A novel handheld device for use in remote patient monitoring of heart failure patients-design and preliminary validation on healthy subjects

Luca Pollonini, Nithin O. Rajan, Shuai Xu, Sridhar Madala, Clifford C. Dacso

Research output: Contribution to journalArticle

22 Scopus citations

Abstract

Remote patient monitoring (RPM) holds great promise for reducing the burden of congestive heart failure (CHF). Improved sensor technology and effective predictive algorithms can anticipate sudden decompensation events. Enhanced telemonitoring systems would promote patient independence and facilitate communication between patients and their physicians. We report the development of a novel hand-held device, called Blue Box, capable of collecting and wirelessly transmitting key cardiac parameters derived from three integrated biosensors: 2 lead electrocardiogram (ECG), photoplethysmography and bioelectrical impedance (bioimpedance). Blue Box measurements include time intervals between consecutive ECG R-waves (RR interval), time duration of the ECG complex formed by the Q, R and S waves (QRS duration), bioimpedance, heart rate and systolic time intervals. In this study, we recruited 24 healthy subjects to collect several parameters measured by Blue Box and assess their value in correlating with cardiac output measured with Echo-Doppler. Linear correlation between the heart rate measured with Blue Box and cardiac output from Echo- Doppler had a group average correlation coefficient of 0.80. We found that systolic time intervals did not improve the model significantly. However, STIs did inversely correlate with increasing workloads.

Original languageEnglish (US)
Pages (from-to)653-659
Number of pages7
JournalJournal of Medical Systems
Volume36
Issue number2
DOIs
StatePublished - Apr 1 2012

Keywords

  • Cardiac output
  • Congestive heart failure
  • Electrocardiography
  • Photoplethysmography
  • Remote patient monitoring
  • Systolic time intervals

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Health Information Management

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