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The diagnosis of Sleep Apnoea-Hypopnoea Syndrome requires the visual inspection of a recording containing a large number of physiological parameters of the patient –the polysomnogram. The purpose of this visual inspection is the identification and characterization of different types of pathological events that occur over these parameters. These events are(More)
Obstructive sleep apnea (OSA) is a serious disorder caused by intermittent airway obstruction which may have dangerous impact on daily living activities. Heart rate variability (HRV) analysis could be used for diagnosing OSA, since this disease affects HRV during sleep. In order to validate different algorithms developed for detecting OSA employing HRV(More)
OBJECTIVES Threshold alarms, the support supplied by commercial monitoring devices to supervise the signs that pathologies produce over physiological variables, generate a large amount of false positives, owing to the high number of artifacts in monitoring signals, and they are not capable of satisfactorily representing and identifying all monitoring(More)
OBJECTIVE In this paper, we propose the ASTPminer algorithm for mining collections of time-stamped sequences to discover frequent temporal patterns, as represented in the simple temporal problem (STP) formalism: a representation of temporal knowledge as a set of event types and a set of metric temporal constraints among them. To focus the mining process,(More)
This article evaluates several indexes as support tools to diagnose patients with Sleep Apnea-Hypopnea Syndrome (SAHS). Some of these indexes, such as the Apnea-Hypopnea Index, have been standardized and studied in depth in the literature. Other indexes are used extensively in the reports that commercial polysomnographs generate. However, they have not been(More)
Continuous followup of heart condition through long-term electrocardiogram monitoring is an invaluable tool for diagnosing some cardiac arrhythmias. In such context, providing tools for fast locating alterations of normal conduction patterns is mandatory and still remains an open issue. This paper presents a real-time method for adaptive clustering QRS(More)
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. The standard(More)
This paper presents a new screening test for Obstructive Sleep Apnea-Hypopnea (OSAH) Syndrome based on a PDA platform capable of recording the patient's electrocardiogram during his/her nightly rest. OSAH patients present alterations in certain bands of the heart rate variability power spectrum. The more serious the disorder afflicting the patient it is,(More)