Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Synthesis of standard 12-lead electrocardiograms using two dimensional
  generative adversarial network   This paper proposes a two-dimensional (2D) bidirectional long short-term
memory generative adversarial network (GAN) to produce synthetic standard
12-lead ECGs corresponding to four types of signals: left ventricular
hypertrophy (LVH), left branch bundle block (LBBB), acute myocardial infarction
(ACUTMI), and Normal. It uses a fully automatic end-to-end process to generate
and verify the synthetic ECGs that does not require any visual inspection. The
proposed model is able to produce synthetic standard 12-lead ECG signals with
success rates of 98% for LVH, 93% for LBBB, 79% for ACUTMI, and 59% for Normal.
Statistical evaluation of the data confirms that the synthetic ECGs are not
biased towards or overfitted to the training ECGs, and span a wide range of
morphological features. This study demonstrates that it is feasible to use a 2D
GAN to produce standard 12-lead ECGs suitable to augment artificially a diverse
database of real ECGs, thus providing a possible solution to the demand for
extensive ECG datasets.

22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys