Narula Institute of Technology

About: Narula Institute of Technology is a based out in . It is known for research contribution in the topics: Quantum dot cellular automaton & Cognitive radio. The organization has 288 authors who have published 490 publications receiving 2258 citations. The organization is also known as: NiT.

Recurrence Quantification Analysis of Electrocardiogram Signals to Recognize the Effect of a Motivational Song on the Cardiac Electrophysiology

Abstract: Listening to music has been reported to provide health benefits. This has inspired the researchers to recognize the effect of music on various organs like the heart. In the past few decades, analysis of the electrocardiogram (ECG) signals has been widely used to divulge information about the cardiac activity not only for the diagnosis of the cardiovascular diseases but also during the exposure to a stimulus like music. This study attempts to identify the occurrence of any change in the cardiac activity due to the exposure to a motivational song. The ECG signals were acquired before and after exposing 18 volunteers to the motivational song. The recurrence plot analysis and recurrence quantification analysis (RQA) of the ECG signals were performed. The statistical analysis of the RQA features suggested a variation in the cardiac activity, which was further evinced by the classification of the RQA features using the artificial neural network (ANN) with an accuracy of >85%.

Four-Directional Detection-Based Gaussian Noise Removal

Abstract: Detection of gaussian noise is an exigent task, especially at high noise density levels. This paper proposes a four-directional noise detection scheme towards the noise removal process. A calculated threshold value is undertaken in the detection scheme. Moreover, a four-stage segmentation scheme is applied to check the noise contamination level of the pixel using the calculated threshold value. A binary flag image is generated after identifying the noise contamination and ultimately sequentially combined mean–median filter (SCMMF) is used for the removal purpose. Results of the computer simulations demonstrate the effectiveness of the proposed methods even at high noise density levels.

Study the Effect of Parameters Used in Stochastic Resonance to Enhance an Image

Abstract: Enhancement is one of the challenging factors in image processing. The objective of enhancement is to improve the structural appearance of an image without any degradation in the input image. The enhancement techniques make the identification of key features easier by removing noise. One of the methods to enhance an image is the stochastic resonance (SR). In SR, noise is added randomly to the image to get back the information of the processed image which has been distorted. But the parameter choice of SR is too difficult to realize. In our paper we study the effect of those parameters over an image.

Development of a wireless intravenous drip rate monitoring device

Abstract: Biotelemetry increases the efficiency of the healthcare professionals. This study proposes the development of a wireless-communication-enabled low-cost, automated drip rate monitoring system, used for intravenous (IV) therapy. The proposed system monitors the falling fluid drops inside the drip chamber, and subsequently calculates and displays the drip rate on a liquid crystal display (LCD) panel. It is capable of wirelessly notifying the central monitoring station when the drip rate is outside the set range. The system was designed using a light emitting diode (LED), a light-dependent resistor (LDR), a microcontroller and an Xbee wireless module. The proposed device is simple, user-friendly and can reduce the workload of the healthcare givers by reducing their regular visit to the patient site.