PMID- 25405437
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20160218
LR  - 20141121
IS  - 0067-8856 (Print)
IS  - 0067-8856 (Linking)
VI  - 50
DP  - 2014
TI  - Development of automated gait assessment algorithm using three inertial sensors 
      and its reliability.
PG  - 297-306
AB  - 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.
FAU - Lockhart, Thurmon E
AU  - Lockhart TE
AD  - Virginia Tech - Wake Forest University, Blacksburg.
FAU - Soangra, Rahul
AU  - Soangra R
FAU - Chung, Charles
AU  - Chung C
FAU - Frames, Christopher
AU  - Frames C
FAU - Fino, Peter
AU  - Fino P
FAU - Zhang, Jian
AU  - Zhang J
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Biomed Sci Instrum
JT  - Biomedical sciences instrumentation
JID - 0140524
EDAT- 2014/11/19 06:00
MHDA- 2014/11/19 06:01
CRDT- 2014/11/19 06:00
PHST- 2014/11/19 06:00 [entrez]
PHST- 2014/11/19 06:00 [pubmed]
PHST- 2014/11/19 06:01 [medline]
PST - ppublish
SO  - Biomed Sci Instrum. 2014;50:297-306.