Literature DB >> 17605368

A magnetometer-based approach for studying human movements.

Stephane Bonnet1, Rodolphe Héliot.   

Abstract

This paper investigates the use of body-mounted magnetic field sensors for the analysis of certain human movements. We demonstrate that, in several usual dynamic situations, magnetometers allow to estimate accurately a body inclination while being insensitive to its acceleration. Doing this, it is then possible to combine this information together with the one provided by an accelerometer to separate in a very accurate way the gravitational and kinematical components of acceleration. The proposed method is illustrated by the study of the sit-to-stand movement, estimating trunk inclination and absolute acceleration.

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Year:  2007        PMID: 17605368     DOI: 10.1109/TBME.2007.890742

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  6 in total

Review 1.  Inertial Measurement Units and Application for Remote Health Care in Hip and Knee Osteoarthritis: Narrative Review.

Authors:  Michael J Rose; Kerry E Costello; Samantha Eigenbrot; Kaveh Torabian; Deepak Kumar
Journal:  JMIR Rehabil Assist Technol       Date:  2022-06-02

2.  Motion analysis of sun salutation using magnetometer and accelerometer.

Authors:  Sn Omkar; Meenakshi Mour; Debarun Das
Journal:  Int J Yoga       Date:  2009-07

3.  A Wearable Magnet-Based System to Assess Activity and Joint Flexion in Humans and Large Animals.

Authors:  Feini Qu; Brendan D Stoeckl; Peter M Gebhard; Todd J Hullfish; Josh R Baxter; Robert L Mauck
Journal:  Ann Biomed Eng       Date:  2018-08-06       Impact factor: 3.934

4.  A wearable inertial measurement unit for long-term monitoring in the dependency care area.

Authors:  Daniel Rodríguez-Martín; Carlos Pérez-López; Albert Samà; Joan Cabestany; Andreu Català
Journal:  Sensors (Basel)       Date:  2013-10-18       Impact factor: 3.576

5.  A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson's Disease Patients.

Authors:  Daniel Rodríguez-Martín; Carlos Pérez-López; Albert Samà; Andreu Català; Joan Manuel Moreno Arostegui; Joan Cabestany; Berta Mestre; Sheila Alcaine; Anna Prats; María de la Cruz Crespo; Àngels Bayés
Journal:  Sensors (Basel)       Date:  2017-04-11       Impact factor: 3.576

6.  Continuous gait cycle index estimation for electrical stimulation assisted foot drop correction.

Authors:  Christine Azevedo Coste; Jovana Jovic; Roger Pissard-Gibollet; Jérôme Froger
Journal:  J Neuroeng Rehabil       Date:  2014-08-09       Impact factor: 4.262

  6 in total

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