The Sinabro smartphone-integrated system reliably captured ECG and extracted highly accurate ECG-derived features with a reasonable rate of data drop during daily smartphone use.
A smartphone-integrated ECG monitoring system can reliably capture ECG and extract heart rate variability features during daily use without explicit user intervention.
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.
Kwon et al. (Fri,) reported a other. Sinabro (smartphone-integrated opportunistic ECG monitoring system) was evaluated on Reliability of ECG capture and accuracy of ECG-derived features. The Sinabro smartphone-integrated system reliably captured ECG and extracted highly accurate ECG-derived features with a reasonable rate of data drop during daily smartphone use.