Publications

Continuous Detection of Abnormal Heartbeats from ECG Using Online Outlier Detection

Published in Proceedings of the 5th International Conference on Information Management and Big Data, Communications in Computer and Information Science, Springer, 2018

A prototype system has been built to test the feasibility and efficacy of detecting abnormal ECG segments from an ECG data stream targeting a mobile device, where data are arriving continuously and indefinitely and are processed online incrementally and efficiently without being stored in memory.

Recommended citation: Yuhang Lin, Byung Suk Lee, and Daniel Lustgarten, “Continuous Detection of Abnormal Heartbeats from ECG Using Online Outlier Detection”, Proceedings of the 5th International Conference on Information Management and Big Data, Lima, Peru, 2018 http://yuhang-lin.github.io/files/simbig-2018-ecg.pdf