mCardia: A Context-Aware ECG Collection System for Ambulatory Arrhythmia Screening

Devender Kumar, Raju Maharjan, Alban Maxhuni, Helena Dominguez, Anne Frølich, Jakob E. Bardram

Research output: Contribution to journalJournal articleResearchpeer-review

22 Downloads (Pure)

Abstract

This article presents the design, technical implementation, and feasibility evaluation of mCardia—a context-aware, mobile electrocardiogram (ECG) collection system for longitudinal arrhythmia screening under free-living conditions. Along with ECG, mCardia also records active and passive contextual data, including patient-reported symptoms and physical activity. This contextual data can provide a more accurate understanding of what happens before, during, and after an arrhythmia event, thereby providing additional information in the diagnosis of arrhythmia. By using a plugin-based architecture for ECG and contextual sensing, mCardia is device-agnostic and can integrate with various wireless ECG devices and supports cross-platform deployment. We deployed the mCardia system in a feasibility study involving 24 patients who used the system over a two-week period. During the study, we observed high patient acceptance and compliance with a satisfactory yield of collected ECG and contextual data. The results demonstrate the high usability and feasibility of mCardia for longitudinal ambulatory monitoring under free-living conditions. The article also reports from two clinical cases, which demonstrate how a cardiologist can utilize the collected contextual data to improve the accuracy of arrhythmia analysis. Finally, the article discusses the lessons learned and the challenges found in the mCardia design and the feasibility study.
Original languageEnglish
Article number20
JournalAcm Transactions on Computing and Healthcare
Volume3
Issue number2
Number of pages28
ISSN2637-8051
DOIs
Publication statusPublished - 2022

Keywords

  • Arrhythmia
  • Arrhythmia screening
  • Mobile health
  • mHealth
  • Electrocardiogram (ECG)
  • Mobile Sensing
  • Holter monitoring
  • Cardiovascular
  • Context aware ECG

Fingerprint

Dive into the research topics of 'mCardia: A Context-Aware ECG Collection System for Ambulatory Arrhythmia Screening'. Together they form a unique fingerprint.

Cite this