Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System

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...

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Main Authors: Sungjun Kwon, Dongseok Lee, Jeehoon Kim, Youngki Lee, Seungwoo Kang, Sangwon Seo, Kwangsuk Park
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Sensors
Subjects:
ECG
Online Access:http://www.mdpi.com/1424-8220/16/3/361
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spelling doaj-28d4684b3fb642f7a540fadd0aa73be32020-11-25T00:46:31ZengMDPI AGSensors1424-82202016-03-0116336110.3390/s16030361s16030361Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring SystemSungjun Kwon0Dongseok Lee1Jeehoon Kim2Youngki Lee3Seungwoo Kang4Sangwon Seo5Kwangsuk Park6Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul 08826, KoreaInterdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul 08826, KoreaInterdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul 08826, KoreaSchool of Information Systems, Singapore Management University, Singapore 178902, SingaporeSchool of Computer Science and Engineering, KOREATECH, Cheonan, 31253, KoreaThe 7th R&D Institute, Agency for Defense Development, Daejeon, 32024, KoreaDepartment of Biomedical Engineering, College of Medicine, Seoul National University, Seoul 03080, KoreaIn 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.http://www.mdpi.com/1424-8220/16/3/361opportunistic sensingunobtrusive sensingsmartphone-integratedphone case-typeECGsensor
collection DOAJ
language English
format Article
sources DOAJ
author Sungjun Kwon
Dongseok Lee
Jeehoon Kim
Youngki Lee
Seungwoo Kang
Sangwon Seo
Kwangsuk Park
spellingShingle Sungjun Kwon
Dongseok Lee
Jeehoon Kim
Youngki Lee
Seungwoo Kang
Sangwon Seo
Kwangsuk Park
Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System
Sensors
opportunistic sensing
unobtrusive sensing
smartphone-integrated
phone case-type
ECG
sensor
author_facet Sungjun Kwon
Dongseok Lee
Jeehoon Kim
Youngki Lee
Seungwoo Kang
Sangwon Seo
Kwangsuk Park
author_sort Sungjun Kwon
title Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System
title_short Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System
title_full Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System
title_fullStr Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System
title_full_unstemmed Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System
title_sort sinabro: a smartphone-integrated opportunistic electrocardiogram monitoring system
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2016-03-01
description 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.
topic opportunistic sensing
unobtrusive sensing
smartphone-integrated
phone case-type
ECG
sensor
url http://www.mdpi.com/1424-8220/16/3/361
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