Literature DB >> 22255575

Tests of wireless wearable sensor system in joint angle measurement of lower limbs.

Takashi Watanabe1, Hiroki Saito.   

Abstract

The aim of this study was to test the wireless wearable sensor system consists of inertial sensors considering application to rehabilitation. The sensor system was evaluated in measurement of hip, knee and ankle joint angles with healthy subjects comparing to those measured with a 3D motion measurement system. Then, the lower limb joint angles of elderly subjects including paralyzed subjects were measured during gait on the level floor with the sensor system. Evaluation of measured joint angles in comparison with the motion measurement system showed that mean values of the RMSE were smaller than 4 deg for all the joint angles, and mean values of the correlation coefficient were larger than 0.985 for hip and knee joint angles and about 0.90 for ankle joint angle. In measurement with elderly subjects, the sensor system showed some differences in joint angles between the paralyzed and the non-paralyzed sides.

Mesh:

Year:  2011        PMID: 22255575     DOI: 10.1109/IEMBS.2011.6091395

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  12 in total

1.  Wireless wearable range-of-motion sensor system for upper and lower extremity joints: a validation study.

Authors:  Yogaprakash Kumar; Shih-Cheng Yen; Arthur Tay; Wangwei Lee; Fan Gao; Ziyi Zhao; Jingze Li; Benjamin Hon; Tim Tian-Ma Xu; Angela Cheong; Karen Koh; Yee-Sien Ng; Effie Chew; Gerald Koh
Journal:  Healthc Technol Lett       Date:  2015-02-10

2.  Development of a prototype of portable FES rehabilitation system for relearning of gait for hemiplegic subjects.

Authors:  Takashi Watanabe; Shun Endo; Ryusei Morita
Journal:  Healthc Technol Lett       Date:  2016-09-12

Review 3.  Wearable knee health system employing novel physiological biomarkers.

Authors:  Omer T Inan; Daniel C Whittingslow; Caitlin N Teague; Sinan Hersek; Maziyar Baran Pouyan; Mindy Millard-Stafford; Geza F Kogler; Michael N Sawka
Journal:  J Appl Physiol (1985)       Date:  2017-07-27

4.  Accurate Prediction of Knee Angles during Open-Chain Rehabilitation Exercises Using a Wearable Array of Nanocomposite Stretch Sensors.

Authors:  David S Wood; Kurt Jensen; Allison Crane; Hyunwook Lee; Hayden Dennis; Joshua Gladwell; Anne Shurtz; David T Fullwood; Matthew K Seeley; Ulrike H Mitchell; William F Christensen; Anton E Bowden
Journal:  Sensors (Basel)       Date:  2022-03-24       Impact factor: 3.576

5.  Testing a Quaternion Conversion Method to Determine Human Three-Dimensional Tibiofemoral Angles During an In Vitro Simulated Jump Landing.

Authors:  Mirel Ajdaroski; James A Ashton-Miller; So Young Baek; Payam Mirshams Shahshahani; Amanda O Esquivel
Journal:  J Biomech Eng       Date:  2022-04-01       Impact factor: 2.097

6.  A Comparison of Inertial Measurement Unit and Motion Capture Measurements of Tibiofemoral Kinematics during Simulated Pivot Landings.

Authors:  So Young Baek; Mirel Ajdaroski; Payam Mirshams Shahshahani; Mélanie L Beaulieu; Amanda O Esquivel; James A Ashton-Miller
Journal:  Sensors (Basel)       Date:  2022-06-11       Impact factor: 3.847

7.  Effectiveness of variable-gain Kalman filter based on angle error calculated from acceleration signals in lower limb angle measurement with inertial sensors.

Authors:  Yuta Teruyama; Takashi Watanabe
Journal:  Comput Math Methods Med       Date:  2013-10-27       Impact factor: 2.238

8.  The use of accelerometers and gyroscopes to estimate hip and knee angles on gait analysis.

Authors:  Francesco Alonge; Elisa Cucco; Filippo D'Ippolito; Alessio Pulizzotto
Journal:  Sensors (Basel)       Date:  2014-05-13       Impact factor: 3.576

9.  Validation of the angular measurements of a new inertial-measurement-unit based rehabilitation system: comparison with state-of-the-art gait analysis.

Authors:  Alberto Leardini; Giada Lullini; Sandro Giannini; Lisa Berti; Maurizio Ortolani; Paolo Caravaggi
Journal:  J Neuroeng Rehabil       Date:  2014-09-11       Impact factor: 4.262

10.  Parameterization and reliability of single-leg balance test assessed with inertial sensors in stroke survivors: a cross-sectional study.

Authors:  David Perez-Cruzado; Manuel González-Sánchez; Antonio Ignacio Cuesta-Vargas
Journal:  Biomed Eng Online       Date:  2014-08-30       Impact factor: 2.819

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