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Article
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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Article
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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Article
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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Article
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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Article
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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Chapter and Conference Paper
Beta Artificial Bee Colony Algorithm for EMG Feature Selection
The electromyography (EMG) signals play a very important role in the muscular activity of the human body. Muscular activities can be measured and analyzed through various movements such as writing, walking, ru...