Developing wearable technologies to help assess and support individuals with Alzheimer's and related dementias
Creating adaptive, wearable technologies to assess and intervene for individuals with ADRDs
This study is working on new wearable devices that can help keep track of how people with Alzheimer's and related conditions behave in their daily lives, so we can better understand their health and provide support when they need it.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington State University NIH-funded |
| Lab location | 1 site (Pullman, United States) |
| Project ID | NIH-11075327 on NIH RePORTER |
What this research studies
This research focuses on creating innovative wearable technologies that can monitor and analyze the behavior of individuals with Alzheimer's Disease and Related Dementias (ADRDs) in their everyday environments. By utilizing machine learning and low-cost sensors, the project aims to develop health-predictive models that assess cognitive and functional health based on behavioral patterns. The approach includes automatic assessments and interventions, making it easier to provide timely support to patients. Additionally, the program emphasizes training new researchers in the field of gerontechnology to ensure ongoing advancements in this area.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with Alzheimer's Disease or related dementias who are living in community settings.
Not a fit: Patients with early-stage cognitive impairments who do not yet meet the criteria for Alzheimer's or related dementias may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved monitoring and intervention strategies for individuals with Alzheimer's and related dementias, enhancing their quality of life.
How similar studies have performed: Previous research has shown promise in using wearable technologies and machine learning for health assessments, indicating a potential for success in this innovative approach.
Where this research is happening
Pullman, United States
- Washington State University — Pullman, United States (Active)
Researchers
- Principal investigator: Cook, Diane Joyce — Washington State University
- Study coordinator: Cook, Diane Joyce
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.