A cardiac early warning system with multi channel SCG and ECG monitoring for mobile health

Prasan Kumar Sahoo, Hiren Kumar Thakkar, Ming Yih Lee*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

67 Scopus citations

Abstract

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.

Original languageEnglish
Article number711
JournalSensors
Volume17
Issue number4
DOIs
StatePublished - 04 2017

Bibliographical note

Publisher Copyright:
© 2017 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Body area network (BAN)
  • Coronary heart disease (CHD)
  • Electrocardiography (ECG)
  • Mobile health (mHealth)
  • Seismocardiography (SCG)
  • Warning system

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