M. Suchetha
Orcid: 0000-0003-0182-6341Affiliations:
- Vellore Institute of Technology (VIT), Centre for Healthcare Advancements, Innovation and Research, Chennai Campus, India
According to our database1,
M. Suchetha
authored at least 21 papers
between 2013 and 2024.
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Bibliography
2024
A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification.
Biomed. Signal Process. Control., February, 2024
2023
Neural Comput. Appl., August, 2023
Energy-Dependent RLS Architecture for the Separation of Fetal ECG Using Thoracic and Abdominal Lead ECG of Mother.
IEEE Trans. Instrum. Meas., 2023
Comparative performance of deep learning architectures in classification of diabetic retinopathy.
Int. J. Ad Hoc Ubiquitous Comput., 2023
Surrounding Vehicle Motion Prediction in Non-Lane-Based Environments for ADAS Enhancement.
IEEE Access, 2023
2022
Extraction of Fetal ECG From Abdominal and Thorax ECG Using a Non-Causal Adaptive Filter Architecture.
IEEE Trans. Biomed. Circuits Syst., 2022
A deep neural network for the classification of epileptic seizures using hierarchical attention mechanism.
Soft Comput., 2022
A novel optimised apnea classification with AA-CNN method by utilising the EDR and ECG features.
Int. J. Ad Hoc Ubiquitous Comput., 2022
An optimised machine learning algorithm for classification of epileptic seizures using EMD-based dynamic features of EEG.
Int. J. Ad Hoc Ubiquitous Comput., 2022
Dual phase dependent RLS filtering approach for baseline wander removal in ECG signal acquisition.
Biomed. Signal Process. Control., 2022
A Data Analytics Suite for Exploratory Predictive, and Visual Analysis of Type 2 Diabetes.
IEEE Access, 2022
2021
Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN.
Soft Comput., 2021
Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy.
Biomed. Signal Process. Control., 2021
Sequential Convolutional Neural Networks for classification of cognitive tasks from EEG signals.
Appl. Soft Comput., 2021
2020
Analysis of salivary components as non-invasive biomarkers for monitoring chronic kidney disease.
Int. J. Medical Eng. Informatics, 2020
A dynamic pooling based convolutional neural network approach to detect chronic kidney disease.
Biomed. Signal Process. Control., 2020
2019
PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications.
Comput. Biol. Medicine, 2019
2018
Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network.
IEEE J. Biomed. Health Informatics, 2018
2017
Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non-invasive diabetes detection.
IET Circuits Devices Syst., 2017
2013
Classification of Arrhythmia in Electrocardiogram using EMD Based Features and Support Vector Machine with Margin Sampling.
Int. J. Comput. Intell. Appl., 2013
Empirical mode decomposition based filtering techniques for power line interference reduction in electrocardiogram using various adaptive structures and subtraction methods.
Biomed. Signal Process. Control., 2013