In our preliminary study, we proposed a smartphone-integrated, unobtrusive electrocardiogram (ECG) monitoring system, Sinabro, which monitors a user's ECG opportunistically during daily smartphone use without explicit user intervention. The proposed system also monitors ECG-derived features, such as heart rate (HR) and heart rate variability (HRV), to support the pervasive healthcare apps for smartphones based on the user's high-level contexts, such as stress and affective state levels. In this study, we have extended the Sinabro system by: (1) upgrading the sensor device; (2) improving the feature extraction process; and (3) evaluating extensions of the system. We evaluated these extensions with a good set of algorithm parameters that were suggested based on empirical analyses. The results showed that the system could capture ECG reliably and extract highly accurate ECG-derived features with a reasonable rate of data drop during the user's daily smartphone use.
smartphone-integrated, unobtrusive sensing, opportunistic sensing, ECG, phone case-type, sensor
Computer Sciences | Medicine and Health Sciences | Software Engineering
Software and Cyber-Physical Systems
KWON, Sungjun; LEE, Dongseok; KIM, Jeehoon; LEE, Youngki; KANG, Seungwoo; SEO, Sangwon; and PARK, Kwangsuk.
Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System. (2016). Sensors. 16, (3), 1-16. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3175
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