Note
If you have any contribution, feel free to send us a PR. thank you.
- Pre-Processing
- Blood Pressure
- Arrhythmia
- SSVEP / BCI
- Sleep scoring
- Electromyogram
- Electrohysterogram
- Electrogastrogram
- Electrooculogram
- Magnetoencephalogram
- Magnetocardiogram
- Phonetics / Speech
- CT / MRI / fMRI
| Title | Link | Code (MATLAB) | Code (Python) |
|---|---|---|---|
| Adaptive threshold method for the peak detection of photoplethysmographic waveform | ➡️ | ➡️ | ➡️ |
| Title | Link | Code |
|---|---|---|
| Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring | ➡️ | - |
| Improvements in Indirect Blood Pressure Estimation via Electrocardiography and Photoplethysmography | ➡️ | - |
| Hypertension Assessment via ECG and PPG Signals: An Evaluation Using MIMIC Database | ➡️ | - |
| Systolic blood pressure estimation using PPG and ECG during physical exercise | ➡️ | - |
| End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism | ➡️ | - |
| Title | Link | Code |
|---|---|---|
| Automatic classification of heartbeats using ECG morphology and heartbeat interval features | ➡️ | - |
| Heartbeat classification using disease-specific feature selection | ➡️ | - |
| Real-time patient-specific ECG classification by 1-D convolutional neural networks | ➡️ | - |
| ECG arrhythmia classification using a 2-d convolutional neural network | ➡️ | - |
| A robust deep convolutional neural network with batch-weighted loss for heartbeat classification | ➡️ | - |
More...
| Title | Link | Code |
|---|---|---|
| On the quantification of SSVEP frequency responses in human EEG in realistic BCI conditions | ➡️ | - |
| Effectiveness of Flickering Video Clips as Stimuli for SSVEP-based BCIs | ➡️ | - |
| Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition | ➡️ | - |
| EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs) | ➡️ | - |
| Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition | ➡️ | - |