TY  - JOUR
AU  - Groun, Nourelhouda
AU  - Villalba Orero, María
AU  - Casado Martín, Lucía
AU  - Lara Pezzi, Enrique
AU  - Valero, Eusebio
AU  - Garicano Mena, Jesús
AU  - Le Clainche, Soledad
PY  - 2025
DO  - 10.1016/j.rineng.2025.104143
SN  - 2590-1230
UR  - https://hdl.handle.net/20.500.14352/117897
T2  - Results in Engineering
AB  - In this work, a data-driven, modal decomposition method, the higher order dynamic mode decomposition (HODMD), is combined with a convolutional neural network (CNN) in order to improve the classification accuracy of several cardiac diseases using...
LA  - eng
M2  - 1
PB  - Elsevier
KW  - Deep learning
KW  - Higher order dynamic mode decomposition
KW  - Classification
KW  - Data augmentation
KW  - Echocardiography
TI  - A novel data augmentation tool for enhancing machine learning classification: A new application of the higher order dynamic mode decomposition for improved cardiac disease identification
TY  - journal article
VL  - 25
ER  -