Noise Reduction Technique for Single-Color Video Plethysmography Using Singular Spectrum Analysis

Area of Science:

• Biomedical Engineering
• Signal Processing
• Health Monitoring

Background:

• Contactless biological signal measurement using video cameras is gaining traction.
• Video plethysmography (VP) enables daily health management by extracting pulse waves from videos.
• Body movement introduces noise in VP, reducing the accuracy of vital signs like heart rate.

Purpose of the Study:

• To introduce a novel method for eliminating irregular noise in single-color video plethysmography.
• To improve the accuracy of heart rate estimation from video data, particularly for single-color videos.
• To overcome limitations of existing noise reduction techniques in near-infrared video plethysmography.

Main Methods:

• A new method combining singular spectrum analysis (SSA) with the circular autocorrelation function (CCF) was developed.
• The proposed method was applied to single-color video plethysmography to remove irregular noise.
• Performance was evaluated by comparing heart rate estimation accuracy against conventional methods.

Main Results:

• The proposed SSA-CCF method improved instantaneous heart rate estimation accuracy by approximately 44% compared to linear filtering.
• This novel approach demonstrated more precise heart rate estimations than multi-color video plethysmography.
• The method effectively reduced noise in single-color video plethysmography, enhancing biological information reliability.

Conclusions:

• The combined SSA-CCF method offers a robust solution for noise reduction in single-color video plethysmography.
• This technique significantly enhances the accuracy of contactless heart rate monitoring.
• The findings suggest potential for improved daily health management through more reliable video-based vital sign measurement.