Abstract
Over 3.2 million people in the UK alone have the lung disease Chronic Obstructive Pulmonary Disease. Identifying when COPD patients are at risk of an exacerbation is a major problem and there is a need for smart solutions that provide us with a means of tracking patient health status. Smart-phone sensor technology provides us with an opportunity to automatically monitor patients. With sensors providing the ability to measure aspects of a patients daily life, such a motion, methods to interpret these signals and infer health related information are needed. In this work we aim to investigate the feasibility of utilizing motion sensors, built within smart-phones, to measure patient movement and to infer the health related information about the patient. We perform experiments, based on 7 COPD patients using data collected over a 12 week period for each patient, and identify a measure to distinguish between periods when a patient feels well Vs periods when a patient feels unwell.
Original language | English |
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Title of host publication | Unknown Host Publication |
Publisher | IEEE |
Number of pages | 4 |
Publication status | Published (in print/issue) - 25 Aug 2015 |
Event | IEEE Conference of the Engineering in Medicine and Biology Society - Milan, Italy Duration: 25 Aug 2015 → … |
Conference
Conference | IEEE Conference of the Engineering in Medicine and Biology Society |
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Period | 25/08/15 → … |
Keywords
- Smartphone Sensor
- Chronic Obstructive Pulmonary Disease