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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
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
Type2 Diabetes Classification from Short Photoplethysmogram Signal Using Multiple Domain Features and Machine Learning Techniques
Type 2 diabetes is a rapidly growing chronic disease that needs early detection. If untreated in the initial stage, diabetes-related problems such as retinopathy, neuropathy, and cardiac complications arise in...
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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...