CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 21 enrolled
Drug / intervention
Smart-Home Monitoringdevice
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT05961319
NCT05961319N/ACompleted

Smart Home Technologies for Assessing and Monitoring Frailty in Older Adults

University of Alberta·observational·Posted Jul 27, 2023·Updated Aug 23, 2024

In Brief

An observational study evaluating Smart-Home Monitoring for Frailty and 7 related conditions. Completed, enrolled 21 participants across 2 sites.

Detailed Summary

This project aims to address the impact of frailty on older adults, particularly its connection to cognitive impairments such as dementia. By identifying frailty in its early stages, interventions can be designed to slow down the progression of cognitive decline. To achieve this, the project plans to develop a reliable at-home monitoring system that can accurately track frailty in older adults with mild cognitive impairment or dementia. By utilizing cutting-edge technologies such as high-precision indoor positioning and home-installed sensors, referred to as zero-effort technologies (ZETs), the system will collect continuous sensor data, which will be analyzed to identify indicators of frailty.

Study Details

Study Typeobservational
Allocation--
Masking--
Primary Purpose--
CountriesCanada

Timeline

N/ACompletedFinished
202420252026
First PostedJul 27, 2023
Enrollment StartSep 20, 2023
Primary CompletionMar 20, 2024
Study CompletionJun 30, 2024
TodayJul 2, 2026
Enrollment to primary: 6 monthsPosted 2.9 years ago

Interventions

Smart-Home Monitoringdevice

During the study, various sensors will be employed to capture participant interactions with appliances and furniture. These sensors may include: Interaction Sensors: These sensors are designed to recognize users' interactions with appliances and furniture within the smart environment. Smart Biomechanics Devices: Devices such as a Fitbit device an internet of Things grip Dynamometer will be utilized to assess physical balance and strength. Positioning System using Ultra-Wide Band (UWB) Technology: This positioning system leverages UWB technology, enabling furniture-level accuracies in interpreting self-care activities. As participants engage with different elements of the smart environment, these sensors will collect data. Additionally, participants will be recorded via video to further enhance the observational data captured during the study.