Development of automated gait assessment algorithm using three inertial sensors and its reliability

Thurmon Lockhart, Rahul Soangra, Charles Chung, Christopher Frames, Peter Fino, Jian Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The aim of this study was to develop a sensor based gait assessment algorithm and investigate the concurrent test-retest (split-half) reliability and inter-instrument reliability of inertial measurement units (IMUs). Nine healthy young adults (age = 28±5 years) performed 10 walking trials at self-selected pace over a 15 m long walkway in the locomotion laboratory. Their accelerations and angular velocities were measured and an automated algorithm was built to extract gait parameters. For each walking trial, data was simultaneously collected using the IMU called Technology Enabled Medical Precision and Observation (TEMPO) and Qualisys infrared camera system with force plates, to determine its reliability. Test-retest reliability of the TEMPO system was measured by ICC (3,1) and inter-instrument (between camera system with force plate and TEMPO) reliability was measured by ICC(2,1). Test-retest reliability of the TEMPO system was excellent for foot swing angle, step length, and stride length (ICCs between 0.79 and 0.93), fair to good for required coefficient of friction (RCOF) and all the temporal gait parameters except right swing time (ICCs between 0.41 and 0.73), and poor for right swing time (ICC of 0.03). Left stance time was the only parameter that had high inter-instrument reliability (ICC of 0.87) and double support time and right stance time with fair reliability (ICCs of 0.47 and 0.55), whereas other parameters had poor reliability (ICCs between <0.001 and 0.25). The results of this study demonstrated that the automated gait assessment algorithm using the TEMPO system is highly reliable, yet it needs to be improved because of the low levels of agreement with the laboratory based gait analysis systems.

Original languageEnglish (US)
Title of host publication51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014
PublisherISA - Instrumentation, Systems, and Automation Society
Pages297-306
Number of pages10
ISBN (Print)9781632663917
StatePublished - 2014
Externally publishedYes
Event51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014 - Denver, CO, United States
Duration: Apr 4 2014Apr 6 2014

Other

Other51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014
CountryUnited States
CityDenver, CO
Period4/4/144/6/14

Fingerprint

gait
sensors
Sensors
walking
Units of measurement
Cameras
cameras
Gait analysis
locomotion
systems analysis
Angular velocity
angular velocity
coefficient of friction
Friction
Infrared radiation

Keywords

  • Accelerometry
  • Gait assessment
  • Reliability

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Instrumentation

Cite this

Lockhart, T., Soangra, R., Chung, C., Frames, C., Fino, P., & Zhang, J. (2014). Development of automated gait assessment algorithm using three inertial sensors and its reliability. In 51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014 (pp. 297-306). ISA - Instrumentation, Systems, and Automation Society.

Development of automated gait assessment algorithm using three inertial sensors and its reliability. / Lockhart, Thurmon; Soangra, Rahul; Chung, Charles; Frames, Christopher; Fino, Peter; Zhang, Jian.

51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014. ISA - Instrumentation, Systems, and Automation Society, 2014. p. 297-306.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lockhart, T, Soangra, R, Chung, C, Frames, C, Fino, P & Zhang, J 2014, Development of automated gait assessment algorithm using three inertial sensors and its reliability. in 51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014. ISA - Instrumentation, Systems, and Automation Society, pp. 297-306, 51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014, Denver, CO, United States, 4/4/14.
Lockhart T, Soangra R, Chung C, Frames C, Fino P, Zhang J. Development of automated gait assessment algorithm using three inertial sensors and its reliability. In 51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014. ISA - Instrumentation, Systems, and Automation Society. 2014. p. 297-306
Lockhart, Thurmon ; Soangra, Rahul ; Chung, Charles ; Frames, Christopher ; Fino, Peter ; Zhang, Jian. / Development of automated gait assessment algorithm using three inertial sensors and its reliability. 51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014. ISA - Instrumentation, Systems, and Automation Society, 2014. pp. 297-306
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