Pradyut Kumar Biswal

Pradyut Kumar Biswal
International Institute of Information Technology, Bhubaneswar | IIIT Bhubaneswar · Department of Electronics and Communication

Ph.D.

About

74
Publications
9,631
Reads
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296
Citations
Introduction
Pradyut Kumar Biswal currently works at the Department of Electronics and Communication, International Institute of Information Technology, Bhubaneswar. Pradyut does research in Electronic Engineering specifically in the area of Biomedical signal and image processing, Architecture for signal processing algorithms and Hyperspectral image processing.
Skills and Expertise
Additional affiliations
August 2011 - September 2016
International Institute of Information Technology, Bhubaneswar
Position
  • Professor (Assistant)
July 2007 - June 2011
Indian Institute of Technology Kharagpur
Position
  • Researcher

Publications

Publications (74)
Article
Full-text available
Diabetic Retinopathy (DR) is a diabetic mellitus complication that causes vision impairment and may lead to permanent blindness. The early signs of DR that appear on the retinal surface are microaneurysms, hemorrhages, hard exudates, and soft exudates. Hence the automatic detection of these retinal lesions assists in the early diagnosis of DR. This...
Article
Epilepsy, an incurable brain disorder portrayed by seizures, is the most common neurological disease worldwide. The embryonic detection of epileptic action helps the psychologist for the diagnosis of epileptic seizure and reduces the seizure effect on the patient’s life. Empirical wavelet transform (EWT), and a novel multi-fuse reduced deep convolu...
Article
Full-text available
In the processing of remotely sensed data, classification may be preceded by feature extraction, which helps in making the most informative parts of the data emerge. Effective feature extraction may boost the efficiency and accuracy of the following classification, and hence various methods have been proposed to perform it. Recently, Singular Spect...
Article
In the remote sensing community, HyperSpectral (HS) images (HSI) are becoming increasingly popular as the advancement of technology and the consequent reduction of cost make them financially more accessible. The reason for their success is the higher capability they can offer, with respect to multispectral data, to discriminate classes that are spe...
Conference Paper
The objective of this paper is to develop an efficient noise detector and filter for random valued impulse noise (RVIN) in gray level images. A Dual Histogram based Noise Detector (DHND) is proposed and compared with other approaches using the classical measures like False Alarm (FA) and Miss Detection (MD). Also a novel filtering approach is propo...
Article
Ventricular arrhythmias such as ventricular tachycardia (VT) and ventricular fibrillation (VF) are the main life-threatening arrhythmias which have to be detected accurately by designing automated system. In this work, we propose a novel method based on ensemble empirical mode decomposition to decompose the ECG signal and classified with decision t...
Article
Full-text available
Recent developments in hyperspectral sensors have made it possible to acquire HyperSpectral Images (HSI) with higher spectral and spatial resolution. Hence, it is now possible to extract detailed information about relatively smaller structures. Despite these advantages, HSI suffers from many challenges also, like higher spatial variability of spect...
Article
In this paper, the extracted features using variational mode decomposition (VMD) and approximate entropy (ApEn) privileged information of the input EEG signals are combined with multilayer multikernel random vector functional link network plus (MMRVFLN+) classifier to recognize the epileptic seizure epochs efficaciously. In our experiment Bonn Univ...
Article
Diabetic Retinopathy is a severe visual disorder in the retina, which causes permanent blindness due to prolonged hyperglycemia. This paper primarily focuses on the classification of Neovascularization into Neovascularization on Disc (NVD) and Neovascularization Elsewhere (NVE). Neovascularization is an alarming phase of Proliferative Diabetic Reti...
Article
Full-text available
Abstract In this article, an exclusive‐disjunction‐based detection of neovascularisation (NV), which is the formation of new blood vessels on the retinal surfaces, is presented. These vessels, being thin and fragile, get ruptured easily leading to permanent blindness. The proposed algorithm consists of two stages. In the first stage, the retinal im...
Article
The severe stage of Diabetic Retinopathy (DR) is characterized by the growth of new blood vessels which is called Neovascularization (NV). The abnormally grown blood vessels on the disc are breakable in nature thus the patient is at high risk of sudden blindness. Therefore, the significance of early and accurate detection of Neo-vascularization on...
Article
Full-text available
Background Electroencephalogram (EEG) signals are obtained from the scalp surface to study various neuro-physiological functions of brain. Often, these signals are obscured by the other physiological signals of the subject from heart, eye and facial muscles. Hence, the successive applications of EEG are adversely affected. The wide spectrum and hig...
Chapter
Field-programmable gate array (FPGA) has been used as a very effective hardware platform in different research area as it enhances the efficiency of the embedded module. The accessibility of minimized, fast circuitry for a artificial neural networks (ANNs) is the most important and utmost necessity for many critical applications. In this paper, a s...
Article
In this paper, variational mode decomposition (VMD), Hilbert transform (HT), and proposed error-minimized random vector functional link network (EMRVFLN) are integrated to detect and classify epileptic seizure from electroencephalogram (EEG) signals. VMD is applied to decompose the EEG signal into Band-limited intrinsic mode functions (BLIMFs). The...
Chapter
Smart Cradle is an idea of transforming the Traditional Cradle (which requires no power to operate and has no extra features for the security & efficient child care facilities) into a Smart System with the efficient use of technology. By using the concepts of Internet of Things, Embedded Systems & Cloud Technology, we aim to build a smart system th...
Article
Full-text available
The occurrence of life-threatening ventricular arrhythmias (VAs) such as Ventricular tachycardia (VT) and Ventricular fibrillation (VF) leads to sudden cardiac death (SCD) which requires detection at an early stage. The main aim of this work is to develop an automated system using machine learning tool for accurate prediction of VAs that may reduce...
Chapter
The present Indian culture has changed from a man-centric and male-ruled society to a progressive one, where ladies work side by side with men. Also, ladies need to deal with their work life and family at the same time. The proposed framework will help parents, particularly working women to deal with their newborn children without being physically...
Conference Paper
Full-text available
Images acquired by any imaging system suffers from arbitrary variation in the intensity values, abrupt changes in the illumination and low contrast. Such images lack utilizable information and suffers from visual interpretability. Subsidiary information from such images are extracted by removing the noise, sharpening contrast and detection of the e...
Research
Full-text available
Optical character recognition (OCR) is a strategy to perceive character from optically checked and digitized pages. OCR plays an important role for Indian script research. The official language of the state Odisha is Odia. OCR face an incredible difficulties to recognize Odia language due to similar shape characters, their complex nature, the compl...
Research
Full-text available
Optical character recognition (OCR) is a strategy to perceive character from optically checked and digitized pages. OCR plays an important role for Indian script research. The official language of the state Odisha is Odia. OCR face an incredible difficulties to recognize Odia language due to similar shape characters, their complex nature, the compl...
Article
Full-text available
The improved spatial and spectral resolution in the advanced Hyperspectral (HS) sensors results in images with rich information per pixel. Hence, the development of efficient spatial–spectral feature extraction (FE) techniques is very crucial for a proper characterization of the objects on ground. In this paper, an attempt has been made to develop...
Article
Background and objective: Ambulatory based healthcare system use limited electrodes for electroencephalogram (EEG) acquisition at concerned electrode position, to minimize the instrumentation and computational complexity. But, again the possibility of contamination is inevitable depending on the electrode position on the scalp. This paper proposes...
Article
Full-text available
Odia character and digits recognition area are vital issues of these days in computer vision. In this paper a Hopfield neural network designe to solve the printed Odia character recognition has been discussed. Optical Character Recognition (OCR) is the principle of applying conversion of the pictures from handwritten, printed or typewritten to mach...
Article
Full-text available
Odia character and digits recognition area are vital issues of these days in computer vision. In this paper, a Hopfield neural network designed to solve the printed Odia character recognition has been discussed. Optical Character Recognition (OCR) is the principle of applying the conversion of the pictures from handwritten, printed, or typewritten...
Article
Full-text available
Classification is an important problem in a large variety of applications, which makes it an open-ended forum for researchers in various disciplines. In this paper, the proposed two approaches are mostly focused on Nearest Regularized Subspace (NRS) classifier. The proposed pair of variants are: (1) reducing the computational complexity of NRS clas...
Conference Paper
Full-text available
Developing of OCR for Indian scripts is an increasing area of research. This research work is an attempt to make an OCR system for Odia characters and numbers which is official language of ODISHA. In this work we proposed a new approach for Odia character recognition using digital curvelet transform. It presents characters and numbers recognition s...
Article
The Electroencephalogram (EEG) recordings from the frontal lobe of the human brain help in analyzing several important brain functions like motor functions, problem-solving skills, etc. or brain disorders. These recordings are often contaminated by high amplitude and long duration ocular artifacts (OAs) like eye blinks, flutters and lateral eye mov...
Article
Full-text available
The problem of classification is shared across various disciplines. Designing even less computationally demanding and more effective classifiers has been a key challenge for researchers for many years. No single classifier can be highly effective for all types of datasets and thus, depending on the data distribution, various classifiers have been p...
Conference Paper
Full-text available
In recent time the character recognition attract the attention of the researchers significantly as it has vast application in several fields. The process of converting input text images into machine understandable code or text is known as optical character recognition. In this paper we have devolved an efficient OCR for recognition of Odia Numerals...
Chapter
Electroencephalogram (EEG) is the most widely used non-invasive technique to record the electrical activity of brain for analysis or diagnostic procedures. The sensitive electrodes of EEG are susceptible to high amplitude electrocardiogram (ECG) signals, which superimpose on the recorded EEG. Minimizing this artifact effectively from a single chann...
Conference Paper
Ventricular fibrillation (VF) and ventricular tachycardia (VT) are the main cause of sudden cardiac deaths. It can be prevented by the timely application of automated external defibrillators (AEDs) by recognizing the severity of cardiac arrhythmias using complex algorithms. In this paper, we propose a novel algorithm based on empirical mode decompo...
Article
Full-text available
The hyperspectral images (HSIs) often suffer from Hughes effect, as it records information of a single scene in several spectral bands. This can be mitigated by reducing the dimension of HSI. A novel framework for hybrid band selection (BS) is proposed in this work. The proposed technique is a multi-objective approach, which incorporates clustering...
Article
Ventricular tachycardia (VT) and Ventricular fibrillation (VF) are the life-threatening ventricular arrhythmias that require treatment in an emergency. Detection of VT and VF at an early stage is crucial for achieving the success of the defibrillation treatment. Hence an automatic system using computer-aided diagnosis tool is helpful in detecting t...
Article
The occurrence of sudden cardiac arrest (SCA) leads to a massive death across the world. Hence the early prediction of ventricular tachycardia (VT) and ventricular fibrillation (VF) becomes vital to prevent from ventricular arrhythmia. In this study, we present a process to detect and classify VT and VF arrhythmias using temporal, spectral, and sta...
Conference Paper
Ventricular tachycardia (VT) and Ventricular fibrillation (VF) are the life-threatening ventricular arrhythmias that require treatment in an emergency. The automatic detection system is essential for detection of VT and VF conditions at anearly stage for better treatment. In this paper, discrete wavelet transform (DWT) was used to de-noise and deco...
Article
Detection of ischemic stroke using brain magnetic resonance imaging (MRI) images is vital for and a challenging task in clinical practice. We propose a novel method based on optimization technique to identify stroke lesion in diffusion-weighted imaging (DWI) MRI sequences of the brain. The algorithm was tested in a specific slice having large area...
Conference Paper
EEG signals are often contaminated by the ECG signal. The previous proposed methods are mostly ensemble average subtraction and ICA based. This paper proposes a robust method for detecting R peaks. Using Continuous Wavelet Transformation (CWT), the energy frequency distribution of the QRS waves in the ECG signal are exploited along with the quasi p...
Conference Paper
Ventricular fibrillation (VF) is the intense arrhythmia condition which is the major cause of cardiac arrest. Quick and precise detection of VF is crucial for the success of delivering an electrical shock through defibrillator to save life. Feature extraction algorithms have been used in electrocardiogram (ECG) signal to extract temporal and spectr...
Conference Paper
Face recognition for biometric purposes has an advantage of being a non-contact process. Various face recognition algorithms has been proposed in the literature. The face recognition system mainly consists of two steps i.e. feature extraction / reduction and classification. One of the most popular tool, Principal Component Analysis (PCA) is used fo...
Article
Affine Transform (AT) is widely used in high-speed image processing systems. This transform plays an important role in various high-speed image processing applications. AT, an important process during the intensity-based image registration, is applied iteratively during the registration. This is also used for the analysis of the interior of an orga...
Conference Paper
This paper focuses on algorithms which are used to count the number of people moving in or out of an area supervised by a single fixed overhead camera. The algorithms presented here have the capability of determining people count for a single person as well as for multiple people crossing the range of camera. The overall mechanism has been divided...
Article
Affine transform is widely used in the high speed image processing systems. This transform plays an important role in various high speed applications like Optical quadrature microscopy (OQM), image stabilisation in digital camera and image registration etc. In these applications, transformations of image consume most of the execution time. Hence, f...
Article
Image registration is the process of aligning two images. In biomedical imaging systems, the image is acquired using different modalities. To compare the images acquired using different methods, image registration is used. In image registration process, affine transform is one of the important operation. Affine transform is applied iteratively duri...
Article
Image registration is widely used in medical imaging, remote sensing, computer vision etc. Affine transformation is one of the important operations in image registration. In medical applications, images of similar or differing modalities often need to be aligned in real time during image guided therapy systems. For realizing image registration in r...
Article
Katsevich algorithm is the first exact cone-beam reconstruction algorithm for helical cone-beam computed tomography (CT) reconstruction. The commonly used Feldkamp-Davis-Kress (FDK) reconstruction algorithm is an approximate algorithm. The Katsevich algorithm is of filtered backprojection (FBP) type and is an exact algorithm. Although the accelerat...
Article
In biomedical imaging systems, the analysis of the interior of an organ is critical to detect eventual diseases or for surgical operations. So, to get a better view of the organs in 3D coordinate system, the affine transform (AT) has to be applied on the acquired volumetric image. The AT is also applied for biomedical CT image registration. The AT...

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