My area of interest:
├── [Biomedical Signal Processing] ( from embeded do Machine learning solutions)
│ ├── ECG DSP -> ISO EN 60601-2-47,-2-27, -2-25 +ISO 14971
│ ├── EEG DSP -> events/feature extraction
│ ├── other: SPO2,blood glucose
│
├─── [Control Design and process simulation]
| ├──Advanced control algorithms
| ├──identification & optimization
| ├──Phsical process modeling -> Mechanics, mechatronics systems, Vibration analysis, dynamic simulations
| ├──Kalman Filter
|
├─── [DSP and IP procesing]
| ├─data acquisition and analysis,statistical and spectral analysis
| ├── filters design and simulations
| ├── object feature extraction, detection and tracking
| ├─ audio processing
|
├─── [Machine learning and Deep learning] (Supervised vs Unsupervised methods)
| ├─ Time series forecasting
| ├─ classification, feature extraction
| ├─ RBF and MLP neuron net
|
├─── [ mechatronic and embedded systems ]
| ├─ ESP32 + IOT (mostly DSP, Control algorithms, neural networks (mlp, rbf) in indetification and control adaptation algorithms)
└──
Below you will find some example screens shots (some commercial projects not presented):
seizure episodes detection and attack predictions |
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Lidar Data/Immage segmentations - feature image segmentation for lakes, rivers, roads ( length, area calculation) |
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labview app for keller pressure sensors testing Modbus RTU, noise filters design, full settings and sensor control |
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ECG WIDGET MONITOR (in progress) - Hi/Low BPM color alarm intidaction - sinlge/muliple ECG lead plot selection |
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