From Pacemaker to Wearable: Techniques for ECG Detection Systems. - Ashish Kumar 005; Rama Komaragiri; Manjeet Kumar (J. Medical Syst., 2018)

Design of a Biorthogonal Wavelet Transform Based R-Peak Detection and Data Compression Scheme for Implantable Cardiac Pacemaker Systems. - Ashish Kumar 005; Manjeet Kumar; Rama Komaragiri (J. Medical Syst., 2018)

Design of efficient fractional operator for ECG signal detection in implantable cardiac pacemaker systems. - Ashish Kumar 005; Rama Komaragiri; Manjeet Kumar (Int. J. Circuit Theory Appl., 2019)

Classification of Normal and Abnormal ECG signals using Support Vector Machine and Fourier Decomposition Method. - Ashish Kumar 005; Virender Kumar Mehla; Harshit Tomar; Manjeet Kumar; Rama Komaragiri (iSES, 2020)

Reference signal less Fourier analysis based motion artifact removal algorithm for wearable photoplethysmography devices to estimate heart rate during physical exercises. - Pankaj; Ashish Kumar 005; Rama Komaragiri; Manjeet Kumar (Comput. Biol. Medicine, 2022)

Watermarking of ECG signals compressed using Fourier decomposition method. - Prashant Mani Tripathi; Ashish Kumar 005; Rama Komaragiri; Manjeet Kumar (Multim. Tools Appl., 2022)

STSR: Spectro-Temporal Super-Resolution Analysis of a Reference Signal Less Photoplethysmogram for Heart Rate Estimation During Physical Activity. - Pankaj; Ashish Kumar 005; Manjeet Kumar; Rama Komaragiri (IEEE Trans. Instrum. Meas., 2022)

Multilevel Classification and Detection of Cardiac Arrhythmias With High-Resolution Superlet Transform and Deep Convolution Neural Network. - Prashant Mani Tripathi; Ashish Kumar 005; Manjeet Kumar; Rama Komaragiri (IEEE Trans. Instrum. Meas., 2022)

Analysis of photoplethysmogram signal to estimate heart rate during physical activity using fractional fourier transform - A sampling frequency independent and reference signal-less method. - Pankaj; Ashish Kumar 005; Aryaman Ashdhir; Rama Komaragiri; Manjeet Kumar (Comput. Methods Programs Biomed., 2023)

A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography. - Pankaj; Ashish Kumar 005; Rama Komaragiri; Manjeet Kumar (Comput. Methods Programs Biomed., 2023)

Automatic seizure detection and classification using super-resolution superlet transform and deep neural network -A preprocessing-less method. - Prashant Mani Tripathi; Ashish Kumar 005; Manjeet Kumar; Rama S. Komaragiri (Comput. Methods Programs Biomed., 2023)

Edge-Based Computation of Super-Resolution Superlet Spectrograms for Real-Time Estimation of Heart Rate Using an IoMT-Based Reference-Signal-Less PPG Sensor. - Pankaj; Ashish Kumar 005; Manjeet Kumar; Rama Komaragiri (IEEE Internet Things J., 2024)