2020
DOI: 10.3390/s20030880
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Quantitative Measurement of Rigidity in Parkinson’s Disease: A Systematic Review

Abstract: Rigidity is one of the cardinal symptoms of Parkinson’s disease (PD). Present in up 89% of cases, it is typically assessed with clinical scales. However, these instruments show limitations due to their subjectivity and poor intra- and inter-rater reliability. To compile all of the objective quantitative methods used to assess rigidity in PD and to study their validity and reliability, a systematic review was conducted using the Web of Science, PubMed, and Scopus databases. Studies from January 1975 to June 201… Show more

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Cited by 43 publications
(28 citation statements)
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References 65 publications
(178 reference statements)
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“…In previous studies, several authors have used technological evaluations with isokinetic dynamometers to examine trunk rigidity in PD subjects, thanks to the mobilization of the trunk at desired speeds throughout the available ROM, recording the information relative to the offered resistance as an objective measure of rigidity [15,18,23,24]. Other technologies like inertial sensors and biomechanical and neurophysiological muscle measurements have been described [25], but all these evaluations techniques are rarely available in daily clinical practice since equipment is expensive, and its use is time consuming and requires complex data analysis.…”
Section: Introductionmentioning
confidence: 99%
“…In previous studies, several authors have used technological evaluations with isokinetic dynamometers to examine trunk rigidity in PD subjects, thanks to the mobilization of the trunk at desired speeds throughout the available ROM, recording the information relative to the offered resistance as an objective measure of rigidity [15,18,23,24]. Other technologies like inertial sensors and biomechanical and neurophysiological muscle measurements have been described [25], but all these evaluations techniques are rarely available in daily clinical practice since equipment is expensive, and its use is time consuming and requires complex data analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Other instrumented clinical tests allow the evaluation of objective continuous parameters overcoming the limitations of the UPDRS rating scale (i.e., low resolution, inter-and intra- rater unreliability, ceiling effect), which include surface electromyography (Eisen, 1987 ; Andreeva and Khutorskaya, 1996 ), myometry (Marusiak et al, 2010 ), and/or torque measuring devices (Kirollos et al, 1996 ; Patrick et al, 2001 ; Endo et al, 2009 ; Xia et al, 2011 ; Powell et al, 2012 ; Zetterberg et al, 2015 ). However, to the best of our knowledge, all the methods previously proposed in the literature focused on the objective quantification of upper limb rigidity (Ferreira-Sánchez et al, 2020 ). The biomechanical outcomes of the pendulum test can be easily evaluated through simple observation of the leg swing or by using affordable devices equipped with gyroscope (Yeh et al, 2016 ) or simple video source (i.e., markerless motion capture, Mathis et al, 2018 ), making it feasible for standard clinical practice and telemedicine.…”
Section: Discussionmentioning
confidence: 99%
“…The biomechanical outcomes of the pendulum test can be easily evaluated through simple observation of the leg swing or by using affordable devices equipped with gyroscope (Yeh et al, 2016 ) or simple video source (i.e., markerless motion capture, Mathis et al, 2018 ), making it feasible for standard clinical practice and telemedicine. For example, automated analysis of the pendulum test could be implemented into smartphones (Prince et al, 2018 ) whereas prior methods require expensive additional devices, data processing, and technical assistance (Ferreira-Sánchez et al, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…Other instrumented clinical tests allow the evaluation of objective continuous parameters overcoming the limitations of the UPDRS rating scale, which include surface electromyography (Eisen, 1987; Andreeva and Khutorskaya, 1996), myometry (Marusiak et al, 2010), and/or torque measuring devices (Kirollos et al, 1996; Patrick et al, 2001; Endo et al, 2009; Xia et al, 2011; Powell et al, 2012; Zetterberg et al, 2015). However, to the best of our knowledge, all the methods previously proposed in literature focused on the objective quantification of upper limbs rigidity (Ferreira-Sánchez et al, 2020). The biomechanical outcomes of the pendulum test can be easily evaluated through simple observation of the leg swing or by using affordable devices equipped with gyroscope (Yeh et al, 2016) or simple video source (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…markerless motion capture, Mathis et al, 2018), making it feasible for standard clinical practice and telemedicine. For example, automated analysis of the pendulum test could be implemented into smartphones (Prince et al, 2018) whereas prior methods require expensive additional devices, data processing and technical assistance (Ferreira-Sánchez et al, 2020).…”
Section: Discussionmentioning
confidence: 99%