Sricharan Vijayarangan

According to our database, Sricharan Vijayarangan authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2024

A Hybrid Approach to Estimate Vertical Oscillation Using a Chest-Worn Accelerometer Device.

Shrihari Nair, Dhinesh R, Sricharan Vijayarangan, Preejith S. P, Mohanasankar Sivaprakasam

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

2023

Heart Rate Variability Based Estimation of Maximal Oxygen Uptake in Athletes Using Supervised Regression Models.

Vaishali Balakarthikeyan, Rohan R. Jais, Sricharan Vijayarangan, Preejith Sreeletha Premkumar, Mohanasankar Sivaprakasam

Sensors, March, 2023

A Multifunctional Network with Uncertainty Estimation and Attention-Based Knowledge Distillation to Address Practical Challenges in Respiration Rate Estimation.

Kapil Singh Rathore, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam

Sensors, February, 2023

2022

EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation.

Vaibhav Joshi, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam

CoRR, 2022

Lifestyle Assessment of Large Scale Population using Repose - A Heart Rate Variability based Lifestyle Assessment Platform.

Swaathi Venkat, Dhinesh Ramasamy, Sricharan Vijayarangan, Deepak Vagish, Teja Prakash Kakarla, S. P. Preejith, Mohanasankar Sivaprakasam

Proceedings of the 2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH), 2022

Heart Rate Variability of Healthcare Workers during Covid-19.

Lavanya Govindan, Vaishali Balakarthikeyan, Sujithra Srinivas, Sricharan Vijayarangan, Cassia Zuleira, Preejith SP, Mohanasankar Sivaprakasam

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

A Comparative Study of Heart Rate Variability Methods for Stress Detection.

Vaishali Balakarthikeyan, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

2021

A Deep Learning Based Multitask Network for Respiration Rate Estimation - A Practical Perspective.

Kapil Singh Rathore, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam

CoRR, 2021

A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging.

Vaibhav Joshi, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam

CoRR, 2021

A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction.

Balamurali Murugesan, Sriprabha Ramanarayanan, Sricharan Vijayarangan, Keerthi Ram, Naranamangalam R. Jagannathan, Mohanasankar Sivaprakasam

Comput. Medical Imaging Graph., 2021

Statistical Analysis of Mental Stress During Oral Presentation.

A. Antony Raj, Vaishali Balakarthikeyan, Deepak Vagish, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021

2020

Robust Modelling of Reflectance Pulse Oximetry for SpO₂ Estimation.

Sricharan Vijayarangan, Prithvi Suresh, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam

CoRR, 2020

KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow.

Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation.

Sricharan Vijayarangan, Prithvi Suresh, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG.

Sricharan Vijayarangan, Vignesh Ravichandran, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification.

Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020