Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review

Quantifying the quality of upper limb movements is fundamental to the therapeutic process of patients with cerebral palsy (CP). Several clinical methods are currently available to assess the upper limb range of motion (ROM) in children with CP. This paper focuses on identifying and describing availa...

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Main Authors: Celia Francisco-Martínez, Juan Prado-Olivarez, José A. Padilla-Medina, Javier Díaz-Carmona, Francisco J. Pérez-Pinal, Alejandro I. Barranco-Gutiérrez, Juan J. Martínez-Nolasco
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/23/7884
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author Celia Francisco-Martínez
Juan Prado-Olivarez
José A. Padilla-Medina
Javier Díaz-Carmona
Francisco J. Pérez-Pinal
Alejandro I. Barranco-Gutiérrez
Juan J. Martínez-Nolasco
author_facet Celia Francisco-Martínez
Juan Prado-Olivarez
José A. Padilla-Medina
Javier Díaz-Carmona
Francisco J. Pérez-Pinal
Alejandro I. Barranco-Gutiérrez
Juan J. Martínez-Nolasco
author_sort Celia Francisco-Martínez
collection DOAJ
description Quantifying the quality of upper limb movements is fundamental to the therapeutic process of patients with cerebral palsy (CP). Several clinical methods are currently available to assess the upper limb range of motion (ROM) in children with CP. This paper focuses on identifying and describing available techniques for the quantitative assessment of the upper limb active range of motion (AROM) and kinematics in children with CP. Following the screening and exclusion of articles that did not meet the selection criteria, we analyzed 14 studies involving objective upper extremity assessments of the AROM and kinematics using optoelectronic devices, wearable sensors, and low-cost Kinect sensors in children with CP aged 4–18 years. An increase in the motor function of the upper extremity and an improvement in most of the daily tasks reviewed were reported. In the population of this study, the potential of wearable sensors and the Kinect sensor natural user interface as complementary devices for the quantitative evaluation of the upper extremity was evident. The Kinect sensor is a clinical assessment tool with a unique markerless motion capture system. Few authors had described the kinematic models and algorithms used to estimate their kinematic analysis in detail. However, the kinematic models in these studies varied from 4 to 10 segments. In addition, few authors had followed the joint assessment recommendations proposed by the International Society of Biomechanics (ISB). This review showed that three-dimensional analysis systems were used primarily for monitoring and evaluating spatiotemporal variables and kinematic parameters of upper limb movements. The results indicated that optoelectronic devices were the most commonly used systems. The joint assessment recommendations proposed by the ISB should be used because they are approved standards for human kinematic assessments. This review was registered in the PROSPERO database (CRD42021257211).
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spelling doaj.art-a6b6e00901b54faa910c94c94e62796f2023-11-23T03:00:36ZengMDPI AGSensors1424-82202021-11-012123788410.3390/s21237884Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature ReviewCelia Francisco-Martínez0Juan Prado-Olivarez1José A. Padilla-Medina2Javier Díaz-Carmona3Francisco J. Pérez-Pinal4Alejandro I. Barranco-Gutiérrez5Juan J. Martínez-Nolasco6Electronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, MexicoElectronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, MexicoElectronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, MexicoElectronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, MexicoElectronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, MexicoElectronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, MexicoMechatronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, MexicoQuantifying the quality of upper limb movements is fundamental to the therapeutic process of patients with cerebral palsy (CP). Several clinical methods are currently available to assess the upper limb range of motion (ROM) in children with CP. This paper focuses on identifying and describing available techniques for the quantitative assessment of the upper limb active range of motion (AROM) and kinematics in children with CP. Following the screening and exclusion of articles that did not meet the selection criteria, we analyzed 14 studies involving objective upper extremity assessments of the AROM and kinematics using optoelectronic devices, wearable sensors, and low-cost Kinect sensors in children with CP aged 4–18 years. An increase in the motor function of the upper extremity and an improvement in most of the daily tasks reviewed were reported. In the population of this study, the potential of wearable sensors and the Kinect sensor natural user interface as complementary devices for the quantitative evaluation of the upper extremity was evident. The Kinect sensor is a clinical assessment tool with a unique markerless motion capture system. Few authors had described the kinematic models and algorithms used to estimate their kinematic analysis in detail. However, the kinematic models in these studies varied from 4 to 10 segments. In addition, few authors had followed the joint assessment recommendations proposed by the International Society of Biomechanics (ISB). This review showed that three-dimensional analysis systems were used primarily for monitoring and evaluating spatiotemporal variables and kinematic parameters of upper limb movements. The results indicated that optoelectronic devices were the most commonly used systems. The joint assessment recommendations proposed by the ISB should be used because they are approved standards for human kinematic assessments. This review was registered in the PROSPERO database (CRD42021257211).https://www.mdpi.com/1424-8220/21/23/7884Kinectkinematicsactive range of motionmeasurementupper limbcerebral palsy
spellingShingle Celia Francisco-Martínez
Juan Prado-Olivarez
José A. Padilla-Medina
Javier Díaz-Carmona
Francisco J. Pérez-Pinal
Alejandro I. Barranco-Gutiérrez
Juan J. Martínez-Nolasco
Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review
Sensors
Kinect
kinematics
active range of motion
measurement
upper limb
cerebral palsy
title Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review
title_full Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review
title_fullStr Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review
title_full_unstemmed Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review
title_short Upper Limb Movement Measurement Systems for Cerebral Palsy: A Systematic Literature Review
title_sort upper limb movement measurement systems for cerebral palsy a systematic literature review
topic Kinect
kinematics
active range of motion
measurement
upper limb
cerebral palsy
url https://www.mdpi.com/1424-8220/21/23/7884
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