“Low-Power Medical Signal Processing”
Dr. Randy Cole, Texas Instruments
Sponsored by the Dallas Chapter of the IEEE Signal Processing Society
Many medical and fitness applications can benefit from digital signal processing that is well within the capabilities of inexpensive, low-power processors, including the processing of signals from phonocardiography (stethoscopes), electrocardiography (EKG), and electroencephalography (EEG). Types of processing include noise reduction, signal analysis and display, signal separation and filtering, and processing for newly developed sensors such as MEMS accelerometers. In addition to clinical usage, inexpensive, low-power signal processing can help people stay healthy by monitoring heart rate and respiration during exercise and body motion while running and going about daily life. This talk will describe signal processing for digital stethoscopes, robust heart rate detection for fitness equipment, detection of seizure onset for implants, and monitoring vital signs and body motion using a 3-axis MEMS accelerometer.
Dr. Cole has managed digital audio and multimedia R&D at Texas Instruments since joining the company in 1995, also helping establish TI’s portable audio business groups. He was elected a distinguished member of the Technical Staff in 2001. He is currently consumer electronics co-chair for the Copy Protection Technical Working Group, a multi-industry discussion group. He received a PhD in electrical engineering and computer science from the University of Utah in 1972, and he has worked in the areas of digital audio, speech coding, video coding and geophysical signal processing. As a project leader at the University of Southern California’s Information Sciences Institute, he led a group that did pioneering work in packet voice and packet video. In 1975 he co-founded Soundstream, the first US digital audio recording company. He also worked as a principal systems engineer for Citicorp/TTI, where he developed advanced technology for financial transaction terminals, and he later directed speech research for Echo Audio, where he developed a speech coder for Internet applications. He is a member of IEEE and the AES.