Detection of artery section area using artificial immune system algorithm
CSECS'08 Proceedings of the 7th conference on Circuits, systems, electronics, control and signal processing
Unsupervised learning based feature points detection in ECG
SSIP'08 Proceedings of the 8th conference on Signal, Speech and image processing
Estimation of dynamic parameters of cardiac ventricles
MCBC'09 Proceedings of the 10th WSEAS international conference on Mathematics and computers in biology and chemistry
Genetic algorithm-based boundary extraction of plaque in intravascular ultrasound image
ICOSSSE'08 Proceedings of the 7th WSEAS international conference on System science and simulation in engineering
Determination of blood pressure and hemodynamics from oscillometric waveforms
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Determination of blood pressure and hemodynamics from oscillometric waveforms
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Carotid Artery Boundary Extraction Using Segmentation Techniques: A Comparative Study
ITNG '09 Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations
Hi-index | 0.00 |
The purpose of the article is to describe possible ways of non-invasive measuring and analysis of blood circulation parameters. These parameters are very important indicators of various cardiovascular diseases in clinical practice. For this purpose, methods of purely non-invasive analysis are sought. A standard approach is to use an inflatable cuff for blood pressure monitoring and analysis, using different methods of measuring, typically systolic, diastolic, mean and, less commonly, continuous blood pressure values. Inflatable cuff is a device decrementing a patient's comfort, namely by long-time (24 and more hours) monitoring. In this article, three principles of purely non-invasive (without inflatable cuff) measurement are described together with some experimental results. The first method described is based on a reliable detection of artery sectional area in the video sequence of B-mode ultrasound images using the Lucas-Canade optical flow determination technique. The output of this method is a cardiac cycle curve evoked by artery diameter changes. The second method for indirect representation of blood pressure parameters is based on measuring the pulse wave velocity, using the R-wave of electrocardiogram (ECG) as the reference signal and the photoplethysmographic sensor for the acquisition of the pulse wave at some distance from the heard (e.g. at forefinger). The third considered way is based on the pulse waveform analysis starting from the hypothesis that the shape of the wave depends on the value of blood pressure.