Daily activity lifelogs of people with Heart Failure: An observational study

E-poster

Abstract Overview

Background: Self-management of heart failure typically includes reducing sedentary time, increasing physical activity, self-weighing, and taking medication. Understanding how people with heart failure manage their condition is crucial for refining future interventions, however traditionally these activities have been assessed using self-report methods. Wearable cameras offer a unique and objective tool to capture the lived experiences and daily activities of people with heart failure.

Purpose: We aimed to determine the potential utility of wearable cameras to better understand activities of daily living in people living with heart failure.

Methods: We analysed wearable camera image data (>2M images) obtained from 30 people living with heart failure. Images were processed using the E-Myscéal system with customized search terms for seven activities of daily living (physical activity, screen time, gardening, shopping, drinking, eating, taking medication). The utility of the system for capturing specific activities was evaluated using sensitivity analysis. Daily activity image data were analysed using descriptive statistics. Differences in recorded activities were also captured for 10 participants that were readmitted to hospital for heart failure.

Results: The E-Myscéal system demonstrated heightened sensitivity towards specific search terms. Overall, large numbers of images were found for screen time compared to physical activities (including shopping and gardening. More activities were recorded before midday compared with afternoons. Changes in the participants’ daily activities were also observed before and after their hospitalization.

Conclusions: Wearable cameras can capture valuable data on daily physical activities of people living with heart failure to develop personalized interventions. A flexible interrogation system is crucial for efficient analysis of the huge volume of data produced by lifelogging devices.

Practical implications: These data can inform personalised interventions. The E-Myscéal system is a practical tool to interrogate these types of data.

Funding: Heart Foundation Vanguard Grant #101348.

Additional Authors

Name: Teketo Tegegne
Affiliation: Deakin University
Presenting Author: no
Name: Cathal Gurrin
Affiliation: Dublin City University
Presenting Author: no
Name: Ly-Duyen Tran
Affiliation: Dublin City University
Presenting Author: no
Name: Rebecca Nourse
Affiliation: Deakin University
Presenting Author: no

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Information

Study Type: Measurement or surveillance
Subtheme: New Technology
Population Group: People with chronic conditions
Setting: Community

Submitting Author

Ralph Maddison
Professor Digital Health
Deakin University
Australia

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