Carole Philippe

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STUDY OBJECTIVE To compare home unattended polysomnography (H-PSG) with polysomnography performed in a local hospital and telemonitored by a sleep laboratory (T-PSG) in the diagnosis of obstructive sleep apnea syndrome (OSAS). DESIGN Randomized crossover trial. PATIENTS Ninety-nine patients with suspected OSAS who underwent H-PSG and T-PSG on 2(More)
BACKGROUND AND PURPOSE Despite correct treatment with positive airway pressure (PAP), obstructive sleep apnea (OSA) patients sometimes remain subjectively somnolent. The reliability of the Epworth Sleepiness Scale (ESS) has been established for healthy subjects and patients under stable conditions; the ESS may eventually vary among treated OSA patients,(More)
Sleep stage identification is the first step in modern sleep disorder diagnostics process. K-complex is an indicator for the sleep stage 2. However, due to the ambiguity of the translation of the medical standards into a computer-based procedure, reliability of automated K-complex detection from the EEG wave is still far from expectation. More specifically,(More)
Polysomnography (PSG) is the current standard for diagnosing sleep apnea syndrome (SAS). A reliable test would be useful to reduce the considerable resources required for PSG. We developed a new mathematical analysis, which quantifies amplitude variations of pulse oximetry (SpO2) and heart rate (HR) throughout the night, allowing measurement of the total(More)
OPTISAS is a visualization method that allows describing very precisely a patient with Sleep Apnea Syndrome. Using the events scored by the physician, our method gives a set of graphs that are a detailed representation of the condition, sleep stage and position, in which the events occur. This helps for the diagnosis. This is possible thanks to the(More)
The sleep apnea syndrome is a real public health problem. Improving its diagnosis using the polysomnography is of huge importance. Optisas was a visual method allowing translating the polysomnographic data into a meaningful image. In a previous paper, it was shown to bring extra information in 62% of cases. Here its capacity for displaying information of(More)
The Sleep Apnea Syndrome is a sleep disorder characterized by frequently repeated respiratory disorders during sleep. It needs the simultaneous recording of many physiological parameters to be diagnosed. The analysis of these curves is a time consuming task made by sleep Physicians. First, they detect some physiological events on each curve and then, they(More)
This paper presents a novel system for automatic sleep staging based on evolutionary technique and symbolic intelligence. Proposed system mimics decision making process of clinical sleep staging using Symbolic Fusion and considers personal singularity with an adaptive thresholds setting up system using Evolutionary Algorithm. It proved to be an effective(More)
Many in vivo and in vitro studies provide strong support for the concept that TNF-α released from either infiltrating or intrinsic glomerular cells may significantly contribute to glomerular injury in experimental models of toxic or immunologically mediated renal diseases. The sequence of the possible events involved in this process is depicted in Fig. 1.(More)