Research on heart rate extraction method based on mobile phone video

Area of Science:

• Biomedical Engineering
• Digital Health
• Signal Processing

Background:

• Heart rate monitoring is crucial for diagnosing cardiovascular diseases.
• Mobile phone-based heart rate extraction is a growing research area.
• Existing methods face accuracy limitations due to illumination, frame rate, and resolution.

Purpose of the Study:

• To develop a novel heart rate extraction method using mobile phone video.
• To address the impact of environmental factors on heart rate detection accuracy.
• To improve the precision of remote heart rate monitoring.

Main Methods:

• Utilized mobile phone camera to record finger videos.
• Applied iterative thresholding for region of interest (ROI) extraction.
• Employed Butterworth filters and an adaptive peak extraction algorithm for signal processing and heart rate calculation.

Main Results:

• The proposed method demonstrated high accuracy (99.32%) under optimal lighting conditions.
• Accuracy improved by 0.9% with increased frame rate (30 to 60 fps).
• Accuracy improved by 1.12% with increased resolution (1080p to 2160p).
• Significant accuracy drop (to 72.23%) observed under poor lighting.

Conclusions:

• The novel mobile video method offers superior accuracy compared to existing techniques.
• Lighting conditions significantly impact heart rate extraction accuracy.
• The method holds potential for telemedicine and daily health monitoring applications.