[Study on resistance to motion artifact in pulse oximetry measurement using segment filter method].

Area of Science:

• Biomedical Engineering
• Signal Processing
• Medical Devices

Context:

• Pulse oximetry is crucial for monitoring blood oxygen saturation.
• Motion artifacts significantly degrade the accuracy of pulse oximetry readings.
• Existing methods often struggle to effectively mitigate motion-induced interference.

Purpose:

• To develop and evaluate a robust signal processing method for reducing motion artifacts in pulse oximetry.
• To enhance the reliability of oxygen saturation measurements in the presence of physiological movement.
• To assess the computational efficiency of the proposed artifact reduction technique.

Summary:

• A novel method combining differential threshold segmentation and median filtering, augmented with a window moving average filter, was proposed to eliminate abrupt and periodic motion artifacts.
• Experiments using a self-made reflectance oximeter system demonstrated the method's effectiveness in reducing common artifact motion interference in photoplethysmography (PPG) signals.
• Analysis of the ratio of AC and DC components in red and infrared signals confirmed the method's ability to reduce errors and stabilize false readings during finger motion.

Impact:

• The proposed method significantly improves the accuracy and reliability of pulse oximetry measurements, particularly in mobile or uncooperative patients.
• It offers a computationally inexpensive solution, enabling real-time PPG signal processing on hardware with limited resources.
• This advancement has the potential to enhance patient monitoring in diverse clinical and remote healthcare settings.