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N. Punitha

Observed names: N Punitha, N Punitha., Punitha N, Punitha Namadurai
ORCID: 0000-0002-9265-337X
Observed ORCID: 0000-0002-9265-337X
OpenAlex ID: A5113932857
Multifractal Analysis of Uterine Electromyography Signals for the Assessment of Progression of Pregnancy in Term Conditions
2018 · Punitha Namadurai, Vardhini Padmanabhan, et al. · IEEE Journal of Biomedical and Health Informatics · 30
Automated detection of preterm condition using uterine electromyography based topological features
2021 · S. Vinothini, N. Punitha, et al. · Journal of Applied Biomedicine · 15
Analysis of muscle fatigue conditions using time-frequency images and GLCM features
2016 · P.A. Karthick, M. Navaneethakrishna, et al. · Current Directions in Biomedical Engineering · 14
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The First Two Months of Kolmogorov-Arnold Networks (KANs): A Survey of the State-of-the-Art
2025 · Anurag Dutta, B. Maheswari, et al. · Archives of Computational Methods in Engineering · 10
Analysis of Muscle Fatigue Progression Using Geometric Features of Surface Electromyography Signals and Explainable XGBoost Classifier
2024 · N. Punitha, K. Divya Bharathi, et al. · Journal of Medical and Biological Engineering · 7
Multifractal analysis of uterine electromyography signals to differentiate term and preterm conditions
2019 · N Punitha, S Ramakrishnan · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine · 7
Analysis of uterine EMG signals in term and preterm conditions using generalised Hurst exponent features
2019 · N. Punitha, S. Ramakrishnan · Electronics Letters · 6
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Cyclostationary analysis of uterine EMG measurements for the prediction of preterm birth
2024 · S. Vinothini, N. Punitha, et al. · Biomedical Engineering Letters · 4
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Differentiation of fluctuations in uterine contractions associated with Term pregnancies using adaptive fractal features of electromyography signals
2021 · P. Vardhini, N. Punitha, et al. · Medical Engineering & Physics · 3
Empirical Mode Decomposition based Detrended Fluctuation Analysis of Uterine Electromyography Signals in Term Conditions
2020 · P. Vardhini, N. Punitha, et al. · IEIE Transactions on Smart Processing and Computing · 3
Analysis of uterine electromyography signals in preterm condition using multifractal algorithm
2018 · N Punitha., S Ramakrishnan. · 3
Fluctuation Analysis of Uterine Contractions in Term Pregnancies Using Electrohysterography Signals and Empirical Mode Decomposition-Based Multifractal Features
2024 · N. Punitha, S. R. Manuskandan, et al. · Fluctuation and Noise Letters · 2
Analysis of Fluctuations of Uterine Contractions in Preterm Pregnancies using Adaptive Fractal Features of Electromyography Signals
2020 · N. Punitha, P. Vardhini, et al. · Fluctuation and Noise Letters · 2
Multifractal Analysis of Term and Preterm Uterine EMG Signals Using Wavelet Leaders
2018 · P. Vardhini, N. Punitha, et al. · 2
Analysis of Fornix in Structural MR Images of Mild Cognitive Impairment and Alzheimer’s Disease Conditions Using Multifractal Detrended Moving Average Algorithm
2025 · Ahsan Ali, Punitha Namadurai, et al. · Fluctuation and Noise Letters · 1
Machine Learning Techniques for the Prediction of Preterm Birth Using Electrohysterography Signals
2024 · Punitha Namadurai · Advances in medical technologies and clinical practice book series · 1
Classification of Emphysema in Computed Tomography Images Using Convolutional Neural Network
2023 · N Punitha, S Shivapriya, et al. · International Conference on Image Information Processing (ICIIP) · 1
Analysis of Preterm Pregnancies using Empirical Mode Decomposition based Fractal Features
2021 · Vardhini Padmanabhan, Punitha Namadurai, et al. · Current Directions in Biomedical Engineering · 1
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Analysis of Pregnancy Progression in Term Condition Using Propagation Features and Uterine EMG Measurements
2026 · Vinothini S, Punitha N, et al. · IEEE Sensors Letters
Diagnosis And Classification Of Breast Cancer From Thermogram Images Using Texture Feature And Artificial Neural Network (Ann)
2018 · N. Punitha, R. B. Ramyaa, et al. · Zenodo (CERN European Organization for Nuclear Research)
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Works count: 20
Citation count: 112
H-index: 6
I10-index: 4
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