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.
https://www.youtube.com/watch?v=LHGAhAdToUg Speaker: Heather M. Young, PhD, RN, FAAN Professor, Betty Irene Moore School of Nursing Founding Dean Emerita National Director, Betty Irene Moore Fellowship for Nurse Leaders and Innovators UC Davis Health Abstract: Over 38 million family caregivers provide the vast majority of long-term care in the United States, valued at over $600 billion annually. Most of these caregivers are supporting a person with mild cognitive impairment or Alzheimer’s Disease or Related Disorders. This presentation will provide an overview of who are the caregivers and how health systems and technology can support them as they engage in this vital role.
https://www.youtube.com/watch?v=GQhT0iakfYE
Joseph Chung, Kinto. This project will apply sentiment analysis and large language models to text data from a variety of sources including messaging between coaches and caregivers as well as peer-to-peer support groups.
https://youtu.be/VLEL_qlBLFA?si=0oCfae1LTswkZyPG
https://youtu.be/wKgXSOgZSdU?si=PjYmoeQYrISdVqdz
https://www.youtube.com/watch?v=sHCNy3hzdXk This talk will focus on: Digital health technology in precision medicine Advancements in cardiogenic vibration sensing Musculoskeletal sensing and joint acoustic emissions Abstract: Recent advances in digital health technologies are enabling biomedical researchers to reframe health optimization and disease treatment in a patient-specific, personalized manner. This talk will focus on my group’s research in two areas of relevance to digital health: (1) cardiogenic vibration sensing and analytics; and (2) musculoskeletal sensing with joint acoustic emissions and bioimpedance. Our group has extensively studied the timings and characteristics of cardiogenic vibration signals such as the ballistocardiogram and seismocardiogram, and applied these signals for cuffless blood pressure measurement, heart failure monitoring, and human performance. We have also leveraged miniature contact microphones to measure the sounds emitted by joints, such as the knees, in the context of movement,…