Xinbo-Liu / Siamese-Neural-Networks-for-ECG-signalLinks
本研究基于孪生网络和N-way K-shot学习策略，创新提出了一种结合transformer的心电信号分类架构，命名 为SMC-Net（Siamese Meta-learning Contrastive Neural Network）。该模型通过孪生网络的结构特性和元学习的策略，显著提升了对新类别心电图模式的快速适应性。在公开的SPH数据集上，对26种心脏疾病的心电图信号进行了全面评估。通过细致的实验设计，本研究全面考察了模型在准确率、敏感性、特异性及F1分数等关键性能指标上的表现，其中在小样本测试环境中，模型分别达到了90.91%、100%、95.24%和95%的最高性能表现。结果显示，尽管面临样本数量的限制，SMC-Net模型依然展示了出色的准确性和优良的泛化能力。
☆18Updated last year
Alternatives and similar repositories for Siamese-Neural-Networks-for-ECG-signal
Users that are interested in Siamese-Neural-Networks-for-ECG-signal are comparing it to the libraries listed below
Sorting:
- The Cross-modal SleepTransformer is a deep learning model designed for sleep stage classification based on multimodal physiological signa…☆20Updated 11 months ago
- ☆10Updated 6 months ago
- The code for paper "A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification"☆27Updated 2 years ago
- Imbalanced MIT-BIH dataset is augmented with the generated beats by WGAN-GP and AC-WGAN-GP to improve the classification metrics.☆32Updated 2 years ago
- ☆55Updated 4 years ago
- One of the first implementations of Grad-CAM ++ for time series / 1d signal.☆17Updated 2 years ago
- ECG Classification, Continuous Wavelet Transform, CWT, Convolutional Neural Network, CNN, Arrhythmia, Heartbeat classification☆78Updated 4 years ago
- This is a PyTorch implementation of "Multi-label Classification of Electrocardiogram with Modified Residual Networks" paper.☆18Updated 4 years ago
- ☆32Updated 4 years ago
- Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network☆40Updated 5 months ago
- To do a deep learning project on ecg. I use pytorch to reproduce the traditional CNN models include LeNet AlexNet ZFNet VGG GoogLeNet Res…☆103Updated last year
- ECG denosing method using transformer-based unet.☆19Updated 11 months ago
- [Biomedical Signal Processing and Control] ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional t…☆49Updated 4 months ago
- Source code repository for the study: "Uncovering ECG Changes during Healthy Aging using Explainable AI"☆13Updated last year
- 1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.☆117Updated 4 years ago
- a ecg classfier based on PTB-XL database☆37Updated 3 years ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
- Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification☆107Updated 3 years ago
- Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Class…☆43Updated 3 years ago
- In this project we compared 5 models from GAN family in synthetic single heartbeat generation☆20Updated 2 years ago
- MVMTnet - Multi-variate Multi-modal Transformer network implementation for multi-class classification of Cardiac abnormalities using clin…☆17Updated 2 years ago
- ☆23Updated 4 years ago
- Implementation of paper: SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification☆13Updated 5 years ago
- codes for paper: ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks☆14Updated 2 years ago
- SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection☆26Updated last year
- ☆14Updated last year
- Data:qtdb Model： LSTM Env：python3+pytorch☆34Updated 6 years ago
- Deep Learning on ECG, the First place in the PhysioNet/CinC Challenge 2017 (F1=0.83)☆41Updated 5 years ago
- Classify ECG signals into predefined categories based on heartbeat abnormality by transforming time series to images☆23Updated 5 years ago
- Code for KDD 2025 paper "FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification"☆14Updated 2 months ago