Literature DB >> 18632321

Gait analysis using a shoe-integrated wireless sensor system.

Stacy J Morris Bamberg1, Ari Y Benbasat, Donna Moxley Scarborough, David E Krebs, Joseph A Paradiso.   

Abstract

We describe a wireless wearable system that was developed to provide quantitative gait analysis outside the confines of the traditional motion laboratory. The sensor suite includes three orthogonal accelerometers, three orthogonal gyroscopes, four force sensors, two bidirectional bend sensors, two dynamic pressure sensors, as well as electric field height sensors. The "GaitShoe" was built to be worn in any shoe, without interfering with gait and was designed to collect data unobtrusively, in any environment, and over long periods. The calibrated sensor outputs were analyzed and validated with results obtained simultaneously from the Massachusetts General Hospital, Biomotion Laboratory. The GaitShoe proved highly capable of detecting heel-strike and toe-off, as well as estimating foot orientation and position, inter alia.

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Year:  2008        PMID: 18632321     DOI: 10.1109/TITB.2007.899493

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  65 in total

1.  BioKin: an ambulatory platform for gait kinematic and feature assessment.

Authors:  Samitha W Ekanayake; Andrew J Morris; Mike Forrester; Pubudu N Pathirana
Journal:  Healthc Technol Lett       Date:  2015-02-25

2.  Automatic detection of temporal gait parameters in poststroke individuals.

Authors:  Paulo Lopez-Meyer; George D Fulk; Edward S Sazonov
Journal:  IEEE Trans Inf Technol Biomed       Date:  2011-02-10

Review 3.  The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.

Authors:  Bruce H Dobkin; Andrew Dorsch
Journal:  Neurorehabil Neural Repair       Date:  2011 Nov-Dec       Impact factor: 3.919

4.  Extraction of stride events from gait accelerometry during treadmill walking.

Authors:  Ervin Sejdić; Kristin A Lowry; Jennica Bellanca; Subashan Perera; Mark S Redfern; Jennifer S Brach
Journal:  IEEE J Transl Eng Health Med       Date:  2015-12-18       Impact factor: 3.316

5.  Criterion and construct validity of prosthesis-integrated measurement of joint moment data in persons with transtibial amputation.

Authors:  Goeran Fiedler; Brooke Slavens; Roger O Smith; Douglas Briggs; Brian J Hafner
Journal:  J Appl Biomech       Date:  2014-03-04       Impact factor: 1.833

6.  Assessing interactions among multiple physiological systems during walking outside a laboratory: An Android based gait monitor.

Authors:  E Sejdić; A Millecamps; J Teoli; M A Rothfuss; N G Franconi; S Perera; A K Jones; J S Brach; M H Mickle
Journal:  Comput Methods Programs Biomed       Date:  2015-09-26       Impact factor: 5.428

7.  Posture and activity recognition and energy expenditure estimation in a wearable platform.

Authors:  Edward Sazonov; Nagaraj Hegde; Raymond C Browning; Edward L Melanson; Nadezhda A Sazonova
Journal:  IEEE J Biomed Health Inform       Date:  2015-05-19       Impact factor: 5.772

8.  Walking speed measurement technology: A review.

Authors:  Yohanna MejiaCruz; Jean Franco; Garret Hainline; Stacy Fritz; Zhaoshuo Jiang; Juan M Caicedo; Benjamin Davis; Victor Hirth
Journal:  Curr Geriatr Rep       Date:  2021-01-20

9.  Real-Time Continuous Gait Phase and Speed Estimation from a Single Sensor.

Authors:  David Quintero; Daniel J Lambert; Dario J Villarreal; Robert D Gregg
Journal:  Control Tech Appl       Date:  2017-10-09

10.  Design and Experimental Research of Knee Joint Prosthesis Based on Gait Acquisition Technology.

Authors:  Yonghong Zhang; Erliang Wang; Miao Wang; Sizhe Liu; Wenjie Ge
Journal:  Biomimetics (Basel)       Date:  2021-05-07
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