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Fall detection is very important for the health care especially for elderly people. The automatic discovery of falls in real time with the ability to differentiate them from normal daily activities is crucial. To achieve this aim, this paper proposes an approach based on getting data through a tag placed on the subject's chest, a windowing of the data, the automatic extraction through the DEREx tool...
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...
Real-time tele-monitoring technology is very useful for remotely monitoring patients' vital parameters and for ensuring mobility of both patient and doctor. In this paper a multi-purpose and multi-parametric tele-monitoring system is described. This system is based on the offline automatic extraction of knowledge from databases expressed as a set of IF…THEN rules that are used by a rule-based mobile...
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...
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