Programs
- M. Tech. in Automotive Engineering -
- Fellowship In Interventional Pulmonology and Pulmonary Critical care - Fellowship
Our project aims to develop and implement an innovative automated seizure detection system tailored for ICU use. This project addresses a critical gap in ICU patient care by providing a reliable and efficient solution for non-convulsive seizure detection. The system’s potential to benefit a substantial proportion of ICU patients at risk of seizures underscores its significance in enhancing patient outcomes and optimising resource utilisation in critical care settings.
By automating seizure detection, our project has the potential to significantly reduce the neurological consequences of non-convulsive seizures, improve patient survival rates, and enhance the quality of care delivered in ICUs worldwide. It represents a transformative step in the intersection of healthcare and technology, aligning with the broader goal of advancing critical care practices.
Publication Details
Proposed Future Work Details
Our future work would explore the following:
