Flower Automata Pattern-Based Discrimination of Fibromyalgia From Control Subjects Using Fusion of Sleep EEG and ECG Signals

Electroencephalogram (EEG) and electrocardiogram (ECG) signals provide vital insights into brain and heart activity and are widely used in automated medical diagnostics. This study introduces a novel, multimodal fibromyalgia detection system developed by the fusion of EEG and ECG signals recorded du...

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Principais autores:	Prabal Datta Barua, Makiko Kobayashi, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Jose Kunnel Paul, Thomas Iype, U. R. Acharya
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Access
נושאים:	Attention maximum pooling automata-based dynamic patterns EEG and ECG signal classification fibromyalgia detection flower automata pattern intersection-based feature selection
גישה מקוונת:	https://ieeexplore.ieee.org/document/11014066/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!