4 papers
Towards Improved Short-term Hypoglycemia Prediction and Diabetes Management based on Refined Heart Rate Data
Vaibhav Gupta, Florian Grensing, Beyza Cinar +2
Hypoglycemia is a severe condition of decreased blood glucose, specifically below 70 mg/dL (3.9 mmol/L). This condition can often be asymptomatic and challenging to predict in indi…
A Proposed Paradigm for Imputing Missing Multi-Sensor Data in the Healthcare Domain
Vaibhav Gupta, Florian Grensing, Beyza Cinar +1
Chronic diseases such as diabetes pose significant management challenges, particularly due to the risk of complications like hypoglycemia, which require timely detection and interv…
Breaking Free: Decoupling Forced Systems with Laplace Neural Networks
Bernd Zimmering, CecÃlia Coelho, Vaibhav Gupta +2
Modelling forced dynamical systems - where an external input drives the system state - is critical across diverse domains such as engineering, finance, and the natural sciences. In…
Evaluating Imputation Techniques for Short-Term Gaps in Heart Rate Data
Vaibhav Gupta, Maria Maleshkova
Recent advances in wearable technology have enabled the continuous monitoring of vital physiological signals, essential for predictive modeling and early detection of extreme physi…