Education Short Course: SC-3b: Biomedical Signal Analysis and Healthcare [Part 2]
Kai Keng ANG, Jung-jae KIM, Mahsa Paknezhad, Arvind Channarayapatna Srinivasa, Pavitra Krishnaswamy, Ramasamy Savitha, Agency for Science, Technology and Research, Singapore
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SPS
IEEE Members: $11.00
Non-members: $15.00Length: 02:07:09
Biomedical signal processing for healthcare is experiencing tremendous growth worldwide, and biomedical jobs are one of the fastest-growing career fields worldwide. This field is fundamental to the understanding, visualizing, and quantifying of medical images and bio-signals in clinical applications. With the help of artificial intelligence and machine learning techniques, disease diagnosis will be easier, faster, and accurate leading to significant development in medicine in general. The targeted audiences are senior-year undergraduate, postgraduate, engineers, and practitioners with some background in signal processing. The goal of this course is to help them develop basic skills in computational biomedical signal processing augmented with hands-on programming exercises, and help them to appreciate the considerations in developing practical solutions for this domain.