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Rama Komaragiri
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2020 – today
- 2024
- [j11]Pankaj
, Ashish Kumar, Manjeet Kumar
, Rama Komaragiri
:
Edge-Based Computation of Super-Resolution Superlet Spectrograms for Real-Time Estimation of Heart Rate Using an IoMT-Based Reference-Signal-Less PPG Sensor. IEEE Internet Things J. 11(5): 8647-8657 (2024) - 2023
- [j10]Pankaj
, Ashish Kumar, Aryaman Ashdhir, Rama Komaragiri, Manjeet Kumar
:
Analysis of photoplethysmogram signal to estimate heart rate during physical activity using fractional fourier transform - A sampling frequency independent and reference signal-less method. Comput. Methods Programs Biomed. 229: 107294 (2023) - [j9]Prashant Mani Tripathi, Ashish Kumar, Manjeet Kumar, Rama S. Komaragiri:
Automatic seizure detection and classification using super-resolution superlet transform and deep neural network -A preprocessing-less method. Comput. Methods Programs Biomed. 240: 107680 (2023) - [j8]Pankaj
, Ashish Kumar, Rama Komaragiri
, Manjeet Kumar
:
A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography. Comput. Methods Programs Biomed. 240: 107716 (2023) - 2022
- [j7]Pankaj
, Ashish Kumar, Rama Komaragiri
, Manjeet Kumar
:
Reference signal less Fourier analysis based motion artifact removal algorithm for wearable photoplethysmography devices to estimate heart rate during physical exercises. Comput. Biol. Medicine 141: 105081 (2022) - [j6]Prashant Mani Tripathi
, Ashish Kumar, Rama Komaragiri, Manjeet Kumar
:
Watermarking of ECG signals compressed using Fourier decomposition method. Multim. Tools Appl. 81(14): 19543-19557 (2022) - [j5]Pankaj
, Ashish Kumar
, Manjeet Kumar
, Rama Komaragiri
:
STSR: Spectro-Temporal Super-Resolution Analysis of a Reference Signal Less Photoplethysmogram for Heart Rate Estimation During Physical Activity. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j4]Prashant Mani Tripathi
, Ashish Kumar
, Manjeet Kumar
, Rama Komaragiri
:
Multilevel Classification and Detection of Cardiac Arrhythmias With High-Resolution Superlet Transform and Deep Convolution Neural Network. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - 2020
- [c6]Ashish Kumar, Virender Kumar Mehla, Harshit Tomar, Manjeet Kumar, Rama Komaragiri:
Classification of Normal and Abnormal ECG signals using Support Vector Machine and Fourier Decomposition Method. iSES 2020: 161-166 - [c5]Krishnapriya S, Rama Komaragiri, Suja K. J:
Performance Evaluation Of Via-free Non-spiral Planar Microcoils for Biomedical Wireless Links. iSES 2020: 208-211 - [c4]Krishnapriya S, Rama Komaragiri, Suja K. J:
Performance Evaluation Of Via-free Non-spiral Planar Microcoils. NEMS 2020: 247-250
2010 – 2019
- 2019
- [j3]Ashish Kumar
, Rama Komaragiri
, Manjeet Kumar
:
Design of efficient fractional operator for ECG signal detection in implantable cardiac pacemaker systems. Int. J. Circuit Theory Appl. 47(9): 1459-1476 (2019) - 2018
- [j2]Ashish Kumar, Rama Komaragiri
, Manjeet Kumar
:
From Pacemaker to Wearable: Techniques for ECG Detection Systems. J. Medical Syst. 42(2): 34:1-34:17 (2018) - [j1]Ashish Kumar, Manjeet Kumar
, Rama Komaragiri
:
Design of a Biorthogonal Wavelet Transform Based R-Peak Detection and Data Compression Scheme for Implantable Cardiac Pacemaker Systems. J. Medical Syst. 42(6): 102:1-102:12 (2018) - [c3]S. Krishnapriya, Rama Komaragiri
, Suja K. J:
Detection of Magnetic Particles Using Induction-Balance Microsensor Based on Non-Spiral Planar Microcoils. IEEE SENSORS 2018: 1-4 - 2017
- [c2]Krishnapriya S, Rama Komaragiri
, Suja K. J:
Non-spiral planar microcoils for biomedical applications. NEMS 2017: 780-783 - 2015
- [c1]N. K. Kranthi, Radhakrishnan Sithanandam, Rama Komaragiri
:
Recessed MOSFET in 28 nm FDSOI for Better Breakdown Characteristics. VLSID 2015: 282-285
Coauthor Index
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