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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
A Novel Point-of-Care Smartphone Based System for Monitoring the Cardiac and Respiratory Systems
Kwanghyun Sohn1, Faisal M Merchant2, Omid Sayadi1
1Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
A smartphone-based electrocardiogram (ECG) system, cvrPhone, effectively detects myocardial ischemia and respiratory apnea using only ECG signals. This mobile health solution offers a novel approach to cardio-respiratory monitoring.
Area of Science:
- Biomedical Engineering
- Cardiology
- Respiratory Medicine
Background:
- Mobile health technology is expanding healthcare delivery.
- Cardio-respiratory monitoring presents significant challenges in mobile healthcare.
- Existing systems often require specialized hardware.
Purpose of the Study:
- To develop and evaluate a smartphone-based 12-lead electrocardiogram (ECG) system named "cvrPhone".
- To assess the system's capability in detecting myocardial ischemia and estimating respiratory parameters (respiration rate and tidal volume) from ECG signals alone.
- To validate the system's performance in detecting apnea.
Main Methods:
- Developed a 12-lead smartphone-based ECG acquisition system (cvrPhone).
- Utilized ECG signal analysis to calculate ischemic indices and estimate respiration rate (RR) and tidal volume (TV).
- Conducted in-vivo swine studies involving induced coronary artery occlusion and simulated apnea via mechanical ventilator pauses.
Main Results:
- Ischemic indices significantly increased (p < 0.05) within 2 minutes of coronary artery occlusion.
- Significant increases in ischemic index preceded ventricular tachycardia episodes by 1-4 minutes.
- Apnea was detected within 7.9 ± 1.1 seconds for RR and 5.5 ± 2.2 seconds for TV, with estimated values of 0 breaths/min and <100 ml, respectively.
Conclusions:
- The cvrPhone system demonstrates efficacy in detecting myocardial ischemia using ECG signals.
- The system accurately estimates respiratory rate and tidal volume, enabling apnea detection.
- This mobile platform offers a promising, readily available solution for cardio-respiratory monitoring.
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