Literature DB >> 32531644

Portable accelerometers for the evaluation of spatio-temporal gait parameters in people with Parkinson's disease: an integrative review.

Ihana Thaís Guerra de Oliveira Gondim1, Caroline de Cássia Batista de Souza2, Marco Aurélio Benedetti Rodrigues2, Izaura Muniz Azevedo3, Maria das Graças Wanderley de Sales Coriolano3, Otávio Gomes Lins4.   

Abstract

PURPOSE: The progression of Parkinson's disease causes an increase in motor dysfunctions, which makes it necessary to evaluate and monitor these changes. This integrative review aimed to gather studies - without any language restrictions - on the use, advantages and disadvantages of portable accelerometers for the evaluation of spatio-temporal gait parameters in people with Parkinson's disease published between 2014 and 2019.
METHODS: Articles were selected from the PubMed, Web of Science and Science Direct databases by combining descriptors from the Health Sciences Descriptors (DeCS) and Medical Subject Headings (MeSH) - "accelerometry", "accelerometer", "ActiGraph", "gait", "gait analysis", "gait rehabilitation", "walking inertial sensors", "Parkinson disease", "Parkinson" and "Parkinson's disease" - using OR and AND. The adapted Critical Appraisal Skill Program was used to analyze the methodological quality.
RESULTS: All the studies used portable wearable and wireless triaxial accelerometers. Among all types of accelerometers discussed, commercial wearable devices not based on smartphones and prototypes of wearable devices based and not based on smartphones can be pointed out. There was no standardization for the protocols of use, but the sensors were more often attached to the lower back (L3/L4/L5 vertebrae). The advantages included lower cost, possibility of use in outdoor environments and less complexity of data reading for non-specialized users. However, they still seem to show reduced precision and accuracy.
CONCLUSIONS: Due to the still insufficient number of articles published on the subject, we consider the need for further research, which should detail protocols of evaluation, advantages and disadvantages in stages of disease.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accelerometer; Accelerometry; Gait; Monitoring technologies; Parkinson’s disease; Walking inertial sensors

Year:  2020        PMID: 32531644     DOI: 10.1016/j.archger.2020.104097

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  4 in total

1.  Foot Trajectory Features in Gait of Parkinson's Disease Patients.

Authors:  Taiki Ogata; Hironori Hashiguchi; Koyu Hori; Yuki Hirobe; Yumi Ono; Hiroyuki Sawada; Akira Inaba; Satoshi Orimo; Yoshihiro Miyake
Journal:  Front Physiol       Date:  2022-05-04       Impact factor: 4.755

Review 2.  Internet of Things Technologies and Machine Learning Methods for Parkinson's Disease Diagnosis, Monitoring and Management: A Systematic Review.

Authors:  Konstantina-Maria Giannakopoulou; Ioanna Roussaki; Konstantinos Demestichas
Journal:  Sensors (Basel)       Date:  2022-02-24       Impact factor: 3.576

3.  Smart Eyeglasses: A Valid and Reliable Device to Assess Spatiotemporal Parameters during Gait.

Authors:  Justine Hellec; Frédéric Chorin; Andrea Castagnetti; Olivier Guérin; Serge S Colson
Journal:  Sensors (Basel)       Date:  2022-02-04       Impact factor: 3.576

Review 4.  The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review.

Authors:  Sylvain Jung; Mona Michaud; Laurent Oudre; Eric Dorveaux; Louis Gorintin; Nicolas Vayatis; Damien Ricard
Journal:  Sensors (Basel)       Date:  2020-10-01       Impact factor: 3.576

  4 in total

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