ECG Anomaly Detection Using Long Short-Term Memory based Recurrent Neural Networks

Plug R.B.F. (Ruud)

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Bachelor Informatica

The following thesis was written by a student in the 2018-2019 class of the Bachelor Informatica programme at Leiden University.

Thesis details

Title	ECG Anomaly Detection Using Long Short-Term Memory based Recurrent Neural Networks
Student	Plug R.B.F. (Ruud)
Programme	Bachelor Informatica
Year	2018-2019
Supervisors	Kosters, dr. W.A. (Walter) Kowalczyk, dr. W.J. (Wojtek)
Thesis	Open Thesis PDF

Citation details

Plug R.B.F. (Ruud), ECG Anomaly Detection Using Long Short-Term Memory based Recurrent Neural Networks, Thesis Bachelor Informatica, LIACS, Leiden University, 2019.