Robert Hager, Preveal Technologies, Inc. Hassan Ghasemzadeh, ASU. The Preveal pilot project focused on developing an in-home cognitive improvement system using EEG-based neurofeedback (EEG-NFB) to monitor and enhance working memory in older adults.
James Mastrianni, The University of Chicago. Josh Kim, Adiona Health. This project seeks to validate a novel machine learning technique that analyzes motion data from an accelerometer in an Apple Watch to identify the onset of an agitation episode in a person with ADRD.
Title: A Digital Biometric Approach to Reducing Hospital Admissions for Underserved Older Adults with COPD Authors: Jennifer Williams, Ahmed Taha, Stephanie Poon
Title: Detection of Falls and Other Health Events Using Sound, Activity monitoring and Machine Learning Authors: Richard Watkins, Sebastian Jastrzębski, David Watkins
Title: Expanding a Multimodal VR Fitness Platform to Remotely Assess, Monitor, and Report Cognitive and Physical Function for Older Adults Authors: Jennifer Stamps, Kyle Rand, Thomas Neumann, Erin Naffziger, Yuval Rosen
Title: AI-Supported In-Home Brain Assessments for Older Adults and Persons with Alzheimer's Disease Authors: Jian Shi, Jacqueline Gong, Gary Stragman, Deborah Blacker, Quan Zhang
Title: Utilizing the Druid Impairment App to Assess and Enhance Senior Adults' Driving Performance Authors: Michael Kilburn, William DeJong, Anuj Pradhan, Apoorva Hungund, Melissa Paciulli