Literature DB >> 33467072

Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation.

Marco Germanotta1, Ilaria Mileti2, Ilaria Conforti2, Zaccaria Del Prete2, Irene Aprile1, Eduardo Palermo2.   

Abstract

The estimation of the body's center of mass (CoM) trajectory is typically obtained using force platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory setting. The use of magneto-inertial measurement units (MIMUs) allows for more ecological evaluations, and previous studies proposed methods based on either a single sensor or a sensors' network. In this study, we compared the accuracy of two methods based on MIMUs. Body CoM was estimated during six postural tasks performed by 15 healthy subjects, using data collected by a single sensor on the pelvis (Strapdown Integration Method, SDI), and seven sensors on the pelvis and lower limbs (Biomechanical Model, BM). The accuracy of the two methods was compared in terms of RMSE and estimation of posturographic parameters, using an OS as reference. The RMSE of the SDI was lower in tasks with little or no oscillations, while the BM outperformed in tasks with greater CoM displacement. Moreover, higher correlation coefficients were obtained between the posturographic parameters obtained with the BM and the OS. Our findings showed that the estimation of CoM displacement based on MIMU was reasonably accurate, and the use of the inertial sensors network methods should be preferred to estimate the kinematic parameters.

Entities:  

Keywords:  CoM displacement; IMUs; balance; human kinematic measurement; posturography

Mesh:

Year:  2021        PMID: 33467072      PMCID: PMC7830449          DOI: 10.3390/s21020601

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  40 in total

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Review 2.  Postural control in the older adult.

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Journal:  J Appl Biomech       Date:  2015-07-08       Impact factor: 1.833

5.  Discriminant validity of 3D joint kinematics and centre of mass displacement measured by inertial sensor technology during the unipodal stance task.

Authors:  R van der Straaten; M Wesseling; I Jonkers; B Vanwanseele; A K B D Bruijnes; J Malcorps; J Bellemans; J Truijen; L De Baets; A Timmermans
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Review 7.  Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders.

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Journal:  Sensors (Basel)       Date:  2020-06-07       Impact factor: 3.576

Review 8.  Wearable Inertial Sensors to Assess Standing Balance: A Systematic Review.

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Journal:  Sensors (Basel)       Date:  2019-09-20       Impact factor: 3.576

9.  Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network.

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Journal:  Sensors (Basel)       Date:  2019-09-23       Impact factor: 3.576

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4.  Cortical correlates in upright dynamic and static balance in the elderly.

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Journal:  Sci Rep       Date:  2021-07-08       Impact factor: 4.379

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