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 language | English (US) |
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Pages (from-to) | 653-659 |
Number of pages | 7 |
Journal | Journal of Medical Systems |
Volume | 36 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2012 |
Externally published | Yes |
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