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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...

    Bhanupriya Mishra, Neelamshobha Nirala in Neural Computing and Applications (2024)

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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...

    Bhanupriya Mishra, Neelamshobha Nirala in Signal, Image and Video Processing (2023)

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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...

    Bhanupriya Mishra, Neelamshobha Nirala in Research on Biomedical Engineering (2023)

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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...

    Padmini Sahu, Bikesh Kumar Singh in Machine Learning, Image Processing, Networ… (2023)