16 Result(s)
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Article
Bikesh Kumar Singh
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Article
Analysis of reading-task-based brain connectivity in dyslexic children using EEG signals
Developmental dyslexia, a neurodevelopment reading disorder, can impact even children with average intelligence. The present study examined the brain connectivity in dyslexic and control children during the re...
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Vocal tasks-based EEG and speech signal analysis in children with neurodevelopmental disorders: a multimodal investigation
Neurodevelopmental disorders (NDs) often hamper multiple functional prints of a child brain. Despite several studies on their neural and speech responses, multimodal researches on NDs are extremely rare. The p...
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Multicriteria decision support system for triage and ethical allocation of scarce resources to COVID-19 patients
Mitigating the rapid surge of Coronavirus disease (COVID-19) is one of the challenging tasks for the healthcare industry. While offering adequate healthcare services to the best of their ability, scarce medica...
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Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method
Type-2 diabetes mellitus (DM-2) is a complicated endocrine and metabolism condition recognized as the most major non-communicable disease in the world. The complications associated with DM-2 involve cardiovasc...
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Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm
The manual examination of Breast Cancer (BC) images for disease detection is prone to error, is time-consuming, and has low accuracy. The Computer-Aided Detection (CAD) system can overcome the above-mentioned ...
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A hybrid bioinspired model for improving the efficiency of correlative auscultation analysis
Identification of lung health assists patients suffering from Asthma & Chronic Obstructive Pulmonary Disease (COPD) to take corrective measures. To perform this task, Computer Tomography (CT) scans, auscultati...
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Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier
Type-2 diabetes mellitus (T2DM) is a chronic metabolic disorder affecting numerous people throughout the world. If untreated in the initial stages, diabetes-related complications such as retinopathy, neuropath...
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A dual-modality evaluation of computer-aided breast lesion segmentation in mammogram and ultrasound using customized transfer learning approach
Manual segmentation of breast lesions is a tedious and time-consuming task. The existing state-of-the-art studies are evaluated on single modalities, i.e., either on mammogram or ultrasound thereby having limi...
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A real-time correlation model between lung sounds & clinical data for asthmatic patients
Lung sounds indicate the lung’s capacity to hold and breathe oxygen, which assists in evaluating its qualitative health. While clinical lung data like cough conditions, mucus levels, shortness of breath, wheez...
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EEG based functional brain networks analysis in dyslexic children during arithmetic task
Developmental Dyslexia is a neuro-developmental disorder that often refers to a phonological processing deficit regardless of average IQ. The present study investigated the distinct functional changes in brain...
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Integrating patient symptoms, clinical readings, and radiologist feedback with computer-aided diagnosis system for detection of infectious pulmonary disease: a feasibility study
Automatic computer-aided diagnosis (CAD) system has been widely used as an assisting tool for mass screening and risk assessment of infectious pulmonary diseases (PDs). However, such a system still lacks clini...
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Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm
This article investigates the classification of normal and COPD subjects on the basis of respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy subject data are recorded. Tota...
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Soft voting technique to improve the performance of global filter based feature selection in text corpus
In text classification, the Global Filter-based Feature Selection Scheme (GFSS) selects the top-N ranked words as features. It discards the low ranked features from some classes either partially or completely....
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Use of Prosocial Word Enhances the Processing of Language: Frequency Domain Analysis of Human EEG
Use of prosocial language enhances human cooperation and harmony. Previous research has shown that talking about hel**, sharing and giving to others creates positive impression on others, by which individual...
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Segmentation of Brain Lesions in MRI and CT Scan Images: A Hybrid Approach Using k-Means Clustering and Image Morphology
Manual segmentation and analysis of lesions in medical images is time consuming and subjected to human errors. Automated segmentation has thus gained significant attention in recent years. This article present...
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Open AccessEnhanced cryopreservation of MSCs in microfluidic bioreactor by regulated shear flow
Cell-matrix systems can be stored for longer period of time by means of cryopreservation. Cell-matrix and cell-cell interaction has been found to be critical in a number of basic biological processes. Tissue s...
