2 citations · 3 across the 4 of their papers we have counts for
5 papers
EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation
Vaibhav Joshi, Sricharan V, Preejith SP +1
An electroencephalogram (EEG) signal is currently accepted as a standard for automatic sleep staging. Lately, Near-human accuracy in automated sleep staging has been achievable by…
Multitask Network for Respiration Rate Estimation -- A Practical Perspective
Kapil Singh Rathore, Sricharan Vijayarangan, Preejith SP +1
The exponential rise in wearable sensors has garnered significant interest in assessing the physiological parameters during day-to-day activities. Respiration rate is one of the vi…
Hamilton Paths in Dominating Graphs of Trees and Cycles
Kira Adaricheva, Heather Smith Blake, Chassidy Bozeman +4
The dominating graph of a graph has as its vertices all dominating sets of , with an edge between two dominating sets if one can be obtained from the other by the addition o…
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(…
RespNet: A deep learning model for extraction of respiration from photoplethysmogram
Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan +5
Respiratory ailments afflict a wide range of people and manifests itself through conditions like asthma and sleep apnea. Continuous monitoring of chronic respiratory ailments is se…