Physical reservoir computing with emerging electronics
Physical reservoir computing is a form of neuromorphic computing that harvests the dynamic
properties of materials for high-efficiency computing. A wide range of physical systems can …
properties of materials for high-efficiency computing. A wide range of physical systems can …
[HTML][HTML] Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey
Artificial Intelligence is extensively applied in heartcare to analyze patient data, detect
anomalies, and provide personalized treatment recommendations, ultimately improving …
anomalies, and provide personalized treatment recommendations, ultimately improving …
Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning
Common artefacts such as baseline drift, rescaling, and noise critically limit the performance
of machine learning-based automated ECG analysis and interpretation. This study proposes …
of machine learning-based automated ECG analysis and interpretation. This study proposes …
An RNN-Bi LSTM based Multi Decision GAN Approach for the Recognition of Cardiovascular Disease (CVD) from Heart Beat Sound: A Feature Optimization Process
The cardiovascular system is responsible for carrying the blood along with nutrition and
oxygen throughout the body. This system consists of heart, blood, and blood vessels. The …
oxygen throughout the body. This system consists of heart, blood, and blood vessels. The …
Full-Analog Reservoir Computing Circuit Based on Memristor With a Hybrid Wide-Deep Architecture
L Chen, X Wang, C Yang, Z Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reservoir computing (RC) contains two significant variants: wide RC and deep RC. The
hybrid wide-deep architecture absorbs their strengths with a powerful parallel processing …
hybrid wide-deep architecture absorbs their strengths with a powerful parallel processing …
[HTML][HTML] Spontaneous muscle activity classification with delay-based reservoir computing
Neuromuscular disorders (NMDs) affect various parts of a motor unit, such as the motor
neuron, neuromuscular junction, and muscle fibers. Abnormal spontaneous activity (SA) is …
neuron, neuromuscular junction, and muscle fibers. Abnormal spontaneous activity (SA) is …
Neuromorphic system for cardiovascular disorders
SR Goyal - Primer to Neuromorphic Computing, 2025 - Elsevier
Cardiovascular disorder (CVD) is one of the major causes of global death. The continuous
monitoring of biological signals for a patient [such as electrocardiograph (ECGs)] can reduce …
monitoring of biological signals for a patient [such as electrocardiograph (ECGs)] can reduce …
Breaking Implicit Assumptions of Physical Delay-Feedback Reservoir Computing
T Gan - 2023 - etheses.whiterose.ac.uk
The Reservoir Computing (RC) paradigm is a supervised machine learning scheme using
the natural computational ability of dynamical systems. Such dynamical systems incorporate …
the natural computational ability of dynamical systems. Such dynamical systems incorporate …
A Physical Reservoir Computing Processor for ECG-to-PCG Signals Prediction
An electrocardiogram (ECG) is a medical test that records the electrical activity of the heart
over a period of time. This non-invasive and painless test makes ECG an essential tool in …
over a period of time. This non-invasive and painless test makes ECG an essential tool in …
A Physical Reservoir Computing Model Based on Volatile Memristor for Temporal Signal Processing
Reservoir computing has emerged as a practical paradigm of implementing neural network
algorithms on hardware for high-efficient computing. With the concept of reservoir …
algorithms on hardware for high-efficient computing. With the concept of reservoir …