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The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...
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Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
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A Doppler-Tolerant Ultrasonic Multiple Access Localization System for Human Gait Analysis.

Karalikkadan Ashhar1, Mohammad Omar Khyam2, Cheong Boon Soh3

  • 1School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. ashhar001@e.ntu.edu.sg.

Sensors (Basel, Switzerland)
|August 1, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a Doppler-tolerant ultrasonic system for precise human movement analysis. The technology accurately tracks lower limb motion during gait, offering a cost-effective solution for rehabilitation clinics.

Keywords:
channel multiple accessdoppler shift compensationgait analysismotion trackingultrasonic localization

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Area of Science:

  • Biomechanics
  • Sensor Technology
  • Rehabilitation Engineering

Background:

  • Accurate human movement analysis is crucial for rehabilitation.
  • Existing methods for tracking wearable mobile nodes can be costly or limited in duration.
  • Ultrasonic ranging offers a potential cost-effective solution for long-term, accurate tracking.

Purpose of the Study:

  • To develop and evaluate a Doppler-tolerant ultrasonic multiple access localization system.
  • To analyze gait parameters in human subjects using this novel system.
  • To assess the system's accuracy and reliability compared to optical motion capture.

Main Methods:

  • Employed multiple access techniques with linear chirp waveforms and narrow-band piezoelectric transducers.
  • Incorporated a Doppler shift compensation technique to maintain tracking accuracy.
  • Tracked the 3D trajectory of lower limbs in five healthy adults during treadmill walking.

Main Results:

  • The system demonstrated accurate tracking of lower limb trajectories.
  • Average Root Mean Square Error (RMSE) values were 16.75 mm (X), 14.68 mm (Y), and 20.20 mm (Z) compared to optical motion capture.
  • Quantified errors in spatial and temporal gait parameter estimation.

Conclusions:

  • Narrowband ultrasonic sensors can accurately track multiple mobile nodes for human gait analysis.
  • The developed Doppler-tolerant system shows promise for cost-effective and precise gait analysis in clinical settings.
  • The system's accuracy is comparable to established motion capture techniques.