Cardiovascular
Category VIEW ALL
Machine Learning-Based Prediction of Refractory Ventricular Fibrillation During Cardiac Arrest
This technology uses machine learning to analyze ECG data during cardiac arrest and predict whether a patient’s heart rhythm will require 3 or more defibrillation shocks during resuscitation. It enables earlier identification of patients who may require alternative or advanced interventions.
TBD
Smart Alarm System for Neonatal IV Catheters Using Fuzzy Logic and Multimodal Sensors
A sensor-integrated alarm system for intravenous (IV) catheters in neonates uses fuzzy logic to detect early signs of infusion failure, helping clinicians intervene before complications arise.
TBD