Consideration of Calculation Process Assuming Heart Rate Variability Analysis Using Wearable ECG Devices

Area of Science:

• Biomedical Engineering
• Physiological Monitoring
• Wearable Technology

Background:

• Shirt-type wearable electrocardiogram (ECG) devices utilize dry electrodes susceptible to motion artifacts during daily activities.
• Noise and artifacts in measured ECG signals can compromise the accuracy of heart rate variability (HRV) analysis.

Purpose of the Study:

• To determine an effective heart rate variability (HRV) calculation process for shirt-type wearable ECG devices.
• To address the challenges posed by noise and artifacts in ECG data from wearable sensors.

Main Methods:

• Implementing accurate R wave detection algorithms.
• Developing methods for excluding heart rate interval (RRI) outliers.
• Establishing techniques to complement missing RRI data.

Main Results:

• Experimental validation confirmed the effectiveness of the proposed HRV calculation process.
• The combined methods significantly improved the reliability of HRV metrics derived from wearable ECG devices.

Conclusions:

• A comprehensive HRV calculation strategy involving R wave detection, outlier exclusion, and data complementation is essential for wearable ECG devices.
• This approach enhances the accuracy and dependability of physiological monitoring using consumer-grade wearable technology.