Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals

By Jen Hong Tan, Yuki Hagiwara, Winnie Pang, I. Lim, Shu Lih Oh, M. Adam, Ruyan Tan, Ming Chen, U. Acharya. Comput. Biol. Medicine, 2018

331 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/ff6117f0c17e725f46a99e63c567fe4800c52b58

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. T. Hong
2. Rajendra Acharya
3. Shu Lih
4. Oliver Faust
5. Yuki Hagiwara

In Cognitive Neuroscience

1. Oliver Faust
2. Yuki Hagiwara

Citations in the corpus

• A review on deep learning methods for ECG arrhythmia classification (2020, unknown): “, 2018), (Limam & Precioso, 2017), (Wang & Zhou, 2019), (Tan et al., 2018)”
• Deep learning for healthcare applications based on physiological signals: A review (2018, background): “, 2017 [130] Coronary artery disease signal identification LSTM, CNN Physionet databases: Fantasia (for Normal) and St.”