Literature DB >> 2384497

Real-time gait assessment utilizing a new way of accelerometry.

A T Willemsen1, J A van Alsté, H B Boom.   

Abstract

Real-time registration of body segment angles is essential in artificial body position control. A new method is presented for the real-time calculation of the lower extremity angles using data obtained from pairs of two one-dimensional accelerometers. It is shown that, assuming rigid-body dynamics and simple hinge joints, relative angles (i.e. angles between segments) can be calculated without integration, thereby solving the problem of integration drift normally associated with accelerometry. During the stance phase of walking, the relative angles can be transformed to absolute angles (i.e. relative to the gravitational field direction) for the different leg segments. The feasibility of relative angle calculation is demonstrated by calculation of the knee angle of a healthy subject. Stability and resolution were demonstrated with measurements during standing. Measurements during standing up, sitting down and walking showed that shock (heel-strike) and skin movements, due to movements of the underlying muscle tissue, are the main error sources. Additional signal processing, e.g. low-pass filtering, can be used to diminish this error. The accuracy of the knee angle found is shown to be high enough to be used in a feedback controller for functional electrostimulation of the lower extremities.

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Year:  1990        PMID: 2384497     DOI: 10.1016/0021-9290(90)90033-y

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


  15 in total

1.  Measuring orientation of human body segments using miniature gyroscopes and accelerometers.

Authors:  H J Luinge; P H Veltink
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

2.  Three-dimensional kinematic angle measurement system for non-jointed rigid axes.

Authors:  P T Kolen
Journal:  Med Biol Eng Comput       Date:  1995-03       Impact factor: 2.602

3.  A low-cost body inertial-sensing network for practical gait discrimination of hemiplegia patients.

Authors:  Yanwei Guo; Dan Wu; Guanzheng Liu; Guoru Zhao; Bangyu Huang; Lei Wang
Journal:  Telemed J E Health       Date:  2012-03-26       Impact factor: 3.536

4.  Autogenic EMG-controlled functional electrical stimulation for ankle dorsiflexion control.

Authors:  Hojun Yeom; Young-Hui Chang
Journal:  J Neurosci Methods       Date:  2010-08-14       Impact factor: 2.390

Review 5.  The use of wearable inertial motion sensors in human lower limb biomechanics studies: a systematic review.

Authors:  Daniel Tik-Pui Fong; Yue-Yan Chan
Journal:  Sensors (Basel)       Date:  2010-12-16       Impact factor: 3.576

6.  Kinematics of gait: new method for angle estimation based on accelerometers.

Authors:  Milica D Djurić-Jovičić; Nenad S Jovičić; Dejan B Popović
Journal:  Sensors (Basel)       Date:  2011-11-07       Impact factor: 3.576

Review 7.  Estimating three-dimensional orientation of human body parts by inertial/magnetic sensing.

Authors:  Angelo Maria Sabatini
Journal:  Sensors (Basel)       Date:  2011-01-26       Impact factor: 3.576

Review 8.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

9.  Mobile Sensor Application for Kinematic Detection of the Knees.

Authors:  Tossaphon Jaysrichai; Areerat Suputtitada; Watcharapong Khovidhungij
Journal:  Ann Rehabil Med       Date:  2015-08-25

10.  Balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network.

Authors:  Yanwei Guo; Guoru Zhao; Qianqian Liu; Zhanyong Mei; Kamen Ivanov; Lei Wang
Journal:  Biomed Eng Online       Date:  2013-08-29       Impact factor: 2.819

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