Dr. Ali Bahrami of Bionous

Abstract—In this talk, I will present a novel method for estimating vitals such as respiratory rate, blood pressure, and blood sugar in real-time by extraction of vitals signals from the 3D photoplethysmogram (PPG) obtained from Bionous PHware Clip. This talk will present PHware Ecosystems and how various vital signs signals processed by Sensor Cloud AI and a proprietary machine-learning algorithm to estimate noninvasively major vital signs. Multiple features will be extracted from PPG using ensembles of algorithms. PHware has been tested on over 1800 volunteers including healthy and unhealthy with chronic conditions during 2018-19.

Biography:

BIO - Ali Bahrami Ph.D. Ali Bahrami received his BS degree in Math and Physics from Wesleyan University, his MS in City planning from the University of Nebraska College of Architecture and Master of Science in Computer Science from University of Nebraska and his Ph.D. from Missouri S&T with an emphasis in Information Science. He holds 18 US patents and 5 pending patents in context-aware systems, information integration, machine learning, and adaptive workflow modeling. He is the author of an object-oriented system development textbook, two professional books in AI and computer graphics, over 60 tier 1 journal papers, refereed proceedings, and 8 book chapters. He left Boeing Research and Technology in 2016 to start Bionous and work on PHware project. Ali is the chief architect and developer of Bionous PHware hardware and software.

Email:

Address:11335 NE 122nd Way, Suite 105, , Kirkland, Washington, United States, 98034