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Motion Tracking System for Robust Non-Contact Blood Perfusion Sensor.

Masaaki Hashimoto1, Yoshihiro Taguchi2

  • 1School of Integrated Design Engineering, Keio University, 3-14-1, Hiyoshi, Yokohama 223-8522, Japan. hashimoto@naga.sd.keio.ac.jp.

Sensors (Basel, Switzerland)
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Summary

This study introduces a motion-robust laser Doppler flowmetry (LDF) system for non-contact blood perfusion sensing. The innovative system effectively suppresses motion artifacts, improving signal fidelity by up to 87% for medical diagnosis.

Keywords:
artifactblood perfusionlaser Doppler flowmetrymotion tracking

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Area of Science:

  • Biomedical Engineering
  • Optical Sensing

Background:

  • Laser Doppler flowmetry (LDF) is crucial for non-contact blood perfusion measurement.
  • Clinical application of LDF is hindered by motion artifacts, particularly in endoscopic procedures.
  • Axial surface displacement causes significant interference in LDF readings.

Purpose of the Study:

  • To develop a motion-robust LDF system to overcome limitations of current endoscopic LDF.
  • To enable accurate blood perfusion measurements in the presence of organ motion.
  • To reduce motion artifacts in LDF measurements for improved medical diagnosis.

Main Methods:

  • A novel LDF system incorporating a motion-tracking focusing lens was designed.
  • The system utilizes a low-frequency reference signal within optical data to track target motion.
  • Feasibility was tested using a microfluidic phantom with controlled axial movement.

Main Results:

  • The motion-tracking system successfully suppressed axial motion artifacts in perfusion readings.
  • Frequency spectra analysis confirmed the reduction of motion-induced interference.
  • Perfusion signal fidelity was improved by up to 87% with motion feedback compared to no feedback.

Conclusions:

  • The developed motion-robust LDF system demonstrates feasibility for accurate blood perfusion sensing.
  • The motion-tracking capability significantly enhances the reliability of LDF measurements in dynamic environments.
  • This technology holds promise for improved non-contact medical diagnosis in clinical settings.