Remote Sensing for Alzheimer's Disease

This trial explores how smart-home sensors and artificial intelligence (AI) can detect early symptoms of Alzheimer's Disease and Related Dementias (ADRD) by monitoring daily activities. The goal is to develop personalized support strategies to help individuals with memory and cognition issues live more independently. The trial includes two groups: participants with ADRD and those without, to compare data and refine the technology. Suitable candidates are English-speaking adults over 50 who have received a diagnosis of mild cognitive impairment or mild dementia from a healthcare professional. As an unphased trial, this study offers participants the chance to contribute to groundbreaking research that could improve daily living for those facing memory challenges.

The trial information does not specify whether you need to stop taking your current medications. It's best to discuss this with the trial coordinators or your doctor.

Research has shown that using smart-home sensors and AI to monitor Alzheimer's and related dementias is generally well-accepted. In one study, researchers tracked a 90-year-old woman's daily activities for over 490 days without any safety issues, suggesting these technologies can be used safely for extended periods.

Another study tested remote monitoring in individuals with mild Alzheimer's and found the technology effective and user-friendly. These trials reported no major safety concerns.

Researchers are excited about the Remote Ambient Sensor System for Alzheimer's Disease because it represents a non-invasive and continuous way to monitor patients. Unlike traditional treatments that focus on medications to manage symptoms, this system uses sensors to gather data on patients' daily activities and health patterns. This innovative approach aims to detect changes in behavior or cognitive function early, potentially leading to more timely interventions. By providing real-time insights, this method could significantly enhance how we understand and manage Alzheimer's Disease, offering a proactive rather than reactive solution.

Research has shown that remote sensing technologies can help detect symptoms of Alzheimer's disease. In this trial, participants will be monitored using a Remote Ambient Sensor System. These sensors collect real-time information about daily activities, providing a better understanding of how people with Alzheimer's live. This data can help identify different stages of the disease and even spot early signs of memory and thinking problems. For instance, infrared sensors have found that people with cognitive decline often move less around their homes. Overall, remote monitoring technologies could improve care for those with Alzheimer's by enabling early symptom detection and personalized support.¹²⁶⁷⁸