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Motion Artifact Canceling PPG Heart Rate Sensor Based on an Adaptive Filter Algorithm with Variable Tap Length.

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Summary

This study introduces a novel adaptive filter for photoplethysmographic (PPG) sensors to accurately measure heart rate (HR) during exercise. The new system effectively cancels motion artifacts (MA), improving HR estimation accuracy and reducing computational load.

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Area of Science:

Biomedical Engineering
Wearable Sensor Technology
Physiological Monitoring

Background:

Photoplethysmographic (PPG) sensors are widely used for heart rate (HR) estimation.
Motion artifacts (MA) significantly contaminate PPG signals during exercise, leading to inaccurate HR readings.
Existing MA cancellation techniques often use fixed adaptive filter parameters, limiting their effectiveness across different users and exercise intensities.

Purpose of the Study:

To develop an improved motion artifact (MA) cancellation technique for PPG-based heart rate (HR) sensors.
To propose a novel system utilizing a serially configured adaptive filter with variable tap length for enhanced MA cancellation.
To evaluate the performance of the proposed system against conventional parallel configurations.

Main Methods:

Development of a PPG heart rate sensor system incorporating a serially configured adaptive filter.
Implementation of a variable tap length within the adaptive filter algorithm to dynamically adjust to user and exercise variations.
Experimental validation with 13 subjects to compare the proposed serial configuration against a conventional parallel configuration.

Main Results:

The proposed serial configuration adaptive filter significantly outperformed the conventional parallel configuration in canceling motion artifacts.
The system achieved a minimum root mean square error (RMSE) of 9.97 beats per minute for heart rate estimation.
The novel approach demonstrated reduced computational complexity compared to existing methods.

Conclusions:

A serially configured adaptive filter with variable tap length offers a superior solution for MA cancellation in PPG HR sensors.
This technology enables more accurate and reliable heart rate monitoring during physical activity.
The reduced computational complexity makes the system suitable for practical implementation in wearable devices.