Open access
Sep 2026
Memristor-based echo state network for ECG classification: optimizing accuracy and efficiency with different architectures
Three memristor-based echo state network (MESN) models for ECG classification are proposed, demonstrating the potential of ESN as a lightweight yet powerful approach for ECG classification, making it suitable for integration into wearable and IoT-based healthcare systems.
Md Shabaz Ansari, Sandeep Soni, Hemkant Nehete et al.
· Cognitive Neurodynamics · 0 citations