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。
☆19Updated 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:
- To do a deep learning project on ecg. I use pytorch to reproduce the traditional CNN models include LeNet AlexNet ZFNet VGG GoogLeNet Res…☆107Updated last year
- The Cross-modal SleepTransformer is a deep learning model designed for sleep stage classification based on multimodal physiological signa…☆24Updated last year
- ECG Classification, Continuous Wavelet Transform, CWT, Convolutional Neural Network, CNN, Arrhythmia, Heartbeat classification☆82Updated 4 years ago
- The code for paper "A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification"☆29Updated 2 years ago
- ☆57Updated 4 years ago
- One of the first implementations of Grad-CAM ++ for time series / 1d signal.☆18Updated 2 years ago
- Case-based interpretable deep learning for ECG classification. This code implements ProtoECGNet from the following paper: "ProtoECGNet: …☆19Updated last month
- Source code repository for the study: "Uncovering ECG Changes during Healthy Aging using Explainable AI"☆13Updated last year
- ☆10Updated 9 months 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
- Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network☆43Updated 7 months ago
- 1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.☆121Updated 4 years ago
- ECG denosing method using transformer-based unet.☆22Updated last year
- Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification☆108Updated 4 years ago
- ☆31Updated 4 years ago
- [Biomedical Signal Processing and Control] ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional t…☆53Updated 6 months ago
- a ecg classfier based on PTB-XL database☆37Updated 4 years ago
- ☆23Updated 3 years ago
- SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging☆57Updated 4 years ago
- In this project we compared 5 models from GAN family in synthetic single heartbeat generation☆20Updated 2 years ago
- Data:qtdb Model： LSTM Env：python3+pytorch☆35Updated 6 years ago
- This is the implementation for the paper "Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learnin…☆12Updated 3 years ago
- SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection☆28Updated last year
- ☆16Updated last year
- Codebase for P2E-WGAN: ECG Waveform Synthesis from PPG with Conditional Wasserstein Generative Adversarial Networks - ACM SAC 2021☆30Updated 4 years ago
- Generate FECG from MECG and MECG from FECG using CycleGAN.☆20Updated 3 years ago
- A list of papers for sleep stages classification using machine learning/deep learning.☆94Updated 3 years ago
- Implementation of paper: SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification☆12Updated 5 years ago
- Usually for ECG signal, the frequency range over 80Hz is noise. So first, we need to remove this high frequency part. Next, in ECG signal…☆15Updated 7 years ago
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆12Updated 2 years ago