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.
This project is centred around addressing the impact of frailty on older adults and its correlation with cognitive impairments, particularly dementia. The aim is to develop an effective and non-intrusive at-home monitoring system that can accurately track frailty in older adults with mild cognitive impairment or dementia. By identifying frailty in its early stages, interventions can be designed to slow down the progression of cognitive decline and improve the overall well-being of older adults. To achieve this, the project plans to leverage cutting-edge technologies such as high-precision indoor positioning and home-installed sensors, collectively referred to as zero-effort technologies (ZETs). These technologies require minimal user effort and will provide a continuous stream of sensor data. The collected data will be systematically analyzed to identify indicators of frailty, allowing for early detection and intervention. Importantly, the project recognizes the significance of engaging older adults, caregivers, and healthcare professionals throughout the development process. Their attitudes, beliefs, and perceptions will be taken into consideration to ensure that the monitoring system is meaningful, beneficial, and respects user privacy. By involving older adults and caregivers in the early stages, the project aims to create a monitoring system that can be seamlessly integrated into the lives of older adults dealing with frailty and cognitive impairments. The goal is to provide an affordable and efficient solution that can be implemented within the comfort and familiarity of their own homes. The continuous tracking of frailty data will enable healthcare professionals and caregivers to deliver timely interventions and support, thereby potentially slowing down the cognitive decline experienced by older adults. Through the combination of advanced technologies and a user-centred approach, the project intends to bridge the gap between frailty and cognitive impairments in older adults. By identifying frailty at an early stage and tailoring interventions accordingly, personalized and targeted support can be provided to improve the quality of life for older adults with mild cognitive impairment or dementia. Ultimately, the project aims to contribute to the development of effective strategies for managing frailty and cognitive decline, benefiting both older adults and their caregivers, as well as clinicians.
Study Type
OBSERVATIONAL
Enrollment
21
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.
Glenrose Rehabilitation Hospital
Edmonton, Alberta, Canada
Corbett Hall, University of Alberta
Edmonton, Alberta, Canada
Slowness (Mobility)
15 Foot Walk / 5 Metres, Timed. The sensors and the camera will record the participants' data during this time.
Time frame: through study completion, within a total average of 2 hours
Weight (lbs, Kgs)
Weight taken using an internet of things scale
Time frame: through study completion, within a total average of 2 hours
Exhaustion
Smart speaker delivered two questions from the Center for Epidemiological Studies-Depression (CES-D) scale (7. I felt that everything I did was an Effort, 20. I could not get "going."). The sensors and the camera will record the participants' data during this time.
Time frame: through study completion, within a total average of 2 hours
Strength - Handgrip
Using a internet of things dynanometer, force will be assessed (3 times each hand - 30 seconds of rest between measurements) and to release it. The sensors and the camera will record the participants' data during this time.
Time frame: through study completion, within a total average of 2 hours
Activity
The participant is asked to complete two tasks from the Performance Assessment of Self-Care Skills (PASS - Clinic) Version 4.1. This will involve a simulated version of carrying garbage, and sweeping the floors. The sensors and the camera will record the participants' data during this time.
Time frame: through study completion, within a total average of 2 hours
Meal Preparation
Participants will be asked to prepare a simple sandwich using the kitchen elements.The sensors and the camera will record the participants' data during this time.
Time frame: through study completion, within a total average of 2 hours
Observe Free Activity
During the data collection, participants will be given 5 minutes to do whatever activity they want. The sensors and the camera will record the participants' data during this time.
Time frame: through study completion, within a total average of 2 hours
Qualitative Interviews Regarding Technology
Qualitative Interview (Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) constructs)
Time frame: Through study completion, within a total average of 2 hours
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