Literature DB >> 16321638

The accuracy of measuring the kinematics of rising from a chair with accelerometers and gyroscopes.

Miranda C Boonstra1, Rienk M A van der Slikke, Noël L W Keijsers, Rob C van Lummel, Maarten C de Waal Malefijt, Nico Verdonschot.   

Abstract

The purpose of this study was to assess the accuracy of measuring angle and angular velocity of the upper body and upper leg during rising from a chair with accelerometers, using low-pass filtering of the accelerometer signal. Also, the improvement in accuracy of the measurement with additional use of high-pass filtered gyroscopes was assessed. Two uni-axial accelerometers and one gyroscope (DynaPort) per segment were used to measure angles and angular velocities of upper body and upper leg. Calculated angles and angular velocities were compared to a high-quality optical motion analysis system (Optotrak), using root mean squared error (RMS) and correlation coefficient (r) as parameters. The results for the sensors showed that two uni-axial accelerometers give a reasonable accurate measurement of the kinematics of rising from a chair (RMS = 2.9, 3.5, and 2.6 degrees for angle and RMS = 9.4, 18.4, and 11.5 degrees /s for angular velocity for thorax, pelvis, and upper leg, respectively). Additional use of gyroscopes improved the accuracy significantly (RMS = 0.8, 1.1, and 1.7 degrees for angle and RMS = 2.6, 4.0 and 4.9 degrees /s for angular velocity for thorax, pelvis and upper leg, respectively). The low-pass Butterworth filter had optimal cut-off frequencies of 1.05, 1.3, and 1.05 for thorax, pelvis, and upper leg, respectively. For the combined signal, the optimal cut-off frequencies were 0.18, 0.2, and 0,38 for thorax, pelvis and upper leg, respectively. The filters showed no subject specificity. This study provides an accurate, inexpensive and simple method to measure the kinematics of movements similar to rising from a chair.

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Year:  2005        PMID: 16321638     DOI: 10.1016/j.jbiomech.2004.11.021

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


  21 in total

1.  Validity of accelerometry in assessing the duration of the sit-to-stand movement.

Authors:  Wim G M Janssen; Johannes B J Bussmann; Herwin L D Horemans; Henk J Stam
Journal:  Med Biol Eng Comput       Date:  2008-07-15       Impact factor: 2.602

2.  Time measurement characterization of stand-to-sit and sit-to-stand transitions by using a smartphone.

Authors:  Hernán A González Rojas; Pedro Chaná Cuevas; Enrique E Zayas Figueras; Salvador Cardona Foix; Antonio J Sánchez Egea
Journal:  Med Biol Eng Comput       Date:  2017-10-23       Impact factor: 2.602

3.  A comparative study for performance evaluation of sit-to-stand task with body worn sensor and existing laboratory methods.

Authors:  Rahul Soangra; Thurmon E Lockhart
Journal:  Biomed Sci Instrum       Date:  2012

4.  Inertial measurement units furnish accurate trunk trajectory reconstruction of the sit-to-stand manoeuvre in healthy subjects.

Authors:  Daniele Giansanti; Giovanni Maccioni; Francesco Benvenuti; Velio Macellari
Journal:  Med Biol Eng Comput       Date:  2007-07-25       Impact factor: 2.602

5.  An evaluation of the 30-s chair stand test in older adults: frailty detection based on kinematic parameters from a single inertial unit.

Authors:  Nora Millor; Pablo Lecumberri; Marisol Gómez; Alicia Martínez-Ramírez; Mikel Izquierdo
Journal:  J Neuroeng Rehabil       Date:  2013-08-01       Impact factor: 4.262

6.  Autonomous Quality Control of Joint Orientation Measured with Inertial Sensors.

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Sensors (Basel)       Date:  2016-07-05       Impact factor: 3.576

7.  The Instrumented Sit-to-Stand Test (iSTS) Has Greater Clinical Relevance than the Manually Recorded Sit-to-Stand Test in Older Adults.

Authors:  Rob C van Lummel; Stefan Walgaard; Andrea B Maier; Erik Ainsworth; Peter J Beek; Jaap H van Dieën
Journal:  PLoS One       Date:  2016-07-08       Impact factor: 3.240

8.  The use of inertial sensors system for human motion analysis.

Authors:  Antonio I Cuesta-Vargas; Alejandro Galán-Mercant; Jonathan M Williams
Journal:  Phys Ther Rev       Date:  2010-12

9.  Sit-stand and stand-sit transitions in older adults and patients with Parkinson's disease: event detection based on motion sensors versus force plates.

Authors:  Agnes Zijlstra; Martina Mancini; Ulrich Lindemann; Lorenzo Chiari; Wiebren Zijlstra
Journal:  J Neuroeng Rehabil       Date:  2012-10-07       Impact factor: 4.262

10.  Kneeling and standing up from a chair as performance-based tests to evaluate knee function in the high-flexion range: a randomized controlled trial comparing a conventional and a high-flexion TKA design.

Authors:  Paul J P van der Ven; Sebastiaan van de Groes; Jorrit Zelle; Sander Koëter; Gerjon Hannink; Nico Verdonschot
Journal:  BMC Musculoskelet Disord       Date:  2017-08-01       Impact factor: 2.362

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