Earpiece Tech Detects Early Alzheimer’s Through Eye Movement Signals – Neuroscience News

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Summary: Researchers are exploring how earpiece microphones, or “hearables,” could detect early signs of Alzheimer’s disease by monitoring subtle eye movement changes. Alzheimer’s impacts motor and cognitive functions, with slowed or delayed eye movements (saccades) being an early indicator.

Conventional eye trackers are costly and inaccessible, but hearables can capture related eardrum vibrations for noninvasive, long-term monitoring. By analyzing these signals, researchers aim to create a tool for early Alzheimer’s detection and potentially for other neurological disorders.

Key Facts:

  • Alzheimer’s patients exhibit slower, less accurate eye movements (saccades).
  • Sensitive earpiece microphones can detect eardrum vibrations caused by saccades.
  • This noninvasive method could enable long-term monitoring for Alzheimer’s and other diseases.

Source: American Institute of Physics

Alzheimer’s disease affects more than 50 million people worldwide, often devastating both the individuals who have it and their families and loved ones. It has no known cure, and the slow, progressive nature of the disease makes early diagnosis difficult.

Researchers from École de Technologie Supérieure and Dartmouth University are investigating the use of earpiece microphones to spot early signs of Alzheimer’s. Miriam Boutros will present their work on Tuesday, Nov. 19, at 4:15 p.m. ET, as part of the virtual 187th Meeting of the Acoustical Society of America, running Nov. 18-22, 2024.

People with Alzheimer’s exhibit a loss of motor control along with cognitive decline. One of the earliest signs of this decay can be spotted in involuntary eye movements known as saccades. These quick twitches of the eyes in Alzheimer’s patients are often slower, less accurate, or delayed compared to those in healthy individuals.

People with Alzheimer’s exhibit a loss of motor control along with cognitive decline. Credit: Neuroscience News

“Eye movements are fascinating since they are some of the most rapid and precise movements in the human body, thus they rely on both excellent motor skills and cognitive functioning,” said researcher Arian Shamei.

Detecting and analyzing saccades directly requires a patient to be monitored by eye-tracking equipment, which is not easily accessible for most people. Boutros and her colleagues are exploring an alternative method using a more ubiquitous and less intrusive technology: earpiece microphones.

This research is led by Rachel Bouserhal at the Research in Hearing Health and Assistive Devices (RHAD) Laboratory at École de Technologie Supérieure and Chris Niemczak at the Geisel School of Medicine at Dartmouth University.

“We are using a device called a hearable,” said Boutros.

“It is an earpiece with in-ear microphones that captures physiological signals from the body. Our goal is to develop health-monitoring algorithms for hearables, capable of continuous, long-term monitoring and early disease detection.”

Eye movements, including saccades, cause eardrum vibrations that can be picked up by sensitive microphones located within the ear. The researchers are conducting experiments with volunteers, giving them both hearables and conventional eye trackers.

Their goal is to identify signals corresponding to saccades, and to differentiate between healthy signals and others that are indicative of neurological disorders like Alzheimer’s.

They hope one day their research will lead to devices that can perform noninvasive continuous monitoring for Alzheimer’s along with other neurological diseases.

“While the current project is focused on long-term monitoring of Alzheimer’s disease, eventually, we would like to tackle other diseases and be able to differentiate between them based on symptoms that can be tracked through in-ear signals,” said Shamei.

About this Alzheimer’s disease and neurotech research news

Author: Hannah Daniel
Source: American Institute of Physics
Contact: Hannah Daniel – American Institute of Physics
Image: The image is credited to Neuroscience News

Original Research: The findings will be presented at the 187th Meeting of the Acoustical Society of America

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