5 citations · 11 across the 8 of their papers we have counts for
10 papers
KDPhys: An Attention Guided 3D to 2D Knowledge Distillation for Real-time Video-Based Physiological Measurement
Nicky Nirlipta Sahoo, VS Sachidanand, Matcha Naga Gayathri +4
Camera-based physiological monitoring, such as remote photoplethysmography (rPPG), captures subtle variations in skin optical properties caused by pulsatile blood volume changes us…
Online Action Representation using Change Detection and Symbolic Programming
Vishnu S Nair, Sneha Sree, Jayaraj Joseph +1
This paper addresses the critical need for online action representation, which is essential for various applications like rehabilitation, surveillance, etc. The task can be defined…
Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit
Nicky Nirlipta Sahoo, Balamurali Murugesan, Ayantika Das +5
Preterm babies in the Neonatal Intensive Care Unit (NICU) have to undergo continuous monitoring of their cardiac health. Conventional monitoring approaches are contact-based, makin…
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG
Sricharan Vijayarangan, Vignesh R, Balamurali Murugesan +3
Automatic detection of R-peaks in an Electrocardiogram signal is crucial in a multitude of applications including Heart Rate Variability (HRV) analysis and Cardio Vascular Disease(…
Robust Modelling of Reflectance Pulse Oximetry for SpO Estimation
Sricharan Vijayarangan, Prithvi Suresh, Preejith SP +2
Continuous monitoring of blood oxygen saturation levels is vital for patients with pulmonary disorders. Traditionally, SpO monitoring has been carried out using transmittance p…
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification
Sricharan Vijayarangan, Balamurali Murugesan, Vignesh R +3
Cardiac arrhythmia is a prevalent and significant cause of morbidity and mortality among cardiac ailments. Early diagnosis is crucial in providing intervention for patients sufferi…