2020
DOI: 10.3389/fnagi.2020.594701
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More Sensitive Identification for Bradykinesia Compared to Tremors in Parkinson’s Disease Based on Parkinson’s KinetiGraph (PKG)

Abstract: The effective management and therapies for Parkinson’s disease (PD) require appropriate clinical evaluation. The Parkinson’s KinetiGraph (PKG) is a wearable sensor system that can monitor the motion characteristics of PD objectively and continuously. This study was aimed to assess the correlations between PKG data and clinical scores of bradykinesia, rigidity, tremor, and fluctuation. It also aims to explore the application value of identifying early motor symptoms. An observational study of 100 PD patients we… Show more

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Cited by 17 publications
(6 citation statements)
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References 38 publications
(52 reference statements)
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“…These findings indicate that the best locations to capture the maximal movement on the right hand are the distal locations of the hand or at the wrist. This validates the locations used for devices such as Kinesia One TM [22], normally placed distally on the index finger, and also the use of watch devices such as the PKG watch [40].…”
Section: Discussionsupporting
confidence: 66%
“…These findings indicate that the best locations to capture the maximal movement on the right hand are the distal locations of the hand or at the wrist. This validates the locations used for devices such as Kinesia One TM [22], normally placed distally on the index finger, and also the use of watch devices such as the PKG watch [40].…”
Section: Discussionsupporting
confidence: 66%
“…However, the method cannot determine the “ON” state without dyskinesia ( 81 ). Although there are no data that confirm the performance of an algorithm with blind data, the device has been widely tested under clinical conditions and compared to UPDRS ( 82 ) or diaries ( 80 , 81 ). For instance, the work from Santiago et al ( 83 ), determines that PKG™ provides more information to classical routine visits after analyzing 3 user cases.…”
Section: State Of the Artmentioning
confidence: 99%
“…Here, the advantage of quantifying movement using accelerometers and gyroscopes provides a wealth of information on the quality of movement and potential abnormalities. [17][18][19] A growing body of literature also shows the capability of digital technology to objectively quantify typical PD signs such as tremor, bradykinesia, and dyskinesia and the opportunities for real-world assessment, away from the clinic, which may reveal additional aspects into the patient's functioning in their daily lives that so far alluded clinicians. This type of evaluation is indeed promising because it can pave the way for objective assessment of disease progression.…”
Section: Use Of Digital Sensorsmentioning
confidence: 99%