Deep Learning Based Automatic Detection Algorithm of Atrial Fibrillation Implemented on FPGA

• Published in: 2024 IEEE 5th International Conference on Pattern Recognition and Machine Learning (PRML) pp. 330 - 334
• Main Authors: Tianyi, Huang, Yuchen, Jiang, Yijing, Wang, Qinghui, Lyu, Dakun, Lai
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19.07.2024
• Subjects: Accuracy; Atrial fibrillation; Convolutional neural networks; deep learning; Field programmable gate arrays; FPGA; Hardware; Neural networks; Optimization; Paroxysmal atrial fibrillation; Pipelines; Sensitivity; Training

Paroxysmal atrial fibrillation (PAF) is one of the most common arrhythmic diseases in clinical practice. The traditional method of PAF diagnosis is achieved by manual analysis of the patient's electrocardiogram by the doctor, which leads to significant manpower consumption and potential misdiag...