Key result
A real-time remote handheld ECG monitoring system identified QRS complexes with 99.34% sensitivity and premature ventricular contractions with 87.5% sensitivity.
Why the study?
To evaluate the potential usefulness and effectiveness of a real-time remote handheld ECG monitoring system in early detection of heart conduction problems, specifically identifying patterns preceding ventricular fibrillation.
Does a real-time remote handheld ECG monitoring system accurately detect QRS complexes, PVCs, and HRV changes to predict cardiac events?
Does a real-time remote handheld ECG monitoring system accurately detect QRS complexes, PVCs, and HRV changes to predict cardiac events?
A handheld remote ECG monitoring system with server-based analysis can accurately detect QRS complexes and PVCs, potentially aiding in the early detection of ventricular fibrillation and assessing cardiac risk via HRV.
Answers are grounded in this paper and cite their sources.
Supports remote ECG monitoring feasibility; leaves open prospective validation for cardiac event prediction.
This present study deals with designing a real-time remote handheld ECG monitoring system and evaluating its potential usefulness in early detection of heart conduction problems. The raw ECG recordings were sent by the handheld monitor (client) to a remote server, which performed an on-line ECG analysis and sent the results back to the client. Real-time feedback provided to the client included display of ECG, results of ECG analysis and alarms (if required). The objective of this work was to determine its effectiveness in real-time identification of particular pattern preceding ventricular fibrillation. The remote server identified the occurrence of QRS complex and premature ventricular contractions and monitored ECG for ventricular tachycardia and variations in heart rate variability indices. The sensitivity and specificity of the QRS detection to ECG recordings from MIT-Arrhythmia database were 99.34% and 99.31%, respectively. Similarly these parameters of the premature ventricular contraction detection were 87.5% and 91.67%, respectively. The time between alarm and the onset of ventricular fibrillation was measured on ECG recordings where premature ventricular contractions were found to lead to ventricular fibrillation. The remote monitor was able to successfully identify the onset on ventricular fibrillation. Early detection could contribute to better response to an emergency intervention. HRV indices sensitive to the differences between normal and subjects with congestive heart failure were monitored in real-time. They were heart rate, statistical index RMSSD, total spectral power, high frequency power and the ratio of low frequency to high frequency power (LFP:HFP). The effectiveness of HRV indices was tested on an ECG recording of a sleep study subject, who experienced cardiac arrhythmia. Cyclic changes observed in total spectral power prior to onset of cardiac arrhythmia could be attributed to REM sleep cycles. No other conclusive change in HRV indices was observed. The monitor's usefulness in predicting long-term prognosis of post-MI subjects was tested on ECG recordings from two subjects made immediately after conclusion of cardiac arrhythmia and during a follow-up visit. Both showed higher RMSSD, total spectral power and LFP:HFP ratio. Personalizing the monitor for each patient further improves its accuracy in measurement of various parameters.
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Swaroop S. Singh (2019) studied Cardiac arrhythmia. Real-time remote handheld ECG monitoring system was evaluated on Real-time identification of patterns preceding ventricular fibrillation (QRS complex and premature ventricular contractions). A real-time remote handheld ECG monitoring system identified QRS complexes with 99.34% sensitivity and premature ventricular contractions with 87.5% sensitivity.
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