Research graph
References from A Locally Adaptive Multi-Resolution Encoding Framework for Spiking Neural Network based ECG Beat Classification. Local targets link to admitted publications; unresolved targets remain external evidence.
Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware.
10.1166/jolpe.2018.1582 · 2018 · External reference
Ultra Low-Power and Real-time ECG Classification Based on STDP and R-STDP Neural Networks for Wearable Devices.
10.1109/tbcas.2019.2948920 · 2019 · External reference
Comparison of Artificial Neural Networks for Low-Power ECG-Classification System.
2020 · External reference
Energy efficient ECG classification with spiking neural network.
10.1016/j.bspc.2020.102170 · 2021 · External reference
A Novel Spiking Neural Network for ECG signal Classification.
10.46670/jsst.2021.30.1.20 · 2021 · External reference
MSPAN: A Memristive Spike-Based Computing Engine With Adaptive Neuron for Edge Arrhythmia Detection.
10.3389/fnins.2021.761127 · External reference
Building and training a deep spiking neural network for ECG classification.
10.1016/j.bspc.2022.103749 · 2022 · External reference
Arrhythmia Detection Using Spiking Variable Projection Neural Networks.
10.22489/cinc.2022.049 · 2022 · External reference
Neuromorphic Computing Based On Stochastic Spiking Reservoir for Heartbeat Classification.
10.5455/jjcit.71-1642596471 · External reference
Backpropagation With Sparsity Regularization for Spiking Neural Network Learning.
10.3389/fnins.2022.760298 · External reference
Accurate ECG Classification Based on Spiking Neural Network and Attentional Mechanism for Real-Time Implementation on Personal Portable Devices.
10.3390/electronics11121889 · 1889 · External reference
Electrocardiography Classification with Leaky Integrate-and-Fire Neurons in an Artificial Neural Network-Inspired Spiking Neural Network Framework.
10.3390/s24113426 · 2024 · External reference
Stochastic memristive devices for low cost learning of spatiotemporal signals in spiking neural networks.
10.1088/2631-8695/ad9a3e · 2024 · External reference
Review on spiking neural network-based ECG classification methods for low-power environments.
10.1007/s13534-024-00391-2 · 2024 · External reference
10.48550/arxiv.2410.17066
10.48550/arxiv.2410.17066 · External reference
CoLaNET - A Spiking Neural Network with Columnar Layered Architecture for Classification.
10.48550/arxiv.2409.01230 · External reference
10.1007/978-981-96-3942-7_8
10.1007/978-981-96-3942-7_8 · External reference
FTP: Filtered Temporal-Population fortime series encoding in Spiking Neural Network.
10.1016/j.icte.2025.07.006 · 2025 · External reference
A Systematic Review of ECG Arrhythmia Classification: Adherance to Standards, Fair Evaluation, and Embedded Feasibility.
10.48550/arxiv.2503.07276 · External reference
Unsupervised post-training learning in spiking neural networks.
10.1038/s41598-025-01749-x · 2025 · External reference
Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke.
10.1007/s12559-021-09975-x · 2022 · External reference
Hybrid Excitable Spiking Neural Network for Cardiovascular Disease Prediction.
10.1109/access.2023.3330439 · 2023 · External reference
High-performance deep spiking neural networks with 0.3 spikes per neuron.
10.48550/arxiv.2306.08744 · 2024 · External reference
Spiking Neural Networks and Their Applications: A Review.
10.3390/brainsci12070863 · 2022 · External reference
The impact of the MIT-BIH Arrhythmia Database.
10.13026/c2f305 · External reference
