AI for biomedical signal processing applications

Overview

Artificial Intelligence, or AI, is powering a massive shift in the roles that computers play in our personal and professional lives. Techniques like machine learning and deep learning are quickly becoming mainstream technologies that can analyze large volumes of data and potentially unlock insights especially in biomedical applications.

Machine learning techniques have the potential to help improve patient care and clinical outcomes. Many leading organizations are looking to strengthen their competitive advantage using these capabilities. The big question is: are you in a position to fulfill that expectation, to transform your research, your products and your business using AI, or do you think AI to be yet another buzz word that is going around?

In this webinar, we will demonstrate a real-world medical application of an ECG analysis and show how you can use MATLAB & Simulink to train and verify AI models. You will learn some basic and advanced techniques to fully utilize the benefits of machine learning in biomedical signal analysis.

Highlights

• Training and verifying AI models for ECG analysis
• Using wavelets for advanced signal analysis with deep learning
• Integrating preprocessing and AI models into Simulink
• Generating production code for embedded systems

About the Presenter

Sammit Jain | Application Engineer | MathWorks

Sammit is an AI Application Engineer at MathWorks. He works closely with engineers and researchers – focusing on AI development all the way to deployment. In the last 5 years at MathWorks he has combined his experience in software development, Machine Learning, IPCV and Natural Language Processing (NLP) to solve complex multidisciplinary problems across industries like Medical devices, Energy Production, and Finance. Prior to joining MathWorks, he worked on bioimage analysis as a research fellow at Institut Pasteur, Paris. He has a Master’s degree in Mathematics and a Bachelor’s degree in Electrical and Electronics Engineering from BITS Pilani – Goa.

Nikita Pinto | MathWorks

Nikita Pinto is the Artificial Intelligence Academic Liaison for Asia-Pacific at MathWorks. She is interested in understanding AI techniques and applying them to scientific and engineering problems. She works with educators, researchers, and students to help them incorporate AI along with their domain expertise. She has a Master's degree in Ocean Engineering from IIT Madras, where she worked on applying statistical signal processing to underwater acoustics. She has worked on interdisciplinary projects with international collaborators, Government research labs, and independent researchers.