622 research outputs found
Statistical and Nonlinear Analysis of Oximetry from Respiratory Polygraphy to Assist in the Diagnosis of Sleep Apnea in Children
Producción CientíficaObstructive Sleep Apnea-Hypopnea Syndrome
(OSAHS) is a sleep related breathing disorder that has
important consequences in the health and development of
infants and young children. To enhance the early detection of
OSAHS, we propose a methodology based on automated
analysis of nocturnal blood oxygen saturation (SpO2) from
respiratory polygraphy (RP) at home. A database composed of
50 SpO2 recordings was analyzed. Three signal processing
stages were carried out: (i) feature extraction, where statistical
features and nonlinear measures were computed and combined
with conventional oximetric indexes, (ii) feature selection using
genetic algorithms (GAs), and (iii) feature classification through
logistic regression (LR). Leave-one-out cross-validation (loo-cv)
was applied to assess diagnostic performance. The proposed
method reached 80.8% sensitivity, 79.2% specificity, 80.0%
accuracy and 0.93 area under the ROC curve (AROC), which
improved the performance of single conventional indexes. Our
results suggest that automated analysis of SpO2 recordings from
at-home RP provides essential and complementary information
to assist in OSAHS diagnosis in children.Ministerio de Economía y Competitividad (TEC2011-22987)Fundación General CSIC (Proyecto Cero 2011 sobre Envejecimiento)Obra social de la Caixa y CSICJunta de Castilla y León (VA059U13
Positive airway pressure and electrical stimulation methods for obstructive sleep apnea treatment: a patent review (2005-2014)
Producción CientíficaIntroduction. Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a major health problem with significant negative effects on the health and quality of life. Continuous positive airway pressure (CPAP) is currently the primary treatment option and it is considered the most effective therapy for OSAHS. Nevertheless, comfort issues due to improper fit to patient’s changing needs and breathing gas leakage limit the patient’s adherence to treatment.
Areas covered. The present patent review describes recent innovations in the treatment of OSAHS related to optimization of the positive pressure delivered to the patient, methods and systems for continuous self-adjusting pressure during inspiration and expiration phases, and techniques for electrical stimulation of nerves and muscles responsible for the airway patency.
Expert opinion. In the last years, CPAP-related inventions have mainly focused on obtaining an optimal self-adjusting pressure according to patient’s needs. Despite intensive research carried out, treatment compliance is still a major issue. Hypoglossal electrical nerve stimulation could be an effective secondary treatment option when CPAP primary therapy fails. Several patents have been granted focused on selective stimulation techniques and parameter optimization of the stimulating pulse waveform. Nevertheless, there remain important issues to address, like effectiveness and adverse events due to improper stimulation.Ministerio de Economía y Competitividad (TEC2011-22987)Junta de Castilla y León (VA059U13
Automated Analysis of Nocturnal Oximetry as Screening Tool for Childhood Obstructive Sleep Apnea-Hypopnea Syndrome
Producción CientíficaChildhood obstructive sleep apnea-hypopnea
syndrome (OSAHS) is a highly prevalent condition that
negatively affects health, performance and quality of life of
infants and young children. Early detection and treatment
improves neuropsychological and cognitive deficits linked with
the disease. The aim of this study was to assess the performance
of automated analysis of blood oxygen saturation (SpO2)
recordings as a screening tool for OSAHS. As an initial step,
statistical, spectral and nonlinear features were estimated to
compose an initial feature set. Then, fast correlation-based
filter (FCBF) was applied to search for the optimum subset.
Finally, the discrimination power (OSAHS negative vs. OSAHS
positive) of three pattern recognition algorithms was assessed:
linear discriminant analysis (LDA), quadratic discriminant
analysis (QDA) and logistic regression (LR). Three clinical cutoff
points commonly used in the literature for positive diagnosis
of the disease were applied: apnea-hypopnea index (AHI) of 1,
3 and 5 events per hour (e/h). Our methodology reached 88.6%
accuracy (71.4% sensitivity and 100.0% specificity, 100.0%
positive predictive value, and 84.0% negative predictive value)
in an independent test set using QDA for a clinical cut-off point
of 5 e/h. These results suggest that SpO2 nocturnal recordings
may be used to develop a reliable and efficient screening tool
for childhood OSAHSJunta de Castilla y León (project VA059U13
Pervasive Detection of Sleep Apnea using Medical Wireless Sensor Networks
Abstract-The sleep apnea is a sleep disorder characterized by cessation of respiratory flow (apnea) or a reduction in the flow (hypopnea). This disorder is often invalidating and may in some cases lead to death. During the night, symptoms can include nocturnal choking, heavy snoring, sweating, restless sleep, impotence, and witnessed apnea. As the sleep centers for apnea detection are usually overloaded and inaccessible, an automatic apnea detection algorithm for portable devices is required for inhome detection. In this paper, we propose a lightweight approach for pervasive detection of sleep apnea using Wireless Sensor Networks. The experimental results show that our proposed approach achieves good detection accuracy with low delay and low false alarm rate
Classification techniques on computerized systems to predict and/or to detect Apnea: A systematic review
Sleep apnea syndrome (SAS), which can significantly decrease the quality of life is associated with a major risk factor of health implications such as increased cardiovascular disease, sudden death, depression, irritability, hypertension, and learning difficulties. Thus, it is relevant and timely to present a systematic review describing significant applications in the framework of computational intelligence-based SAS, including its performance, beneficial and challenging effects, and modeling for the decision-making on multiple scenarios.info:eu-repo/semantics/publishedVersio
Technology Development Standardization and Evaluation in Pulmonary Medicine
book chapterBiomedical Informatic
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