Certain investigation on hybrid neural network method for classification of ECG signal with the suitable a FIR filter.

The Electrocardiogram (ECG) records are crucial for predicting heart diseases and evaluating patient's health conditions. ECG signals provide essential peak values that reflect reliable health information. Analyzing ECG signals is a fundamental technique for computerized prediction with advancements in Very Large-Scale Integration (VLSI) technology and significantly impacts in biomedical signal processing.

Comparative Evaluation of C-Reactive Protein Levels among Peri-Implant Health and Disease Conditions.

Peri-implant disease pathogenesis results in production of pro-inflammatory mediators, among which C-reactive protein (CRP) is one of the acute phase reactants. The aim of the study was to comparative CRP levels among peri-implant health and disease conditions. The present study was carried out in the Department of Implantology, Saveetha Dental College and Hospitals, Chennai, India.

Randomized double-blind trial comparing effects of low-flow vs high-flow anesthesia on postoperative lung functions using respirometer.

Background And Aims: Modern anesthetic practice utilizes low-flow anesthesia with evolving evidence on its pulmonary effects. Studies comparing measurement of vital capacity and inspiratory reserve volume using respirometer in both low-flow and high-flow anesthesia are sparse. We evaluated the effects of low-flow and high-flow anesthesia on postoperative pulmonary functions using respirometer.