacek, Dmochowski, Sateesh, Veeramachaneni, Azmi, Draw, M Jeffery, Mador, Ali, El-Solh, Brydon J B, Grant   +6 more
openaire   +2 more sources

Outcome measurements in obstructive sleep apnea: Beyond the apnea‐hypopnea index

The Laryngoscope, 2014
Objectives/HypothesisThe apnea‐hypopnea index (AHI) is overwhelmingly used as the main therapeutic metric in the assessment of obstructive sleep apnea (OSA) in surgical studies. However, using AHI as the sole measure is problematic. This study investigates the utility of other outcome measures for patients with OSA undergoing surgery.Study ...
S. Tam, B. Woodson, B. Rotenberg
semanticscholar   +3 more sources

Apnea–hypopnea index estimation using quantitative analysis of sleep macrostructure

Physiological Measurement, 2016
Obstructive sleep apnea, characterized by recurrent cessation or substantial reduction in breathing during sleep, is a prevalent and serious medical condition. Although a significant relationship between obstructive sleep apnea and sleep macrostructure has been revealed in several studies, useful applications of this relationship have been limited. The
Da Woon, Jung, Su Hwan, Hwang, Yu Jin, Lee, Do-Un, Jeong, Kwang Suk, Park   +4 more
openaire   +2 more sources

Apnea–hypopnea duration may be a better choice rather than apnea–hypopnea index for forecasting complications in OSAS

CRANIO®
Mean apnea-hypopnea duration (AHD) is the mean duration of apnea-hypopneas experienced during sleep and was found as an indicator of blood oxygenation. The aim of this study was to compare and define the differences in clinical, demographic and polysomnographic characteristics of obstructive sleep apnea (OSA) patients in long and short AHD groups and ...
Hadice Selimoğlu Şen, Süreyya Çetin Yilmaz, Veysi Tekin, Süheyla Kaya, Tarık Kılıç, Şehmus Işık   +5 more
openaire   +2 more sources

Automated Prediction of the Apnea-Hypopnea Index from Nocturnal Oximetry Recordings

IEEE Transactions on Biomedical Engineering, 2012
Nocturnal polysomnography (PSG) is the gold-standard for sleep apnea-hypopnea syndrome (SAHS) diagnosis. It provides the value of the apnea-hypopnea index (AHI), which is used to evaluate SAHS severity. However, PSG is costly, complex, and time-consuming.
J. Victor Marcos, R. Hornero, D. Álvarez, M. Aboy, F. Campo   +4 more
semanticscholar   +3 more sources