Title: Machine Learning-powered Wearables for Adaptive Electrical Vestibular Stimulation Balance Therapy for Older Adults at Home Authors: Abdul Aziz, Patrick Do, Tanvi Kandepuneni, Josh M Roper, Sameer Dhamne, John D Ralston, Deepak Ganesan, VP Nguyen
Title: AI-Based Visual Assessment App for At-Home Monitoring of Older Parkinson’s Disease Patients Authors: Hamed Tabkh, Mona Azarbayjani
Title: Using Light Exposure to Improve Sleep and Circadian Health for People with Alzheimer’s Disease Authors: Erik Page, William Huang, Dave Harris, Hank Ibser
Jon Dekar, DESIN LLC, Zackory Erickson, CMU Robotics Institute. DESĪN LLC will enhance its existing Obi assistive feeding robot with AI-driven attention monitoring and redirection capabilities to support self-feeding in individuals with AD/ADRD who struggle with inattention. The project aims to demonstrate technical feasibility and clinical utility in long-term care settings, ultimately reducing caregiver burden and improving quality of life for affected individuals.
Longfei Shangguan, University of Pittsburgh. This project will aim to develop an innovative wearable system that leverages biomagnetism to deliver more accurate heart rate and respiration monitoring across diverse skin tones.
Marziye Eshghi, MGH Institute of Health Professions. This project will leverage AI-driven analysis of remotely collected speech data to detect early signs of Alzheimer’s disease (AD) by linking speech acoustic and kinematic features to AD molecular pathologies.
Felipe A. Jain, Massachusetts General Hospital, Finale Doshi-Velez, Harvard University. Family caregivers of people living with dementia have high needs for skills training and methods to reduce stress. This project will study the feasibility of a just-in-time adaptive intervention delivered by smartphone to increase engagement and helpfulness of caregiver skills and relaxation content for caregivers.