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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
Published on: December 11, 2019
Lessons from a multicenter clinical trial with an approved wearable electrocardiogram: issues and practical
Ki Young Huh1, Sae Im Jeong1, Hyounggyoon Yoo2
1Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Seoul National University Hospital, Seoul 03080, Korea.
This study evaluated wearable electrocardiograms (ECGs) in a multicenter trial. Results show significant data discrepancies between centers, highlighting the need for improved validation before widespread clinical use.
Area of Science:
- Biomedical Engineering
- Cardiology
- Clinical Trials
Background:
- Wearable electrocardiograms (ECGs) are increasingly used in clinical practice.
- Standardized validation methods for wearable ECGs are currently lacking.
Purpose of the Study:
- To perform an exploratory evaluation of a multicenter clinical trial using an approved wearable patch ECG.
- To assess the feasibility and data quality of wearable ECG implementation across different study centers.
Main Methods:
- A multicenter clinical trial involving 55 healthy male adults across 2 study centers.
- Deployment of approved wearable patch ECGs for 6 hours.
- Correlation analysis with conventional pulse oximetry and evaluation of data transmission status (valid, invalid, missing).
Main Results:
- Overall, 77.40% of heart rate data from wearable ECGs were valid.
- Significant differences in data validity and missingness were observed between the two centers.
- A poor correlation (ICC = 0.0454) was found between wearable ECG and pulse oximetry measurements.
- Missing data rates were 24.77% in center 1 versus 11.77% in center 2.
Conclusions:
- The study evaluated the multicenter feasibility of implementing wearable ECGs.
- Results indicate a need for systems to address multicenter discrepancies and artifact removal before clinical trials.
- Further development is required to standardize validation and ensure reliable data acquisition from wearable ECG devices.
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