Search Results - "Dhas, D. Edwin"

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  1. 1

    Extraction of Fetal ECG From Abdominal and Thorax ECG Using a Non-Causal Adaptive Filter Architecture by D, Edwin Dhas, M, Suchetha

    “…Extracting the Electrocardiogram (ECG) of a fetus from the ECG signal of the maternal abdomen is a challenging task due to different artifacts. The paper…”
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    Journal Article
  2. 2

    Energy-Dependent RLS Architecture for the Separation of Fetal ECG Using Thoracic and Abdominal Lead ECG of Mother by Dhas, D. Edwin, Suchetha, M.

    “…This article proposes a fetal electrocardiogram (FECG) separation approach based on an energy-dependent recursive least-square (RLS) filtering approach that…”
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    Journal Article
  3. 3

    Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture Features by Sathvika, V. S. S. Bala Tripura, Anmisha, Nagilla, Thanmayi, Vada, Suchetha, M., Dhas, D. Edwin, Sehastrajit, S., Aakur, Sathyanarayanan N.

    Published in IEEE access (2024)
    “…The classification of skin lesions is crucial because it increases the likelihood that malignant skin lesions will be discovered early on, allowing for more…”
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    Journal Article
  4. 4

    Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy by Das, Sraddha, Kharbanda, Krity, M, Suchetha, Raman, Rajiv, D, Edwin Dhas

    Published in Biomedical signal processing and control (01-07-2021)
    “…Diabetic retinopathy is ophthalmological distress, diabetic patients suffer due to clots, lesions, or haemorrhage formation in the light-sensitive region of…”
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    Journal Article
  5. 5

    Weight optimized fixed and variable step-size adaptive filters for fetal ECG extraction by D., Edwin Dhas, M., Suchetha

    Published in Biomedical signal processing and control (01-12-2024)
    “…During the antepartum and intrapartum periods, clinicians can obtain important clinical information through the monitoring of fetal electrocardiograms (FECG)…”
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    Journal Article
  6. 6

    Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN by Suchetha, M., Ganesh, N. Sai, Raman, Rajiv, Dhas, D. Edwin

    Published in Soft computing (Berlin, Germany) (01-12-2021)
    “…Macular edema (ME) is an essential sort of macular issue caused due to the storing of fluid underneath the macula. Age-related Macular Degeneration (AMD) and…”
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    Journal Article
  7. 7

    Impact of Linearization in Abdominal ECG for Non-Causal Filtering Structure in Fetal ECG Extraction by D, Edwin Dhas, M, Suchetha

    “…Extraction of fetal electrocardiogram (FECG) plays a major role in monitoring fetal growth and in the diagnosis of fetal heart disorder. This research study…”
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    Conference Proceeding
  8. 8

    An insight on recent advancements and future perspectives in detection techniques of Parkinson’s disease by Sankineni, Snehith, Saraswat, Aanchal, Suchetha, M., Aakur, Sathyanarayanan N., Sehastrajit, S., Dhas, D. Edwin

    Published in Evolutionary intelligence (01-06-2024)
    “…Parkinson’s disease has no specific test for diagnosis, which is usually detected through a review of signs and symptoms like tremors, stiffness, and slowness…”
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    Journal Article
  9. 9

    Dual phase dependent RLS filtering approach for baseline wander removal in ECG signal acquisition by Edwin Dhas, D., Suchetha, M.

    Published in Biomedical signal processing and control (01-08-2022)
    “…•The paper proposed a baseline wander removal scheme that uses the upper and lower envelope detection mechanism.•The paper uses the phases from the upper and…”
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    Journal Article
  10. 10

    Simulated attack based feature region selection for efficient digital image watermarking by Shijin, K. P. S., Edwin, D. D.

    “…An ideal feature region selection method for efficient digital image watermarking is proposed in this paper. The aim of this method is to select a feature…”
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    Conference Proceeding
  11. 11

    Robust speech recognition under noisy environment using speech rate training system by Edwin, D. D., Bency, R. L., Arul, K. J.

    “…This paper proposes a speech rate training system approach to characterizing environments to improve the performance of automatic speech recognition system…”
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    Conference Proceeding