Research
In recent years the dream of medical diagnostics at home environment settings has become feasible due to recent technology advances in machine learning techniques, and seamless computational efficient and miniature sensors with more reliable connectivity.
The main focus of the lab is to exploit existing daily life resources like smart watch, tablet, video camera, and wi-fi radiation, to extract features that can be used for continuous monitoring of medical condition, and assist in medical diagnostics, and in planning treatment plan. In addition, the lab tries to develop and deploy new sensors modalities that can be used at home environment during daily life living, and to tailor state of the art machine learning techniques to extract biomarkers to different diseases.
The advanced sensing and analysis is aim to advance the medical care, and optimize personal treatment efficiency as part of the field of precision medicine. This lab outputs is aimed to be a decision support tools to enable continuous monitoring of patient condition, more accurate and frequent diagnosis, and enable optimize treatment plan while minimizing medical stuff errors
The main ongoing research projects in the lab are:
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- Continuous evaluation of neurological diseases severity (Parkinson, Essential tremor, and dementia) at home environment settings using different sensing modalities (video, inertial sensors, EEG)
- ADHD and Autism assessment with different sensing modalities (video, eye tracker, and EEG)
- Personality characterization from daily life accessories usage
- Optimization of cancer treatment and infectious diseases diagnostics (Covid-19)
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Additional projects
- Explore Creativity processes in art and sciences (with collaboration of HIT design school)
- Brain inspired AI
