The validity of using inertial measurement units to monitor the torso and pelvis sagittal plane motion of elite rowers

被引:6
|
作者
Brice, Sara M. [1 ]
Millett, Emma L. [2 ,3 ]
Philippa, Bronson [4 ]
机构
[1] James Cook Univ, Coll Sci & Engn, Phys Sci, Townsville, Qld, Australia
[2] New South Wales Inst Sport, Biomech, Sydney, NSW, Australia
[3] Athlet Australia, Melbourne, Vic, Australia
[4] James Cook Univ, Coll Sci & Engn, Cairns, Qld, Australia
关键词
Rowing; biomechanics; engineering; measurement; RELIABILITY; KINEMATICS; SYSTEM; ANGLE;
D O I
10.1080/02640414.2022.2042146
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
In elite sport, inertial measurement units (IMUs) are being used increasingly to measure movement in-field. IMU data commonly sought are body segment angles as this gives insights into how technique can be altered to improve performance and reduce injury risk. The purpose of this was to assess the validity of IMU use in rowing and identify if IMUs are capable of detecting differences in sagittal torso and pelvis angles that result from changes in stroke rates. Eight elite female rowers participated. Four IMUs were positioned along the torso and over the pelvis of each athlete. Reflective markers surrounded each IMU which were used to compute gold-standard data. Maxima, minima, angle range and waveforms for ten strokes at rates of 20, 24, 28 and 32 strokes per minute were analysed. Root mean square errors as a percentage of angle range fell between 1.44% and 8.43%. In most cases when significant differences (p < 0.05) in the angles were detected between stroke rates, this was observed in both IMU and gold-standard angle data. These findings suggest that IMUs are valid for measuring torso and pelvis angles when rowing and are capable of detecting differences that result from changes in stroke rate.
引用
收藏
页码:950 / 958
页数:9
相关论文
共 50 条
  • [41] Concurrent validity of an easy-to-use inertial measurement unit-system to evaluate sagittal plane segment kinematics during overground sprinting at different speeds
    de Ruiter, Cornelis J.
    Wilmes, Erik
    Brouwers, Susan A. J.
    Jagers, Erik C.
    van Dieen, Jaap H.
    SPORTS BIOMECHANICS, 2022,
  • [42] Reliability, Validity, and Sensitivity of Spatiotemporal Parameters in Bandy Sprint Skating Using Skate-Mounted Inertial Measurement Units
    Pojskic, Haris
    van den Tillaar, Roland
    Andersson, Hakan
    APPLIED SCIENCES-BASEL, 2024, 14 (12):
  • [43] Assessing the validity of inertial measurement units for shoulder kinematics using a commercial sensor-software system: A validation study
    Henschke, Jakob
    Kaplick, Hannes
    Wochatz, Monique
    Engel, Tilman
    HEALTH SCIENCE REPORTS, 2022, 5 (05)
  • [44] Measurement of uni-planar and sport specific trunk motion using magneto-inertial measurement units: The concurrent validity of Noraxon and Xsens systems relative to a retro-reflective system
    Cottam, Daniel S.
    Campbell, Amity C.
    Davey, Paul C.
    Kent, Peter
    Elliott, Bruce C.
    Alderson, Jacqueline A.
    GAIT & POSTURE, 2022, 92 : 129 - 134
  • [45] Estimating Whole-Body Walking Motion from Inertial Measurement Units at Wrist and Heels Using Deep Learning
    Kumano, Yuji
    Kanoga, Suguru
    Yamamoto, Masataka
    Takemura, Hiroshi
    Tada, Mitsunori
    INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY, 2023, 17 (03) : 217 - 225
  • [46] Sensor-to-body calibration procedure for clinical motion analysis of lower limb using magnetic and inertial measurement units
    Nazarahari, Milad
    Noamani, Alireza
    Ahmadian, Niloufar
    Rouhani, Hossein
    JOURNAL OF BIOMECHANICS, 2019, 85 : 224 - 229
  • [47] Estimating sagittal knee and ankle moment during running using only inertial measurement units: a top-down inverse dynamics approach
    van Middelaar, Robbert P.
    van Rijswijk, Nicolle
    Wouda, Frank
    Veltink, Peter H.
    Reenalda, Jasper
    SPORTS BIOMECHANICS, 2025,
  • [48] Reliability and Validity of a Posture Matching Method Using Inertial Measurement Unit-Based Motion Tracking System for Construction Jobs
    Lee, Wonil
    Lin, Jia-Hua
    Bao, Stephen
    Lin, Ken-Yu
    COMPUTING IN CIVIL ENGINEERING 2019: DATA, SENSING, AND ANALYTICS, 2019, : 589 - 597
  • [49] Automatic recognition of excavator working cycles using supervised learning and motion data obtained from inertial measurement units (IMUs)
    Amirmasoud Molaei
    Antti Kolu
    Kalle Lahtinen
    Marcus Geimer
    Construction Robotics, 2024, 8 (2)
  • [50] Lower-Body Walking Motion Estimation Using Only Two Shank-Mounted Inertial Measurement Units (IMUs)
    Li, Tong
    Wang, Lei
    Li, Qingguo
    Liu, Tao
    2020 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2020, : 1143 - 1148