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Journal articles on the topic 'Ventilatory Polygraphy'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Tete, Boniface Okaka, Bejamin Yaba Boono, Blaise Luhepa Muhala, et al. "Performance de l’oxymétrie nocturne dans le diagnostic du Syndrome d’apnées Hypopnées Obstructives du sommeil à Kinshasa." Annales Africaines de Medecine 16, no. 1 (2022): 4913–22. http://dx.doi.org/10.4314/aamed.v16i1.5.

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Contexte et objectif. La prise en charge d’un patient avec un syndrome d’apnées hypopnées obstructives du sommeil (SAHOS) nécessite l’enregistrement du sommeil qui reste très peu accessibilité en Afrique subsaharienne. La présente étude a évalué la performance de l’oxymétrie nocturne dans le diagnostic du SAHOS à Kinshasa. Méthodes. Dans une étude transversale et analytique, tous les patients à risque de SAHOS ont bénéficié d’une oxymétrie nocturne et d’une polygraphie ventilatoire entre juillet 2021 et mars 2022. La sensibilité (Se), la spécificité (Sp) et les valeurs prédictives positive (VP

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2

Giannoni, Alberto, Michele Emdin, Roberta Poletti, et al. "Clinical significance of chemosensitivity in chronic heart failure: influence on neurohormonal derangement, Cheyne–Stokes respiration and arrhythmias." Clinical Science 114, no. 7 (2008): 489–97. http://dx.doi.org/10.1042/cs20070292.

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Increased chemosensitivity has been observed in HF (heart failure) and, in order to clarify its pathophysiological and clinical relevance, the aim of the present study was to investigate its impact on neurohormonal balance, breathing pattern, response to exercise and arrhythmic profile. A total of 60 patients with chronic HF [age, 66±1 years; LVEF (left ventricular ejection fraction), 31±1%; values are means±S.E.M.] underwent assessment of HVR (hypoxic ventilatory response) and HCVR (hypercapnic ventilatory response), neurohormonal evaluation, cardiopulmonary test, 24-h ECG monitoring, and ass

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3

Rouatbi, Sonia, Ines Ghannouchi, Rim Kammoun, and Helmi Ben Saad. "The Ventilatory and Diffusion Dysfunctions in Obese Patients with and without Obstructive Sleep Apnea-Hypopnea Syndrome." Journal of Obesity 2020 (February 10, 2020): 1–6. http://dx.doi.org/10.1155/2020/8075482.

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Objective. To analyze the ventilatory and alveolar-capillary diffusion dysfunctions in case of obesity with or without an OSAS. Methods. It is a cross-sectional study of 48 obese adults (23 OSAS and 25 controls). Anthropometric data (height, weight, and body mass index (BMI)) were collected. All adults responded to a medical questionnaire and underwent polysomnography or sleep polygraphy for apnea-hypopnea index (AHI) and percentage of desaturation measurements. The following lung function data were collected: pulmonary flows and volumes, lung transfer factor for carbon monoxide (DLCO), and fr

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4

Carlucci, Annalisa, Maxime Patout, and João Carlos Winck. "Does one size fit all? An update on chronic ventilatory support in different respiratory illnesses." Breathe 19, no. 2 (2023): 230046. http://dx.doi.org/10.1183/20734735.0046-2023.

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Home noninvasive ventilation (HNIV) improves outcomes in different disease categories. In this article, we discuss indications for when and how to initiate HNIV in COPD, obesity hypoventilation syndrome (OHS) and neuromuscular disorders (NMD). While in COPD, significant diurnal hypercapnia and high-intensity HNIV are essential ingredients for success, in NMD and OHS, early respiratory changes are best detected during sleep through oxy-capnography associated (or not) with respiratory polygraphy. In COPD and OHS, it is crucial to consider the coexistence of obstructive sleep apnoea because treat

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5

Popovici, George-Cosmin, Costinela-Valerica Georgescu, Mihaela-Camelia Vasile, Constantin-Marinel Vlase, Anca-Adriana Arbune, and Manuela Arbune. "Obstructive Sleep Apnea after COVID-19: An Observational Study." Life 14, no. 8 (2024): 1052. http://dx.doi.org/10.3390/life14081052.

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The risk factors of hospitalized COVID-19 and obstructive sleep apnea (OSA) overlap. The aim of this study is to evaluate the prevalence and associated factors of post-COVID-19 OSA in hospitalized adult patients from southeastern Romania. A follow-up study was conducted on patients hospitalized for COVID-19 at the Pneumology Hospital in Galati, Romania, between 2021 and 2022. OSA was evaluated using the Epworth and STOP-BANG questionnaires and nocturnal polygraphy monitoring. Out of 331 patients, 257 were evaluated for sleep apnea in the 12th week. The prevalence of severe OSA was 57.97%. Sign

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6

Csipor Fodor, Alpár, Dragoș Huțanu, Corina Eugenia Budin, et al. "Central Sleep Apnea in Adults: An Interdisciplinary Approach to Diagnosis and Management—A Narrative Review." Journal of Clinical Medicine 14, no. 7 (2025): 2369. https://doi.org/10.3390/jcm14072369.

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Central sleep apnea (CSA) is a heterogeneous group of sleep-related breathing disorders characterized by intermittent absence of respiratory effort during sleep. CSA results from impaired neurological signaling from the respiratory centers to the respiratory muscles, leading to airflow cessation for at least 10 s. Major causes include heart failure, opioid use, central neurological disorders, and altitude exposure. This review outlines the pathophysiology of CSA, emphasizing ventilatory instability and brainstem dysfunction as key mechanisms. It details the classification of CSA subtypes, incl

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7

Basa, Mihail, Jelena Višekruna, Bojana Gojsina-Parezanović, Tijana Grba, Marina Anđelković, and Aleksandar Sovtić. "Congenital central hypoventilation syndrome: Heterogeneous clinical presentation, ventilatory modalities and outcome." Medicinska istrazivanja 56, no. 4 (2023): 11–17. http://dx.doi.org/10.5937/medi56-46027.

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Introduction/aim: Central congenital hypoventilation syndrome (CCHS) is a rare genetic disorder characterized by autonomic dysregulation and alveolar hypoventilation with ventilatory support being the cornerstone of long-term survival. The aim was to present different ventilatory strategies in CCHS. Material and methods: The study included retrospectively analyzed medical records of five patients diagnosed with CCHS in a national pediatric center. Alveolar hypoventilation was evidenced by noninvasive continuous transcutaneous capnometry and central sleep-disordered breathing documented by poly

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8

Briones-Claudett, Killen H., Adela Romero Lopez, Mónica H. Briones-Claudett, et al. "Apnea-Hypopnea Index in Chronic Obstructive Pulmonary Disease Exacerbation Requiring Noninvasive Mechanical Ventilation with Average Volume-Assured Pressure Support." Critical Care Research and Practice 2021 (November 27, 2021): 1–9. http://dx.doi.org/10.1155/2021/7793657.

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Introduction. This study intends to determine the Apnea-Hypopnea Index in patients hospitalized with acute hypercapnic respiratory failure from chronic obstructive pulmonary disease exacerbation, who require noninvasive ventilation with average volume-assured pressure support (AVAPS), as well as describes the clinical characteristics of these patients. Materials and Methods. We designed a single-center prospective study. The coexistence of Apnea-Hypopnea Index and clinical, gasometric, spirometric, respiratory polygraphy, and ventilatory characteristics were determined. The clinical characteri

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9

Bivolaru, Sorin, and Ancuța Constantin. "Normalisation of AHI Under Positive Pressure Therapy Does Not Necessarily Mean Control of Symptoms: A Comparison of the Effectiveness of APAP and CPAP on Daytime Sleepiness and Nocturnal Urination." Life 15, no. 6 (2025): 969. https://doi.org/10.3390/life15060969.

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In practice, many patients receive APAP treatment for the simple reason that it provides increased comfort and is easier for patients to accept and tolerate. Reality has proven that we have very many patients diagnosed with OSAS on APAP treatment, under which AHI has normalized, but patients continue to have remaining symptoms. Thus the question was born: is the persistence of remnant symptomatology under APAP related to the mode of ventilation in patients with normalized AHI? The target group was young obese men presenting to the urology service for nocturnal pollakiuria without urologic caus

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10

Ianoși, Edith Simona, Gall Zsuzsánna, Delia Rachiș, et al. "Insights into the Overlap of Chronic Obstructive Pulmonary Disease and Sleep Apnea: Experience from the Clinic of Pneumology, Târgu Mureș." Clinics and Practice 14, no. 6 (2024): 2300–2312. http://dx.doi.org/10.3390/clinpract14060180.

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Introduction: Chronic obstructive pulmonary disease (COPD) has a severe impact on patients’ health and can lead to multiple complications. Material and methods: We analyzed the co-occurrence of obstructive sleep apnea (OSA) in COPD patients hospitalized in the Pneumology Clinic of Târgu Mureș, Romania. Results: A total of 150 COPD patients were investigated by clinical examination, STOP-BANG and Epworth questionnaires, ventilatory polygraphy (PG), EKG, cardiac ultrasound, blood lipids, and sugar. Sixty-eight patients (45.3%) had OSA associated with COPD. A total of 61.7% were COPD gr. E, and 3

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11

Nguyen, Thi Thu Hoai, Van Han Pham, Quy Chau Ngo, Manh Hung Pham, Van Giap Vũ, and Thu Phuong Phan. "Clinical characteristics of obstructive sleep apnea in patients with heart failure." Tạp chí Phẫu thuật Tim mạch và Lồng ngực Việt Nam 45 (January 24, 2024): 74–81. http://dx.doi.org/10.47972/vjcts.v45i.1103.

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Aims: To investigate the clinical characteristics of obstructive sleep apnea syndrome in patients with heart failure (HF). Patients and Methods: From 9/2020 to 9/2021, patients with chronic HF (European Society of Cardiology’s criteria) and obstructive sleep apnea (American Academy of Sleep Medicine’s criteria) were enrolled into the study. Clinical examination, blood test, echocardiography, polysomnography, ventilatory polygraphy were performed in all patients. Results: 63 patients were included: 54 male (85.7%), 9 female (14.3%), age 69.57 ± 13.08, BMI 28.63 ± 4.16 kg/m2, neck si

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12

Spiesshoefer, Jens, Simon Herkenrath, Katharina Harre, et al. "Sleep-Disordered Breathing and Nocturnal Hypoxemia in Precapillary Pulmonary Hypertension: Prevalence, Pathophysiological Determinants, and Clinical Consequences." Respiration 100, no. 9 (2021): 865–76. http://dx.doi.org/10.1159/000515602.

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<b><i>Background and objective:</i></b> The clinical relevance and interrelation of sleep-disordered breathing and nocturnal hypoxemia in patients with precapillary pulmonary hypertension (PH) is not fully understood. <b><i>Methods:</i></b> Seventy-one patients with PH (age 63 ± 15 years, 41% male) and 35 matched controls were enrolled. Patients with PH underwent clinical examination with assessment of sleep quality, daytime sleepiness, 6-minute walk distance (6MWD), overnight cardiorespiratory polygraphy, lung function, hypercapnic ventilatory r

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13

Carlucci, Annalisa, and Barbara Fusar Poli. "Getting It Right in Restrictive Lung Disease." Journal of Clinical Medicine 12, no. 10 (2023): 3353. http://dx.doi.org/10.3390/jcm12103353.

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Restrictive lung disease (predominantly in patients with neuromuscular disease (NMD) and ribcage deformity) may induce chronic hypercapnic respiratory failure, which represents an absolute indication to start home NIV (HNIV). However, in the early phases of NMD, patients may present only diurnal symptoms or orthopnoea and sleep disturbances with normal diurnal gas exchange. The evaluation of respiratory function decline may predict the presence of sleep disturbances (SD) and nocturnal hypoventilation that can be respectively diagnosed with polygraphy and PCO2 transcutaneous monitoring. If noct

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14

Oillic, H., C. Du Boisbaudry, D. Sarni, R. Marianowski, and M. Giroux-Metges. "Adénoïdo-amygdalectomie et polygraphie ventilatoire ambulatoire." Annales françaises d'Oto-rhino-laryngologie et de Pathologie Cervico-faciale 129, no. 4 (2012): A36. http://dx.doi.org/10.1016/j.aforl.2012.07.094.

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15

Arnal, Jean-Michel, Mathilde Oranger, and Jésus Gonzalez-Bermejo. "Monitoring Systems in Home Ventilation." Journal of Clinical Medicine 12, no. 6 (2023): 2163. http://dx.doi.org/10.3390/jcm12062163.

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Non-invasive ventilation (NIV) is commonly used at home for patient with nocturnal hypoventilation caused by a chronic respiratory failure. Monitoring NIV is required to optimize the ventilator settings when the lung condition changes over time, and to detect common problems such as unintentional leaks, upper airway obstructions, and patient–ventilator asynchronies. This review describes the accuracy and limitations of the data recorded by the ventilator. To efficiently interpret this huge amount of data, clinician assess the daily use and regularity of NIV utilization, the unintentional leaks

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16

Larbani, B., and S. Taright. "La polygraphie ventilatoire de dépistage expérience d’une unité." Revue des Maladies Respiratoires 35 (January 2018): A258—A259. http://dx.doi.org/10.1016/j.rmr.2017.10.607.

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17

Ridgers, A., W. Ruehland, L. Hannan, D. Berlowitz, and M. Howard. "O055 NIV titration: How to Match Ventilator Settings to the Patient?" Sleep Advances 4, Supplement_1 (2023): A21. http://dx.doi.org/10.1093/sleepadvances/zpad035.055.

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Abstract Introduction Non-invasive ventilation (NIV) is a treatment that improves mortality and quality of life in chronic respiratory failure. The monitoring used to titrate NIV varies substantially; however, treatment is directed towards improving pulmonary gas exchange and sleep quality. The aim was to evaluate whether different montages of signals, influenced identification of respiratory and patient ventilator asynchrony (PVA) events and ventilation titration. Method 50 laboratory NIV polysomnography (PSG) studies were reviewed under 3 different signal conditions: NIV PSG, ventilator deri

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18

Gonzalez-Bermejo, Jesus, Jean-Paul Janssens, Claudio Rabec, et al. "Framework for patient-ventilator asynchrony during long-term non-invasive ventilation." Thorax 74, no. 7 (2019): 715–17. http://dx.doi.org/10.1136/thoraxjnl-2018-213022.

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Episodes of patient-ventilator asynchrony (PVA) occur during acute and chronic non-invasive positive pressure ventilation (NIV). In long-term NIV, description and quantification of PVA is not standardised, thus limiting assessment of its clinical impact. The present report provides a framework for a systematic analysis of polygraphic recordings of patients under NIV for the detection and classification of PVA validated by bench testing. The algorithm described uses two different time windows: rate asynchrony and intracycle asynchrony. This approach should facilitate further studies on prevalen

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19

Liotier, Jerome, Patrick Basset, Eric Veyrat, Gilles Benistand, and Mathilde Charavel. "Intérêts de la polygraphie ventilatoire dans la prise en charge anesthésique." Médecine du Sommeil 13, no. 1 (2016): 44. http://dx.doi.org/10.1016/j.msom.2016.01.131.

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20

Charavel, Mathilde, Patrick Basset, Eric Veyrat, Gilles Benistand, and Jerome Liotier. "Intérêts de la polygraphie ventilatoire dans la prise en charge anesthésique." Anesthésie & Réanimation 1 (September 2015): A391. http://dx.doi.org/10.1016/j.anrea.2015.07.598.

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21

Fassih, D. R. M. "Validation de la polygraphie ventilatoire en ambulatoire enfant versus adulte en Guadeloupe." Revue des Maladies Respiratoires 31 (January 2014): A60. http://dx.doi.org/10.1016/j.rmr.2013.10.210.

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22

Kouassi, B. A., M. O. Koffi, A. Kone, et al. "Résultats de polygraphie ventilatoire en Côte d’Ivoire : à propos de 52 enregistrements." Revue des Maladies Respiratoires 34 (January 2017): A287—A288. http://dx.doi.org/10.1016/j.rmr.2016.10.709.

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23

Abdelghani, A., G. Roisman, and P. Escourrou. "Évaluation d’un système de polygraphie ventilatoire dans le syndrome d’apnées du sommeil." Revue des Maladies Respiratoires 24, no. 3 (2007): 331–38. http://dx.doi.org/10.1016/s0761-8425(07)91065-7.

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24

Fernandez Alvarez, Ramon, Claudio Rabec, Gemma Rubinos Cuadrado, et al. "Monitoring Noninvasive Ventilation in Patients with Obesity Hypoventilation Syndrome: Comparison between Ventilator Built-in Software and Respiratory Polygraphy." Respiration 93, no. 3 (2017): 162–69. http://dx.doi.org/10.1159/000454954.

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25

Ouahchi, Yacine, Asma Saidane, Nozha Ben Salah, et al. "Les données de la polygraphie ventilatoire dans le bilan pré-anesthésique (pré-AG)." Médecine du Sommeil 20, no. 1 (2023): 31. http://dx.doi.org/10.1016/j.msom.2023.01.033.

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26

Vanbuis, Jade, Pierre Hayek, Margaux Blanchard, Nicole Meslier, and Frederic Gagnadoux. "Amélioration des performances diagnostiques de la polygraphie ventilatoire par l’ajout d’une voie d’EEG." Médecine du Sommeil 21, no. 1 (2024): 43. http://dx.doi.org/10.1016/j.msom.2023.12.114.

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27

Lavadera, Marc Lubrano, Orlane Felix, and Caroline Lardennois. "Séquence de Pierre Robin (SPR) : intérêt de la polygraphie ventilatoire en période en néonatale." Médecine du Sommeil 14, no. 1 (2017): 35. http://dx.doi.org/10.1016/j.msom.2017.01.053.

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28

El Fadili, S., N. Zaghba, H. Benjelloun, and N. Yassine. "L’apport de la polygraphie ventilatoire dans le diagnostic du syndrome d’apnées obstructives du sommeil." Revue des Maladies Respiratoires 33 (January 2016): A262. http://dx.doi.org/10.1016/j.rmr.2015.10.593.

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29

Adambounou, T. A. S., A. R. Ouedraogo, A. M. Ako, et al. "Apport de la polygraphie ventilatoire nocturne dans le diagnostic du syndrome d’apnées du sommeil." Revue des Maladies Respiratoires Actualités 12, no. 1 (2020): 263. http://dx.doi.org/10.1016/j.rmra.2019.11.594.

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30

Chhen, Inasse, Nahid Zaghba, Khadija Chaanoun, Hanane Benjelloun, and Najiba Yassine. "L’apport de la polygraphie ventilatoire dans le diagnostic du syndrome d’apnées obstructives du sommeil." Médecine du Sommeil 20, no. 1 (2023): 32. http://dx.doi.org/10.1016/j.msom.2023.01.037.

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31

Vanbuis, Jade, Guillaume Baffet, Mathieu Feuilloy, Jean-Marc Girault, Nicole Meslier, and Frédéric Gagnadoux. "Analyse automatique du sommeil par réseau de neurones à partir des signaux de polygraphie ventilatoire." Médecine du Sommeil 18, no. 1 (2021): 29–30. http://dx.doi.org/10.1016/j.msom.2020.11.036.

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32

Escourrou, P., Z. Balekji, C. Berthomier, et al. "L’ajout d’une voie EEG à la polygraphie ventilatoire améliore le calcul de l’index d’apnées-hypopnées." Médecine du Sommeil 16, no. 1 (2019): 54. http://dx.doi.org/10.1016/j.msom.2019.01.099.

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33

Escourrou, Pierre, Zouheir Balekji, Christian Berthomier, et al. "Influence de la voie EEG sur le diagnostic du SAS par polygraphie ventilatoire améliorée (PV+)." Médecine du Sommeil 17, no. 1 (2020): 41. http://dx.doi.org/10.1016/j.msom.2019.12.019.

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34

Ouahchi, Yacine, Asma Saidane, Nozha Ben Salah, et al. "Fréquence des demandes de polygraphie ventilatoire dans le cadre d’un bilan pré-anesthésique (pré-AG)." Médecine du Sommeil 20, no. 1 (2023): 30–31. http://dx.doi.org/10.1016/j.msom.2023.01.032.

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Marcovici, Tamara-Marcela, Oana Belei, Daniela Chiru, et al. "Sleep apnea: manifestation or cause of seizures in children? Case report." Romanian Journal of Pediatrics 63, no. 3 (2014): 280–84. http://dx.doi.org/10.37897/rjp.2014.3.11.

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Introduction. Sleep apnea (SA) in children is underdiagnosed. Compromising somatic development and altered quality of life are frequently present. Central sleep apnea (CSA) may be the cause of convulsive episodes in sleep or could be their result. Polysomnography is the gold-standard of SA objective assessment. Material and methods. We present a 7-year-old boy hospitalized in September 2013 for choking episodes occurred during sleep. The assessment was made by history, clinical examination, laboratory investigations (functional, imaging, biological) and interdisciplinary checkups. Results. Rep

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36

Escourrou, P., Z. Balekji, C. Berthomier, et al. "Intérêt de la polygraphie ventilatoire avec une voie EEG pour la classification de la sévérité du SAHOS." Médecine du Sommeil 15, no. 1 (2018): 13–14. http://dx.doi.org/10.1016/j.msom.2018.01.030.

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37

Akkari, Mohamed, Catherine Blanchet, and Michel Mondain. "Polygraphie ventilatoire nocturne chez l’enfant : faisabilité en pratique courante et valeur de la détection automatique des évènements respiratoires." Médecine du Sommeil 14, no. 1 (2017): 21–22. http://dx.doi.org/10.1016/j.msom.2017.01.011.

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38

Touil, Y., C. Schweitzer, S. Da Mota, et al. "Apport de l’enregistrement vidéo en polygraphie ventilatoire pour le diagnostic du syndrome d’apnée obstructive du sommeil chez l’enfant." Perfectionnement en Pédiatrie 8, no. 1 (2025): 87. https://doi.org/10.1016/j.perped.2025.01.038.

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39

Vanbuis, J., A. Sabil, G. Baffet, M. Feuilloy, N. Meslier, and F. Gagnadoux. "Utilisation d’une voie EEG couplée aux signaux de polygraphie ventilatoire pour la détection automatique de l’éveil et du sommeil." Médecine du Sommeil 15, no. 1 (2018): 17. http://dx.doi.org/10.1016/j.msom.2018.01.039.

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40

Sabil, A., J. Vanbuis, G. Baffet, M. Feuilloy, N. Meslier, and F. Gagnadoux. "Détection automatique de l’éveil et du sommeil basée sur l’association d’un signal EEG et de signaux de polygraphie ventilatoire." Revue des Maladies Respiratoires 35 (January 2018): A257. http://dx.doi.org/10.1016/j.rmr.2017.10.603.

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41

Dupuy-Bonafe, Isabelle, Cindy Francois, Virginie Lachiche, Manon Castel, and Gérard Duminil. "Troubles respiratoires obstructifs du sommeil de l’adulte : place de l’orthèse d’avancée mandibulaire." L'Orthodontie Française 90, no. 3-4 (2019): 389–99. http://dx.doi.org/10.1051/orthodfr/2019024.

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Introduction : L’orthèse d’avancée mandibulaire (OAM) constitue une alternative efficace à la ventilation par pression positive continue (VPPC) chez les patients atteints de troubles respiratoires obstructifs du sommeil (TROS). Elle consiste en un dispositif endobuccal qui maintient la mandibule et la langue en position avancée, élargissant et stabilisant les voies aérifères supérieures (VAS) pendant le sommeil. Matériels et méthodes : Un examen clinique préalable, réalisé par le chirurgien-dentiste, permet de valider sa faisabilité et de sélectionner le type d’OAM le mieux adapté pour un pati

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42

Banzet, L., J. P. Kraemer, C. Luscecu, et al. "P006 - Étude des troubles respiratoires du sommeil chez le diabétique de type 2 obèse au moyen de la polygraphie ventilatoire." Annales d'Endocrinologie 66, no. 5 (2005): 407–8. http://dx.doi.org/10.1016/s0003-4266(05)81847-5.

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43

Fassih, M., and H. Trang. "Étude de faisabilité de la polygraphie ventilatoire au domicile avec installation des capteurs par la famille chez l’enfant, comparée avec l’adulte." Médecine du Sommeil 11, no. 1 (2014): 42. http://dx.doi.org/10.1016/j.msom.2014.01.102.

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44

Franco, P., H. Bourdin, F. Braun, J. Briffod, I. Pin, and M. J. Challamel. "Diagnostic du syndrome d’apnée obstructive du sommeil chez l’enfant (2–18 ans) : place de la polysomnographie et de la polygraphie ventilatoire." Médecine du Sommeil 14, no. 2 (2017): 77–88. http://dx.doi.org/10.1016/j.msom.2017.02.004.

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45

Blanc, F., F. Merklen, C. Blanchet, M. Mondain, and M. Akkari. "Polygraphie ventilatoire chez l’enfant : faisabilité en pratique courante dans un service d’ORL et valeur de la détection automatique des évènements respiratoires." Médecine du Sommeil 16, no. 1 (2019): 50. http://dx.doi.org/10.1016/j.msom.2019.01.086.

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Franco, P., H. Bourdin, F. Braun, J. Briffod, I. Pin, and M. J. Challamel. "Diagnostic du syndrome d’apnée obstructive du sommeil chez l’enfant (2–18 ans) : place de la polysomnographie et de la polygraphie ventilatoire." Archives de Pédiatrie 24 (February 2017): S16—S27. http://dx.doi.org/10.1016/j.arcped.2016.09.050.

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Blanc, F., F. Merklen, C. Blanchet, M. Mondain, and M. Akkari. "Polygraphie ventilatoire chez l’enfant : faisabilité en pratique courante dans un service d’ORL et valeur de la détection automatique des évènements respiratoires." Annales françaises d'Oto-rhino-laryngologie et de Pathologie Cervico-faciale 136, no. 4 (2019): 231–37. http://dx.doi.org/10.1016/j.aforl.2018.07.008.

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Rebasy, L., A. H. Ranivoson, N. L. Rafitoharson, et al. "Résultats des examens de polygraphie ventilatoire réalisés chez les patients ayant présenté un trouble de sommeil après une infection à SARS-CoV-2 à Antananarivo Madagascar." Revue des Maladies Respiratoires Actualités 14, no. 1 (2022): 150. http://dx.doi.org/10.1016/j.rmra.2021.11.238.

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Pinazo, A., A. Cuvelier, L. C. Molano, A. Perel, J. F. Muir, and B. Lamia. "Pertinence du monitorage nocturne par polygraphie ventilatoire et capnométrie trans-cutanée pour le contrôle de la qualité de la ventilation non invasive des patients en soins intensifs respiratoires." Revue des Maladies Respiratoires 29 (January 2012): A54. http://dx.doi.org/10.1016/j.rmr.2011.10.118.

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Groshaeny, L., E. Gomez, M. Oranger, et al. "Comparaison de la polygraphie ventilatoire en ambulatoire et de la polysomnographie au laboratoire du sommeil pour le diagnostic du syndrome d’apnées-hypopnées obstructives du sommeil (SAHOS) avant chirurgie bariatrique." Revue des Maladies Respiratoires Actualités 14, no. 1 (2022): 149–50. http://dx.doi.org/10.1016/j.rmra.2021.11.236.

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