Determination of Safety Limits against Cyber Threats in Neuromodulation Devices using Machine Learning, Brain Phantoms, and Neural Pathways

Topic

• Multi-source Machine Learning for Healthcare

Grant

• Commonwealth Cyber Initiative (CCI) 2021
• Funding amount: $200,000
• Responsible for: $65,000

Objectives

• Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using Deep Learning

Team

• PI: Ravi Hadimani
• VT PI: Hoda Eldardiry
• Co-PI: Jayasimha Atulasimha
• PhD Student: Jiaying Gong
• PhD student: Mohannad Tashli
• PhD student: Muhammad Sabbir Alam

Publications

• Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network – IEEE EMBS Conference on Neural Engineering (NER) 2023
• Prediction of Stimulation Strength of Transcranial Magnetic Stimulation in the Brain with Deep Encoder-Decoder Convolutional Neural Network – Bulletin of the American Physical Society (APS) 2023
• Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network – Preprint 2022