Literature DB >> 26947036

Gait characterization for osteoarthritis patients using wearable gait sensors (H-Gait systems).

Shigeru Tadano1, Ryo Takeda2, Keita Sasaki3, Tadashi Fujisawa3, Harukazu Tohyama4.   

Abstract

The objective of this work was to investigate the possibilities of using the wearable sensors-based H-Gait system in an actual clinical trial and proposes new gait parameters for characterizing OA gait. Seven H-Gait sensors, consisting of tri-axial inertial sensors, were attached to seven lower limb body segments (pelvis, both thighs, both shanks and both feet). The acceleration and angular velocity data measured were used to estimate three-dimensional kinematic parameters of patients during level walking. Three new parameters were proposed to assess the severity of OA based on the characteristics of these joint center trajectories in addition to conventional gait spatio-temporal parameters. The experiment was conducted on ten subjects with knee OA. The kinematic results obtained (hip, knee and ankle joint angles, joint trajectory in the horizontal and sagittal planes) were compared with those from a reference healthy (control) group. As a result, the angle between the right and left knee trajectories along with that of the ankle joint trajectories were almost twice as large (21.3° vs. 11.6° and 14.9° vs. 7.8°) compared to those of the healthy subjects. In conclusion, it was found that the ankle joints during stance abduct less to avoid adduction at the knee as the severity of OA increases and lead to more acute angles (less parallel) between the right and left knee/ankle joints in the horizontal plane. This method was capable to provide quantitative information about the gait of OA patients and has the advantage to allow for out-of-laboratory monitoring.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acceleration sensor; Gyro sensor; Kinematic gait parameters; Osteoarthritis; Spatio-temporal gait parameters; Three dimensional gait analysis

Mesh:

Year:  2016        PMID: 26947036     DOI: 10.1016/j.jbiomech.2016.01.017

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  15 in total

1.  Measuring clinically relevant knee motion with a self-calibrated wearable sensor.

Authors:  Todd J Hullfish; Feini Qu; Brendan D Stoeckl; Peter M Gebhard; Robert L Mauck; Josh R Baxter
Journal:  J Biomech       Date:  2019-04-05       Impact factor: 2.712

Review 2.  Gait metrics analysis utilizing single-point inertial measurement units: a systematic review.

Authors:  Ralph Jasper Mobbs; Jordan Perring; Suresh Mahendra Raj; Monish Maharaj; Nicole Kah Mun Yoong; Luke Wicent Sy; Rannulu Dineth Fonseka; Pragadesh Natarajan; Wen Jie Choy
Journal:  Mhealth       Date:  2022-01-20

Review 3.  Implantable biosensors for musculoskeletal health.

Authors:  Kylie E Nash; Keat Ghee Ong; Robert E Guldberg
Journal:  Connect Tissue Res       Date:  2022-02-17       Impact factor: 3.417

Review 4.  Inertial Measurement Units and Application for Remote Health Care in Hip and Knee Osteoarthritis: Narrative Review.

Authors:  Michael J Rose; Kerry E Costello; Samantha Eigenbrot; Kaveh Torabian; Deepak Kumar
Journal:  JMIR Rehabil Assist Technol       Date:  2022-06-02

5.  Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters.

Authors:  Felix Kluge; Heiko Gaßner; Julius Hannink; Cristian Pasluosta; Jochen Klucken; Björn M Eskofier
Journal:  Sensors (Basel)       Date:  2017-06-28       Impact factor: 3.576

6.  Wireless Motion Sensors-Useful in Assessing the Effectiveness of Physiotherapeutic Methods Used in Patients with Knee Osteoarthritis-Preliminary Report.

Authors:  Jagoda Goślińska; Agnieszka Wareńczak; Margaret Miedzyblocki; Krystyna Hejdysz; Ewa Adamczyk; Paweł Sip; Ewa Chlebuś; Jarosław Gośliński; Piotr Owczarek; Adam Woźniak; Przemysław Lisiński
Journal:  Sensors (Basel)       Date:  2020-04-16       Impact factor: 3.576

7.  Influence of BMI on Gait Characteristics of Young Adults: 3D Evaluation Using Inertial Sensors.

Authors:  Valeria Rosso; Valentina Agostini; Ryo Takeda; Shigeru Tadano; Laura Gastaldi
Journal:  Sensors (Basel)       Date:  2019-09-28       Impact factor: 3.576

8.  Validity of Measurement for Trailing Limb Angle and Propulsion Force during Gait Using a Magnetic Inertial Measurement Unit.

Authors:  Takasuke Miyazaki; Masayuki Kawada; Yuki Nakai; Ryoji Kiyama; Kazunori Yone
Journal:  Biomed Res Int       Date:  2019-12-19       Impact factor: 3.411

9.  Percentiles and Reference Values for Accelerometric Gait Assessment in Women Aged 50-80 Years.

Authors:  Raquel Leirós-Rodríguez; Jesús García-Liñeira; Anxela Soto-Rodríguez; Jose L García-Soidán
Journal:  Brain Sci       Date:  2020-11-09

10.  A Wearable Magneto-Inertial System for Gait Analysis (H-Gait): Validation on Normal Weight and Overweight/Obese Young Healthy Adults.

Authors:  Valentina Agostini; Laura Gastaldi; Valeria Rosso; Marco Knaflitz; Shigeru Tadano
Journal:  Sensors (Basel)       Date:  2017-10-21       Impact factor: 3.576

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