Continuous Detection of Abnormal Heartbeats from ECG Using Online Outlier Detection
Published in Lossio-Ventura J., Muñante D., Alatrista-Salas H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898. Springer, Cham, 2019
Recommended citation: Lin Y., Lee B.S., Lustgarten D. (2019) Continuous Detection of Abnormal Heartbeats from ECG Using Online Outlier Detection. In: Lossio-Ventura J., Muñante D., Alatrista-Salas H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898. Springer, Cham https://doi.org/10.1007/978-3-030-11680-4_33
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.