most citedEnd-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2021★ 1 cited

Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge Devices

Vishal Nagarajan, Ashwini Muralidharan, Deekshitha Sriraman +1

Neonatal seizures are a commonly encountered neurological condition. They are the first clinical signs of a serious neurological disorder. Thus, rapid recognition and treatment are…

cs.LG2021★ 2 cited

End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices

Sideshwar J B, Sachin Krishan T, Vishal Nagarajan +2

Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia worldwide, with 2% of the population affected. It is associated with an increased risk of strokes, heart failure a…