A Cardiac Early Warning System with Multi Channel SCG and ECG Monitoring for Mobile Health
Use of information and communication technology such as smart phone, smart watch, smart glass and portable health monitoring devices for healthcare services has made Mobile Health (mHealth) an emerging research area. Coronary Heart Disease (CHD) is considered as a leading cause of death world wide a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/17/4/711 |
| _version_ | 1828145848862638080 |
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| author | Prasan Kumar Sahoo Hiren Kumar Thakkar Ming-Yih Lee |
| author_facet | Prasan Kumar Sahoo Hiren Kumar Thakkar Ming-Yih Lee |
| author_sort | Prasan Kumar Sahoo |
| collection | DOAJ |
| description | Use of information and communication technology such as smart phone, smart watch, smart glass and portable health monitoring devices for healthcare services has made Mobile Health (mHealth) an emerging research area. Coronary Heart Disease (CHD) is considered as a leading cause of death world wide and an increasing number of people die prematurely due to CHD. Under such circumstances, there is a growing demand for a reliable cardiac monitoring system to catch the intermittent abnormalities and detect critical cardiac behaviors which lead to sudden death. Use of mobile devices to collect Electrocardiography (ECG), Seismocardiography (SCG) data and efficient analysis of those data can monitor a patient’s cardiac activities for early warning. This paper presents a novel cardiac data acquisition method and combined analysis of Electrocardiography (ECG) and multi channel Seismocardiography (SCG) data. An early warning system is implemented to monitor the cardiac activities of a person and accuracy assessment of the early warning system is conducted for the ECG data only. The assessment shows 88% accuracy and effectiveness of our proposed analysis, which implies the viability and applicability of the proposed early warning system. |
| first_indexed | 2024-04-11T20:38:26Z |
| format | Article |
| id | doaj.art-fe6d4482dd324cbaa5961b0a41d8668f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:38:26Z |
| publishDate | 2017-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fe6d4482dd324cbaa5961b0a41d8668f2022-12-22T04:04:18ZengMDPI AGSensors1424-82202017-03-0117471110.3390/s17040711s17040711A Cardiac Early Warning System with Multi Channel SCG and ECG Monitoring for Mobile HealthPrasan Kumar Sahoo0Hiren Kumar Thakkar1Ming-Yih Lee2Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan City 33302, TaiwanDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan City 33302, TaiwanDivision of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Taoyuan City 33305, TaiwanUse of information and communication technology such as smart phone, smart watch, smart glass and portable health monitoring devices for healthcare services has made Mobile Health (mHealth) an emerging research area. Coronary Heart Disease (CHD) is considered as a leading cause of death world wide and an increasing number of people die prematurely due to CHD. Under such circumstances, there is a growing demand for a reliable cardiac monitoring system to catch the intermittent abnormalities and detect critical cardiac behaviors which lead to sudden death. Use of mobile devices to collect Electrocardiography (ECG), Seismocardiography (SCG) data and efficient analysis of those data can monitor a patient’s cardiac activities for early warning. This paper presents a novel cardiac data acquisition method and combined analysis of Electrocardiography (ECG) and multi channel Seismocardiography (SCG) data. An early warning system is implemented to monitor the cardiac activities of a person and accuracy assessment of the early warning system is conducted for the ECG data only. The assessment shows 88% accuracy and effectiveness of our proposed analysis, which implies the viability and applicability of the proposed early warning system.http://www.mdpi.com/1424-8220/17/4/711Mobile Health (mHealth)Body Area Network (BAN)Coronary Heart Disease (CHD)Electrocardiography (ECG)Seismocardiography (SCG)warning system |
| spellingShingle | Prasan Kumar Sahoo Hiren Kumar Thakkar Ming-Yih Lee A Cardiac Early Warning System with Multi Channel SCG and ECG Monitoring for Mobile Health Sensors Mobile Health (mHealth) Body Area Network (BAN) Coronary Heart Disease (CHD) Electrocardiography (ECG) Seismocardiography (SCG) warning system |
| title | A Cardiac Early Warning System with Multi Channel SCG and ECG Monitoring for Mobile Health |
| title_full | A Cardiac Early Warning System with Multi Channel SCG and ECG Monitoring for Mobile Health |
| title_fullStr | A Cardiac Early Warning System with Multi Channel SCG and ECG Monitoring for Mobile Health |
| title_full_unstemmed | A Cardiac Early Warning System with Multi Channel SCG and ECG Monitoring for Mobile Health |
| title_short | A Cardiac Early Warning System with Multi Channel SCG and ECG Monitoring for Mobile Health |
| title_sort | cardiac early warning system with multi channel scg and ecg monitoring for mobile health |
| topic | Mobile Health (mHealth) Body Area Network (BAN) Coronary Heart Disease (CHD) Electrocardiography (ECG) Seismocardiography (SCG) warning system |
| url | http://www.mdpi.com/1424-8220/17/4/711 |
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