Seminar on Monday, December 2

[Jan Kofron]

Dear all,

Let me invite you to another seminar in this semester that will take 
place *today* at 14:00 in S510 [1]. The seminar will be held by Adriana 
Jubera.

Please find the details of the talk below.

[1] https://d3s.mff.cuni.cz/seminar/

Thanks, best regards!
Jan


====
Title: Enhancing ECG Signal Classification with Recurrent Neural Network

Abstract: This work explores the application of recurrent neural 
networks (RNNs) in the analysis of electrocardiography (ECG) data, with 
a focus on detecting abnormal cardiac patterns. Using the MIT-BIH
Arrhythmia Database, two Long Short-Term Memory (LSTM) models are 
developed to classify ECG signals and identify anomalies. The first 
model is a basic LSTM, while the second incorporates an advanced 
architecture combining convolutional layers and an attention mechanism, 
enhancing the model’s ability to capture both spatial and temporal 
patterns. We compare the performance of these models in terms of 
accuracy, loss, and training time, and demonstrate that the enhanced 
model with attention and convolution outperforms the basic LSTM, 
achieving 96.82% accuracy compared to 95.42% for the basic model. 
Despite the additional computational cost, the improved model provides 
better generalization, making it a suitable choice for real-world 
applications in cardiac anomaly detection. This study highlights the 
potential of LSTMs in healthcare, particularly in automated ECG analysis 
for disease prediction.



-- 
Jan Kofron, Ph.D.
Associate Professor
Department of Distributed and Dependable Systems
Faculty of Mathematics and Physics
Charles University
Malostranske namesti 25
118 00 Praha 1, Czech Republic
Phone: +420 95155 4285
http://d3s.mff.cuni.cz/~kofron
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