Lina María Sepúlveda-Cano

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A flexible framework that performs real-time analysis of physiological data to monitor people's health conditions is discussed in this paper. Patients suspected of suffering sleep apnea and hypopnea syndrome (SAHS) have to undergo sleep studies such as expensive polysomnography to be diagnosed. Healthcare professionals are constantly looking for ways(More)
The indirect extraction of respiratory frequency during exercise testing is very interesting and challenging. In this work we propose a method to estimate respiratory frequency during exercise testing from heart rate variability (HRV) analysis. Empirical mode decomposition is first applied to HRV signal to obtain the intrinsic mode functions (IMF). The(More)
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