
Investigators:
Ehsan Adeli, Stanford University
Victor W. Henderson, Stanford University
MassAITC Cohort: Year 3 (AD/ADRD)
The Short Physical Performance Battery (SPPB) is an established protocol designed to assess lower extremity function and mobility in elderly populations. Traditionally used to predict health outcomes such as disability and mortality, SPPB’s relevance extends into cognitive impairment arenas, particularly Alzheimer’s Disease and Related Dementias (ADRD).
This project proposes the development of a mobile application that facilitates the remote and automated administration of the SPPB tests, enabling frequent, accurate, and non-invasive assessments at home. Our mobile application will guide users through each test, capture performance using the device’s camera, and employ computer vision technology to analyze movements and provide immediate scoring. Data collected from these tests will not only track the progression of physical abilities but also help predict cognitive decline by correlating physical performance with cognitive health markers.
By allowing continuous monitoring and early detection of subtle physical and cognitive changes, the application aims to support timely clinical interventions and adaptive care strategies, thereby enhancing personalized care for ADRD patients. The project leverages expertise from the Stanford Alzheimer’s Disease Research Center and integrates advanced analytics to transform how we approach ADRD monitoring and management.
Outcomes:
- Poster Presentation: a2 National Symposium 2025Title: An Objective Assessment Tool for Evaluating Functioning in Older Adults Authors: Narayan Schutz, Anson Zhou, Merryn Daniel, Victor Henderson, Ehsan Adeli
- Grant Funding: NIA R01 (R01AG089169)Title: Neural mechanisms of gait disturbances as individualized digital biomarker trajectories in preclinical dementia Public Health Relevance Statement: In this project, the research team uncovers the neural mechanisms of gait and mobility disturbances in preclinical dementia and identifies trackable individualized digital biomarkers (from videos). They evaluate the specificity and sensitivity… Read more: Grant Funding: NIA R01 (R01AG089169)
- Oral Presentation: Alzheimer’s Association International ConferenceTitle: Automated Physical Performance Battery as a Digital Marker for Alzheimer’s Disease and Mild Cognitive ImpairmentPresenter: Ehsan Adeli (PI) Abstract: Historically, screening for incidence of AD-related MCI or conversion from MCI to AD dementia has relied on cognitive, activities of daily living, and brain imaging measures. Limitations of this diagnostic… Read more: Oral Presentation: Alzheimer’s Association International Conference
- Open Source Software Available: GaitForeMer (GaitForecasting and impairment estimation transforMer)The base gait forecasting and estimation transformer model that is leveraged for this pilot is available open-source. Source: https://github.com/markendo/GaitForeMer