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An algorithm to evaluate the sleep macrostructure based on heart rate fluctuations from ECG signal is presented. This algorithm is an attempt to evaluate the sleep quality out of sleep centers. The algorithm is made up by a) a time-variant autoregressive model used as feature extractor and b) a hidden Markov model used as classifier. Characteristics coming from the joint probability of HRV features...
In this paper, we present a home device for the continuous monitoring of sleep and investigate its reliability regarding sleep evaluation. The system has been particularly designed for healthy people and for preventive purposes. It is not obtrusive and therefore can be used every night without impeding sleep in itself and without interfering with the normal way of life. The signal used for sleep evaluation...
The goal of this work was to apply a time-varying spectral approach to study the dynamic changes in heart rate variability (HRV) produced by the arousal from sleep in obese patients with and without obstructive sleep apnea (OSA). We studied 10 subjects, group I without OSA and group II with OSA diagnostic. RR intervals series was obtained from ECG records. HRV spectral indexes (HF & LF component)...
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