Literature DB >> 31926830

Validity of using wearable inertial sensors for assessing the dynamics of standing balance.

Alireza Noamani1, Milad Nazarahari2, Justin Lewicke3, Albert H Vette4, Hossein Rouhani5.   

Abstract

Observational balance tests (e.g., Berg Balance Scale) are used to evaluate fall-risk. However, they tend to be subjective, and their reliability and sensitivity can be limited. The use of in-lab equipment for objective balance evaluation has not been common in clinical practice, due to the requirement of an equipped lab space. While inertial measurement units (IMUs) enable objective out-of-lab balance assessment, their accuracy has not been validated. This study aims to investigate the accuracy of IMUs against in-lab equipment for characterizing standing balance. Ten non-disabled individuals participated in a two-minute standing test on a force-plate. Four approaches were used for estimating inter-segmental moments and center of pressure (COP) position in a four-segment model: (1) camera-based bottom-up approach; (2) camera-based top-down approach; (3) IMU-based (accelerometer) top-down approach; and (4) IMU-based (accelerometer and gyroscope) top-down approach. Approaches 2 to 4 resulted in high accuracy compared to the reference, Approach 1. The root-mean-square errors in estimating the segments' orientation, ground reaction forces, COP position, and joint moments were smaller than 0.3°, 0.2 N/kg, 1.5 mm, and 0.016N·m/kg, respectively. Since no significant differences were observed between the accuracy of Approaches 3 and 4, only accelerometer recordings are needed and could be recommended for monitoring standing balance.
Copyright © 2019 IPEM. Published by Elsevier Ltd. All rights reserved.

Keywords:  Center of pressure; Inertial measurement unit; Inverse dynamics; Joint moments; Measurement error

Mesh:

Year:  2020        PMID: 31926830     DOI: 10.1016/j.medengphy.2019.10.018

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  12 in total

1.  Quantification of Triple Single-Leg Hop Test Temporospatial Parameters: A Validated Method using Body-Worn Sensors for Functional Evaluation after Knee Injury.

Authors:  Niloufar Ahmadian; Milad Nazarahari; Jackie L Whittaker; Hossein Rouhani
Journal:  Sensors (Basel)       Date:  2020-06-19       Impact factor: 3.576

2.  Physiological Vibration Acceleration (Phybrata) Sensor Assessment of Multi-System Physiological Impairments and Sensory Reweighting Following Concussion.

Authors:  John D Ralston; Ashutosh Raina; Brian W Benson; Ryan M Peters; Joshua M Roper; Andreas B Ralston
Journal:  Med Devices (Auckl)       Date:  2020-12-08

3.  Validity and Reliability of the Inertial Measurement Unit for Barbell Velocity Assessments: A Systematic Review.

Authors:  Filipe Manuel Clemente; Zeki Akyildiz; José Pino-Ortega; Markel Rico-González
Journal:  Sensors (Basel)       Date:  2021-04-03       Impact factor: 3.576

4.  Development and Evaluation of BenchBalance: A System for Benchmarking Balance Capabilities of Wearable Robots and Their Users.

Authors:  Cristina Bayón; Gabriel Delgado-Oleas; Leticia Avellar; Francesca Bentivoglio; Francesco Di Tommaso; Nevio L Tagliamonte; Eduardo Rocon; Edwin H F van Asseldonk
Journal:  Sensors (Basel)       Date:  2021-12-24       Impact factor: 3.576

5.  A Wearable System Based on Multiple Magnetic and Inertial Measurement Units for Spine Mobility Assessment: A Reliability Study for the Evaluation of Ankylosing Spondylitis.

Authors:  Adriana Martínez-Hernández; Juan S Perez-Lomelí; Ruben Burgos-Vargas; Miguel A Padilla-Castañeda
Journal:  Sensors (Basel)       Date:  2022-02-10       Impact factor: 3.576

Review 6.  Inertial Motion Capture-Based Wearable Systems for Estimation of Joint Kinetics: A Systematic Review.

Authors:  Chang June Lee; Jung Keun Lee
Journal:  Sensors (Basel)       Date:  2022-03-25       Impact factor: 3.576

7.  Internal Consistency of Sway Measures via Embedded Head-Mounted Accelerometers: Implications for Neuromotor Investigations.

Authors:  Andrew P Lapointe; Jessica N Ritchie; Rachel V Vitali; Joel S Burma; Ateyeh Soroush; Ibukunoluwa Oni; Jeff F Dunn
Journal:  Sensors (Basel)       Date:  2021-06-30       Impact factor: 3.576

8.  Evaluation of Concurrent Validity between a Smartphone Self-Test Prototype and Clinical Instruments for Balance and Leg Strength.

Authors:  Linda Mansson; Pernilla Bäckman; Fredrik Öhberg; Jonas Sandlund; Jonas Selling; Marlene Sandlund
Journal:  Sensors (Basel)       Date:  2021-03-04       Impact factor: 3.576

9.  Postural control strategy after incomplete spinal cord injury: effect of sensory inputs on trunk-leg movement coordination.

Authors:  Alireza Noamani; Jean-François Lemay; Kristin E Musselman; Hossein Rouhani
Journal:  J Neuroeng Rehabil       Date:  2020-10-27       Impact factor: 4.262

10.  Detection of Postural Control in Young and Elderly Adults Using Deep and Machine Learning Methods with Joint-Node Plots.

Authors:  Posen Lee; Tai-Been Chen; Chi-Yuan Wang; Shih-Yen Hsu; Chin-Hsuan Liu
Journal:  Sensors (Basel)       Date:  2021-05-05       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.