AI-Driven Cognitive Assessment in MCI Using Sleep and Daytime Activity Monitoring
This project assesses cognitive status in individuals with Mild Cognitive Impairment (MCI) by analyzing sleep patterns and daytime activities through nonintrusive, continuous monitoring. Utilizing in-ear EEG, overnight wristbands, and wearable sensors in therapeutic facilities, the system integrates edge computing, AI, cameras, and sensors to track social interactions and movements in real-time. By providing a cost-effective, passive monitoring solution, this research aims to enhance understanding of MCI and support data-driven, targeted interventions.
Related Publications
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Hegde, C., Kiarashi, Y., Levey, A.I., Rodriguez, A.D., Kwon, H. and Clifford, G.D., 2024. Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing. arXiv preprint arXiv:2408.10442. Link
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Kiarashi, Y., Saghafi, S., Das, B., Hegde, C., Madala, V.S.K., Nakum, A., Singh, R., Tweedy, R., Doiron, M., Rodriguez, A.D. and Levey, A.I., 2023. Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology. Sensors, 23(23), p.9517. Link
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Hegde, C., Kiarashi, Y., Rodriguez, A.D., Levey, A.I., Doiron, M., Kwon, H. and Clifford, G.D., 2024. Indoor Group Identification and Localization Using Privacy-Preserving Edge Computing Distributed Camera Network. IEEE journal of indoor and seamless positioning and navigation. Link
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Kiarashi, Y., Hedge, C., Madala, V.S.K., Nakum, A., Singh, R., Tweedy, R., Clifford, G.D. and Kwon, H., 2023. Indoor localization using bluetooth and inertial motion sensors in distributed edge and cloud computing environment. arXiv preprint arXiv:2305.19342. Link
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Kwon, H., Hegde, C., Kiarashi, Y., Madala, V.S.K., Singh, R., Nakum, A., Tweedy, R., Tonetto, L.M., Zimring, C.M., Doiron, M. and Rodriguez, A.D., 2023. A feasibility study on indoor localization and multi-person tracking using sparsely distributed camera network with edge computing. IEEE Journal of Indoor and Seamless Positioning and Navigation. Link