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Obstructive Sleep Apnea (OSA) is a breathing disorder that takes place during sleep, and has both short -- as well as long -- term consequences on patient's health. Real -- time monitoring for a patient can be carried out by making use of ElectroCardioGraphy (ECG) recordings. This paper introduces a methodology to forecast OSA events in the minutes following the current time instant. This is accomplished...
Detection and real time monitoring of obstructive sleep apnea (OSA) episodes are very important tasks in healthcare. To suitably face them, this paper proposes an easy-to-use, cheap mobile-based approach relying on three steps. First, single-channel ECG data from a patient are collected by a wearable sensor and are recorded on a mobile device. Second, the automatic extraction of knowledge about that...
Performing detection and real-time monitoring of Obstructive Sleep Apnea (OSA) is a significant healthcare task. An easy, cheap, and mobile approach to monitor patients with OSA is proposed here. It gathers data from a patient by a single-channel ECG, and offline automatically extracts knowledge about that patient as a set of IF…THEN rules containing Heart Rate Variability (HRV) parameters. These...
Real-time Obstructive Sleep Apnea (OSA) detection and monitoring are important for the society in terms of improvement in citizens' health conditions and of reduction in mortality and healthcare costs. This paper proposes an easy, cheap, and portable approach for monitoring patients with OSA. It is based on singlechannel ECG data, and on the automatic offline extraction, from a database containing...
The use of medical devices and wearable sensor-based systems to monitor patients' health conditions are continuously increasing both internally to hospitals and at home. In this paper we propose a system that is intended to monitor patients' physiological parameters to detect abnormal cardiac accelerations and patient falls in real-time. The core of this paper is the realization of a user-friendly...
Ambient Intelligence technologies are going to be used more and more frequently to realize Ambient Assisted Living applications to support elderly and ill people at their home. This paper presents a software infrastructure that enables the rapid prototyping of smart applications for monitoring patients in environments like homes or hospitals. The paper also describes an application built upon such...
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