[The study on extraction method of pulse rate variability in daily unsupervised state]

Area of Science:

• Biomedical Engineering
• Physiological Monitoring
• Wearable Technology

Background:

• Traditional pulse rate variability (PRV) extraction is often compromised by daily activities like exercise and variations in blood perfusion.
• Existing methods lack the stability and accuracy required for reliable PRV monitoring in real-world, unsupervised conditions.

Purpose of the Study:

• To develop and validate a novel method for detecting pulse signals and extracting PRV from the post-ear region.
• To enhance the accuracy and stability of PRV measurements during various daily life activities.

Main Methods:

• Development of a wearable post-ear pulse signal detection system transmitting data via Bluetooth to an Android phone.
• Comparative analysis using synchronous data acquisition of electrocardiogram (ECG) and finger-based pulse signals against the post-ear pulse signal.
• Experimental validation across nine conditions including static, motion, chewing, and talking states.

Main Results:

• The post-ear pulse signal demonstrated significantly greater stability and richer information compared to traditional finger-based pulse signals.
• PRV extraction from the post-ear signal achieved high accuracy, exceeding 98.000% across all nine experimental conditions.
• The proposed method proved robust against common daily interferences.

Conclusions:

• The post-ear pulse signal detection and PRV extraction method offers high accuracy and excellent stability for daily life monitoring.
• This approach provides a practical and user-friendly solution for accurate PRV assessment under unsupervised conditions.
• The findings present a promising new avenue for reliable physiological monitoring outside clinical settings.