NABNet
importedsoftware/nabnet
NABNet: A Nested Attention-guided BiConvLSTM Network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG Signals
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Sakib1263/NABNet
- Documentation
- unknown
- Tags
- abp · apg · autoencoder · bp · cnn · deep-learning · deep-supervision · ecg
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- MD-ViSCoabp · ecg
MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion. IEEE JBHI 2026.
- rppgbp
Benchmark Framework for fair evaluation of rPPG
- ecg-mit-bihcnn · ecg
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,…
- ECGTransFormcnn · ecg
[Biomedical Signal Processing and Control] ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer
LDCNN: A new arrhythmia detection technique with ECG signals using a linear deep convolutional neural network
- lstm-qrs-detectorcnn · ecg
CNN-LSTM based QRS detector for ECG signals
- api.github.com/repos/Sakib1263/NABNetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-03-14, 52 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/57.json→ .entries["nabnet"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.