Realization and technology acceptance test of a wearable cardiac health monitoring and early warning system with multi-channel MCGs and ECG

Wen Yen Lin, Hong Lin Ke, Wen Cheng Chou, Po Cheng Chang, Tsai Hsuan Tsai, Ming Yih Lee*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

31 Scopus citations

Abstract

In this work, a wearable smart clothing system for cardiac health monitoring with a multi-channel mechanocardiogram (MCG) has been developed to predict the myo-cardiac left ventricular ejection fraction (LVEF) function and to provide early risk warnings to the subjects. In this paper, the realization of the core of this system, i.e., the Cardiac Health Assessment and Monitoring Platform (CHAMP), with respect to its hardware, firmware, and wireless design features, is presented. The feature values from the CHAMP system have been correlated with myo-cardiac functions obtained from actual heart failure (HF) patients. The usability of this MCG-based cardiac health monitoring smart clothing system has also been evaluated with technology acceptance model (TAM) analysis and the results indicate that the subject shows a positive attitude toward using this wearable MCG-based cardiac health monitoring and early warning system.

Original languageEnglish
Article number3538
JournalSensors
Volume18
Issue number10
DOIs
StatePublished - 19 10 2018

Bibliographical note

Publisher Copyright:
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Heart failure (HF)
  • Left ventricular ejection fraction (LVEF)
  • Mechanocardiogram (MCG)
  • Smart clothes
  • Technology acceptance model (TAM)

Fingerprint

Dive into the research topics of 'Realization and technology acceptance test of a wearable cardiac health monitoring and early warning system with multi-channel MCGs and ECG'. Together they form a unique fingerprint.

Cite this