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Signal Processing Leads to New Clinical Medicine Approaches: Innovative Methods Promise Improved Patient Diagnoses and Treatments [Special Reports]

Popular consumer and business technologies, such as smartphones, tablets, wearable devices, and sophisticated photoimaging-all driven or supported by signal processing-are leading to a generation of powerful new diagnostic tools designed to help physicians working in clinical medicine. In Rochester, New York, for instance, a team of engineers and clinicians at the Rochester Institute of Technology (RIT) and the University of Rochester Medical Center (URMC) is developing a video-based smartphone/tablet-based health app (Figure 1) that is designed to serve as a clinical tool to assess atrial fibrillation (AF), a heartrhythm disorder that afflicts millions of people worldwide. Co-project leaders are Gill Tsouri, an associate professor of electrical engineering in RIT's Kate Gleason College of Engineering, who is developing both the app and its video system algorithm, and Jean Philippe Couderc, a biomedical engineer and assistant director of the University of Rochester Heart Research Follow-Up Program Lab, who will head the clinical trials.