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Automated analysis of routine ECG detects cardiac problems Researchers say their method shows “unprecedented accuracy in the interpretation of numerous ECG results and delivers a diagnosis of different cardiac disorders simultaneously.” Prof. Yael Yaniv and her research team. Photo courtesy of Technion Spokesperson’s Office Technion-Israel Institute of Technology researchers have developed a way to detect heart problems based on routine electrocardiography (ECG). They have also built a database and an analytic tool to provide an automated diagnosis of eight common types of heart disease...

Eisenstat, who joined the Yale faculty in 1971, also served as an associate editor of the Journal of the ACM and served as a member of the editorial board of the SIAM Journal on Matrix Analysis and Applications. His major research interests included numerical linear and nonlinear algebra, direct and iterative methods for solving sparse linear systems, and parallel computing.  "Stan held us all to a very high standard, whether through naming inconvenient truths in faculty meetings, or through his commitment to excellence in the classroom,” said Jeffrey Brock, Dean of the School of Enginee...