Detection of obstructive sleep apnea by analysis of phase angle using the forced oscillation signal

Reisch, S.; Timmer, Jens; Steltner, Holger; Rühle, K.-H.; Ficker, Joachim H.; Guttmann, J.

doi:10.1016/s0034-5687(00)00144-4

Cited by 11 publications

(3 citation statements)

References 19 publications

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“…Several authors reported on the detection of UA closure during PSG using FOT [34][35][36][37][38][39][40] . In a pilot study, Badia et al [36] demonstrated that Zrs-measurement during sleep is a clinically useful tool for non-invasive assessment of UA obstruction in patients with SAHS.…”

Section: Dynamic Detection Of Ua Obstruction During Sleepmentioning

confidence: 99%

Quantification of Pharyngeal Patency in Patients with Sleep-Disordered Breathing

Vanderveken

Oostveen

Boudewyns³

et al. 2005

ORL

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Many techniques are available for the assessment of pharyngeal characteristics in sleep-disordered breathing (SDB). However, most of the reported techniques are invasive to some extent and/or hard to perform during sleep studies. The focus of this concept paper is on the forced oscillation technique (FOT) to quantify pharyngeal patency in patients with SDB. In a pilot study, the potential of FOT for non-invasive and continuous assessment of pharyngeal patency during different types of respiratory events was studied in 8 patients with an established diagnosis of a sleep apnea-hypopnea syndrome. During polysomnography, FOT was applied using a 5-Hz pressure oscillation signal. The respiratory impedance was determined and considered as a marker for pharyngeal patency. The results demonstrate that FOT allows detection of the complete pharyngeal occlusion during obstructive sleep apnea. In addition, we found that central sleep apnea can be associated with pharyngeal closure. We also demonstrated that during the flow-limited breath preceding obstructive apnea, almost complete upper airway closure can occur during either the expiratory or the inspiratory phase. FOT is a suitable method to assess pharyngeal patency continuously and non-invasively during sleep. Furthermore, this technique has the potential to contribute substantially to our knowledge of upper airway physiology in SDB.

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Section: Dynamic Detection Of Ua Obstruction During Sleepmentioning

confidence: 99%

Quantification of Pharyngeal Patency in Patients with Sleep-Disordered Breathing

Vanderveken

Oostveen

Boudewyns³

et al. 2005

ORL

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“…Phase angle vector analysis it is claimed as a useful parameter of impending upper airway obstruction (8). In particular, an increase in inspiratory resistance, as observed during obstructive apnea (OA) and hypopnea (H), produces an asynchrony between rib cage and abdomen (9).…”

Section: Introductionmentioning

confidence: 99%

Thoracoabdominal asynchrony correlates with peripheral vascular resistance changes in a cohort of obese children.

Zaffanello

Antoniazzi

Tenero

et al. 2018

Medical Science and Discovery

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Objective: The purpose of this study was to assess the relationship between the thoracoabdominal asynchrony (phase angle), as an index of inspiratory airflow resistance, pulse transit time arousal index (PTT Ar/I), as changes in peripheral vascular resistance and intrathoracic pressure, and obstructive apnea index (OA), Oxygen Desaturation Index (ODI), snoring (% estimated Total Sleep Time-eTST) and apnea-hypopnea index (AHI) in a cohort of exogenous obese children. Material and Methods: Body mass index (BMI) and BMI z-scores were calculated according to age and sex in 36 consecutive obese children. Nasal patency, tonsil size, Friedman palate position scoring were also recorded. An overnight sleep respiratory recording was performed using an polygraphic ambulatory device. Results: Subjects studies had normal to mild sleep respiratory involvement (assessed by respiratory polysomnographic scoring). Phase angle correlated significantly with PTT Ar/I, but not with AHI (n/hr), OA (n/hr), ODI (n/hr) and snoring (% eTST), even adjusting for nasal patency, tonsil hypertrophy, palate position and BMI (z-score). Conclusion: Thoracoabdominal asynchrony (phase angle) is correlated with peripheral vascular resistance changes (PTT Ar/I), suggesting a subclinical upper respiratory airflow anomaly with autonomic activation in obese subjects.

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“…Especificamente com relação a sinais respiratórios, recentes trabalhos na literatira apresentam técnicas de monitoramento ou de diagnóstico automático de apnéia empregando diversos princípios, como análise espectral do sinal de VFC [1,2,3,4,5,6,7,8], dentre outros [9,10,11]. No presente trabalho, um exemplo de estudo de caso envolvendo sinais respiratórios de um paciente que sofre de apnéia do sono será considerado.…”

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Empregando o Neo Fuzzy Neuron para Modelagem de um Conjunto de Dados Fisiológicos e Avaliação do Monitoramento de Apnéia – Um Estudo de Caso

Souza¹,

Caminhas²,

Aguirre³

2003

L&NLM

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IntroduçãoA análise de séries temporais fisiológicas pode serútil para compreensão e diagnóstico de patologias. Especificamente com relação a sinais respiratórios, recentes trabalhos na literatira apresentam técnicas de monitoramento ou de diagnóstico automático de apnéia empregando diversos princípios, como análise espectral do sinal de VFC [1,2,3,4,5,6,7,8], dentre outros [9,10,11]. No presente trabalho, um exemplo de estudo de caso envolvendo sinais respiratórios de um paciente que sofre de apnéia do sono será considerado. Tais dados foram empregados em uma competição de predição de séries temporais promovida pelo Instituto Santa Fé [12].A apnéia do sonoé uma síndrome associada a distúrbios respiratórios ocorridos durante o sono [13,14]. A principal característica desta patologiaé a presença de paradas respiratórias, cuja conseqüência principalé a queda da saturação de oxigênio no sangue. A apnéia do sono tem sido foco de muitos estudos nosúltimos anos e, embora pareça ser um problema simples, possui causas ainda não muito claras e de difícil tratamento. O uso de modelos [15] e técnicas avançadas de processamento de sinais podem auxiliar no melhor entendimento do problema bem como ajudar na identificação do padrão respiratório do paciente, conforme evidenciam recentes trabalhos [16,17,18,19].O principal objetivo do presente trabalhoé apresentar uma modelagem de séries temporais, que empregou o neo fuzzy neuron (NFN) [20,21] como representação matemática; e apontar caminhos de comoé possível extrair informação relevante a partir desta técnica. Aênfase do artigo, portanto, está no procedimento de modelagem e no emprego do NFN para tal. Nãoé a intenção do trabalho apresentar resultados conclusivos sobre o problema fi-90

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Detection of obstructive sleep apnea by analysis of phase angle using the forced oscillation signal

Cited by 11 publications

References 19 publications

Quantification of Pharyngeal Patency in Patients with Sleep-Disordered Breathing

Quantification of Pharyngeal Patency in Patients with Sleep-Disordered Breathing

Thoracoabdominal asynchrony correlates with peripheral vascular resistance changes in a cohort of obese children.

Empregando o Neo Fuzzy Neuron para Modelagem de um Conjunto de Dados Fisiológicos e Avaliação do Monitoramento de Apnéia – Um Estudo de Caso

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