Engineering and TechnologyNature Communications
A neuromorphic physiological signal processing system based on VO₂ memristor for next-generation human-machine interface
R. Yuan, P. J. Tiw, et al.
Physiological signal processing is advanced by a VO₂ memristor–based neuromorphic system that encodes sparse, high-fidelity spikes and implements compact LIF/ALIF neurons within an LSNN, achieving 95.83% and 99.79% for arrhythmia classification and epileptic seizure detection. Research conducted by Rui Yuan, Pek Jun Tiw, Lei Cai, Zhiyu Yang, Chang Liu, Teng Zhang, Chen Ge, Ru Huang, and Yuchao Yang.
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