PMID- 30326570
OWN - NLM
STAT- MEDLINE
DCOM- 20181211
LR  - 20181211
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 18
IP  - 10
DP  - 2018 Oct 15
TI  - Inertial Sensor Angular Velocities Reflect Dynamic Knee Loading during Single 
      Limb Loading in Individuals Following Anterior Cruciate Ligament Reconstruction.
LID - 10.3390/s18103460 [doi]
LID - 3460
AB  - Difficulty quantifying knee loading deficits clinically in individuals following 
      anterior cruciate ligament reconstruction (ACLr) may underlie their persistence. 
      Expense associated with quantifying knee moments (KMom) and power (KPow) with 
      gold standard techniques precludes their use in the clinic. As segment and joint 
      kinematics are used to calculate moments and power, it is possible that more 
      accessible inertial sensor technology can be used to identify knee loading 
      deficits. However, it is unknown if angular velocities measured with inertial 
      sensors provide meaningful information regarding KMom/KPow during dynamic tasks 
      post-ACLr. Twenty-one individuals 5.1 +/- 1.5 months post-ACLr performed a single 
      limb loading task, bilaterally. Data collected concurrently using a marker-based 
      motion system and gyroscopes positioned lateral thighs/shanks. Intraclass 
      correlation coefficients (ICC)(2,k) determined concurrent validity. To determine 
      predictive ability of angular velocities for KMom/KPow, separate stepwise linear 
      regressions performed using peak thigh, shank, and knee angular velocities 
      extracted from gyroscopes. ICCs were greater than 0.947 (p < 0.001) for all 
      variables. Thigh (r = 0.812 and r = 0.585; p < 0.001) and knee (r = 0.806 and r = 
      0.536; p < 0.001) angular velocities were strongly and moderately correlated to 
      KPow and KMom, respectively. High ICCs indicated strong agreement between 
      measurement systems. Thigh angular velocity (R(2) = 0.66; p < 0.001) explained 66% 
      of variance in KPow suggesting gyroscopes provide meaningful information 
      regarding KPow. Less expensive inertial sensors may be helpful in identifying 
      deficits clinically.
FAU - Pratt, Kristamarie A
AU  - Pratt KA
AD  - Human Performance Laboratory, Division of Biokinesiology and Physical Therapy, 
      University of Southern California, 1540 E Alcazar St., CHP-155, Los Angeles, CA 
      90089-9006, USA. kristamarie.pratt@gmail.com.
AD  - Department of Rehabilitation Sciences, University of Hartford, 200 Bloomfield 
      Ave, West Hartford, CT 06117, USA. kristamarie.pratt@gmail.com.
FAU - Sigward, Susan M
AU  - Sigward SM
AD  - Human Performance Laboratory, Division of Biokinesiology and Physical Therapy, 
      University of Southern California, 1540 E Alcazar St., CHP-155, Los Angeles, CA 
      90089-9006, USA. sigward@pt.usc.edu.
LA  - eng
GR  - 5R24HD065688-05/Eunice Kennedy Shriver National Institute of Child Health and 
      Human Development/
GR  - K12 HD0055929/National Center for Medical Rehabilitation Research/
PT  - Journal Article
DEP - 20181015
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
MH  - Adult
MH  - *Anterior Cruciate Ligament Reconstruction
MH  - Biomechanical Phenomena
MH  - Female
MH  - Humans
MH  - Knee/*physiology
MH  - Knee Joint/physiology
MH  - Male
MH  - Monitoring, Physiologic/instrumentation/*methods
MH  - Thigh/physiology
PMC - PMC6210898
OTO - NOTNLM
OT  - angular velocity
OT  - anterior cruciate ligament
OT  - gyroscope
OT  - inertial sensors
OT  - knee
OT  - power
OT  - rehabilitation
COIS- The authors declare no conflict of interest.
EDAT- 2018/10/18 06:00
MHDA- 2018/12/12 06:00
PMCR- 2018/10/01
CRDT- 2018/10/18 06:00
PHST- 2018/09/06 00:00 [received]
PHST- 2018/10/02 00:00 [revised]
PHST- 2018/10/03 00:00 [accepted]
PHST- 2018/10/18 06:00 [entrez]
PHST- 2018/10/18 06:00 [pubmed]
PHST- 2018/12/12 06:00 [medline]
PHST- 2018/10/01 00:00 [pmc-release]
AID - s18103460 [pii]
AID - sensors-18-03460 [pii]
AID - 10.3390/s18103460 [doi]
PST - epublish
SO  - Sensors (Basel). 2018 Oct 15;18(10):3460. doi: 10.3390/s18103460.