Swedha Sankaranarayanan

Swedha Sankaranarayanan is a doctoral candidate, part of the Signal Processing Systems (SPS) group of the Department of Electrical Engineering in the TU/e. She works on the automated interpretation of cardiotocograms (CTG) to monitor fetal response obtained by electrocardiography using signal processing and deep learning techniques. Such an automated interpretation can address low specificity in CTG interpretation that exists as of now and provide better information on the status of the fetus when the fetal response is non-reassuring. 

This project is part of HASTA (Healthy Ageing Starts with a healThy stArt) which aims at home-based perinatal and neonatal care.

"Scientific advancements must be catered towards all demographics of society."

Swedha Sankaranarayanan received her Master of Science (MSc) degree in Electrical Engineering, with a specialization in Signal Processing Systems, from Eindhoven University of Technology (TU/e) in 2023. Following her MSc degree, she joined the TU/e as a doctoral candidate working on improving the automated interpretation of Cardiotocograms (CTG) for fetal monitoring under the supervision of Rik Vullings.

She did her undergraduate studies in Electronics and Communication Engineering at the National Institute of Technology, Trichy, India in 2021. 

• TU/e
• Nemo Healthcare
• Eindhoven MedTech Innovation Centre