Early detection of Alzheimer’s and related dementia using speech from hearing aids
Official title: Early detection and monitoring of Alzheimers Disease and Related Dementias using non-semantic linguistic and acoustic features of speech derived from hearing aids
Funded at Headwaters Innovation, INC. · NIH-11416519 · Data updated 2026-11-12
This project explores whether non-semantic speech patterns and acoustic features from hearing aid users can help detect and monitor Alzheimer’s disease and related dementias early on.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Headwaters Innovation, INC. NIH-funded |
| Lab location | 1 site (Inver Grove Heights, UNITED STATES) |
| Project start | September 30, 2022 |
| Project end | May 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $757,621 |
| NIH project number | 5R44AG080977-03 |
| Project ID | NIH-11416519 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals aged 85 and older, including those with Alzheimer’s disease or related dementias, or those at risk for ADRD who regularly use a hearing aid.
✕Less likely to help
People not using a hearing aid or those without ADRD risk or symptoms may not benefit from this approach.
What this research studies
If you are an older adult who uses a hearing aid, this project aims to collect and analyze your speech signals to identify subtle changes that may signal the start or progression of Alzheimer’s disease and related dementias. Researchers will use machine learning and advanced speech analysis to find markers in everyday listening situations, making the approach low-burden and scalable for home or clinic use. The ultimate goal is to provide a cost-effective, noninvasive way to track cognitive health over time and support timely medical decisions. The study is conducted by HEADWATERS INNOVATION, INC. with a focus on older adults at risk for ADRD and those living with the condition.
Why it matters
Potential benefit: If successful, this approach could enable earlier detection and more convenient monitoring of ADRD for patients and caregivers.
How similar studies have gone: Prior work in speech analytics and ML has shown promise for cognitive monitoring, but application to hearing-aid based data in ADRD is emerging and promising.
Where this research is happening
-
Headwaters Innovation, INC.
Inver Grove Heights, United States Active
Researchers
- Principal investigator: Bischoff, Brian John — Headwaters Innovation, INC.
- Study coordinator: Bischoff, Brian John
Related research
Other NIH-funded projects on the same topics.
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Detecting and tracking Alzheimer's and related dementias using speech from hearing aids
This project uses speech sounds captured by hearing aids and machine learning to look for early signs of Alzheimer's and related dementias in older adults.
-
Microvascular brain health and speech in people at risk for Alzheimer’s disease
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How background noise changes children's word recognition with and without hearing aids
This project looks at how different kinds of background noise slow down how quickly children with normal hearing and children who use hearing aids recognize words and their meanings.
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Benefits of speech-based hearing tests and low-gain hearing aids for blast-exposed Veterans
A study in veterans exposed to blasts will test a new, data-driven way to fit low-gain hearing aids using speech-based hearing tests to help with difficult listening in noisy places.
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Everyday speech tests to detect and monitor Alzheimer’s and related dementias
This project uses short recorded speech on phones to look for early signs of Alzheimer’s and track language changes over time.
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Understanding how background noise affects speech recognition in children with and without hearing aids
This study looks at how background noise affects kids' ability to understand speech, especially for those with normal hearing and those who use hearing aids, using eye-tracking technology to see how well they can follow spoken words in noisy situations.
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.