Abstract
By 2030 it has been predicted that Chronic Obstructive Pulmonary Disease (COPD) will affect, on a global scale, over 64 million people and will be the third leading cause of death worldwide. This work discusses the development of a self-management system that records physiological and contextual information via a smartphone, a wrist worn accelerometer for measuring activity and a chest worn device for monitoring patterns of respiration. The data recorded through this system facilitates analysis to identify changes in the patterns of the bio-signals and may pave the way for advice to be offered regarding the self-management of this long-term condition. Feedback relating to specific activity goals that can be set and monitored will be provided to the user as part of the self-management solution
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Beattie, M.P., Zheng, H., Nugent, C.D., McCullagh, P. (2014). Technical Validation of COPD Activity Support Monitor- Towards COPD Self-management. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds) Ambient Assisted Living and Daily Activities. IWAAL 2014. Lecture Notes in Computer Science, vol 8868. Springer, Cham. https://doi.org/10.1007/978-3-319-13105-4_12
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DOI: https://doi.org/10.1007/978-3-319-13105-4_12
Publisher Name: Springer, Cham
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