Where Two Disciplines Meet
Artificial intelligence and biomedical engineering represent one of the most exciting frontiers in modern healthcare technology. Their convergence has the potential to transform every aspect of healthcare delivery, from diagnosis to treatment.
AI-Powered Biosignal Analysis
When biosignal data (EEG, EMG, ECG, EOG) is analyzed through traditional methods, subtle patterns invisible to the human eye may go undetected. AI algorithms can:
- Detect pre-seizure markers in EEG signals before clinical onset
- Predict muscle fatigue levels from EMG signal patterns
- Classify cardiac arrhythmia types from ECG recordings
- Automatically analyze sleep stages from EOG signals
AI at STARGE
At STARGE, we combine our expertise in biomedical engineering and artificial intelligence to develop innovative solutions. Biosignal data collected through BioVector is transformed into meaningful insights by our AI algorithms.
Our Nefes project uses AI-powered personalized cessation programs to analyze user behavior patterns, delivering the most effective smoking cessation strategies.
Visit our Projects page to learn more about our work.