A comparative study on spectral parameters of HRV in yogic and non-yogic practitioners. - Ramesh Kumar Sunkaria; Vinod Kumar 002; Suresh Chandra Saxena (Int. J. Medical Eng. Informatics, 2010)

Sample entropy-based HRV characterisation. - Ramesh Kumar Sunkaria; Vinod Kumar 002; Suresh Chandra Saxena (Int. J. Medical Eng. Informatics, 2012)

An ANN-based HRV classifier for cardiac health prognosis. - Ramesh Kumar Sunkaria; Vinod Kumar 002; Suresh Chandra Saxena; Achala M. Singhal (Int. J. Electron. Heal., 2014)

Modified approach for ECG signal denoising based on empirical mode decomposition and moving average filter. - Sonali Jha; Omkar Singh; Ramesh Kumar Sunkaria (Int. J. Medical Eng. Informatics, 2014)

Cardiac variability time-series analysis by sample entropy and multiscale entropy. - Puneeta Marwaha; Ramesh Kumar Sunkaria (Int. J. Medical Eng. Informatics, 2015)

Empirical wavelet transform-based delineator for arterial blood pressure waveforms. - Omkar Singh; Ramesh Kumar Sunkaria (Bio Algorithms Med Syst., 2016)

Two-channel perfect reconstruction (PR) quadrature mirror filter (QMF) bank design using logarithmic window function and spline function. - Aman Kumar; Ramesh Kumar Sunkaria (Signal Image Video Process., 2016)

Exploring total cardiac variability in healthy and pathophysiological subjects using improved refined multiscale entropy. - Puneeta Marwaha; Ramesh Kumar Sunkaria (Medical Biol. Eng. Comput., 2017)

An empirical wavelet transform based approach for multivariate data processing application to cardiovascular physiological signals. - Omkar Singh; Ramesh Kumar Sunkaria (Bio Algorithms Med Syst., 2018)

A novel local octa-pattern feature descriptor for image retrieval. - Rakesh Asery; Ramesh Kumar Sunkaria (Signal Image Video Process., 2018)

Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach. - Lakhan Dev Sharma; Ramesh Kumar Sunkaria (Signal Image Video Process., 2018)

Merged LSTM Model for emotion classification using EEG signals. - Anumit Garg; Ashna Kapoor; Anterpreet Kaur Bedi; Ramesh Kumar Sunkaria (ICDSE, 2019)

Arrhythmia detection based on time-frequency features of heart rate variability and back-propagation neural network. - Ram Sewak Singh; Barjinder Singh Saini; Ramesh Kumar Sunkaria (Iran J. Comput. Sci., 2019)

Despeckling of ultrasound images using novel adaptive wavelet thresholding function. - Simarjot Kaur Randhawa; Ramesh Kumar Sunkaria; Emjee Puthooran (Multidimens. Syst. Signal Process., 2019)

Automatic Fetus Head Segmentation In Ultrasound Images By Attention Based Encoder Decoder Network. - Prerna Bhalla; Ramesh Kumar Sunkaria; Aman Kamboj; Anterpreet Kaur Bedi (ICCCNT, 2021)

Ultrasound Image Despeckling and Enhancement using Modified Multiscale Anisotropic Diffusion Model in Non-Subsampled Shearlet Domain. - Anterpreet Kaur Bedi; Ramesh Kumar Sunkaria; Deepti Mittal (Comput. J., 2021)

Digitisation of paper-ECG using column wise-median approach. - Priyanka Gautam; Ramesh Kumar Sunkaria; Lakhan Dev Sharma (Int. J. Comput. Appl. Technol., 2021)

Mean distance local binary pattern: a novel technique for color and texture image retrieval for liver ultrasound images. - Anterpreet Kaur Bedi; Ramesh Kumar Sunkaria (Multim. Tools Appl., 2021)

Suitability of multiscale entropy for complexity quantification of cardiac rhythms in chronic pathological conditions: a similarity patterns based investigation. - Puneeta Marwaha; Ramesh Kumar Sunkaria; Aman Kumar (Multim. Tools Appl., 2021)

Cognitive performance detection using entropy-based features and lead-specific approach. - Lakhan Dev Sharma; Ritesh Kumar Saraswat; Ramesh Kumar Sunkaria (Signal Image Video Process., 2021)

Ultrasound speckle reduction using adaptive wavelet thresholding. - Anterpreet Kaur Bedi; Ramesh Kumar Sunkaria (Multidimens. Syst. Signal Process., 2022)

Statistical recursive minimum cross entropy for ultrasound image segmentation. - Anterpreet Kaur Bedi; Ramesh Kumar Sunkaria (Multim. Tools Appl., 2022)

Novel multiscale E-metric cross-sample entropy-based cardiac arrhythmia detection and its performance investigation in reference to multiscale cross-sample entropy-based analysis. - Kanchan Sharma; Ramesh Kumar Sunkaria (Signal Image Video Process., 2023)

AFA: Anti-Flooding Attack Scheme Against Flooding Attack in MANET. - Vivek Mankotia; Ramesh Kumar Sunkaria; Shashi Gurung (Wirel. Pers. Commun., 2023)

Early Detection of Arrhythmia Using XGBoost Model. - Mansi Andotra; Ramesh Kumar Sunkaria (ICCCNT, 2024)

DTAM: A Dynamic Threshold and Monitoring Based Technique to Protect Mobile Ad-hoc Network from Black-Hole and Flooding Attacks. - Vivek Mankotia; Ramesh Kumar Sunkaria; Shashi Gurung (Wirel. Pers. Commun., 2024)

ECG compression based on empirical mode decomposition and tunable-Q wavelet transform with validation using heartbeat classification. - Neenu Sharma; Ramesh Kumar Sunkaria (Signal Image Video Process., 2024)

Electrocardiogram Heartbeat Classification Using Machine Learning and Ensemble Convolutional Neural Network-Bidirectional Long Short-Term Memory Technique. - Neenu Sharma; Ramesh Kumar Sunkaria; Amandeep Kaur 002 (IEEE Trans. Artif. Intell., 2024)

The Enigmatic U-Wave Delineation and Classification Based on Hybrid Feature Fusion Using Stationary Wavelet Transform and Ensemble Machine Learning Algorithm. - Neenu Sharma; Ramesh Kumar Sunkaria (IEEE Trans. Consumer Electron., 2024)