Integrated Memristor Network for Physiological Signal Processing
Abstract Humans are complex organisms made by millions of physiological systems. Therefore, physiological activities can represent physical or mental states of the human body. Physiological signal processing is essential in monitoring human physiological features. For example, non‐invasive electroen...
Main Authors: | Lei Cai, Lianfeng Yu, Wenshuo Yue, Yihang Zhu, Zhiyu Yang, Yuqi Li, Yaoyu Tao, Yuchao Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley-VCH
2023-06-01
|
Series: | Advanced Electronic Materials |
Subjects: | |
Online Access: | https://doi.org/10.1002/aelm.202300021 |
Similar Items
-
Overview of Memristor-Based Neural Network Design and Applications
by: Longcheng Ye, et al.
Published: (2022-07-01) -
Behavioral Modeling of Memristors under Harmonic Excitation
by: Elena Solovyeva, et al.
Published: (2023-12-01) -
Editorial: Advances in memristor and memristor-based applications
by: Jun Mou
Published: (2022-08-01) -
Generation of Multi-Lobe Chua Corsage Memristor and Its Neural Oscillation
by: Yue Liu, et al.
Published: (2022-08-01) -
Electronic and Photoelectronic Memristors Based on 2D Materials
by: Kai Tang, et al.
Published: (2022-04-01)