PubMed HealthSearch

Biomedical subjects

G Tselikis

Publications and source records attributed to G Tselikis.

2 recordsLinked to original sources

A novel tele-medical environment appropriate for use in tele-advisory and tele-surgery cases.

Tele-medical systems have been recently introduced in the field of networking as promising applications that can significantly improve the offering of medical treatment by providing services such as tele-advising, tele-surgery and remote monitoring in places where the presence of doctors or any medical specialists is difficult or time consuming. Some already existent networking models can be used for the establishment of a connection between the communicating sides. The offered network's security is also a significant factor. The present paper describes a software environment implementing a particular aspect of a tele-medical system. The developed system includes features such as direct communication between doctors and medical assistants, medical information acquisition and storing and high band information transfer in real-time. TCP/IP point-to-point protocol has been used for the implementation of the non bandwidth-critical connections. The application introduces novel features with the use of ATM connection for supporting the time-critical service of video transfer to and from the medical database.

Computer Communication Networks

A generic environment for linear and nonlinear ECG processing.

Every aspect of cardiac function such as contractibility, depolarization and repolarization of cardiac cells, firing rate of pacemaker cells, is under a complex neurohumoral regulation. Especially the autonomic neuron system through the interplay of its two opposing components, sympathetic and parasympathetic (vagal), is controlling cardiac function on a beat to beat basis. Moreover, the interaction of sympathetic and parasympathetic systems is a non-linear function, with sympathetic tone modulating the response of vagal activation. It has been shown that the power of frequency components and especially the ratio of low to high frequency power spectra of heart rate variability are reliable indicators of sympathovagal balance (A. Malliani et al. 1991. Cardiovascular Neural regulation explored in the frequency domain. Circulation, 84 (2) 482-484. The most known algorithms of linear and non-linear signal processing have been applied to the ECG data recorded from healthy and high risk individuals. These methods together with the study and analysis of QRS frequency spectrum will lead to very useful conclusions with diagnostic and prognostic information. In this paper we will briefly describe the mathematical aspect of these algorithms presenting their results for normal and pathological ECG signals.

Adult