Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System

• Main Authors: KWON, Sungjun, LEE, Dongseok, KIM, Jeehoon, LEE, Youngki, KANG, Seungwoo, SEO, Sangwon, PARK, Kwangsuk
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: smartphone-integrated; unobtrusive sensing; opportunistic sensing; ECG; phone case-type; sensor; Computer Sciences; Medicine and Health Sciences; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3175; https://ink.library.smu.edu.sg/context/sis_research/article/4176/viewcontent/sensors_16_00361.pdf
• Institution: Singapore Management University

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.