There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Thiri Wai |
| Institution: | National Taiwan University |
| Department: | Department of Computer Science and Information Eng |
| Country: | |
| Proposed Analysis: | We have been studying how to use deep learning approaches for classifying HC, MCI and AD based on speech and recently we have published the paper "Contrast-enhanced Automatic Cognitive Impairment Detection System with Pause-encoded" at 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). As further studies, we have extended our research to study how we could improve our performance through longitudinal speech data. We aimed to propose an assessment system for the early detection of Alzheimer's disease (AD), based on longitudinal speech data with the potential for the system to be further tested on implementation to the intelligent robot (Carebots) to help the elderly caring. Since the ADNI dataset is widely used for AD detection, especially for a longitudinal study, we believe that the ADNI dataset will help study the performance of our developed system. |
| Additional Investigators |
