Screening of Ischemic Heart Disease based on PPG Signals using Machine Learning Techniques.

The increasing rate of cardiac ailments has led to the rise in the scrutinization of ones cardiac health. The prevalent techniques for detecting heart diseases are costly and require expert supervision as well as modern equipment. Thus there is a need for an alternative low cost and easily available technique.

Estimation of echocardiogram parameters with the aid of impedance cardiography and artificial neural networks.

The advent of cardiovascular diseases as a disease of mass catastrophy, in recent years is alarming. It is expected to spread as an epidemic by 2030. Present methods of determining the health of one's heart include doppler based echocardiogram, MDCT (Multi Detector Computed Tomography), among various other invasive and non-invasive hemodynamic monitoring techniques.

Stroke Volume, Ejection Fraction and Cardiac Health Monitoring using Impedance Cardiography.

In recent years occurrence of cardiac ailments have seen an exponential rise. In view of this it is highly important to monitor one's cardiac health. Currently employed methods for cardiac health monitoring are costly, require expert supervision and are available only at central hospitals.

Impact of angiographic & procedural factors on the treatment of ostial LAD or LC(x) disease.

Aims & Objectives: This study was designed to evaluate the impact of angiographic & procedural factors on MACE after DES deployment in ostial lesions of LAD & LC(x). PATIENTS, MATERIALS & METHODS: 65 patients with ostial disease of LAD or LC(x) underwent PCI using DES. In 56 patients the stent was placed perfectly at the ostium & in 9 patients the LMCA was covered as per protocol.

Importance of ischaemic time as a predictor of LV systolic function in Indians.

Objective: Sucessful reperfusion therapy in AMI improves LV systolic function. Success in thrombolytic therapy is directly related to the ischaemic time. Our aim in the present study was to observe the importance of ischaemic time as a predictor of left ventricular systolic function in patients undergoing PPCI.