Examination of the reliability of an inertial sensor-based gait analysis system

被引:16
|
作者
Orlowski, Katja [1 ,2 ]
Eckardt, Falko [2 ]
Herold, Fabian [2 ]
Aye, Norman [2 ]
Edelmann-Nusser, Juergen [2 ]
Witte, Kerstin [2 ]
机构
[1] Brandenburg Univ Appl Sci, Dept Comp Sci & Media, Magdeburger Str 50, D-14770 Brandenburg, Germany
[2] Otto von Guericke Univ, Dept Sport Sci, Magdeburg, Germany
来源
关键词
algorithms; assistive technology for physiotherapists; gait analysis; gait parameters; reliability; test-retest; TEST-RETEST RELIABILITY; MOTION SENSORS; BALANCE; ACCELEROMETRY; VARIABILITY; STABILITY; AGREEMENT; PEOPLE;
D O I
10.1515/bmt-2016-0067
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Gait analysis is an important and useful part of the daily therapeutic routine. InvestiGAIT, an inertial sensor-based system, was developed for using in different research projects with a changing number and position of sensors and because commercial systems do not capture the motion of the upper body. The current study is designed to evaluate the reliability of InvestiGAIT consisting of four off-the-shelf inertial sensors and in-house capturing and analysis software. Besides the determination of standard gait parameters, the motion of the upper body (pelvis and spine) can be investigated. Kinematic data of 25 healthy individuals (age: 25.6 +/- 3.3 years) were collected using a test-retest design with 1 week between measurement sessions. We calculated different parameters for absolute [e.g. limits of agreement (LoA)] and relative reliability [intraclass correlation coefficients (ICC)]. Our results show excellent ICC values for most of the gait parameters. Midswing height (MH), height difference (HD) of initial contact (IC) and terminal contact (TC) and stride length (SL) are the gait parameters, which did not exhibit acceptable values representing absolute reliability. Moreover, the parameters derived from the motion of the upper body (pelvis and spine) show excellent ICC values or high correlations. Our results indicate that InvestiGAIT is suitable for reliable measurement of almost all the considered gait parameters.
引用
收藏
页码:615 / 622
页数:8
相关论文
共 50 条
  • [1] Examination of the reliability of an inertial sensor-based gait analysis system
    Orlowski, Katja (katja.orlowski@th-brandenburg.de), 2017, Walter de Gruyter GmbH (62):
  • [2] Inertial Sensor-Based Smoother for Gait Analysis
    Suh, Young Soo
    SENSORS, 2014, 14 (12): : 24338 - 24357
  • [3] Inertial Sensor-Based Gait Recognition: A Review
    Sprager, Sebastijan
    Juric, Matjaz B.
    SENSORS, 2015, 15 (09) : 22089 - 22127
  • [4] Sofigait-A Wireless Inertial Sensor-Based Gait Sonification System
    Linnhoff, Dagmar
    Ploigt, Roy
    Mattes, Klaus
    SENSORS, 2022, 22 (22)
  • [5] Inertial Sensor-Based Two Feet Motion Tracking for Gait Analysis
    Hung, Tran Nhat
    Suh, Young Soo
    SENSORS, 2013, 13 (05) : 5614 - 5629
  • [6] Reliability and validity of a new, sensor-based system for gait analysis in patients with multiple sclerosis
    Flachenecker, F.
    Gassner, H.
    Lee, D. -H.
    Eskofier, B.
    Klucken, J.
    Flachenecker, P.
    Linker, R.
    MULTIPLE SCLEROSIS JOURNAL, 2017, 23 : 148 - 149
  • [7] A Wearable Sensor-based System For Gait Analysis That Is Robust To Gait Variations
    Meier, Tess B.
    Spencer, Alexander
    Chiodini, John P.
    Shiwani, Bhawna
    Roy, Serge H.
    DeLuca, Gianluca
    Kline, Joshua C.
    Contessa, Paola
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2021, 53 (08): : 53 - 53
  • [8] An Inertial Sensor based Balance and Gait Analysis System
    Wang, Wei-Hsin
    Chung, Pau-Choo
    Yang, Guo-Liang
    Lin, Chien-Wen
    Hsu, Yu-Liang
    Pai, Ming-Chyi
    2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2015, : 2636 - 2639
  • [9] Inertial Sensor-Based Respiration Analysis
    Karacocuk, Gurkan
    Hoeflinger, Fabian
    Zhang, Rui
    Reindl, Leonhard M.
    Laufer, Bernhard
    Moeller, Knut
    Roeell, Mareike
    Zdzieblik, Denise
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 68 (11) : 4268 - 4275
  • [10] An inertial sensor-based algorithm for turning detection during gait
    Meng, Lin
    Huang, Xiayu
    Yang, Yifan
    Pang, Jun
    Chen, Lei
    Ming, Dong
    2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), 2021, : 6372 - 6375