Detection of T-wave beat-by-beat variations prior to ventricular arrhythmias onset in ICD-stored intracardiac electrograms: the Endocardial T-Wave Alternans Study (ETWAS).

Background: The aim of the Endocardial T-Wave Alternans Study was to prospectively assess the presence of T-wave alternans (TWA) or beat-to-beat repolarization changes on implantable cardioverter-defibrillator (ICD)-stored electrograms (EGMs) immediately preceding the onset of spontaneous ventricular tachycardia (VT) or fibrillation (VF).

Methods: Thirty-seven VT/VF episodes were compared to 116 baseline reference EGMs from the same 57 patients. A Bayesian model was used to estimate the T-wave waveform in each cardiac beat and a set of 10 parameters was selected to segment each detected T wave.

OURSES: a telemedicine project for rural areas in france. Telemonitoring of elderly people.

Several telemedicine applications are proposed within the frame of OURSES project, French acronym for Offer of Rural Use of Services by Satellite, providing services for elderly people. The main objective of this project is to show the interest of using satellites as a complement to terrestrial technologies, in areas where telecommunication infrastructure is lacking or incomplete. This paper describes one of these applications: an ECG monitoring system.

Lost sample recovering of ECG signals in e-health applications.

This paper shows the interest of an interpolation method based on parametric modeling to retrieve missing samples in ECG signals. This problem occurs more and more with the emergence of telemedicine applications. The different links (fixed access network (PSTN), mobile access network (GSM/GPRS and future UMTS) or satellite interfacing (DVB-RCS technology)) involved in e-health applications are liable to induce errors on the transmitted data.

End-to-end signal processing from the embedded body sensor to the medical end user through QoS-less public communication channels: the U-R-SAFE experience.

The URSafe project (IST-2001-33352) aims at creating a telemedicine care environment for the elderly and convalescent. The idea is to provide a portable device which monitors autonomously different biomedical signals and is able to send an alarm to a medical center if an abnormality is detected. In the initial version of URSafe, three sensors where included in the platform: electrocardiogram (ECG), oxygen rate (SpO2) and Fall Detector.