3. Conclusions

The results verify the correlation between early motor & vocal features and infant neurodevelopment. Performance of classifiers show approximately 90% accuracy on a database of diagnosed babies. The results demonstrate the potential of neuromotor and vocal computerized analysis system as an assisting tool in early detection of developmental insults. We currently characterize and group specific features which are early signs of specific brain injuries. Ultimately this system can be widely used in remote clinics, leading to earlier diagnosis of developmental insults and early intervention.
