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Heart Motion Prediction Based on Adaptive Estimation Algorithms for Robotic Assisted Beating Heart Surgery
Robotic assisted beating heart surgery aims to allow surgeons to operate on a beating heart without stabilizers as if the heart is stationary. In this paper, two least-square based prediction algorithms, using an adaptive filter to generate future position estimates, are implemented and studied.
Can an Athlete Have Too Much Ticker? Hypertrophic Cardiomyopathy in Young Athletes
Sudden cardiac death (SCD) is an uncommon but devastating potential consequence of participation in competitive sport.
Three-Day Magnesium Administration Prevents Atrial Fibrillation After Coronary Artery Bypass Grafting
Background: The efficacy of magnesium administration in preventing the occurrence of atrial fibrillation after coronary artery bypass grafting surgery remains controversial. Optimal dose […]