Literature DB >> 25570996

Proposal of a Kinect(TM)-based system for gait assessment and rehabilitation in Parkinson's disease.

Jorge Cancela, Maria T Arredondo, Olivia Hurtado.   

Abstract

It has been proved that audio and visual cueing can improve the motor performance of Parkinson's disease patients. Specially, gait can benefit from repetitive sessions of exercises using cues. Nevertheless, these effects are not permanent and fade away with time, in that sense, home game systems can be an excellent platform for patients to perform daily exercises, as well as to coach and guide them in a smarter way. Within this work a method to track the walking movement is proposed based on the signals coming from the Kinect sensor of Microsoft. At the same time, different setups have been tested in order to study the feasibility of using this sensor to build a game platform for gait rehabilitation for Parkinson's disease patients.

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Year:  2014        PMID: 25570996     DOI: 10.1109/EMBC.2014.6944628

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  A Kinect-Based System for Lower Limb Rehabilitation in Parkinson's Disease Patients: a Pilot Study.

Authors:  Guillermo Palacios-Navarro; Iván García-Magariño; Pedro Ramos-Lorente
Journal:  J Med Syst       Date:  2015-08-12       Impact factor: 4.460

2.  Using Kinect to classify Parkinson's disease stages related to severity of gait impairment.

Authors:  Lacramioara Dranca; Lopez de Abetxuko Ruiz de Mendarozketa; Alfredo Goñi; Arantza Illarramendi; Irene Navalpotro Gomez; Manuel Delgado Alvarado; María Cruz Rodríguez-Oroz
Journal:  BMC Bioinformatics       Date:  2018-12-10       Impact factor: 3.169

3.  Recent advances in rehabilitation for Parkinson's Disease with Exergames: A Systematic Review.

Authors:  Augusto Garcia-Agundez; Ann-Kristin Folkerts; Robert Konrad; Polona Caserman; Thomas Tregel; Mareike Goosses; Stefan Göbel; Elke Kalbe
Journal:  J Neuroeng Rehabil       Date:  2019-01-29       Impact factor: 4.262

4.  A Solution for the Remote Care of Frail Elderly Individuals via Exergames.

Authors:  Marco Trombini; Federica Ferraro; Matteo Morando; Giovanni Regesta; Silvana Dellepiane
Journal:  Sensors (Basel)       Date:  2021-04-12       Impact factor: 3.576

5.  System for automatic gait analysis based on a single RGB-D camera.

Authors:  Ana Patrícia Rocha; Hugo Miguel Pereira Choupina; Maria do Carmo Vilas-Boas; José Maria Fernandes; João Paulo Silva Cunha
Journal:  PLoS One       Date:  2018-08-03       Impact factor: 3.240

  5 in total

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