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publications

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

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: 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

talks

teaching

Teaching experience 1

Graduate and undergraduate course, University of Vermont, Department of Computer Science, 2016

First semester of doing teaching assistant.

Teaching experience 2

Undergraduate course, University of Vermont, Department of Computer Science, 2017

CS 125 was a new challenge for me.

Teaching experience 3

Undergraduate course, University of Vermont, Department of Computer Science, 2017

Continue working for CS 125 and CS 148.

Teaching experience 4

Graduate and undergraduate course, University of Vermont, Department of Computer Science, 2018

Last semester at University of Vermont as a teaching assistant.

Teaching experience 5

Undergraduate course, North Carolina State University, Department of Computer Science, 2018

First semester at North Carolina State University.

Teaching experience 6

Graduate course, North Carolina State University, Department of Computer Science, 2019

Second semester at North Carolina State University. Really excited to be the TA for a graduate level course.