商品簡介
This book serves as a current resource for Photoplethysmogram (PPG) signal analysis using MATLAB®. This technology is critical in the evaluation of medical and diagnostic data utilized in mobile devices. Information and methodologies outlined in the text can be used to learn the empirical and experimental process (including data collection, data analysis, feature extractions, and more) from inception to conclusion. This book also discusses how introduced methodologies can be used and applied as tools that will teach the user how to validate, test, and simulate developed algorithms before implementing and deploying the algorithms on wearable, battery-driven, or point-of-care devices.
作者簡介
Dr. Mohamed Elgendi is a senior IEEE member and currently a Mining for Miracles Postdoctoral Fellow at the University of British Columbia and BC Children's and Women's Hospital in Vancouver, Canada. In addition to his 10+ years of experience in the field of data analysis, he received training on Big Data Analysis and Leadership in Education from MIT. Elgendi's experience in the area of data analysis and visualization includes his work in Global Health with the PRE-EMPT Initiative (funded by the Bill and Melinda Gates Foundation), brain activity sonification and visualization at the Institute for Media Innovation at Nanyang Technological University (Singapore), and non-invasive diagnostics at the University of Alberta (Canada) and Charles Darwin University (Australia). Elgendi specializes in bridging the areas of engineering, computer science, psychology, neuroscience and medicine for knowledge translation.
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