Effectual seizure detection using MBBF-GPSO with CNN network.

EEG is the most common test for diagnosing a seizure, where it presents information about the electrical activity of the brain. Automatic Seizure detection is one of the challenging tasks due to limitations of conventional methods with regard to inefficient feature selection, increased computational complexity and time and less accuracy. The situation calls for a practical framework to achieve better performance for detecting the seizure effectively.

A versatile 4 K insert for characterization of the superconducting joints.

A multi-coil superconducting magnet is the heart of any modern Magnetic Resonance Imaging (MRI) scanner. The superconducting magnet in MRI produces a highly homogeneous field (±5 ppm) and stable field (<0.1 ppm/h) in its imaging volume.

Modified repetitive control design for two stage off board Electric Vehicle charger.

In this paper, a three-phase, two stage, bidirectional off board plug-in Electric Vehicle (PEV) charger controller has been designed and implemented in real time. The proposed PEV charger is able to work in all four quadrants in active-reactivepower plane. Generally, power electronics converters are controlled by PI regulators in d-q reference frame, where the signals to be regulated are inherently DC in nature.

Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network.

Arrhythmia classification is the need of the hour as the world is reporting a higher death troll as a cause of cardiac diseases. Most of the existing methods developed for arrhythmia classification face a hectic challenge of classification accuracy and they raised the challenge of automatic monitoring and classification methods. Accordingly, the paper proposes the automatic arrhythmia classification strategy using the optimization-based deep convolutional neural network (deep CNN).

Epilepsy in Punjab (India): A Population-Based Epidemiologic Study.

Aims: To assess the prevalence of epilepsy in a rural area adjoining a city.

Methods: A door-to-door, cross-sectional epidemiological survey was carried out covering an entire rural population of 103,693 people.

Results: Crude period and point prevalence rates for active epilepsy were 7.

Comparative study of electrocardiographic changes in patients of acute mania receiving verapamil or lithium carbonate.

Aim: TO compare the ECG changes in patients of acute mania receiving verapamil and lithium carbonate.

Objectives: Verapamil used in resistant manic patients not responding to any drug therapy, should be considered for its side effects on cardiovascular system. It causes bradycardia and myocardial infarction in risk patients.