PMID- 32807306
OWN - NLM
STAT- MEDLINE
DCOM- 20210514
LR  - 20210514
IS  - 1873-2380 (Electronic)
IS  - 0021-9290 (Linking)
VI  - 109
DP  - 2020 Aug 26
TI  - Reliability of a markerless motion capture system to measure the trunk, hip and 
      knee angle during walking on a flatland and a treadmill.
PG  - 109929
LID - S0021-9290(20)30352-3 [pii]
LID - 10.1016/j.jbiomech.2020.109929 [doi]
AB  - Markerless motion capture system (MLS) using an infrared sensor such as Microsoft 
      Kinect has been used for gait analysis. Several studies have shown that kinematic 
      measurements of trunk and lower limb joint angles during walking measured by MLS 
      are valid. However, the reproducibility, presence of systematic error, or degree 
      of random error of kinematic measurements during walking using MLS with Kinect v2 
      were not demonstrated. This study was made to confirm the reliability of 
      kinematic measurements using Kinect v2 during gait. Twenty-two young, injury-free 
      individuals volunteered to participate. Walks were made at 2 miles per hour (mph) 
      on both the flatland and the treadmill. Intra-class correlation coefficients 
      (ICCs) were calculated, systematic errors identified, and minimal detectable 
      changes (MDCs) were estimated to assess the reliability of kinematic measurements 
      of trunk, hip, and knee joint angles during walking. For trunk angles measured on 
      the flatland, ICC was higher than 0.6, systematic error was smaller, and MDC was 
      2.2 degrees  smaller than that in gait on the treadmill (6.6 degrees ). In hip joint angles 
      measured on the flatland, although systematic error was slight, ICC was not 
      higher than on the treadmill and MDC exceeded 5 degrees . The results for the knee joint 
      were similar to those of the hip joint. Kinect can detect kinematic abnormalities 
      of the trunk during slow walking on the flatland easier than on the treadmill.
CI  - Copyright (c) 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.
FAU - Tamura, Hiroyuki
AU  - Tamura H
AD  - Department of Rehabilitation, Hiroshima International University, Hiroshima, 
      Japan. Electronic address: hirobskmj@icloud.com.
FAU - Tanaka, Ryo
AU  - Tanaka R
AD  - Graduate School of Humanities and Social Sciences, Hiroshima University, 
      Hiroshima, Japan; Department of Rehabilitation, Hiroshima International 
      University, Hiroshima, Japan. Electronic address: ryotana@hiroshima-u.ac.jp.
FAU - Kawanishi, Hiromichi
AU  - Kawanishi H
AD  - System Friend Inc., Hiroshima, Japan. Electronic address: 
      kawanishi@systemfriend.co.jp.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20200701
PL  - United States
TA  - J Biomech
JT  - Journal of biomechanics
JID - 0157375
SB  - IM
MH  - Biomechanical Phenomena
MH  - Exercise Test
MH  - Gait
MH  - Humans
MH  - *Knee Joint
MH  - Reproducibility of Results
MH  - *Walking
OTO - NOTNLM
OT  - Gait
OT  - Kinematics
OT  - Microsoft Kinect v2
OT  - Reliability
COIS- Declaration of Competing Interest This study was supported by a grant from System 
      Friend Inc. (Hiroshima, Japan). Mr. Hiromichi Kawanishi is an employee of System 
      Friend Inc.
EDAT- 2020/08/19 06:00
MHDA- 2021/05/15 06:00
CRDT- 2020/08/19 06:00
PHST- 2019/03/27 00:00 [received]
PHST- 2020/06/13 00:00 [revised]
PHST- 2020/06/21 00:00 [accepted]
PHST- 2020/08/19 06:00 [entrez]
PHST- 2020/08/19 06:00 [pubmed]
PHST- 2021/05/15 06:00 [medline]
AID - S0021-9290(20)30352-3 [pii]
AID - 10.1016/j.jbiomech.2020.109929 [doi]
PST - ppublish
SO  - J Biomech. 2020 Aug 26;109:109929. doi: 10.1016/j.jbiomech.2020.109929. Epub 2020 
      Jul 1.