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Article

The Use of Data from the Parkinson’s KinetiGraph to Identify Potential Candidates for Device Assisted Therapies

1
Global Kinetics Corporation, 31 Queens St., Melbourne 3000, Australia
2
Florey Institute of Neuroscience & Mental Health, The University of Melbourne, Parkville 3010, Australia
3
St Vincent’s Hospital, Fitzroy 3065, Australia
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(10), 2241; https://doi.org/10.3390/s19102241
Received: 31 March 2019 / Revised: 8 May 2019 / Accepted: 12 May 2019 / Published: 15 May 2019
Device-assisted therapies (DAT) benefit people with Parkinsons Disease (PwP) but many referrals for DAT are unsuitable or too late, and a screening tool to aid in identifying candidates would be helpful. This study aimed to produce such a screening tool by building a classifier that models specialist identification of suitable DAT candidates. To our knowledge, this is the first objective decision tool for managing DAT referral. Subjects were randomly assigned to either a construction set (n = 112, to train, develop, cross validate, and then evaluate the classifier’s performance) or to a test set (n = 60 to test the fully specified classifier), resulting in a sensitivity and specificity of 89% and 86.6%, respectively. The classifier’s performance was then assessed in PwP who underwent deep brain stimulation (n = 31), were managed in a non-specialist clinic (n = 81) or in PwP in the first five years from diagnosis (n = 22). The classifier identified 87%, 92%, and 100% of the candidates referred for DAT in each of the above clinical settings, respectively. Furthermore, the classifier score changed appropriately when therapeutic intervention resolved troublesome fluctuations or dyskinesia that would otherwise have required DAT. This study suggests that information from objective measurement could improve timely referral for DAT. View Full-Text
Keywords: deep brain stimulation; device assisted therapies; objective measurement; wearing off; bradykinesia; dyskinesia deep brain stimulation; device assisted therapies; objective measurement; wearing off; bradykinesia; dyskinesia
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MDPI and ACS Style

Khodakarami, H.; Farzanehfar, P.; Horne, M. The Use of Data from the Parkinson’s KinetiGraph to Identify Potential Candidates for Device Assisted Therapies. Sensors 2019, 19, 2241. https://doi.org/10.3390/s19102241

AMA Style

Khodakarami H, Farzanehfar P, Horne M. The Use of Data from the Parkinson’s KinetiGraph to Identify Potential Candidates for Device Assisted Therapies. Sensors. 2019; 19(10):2241. https://doi.org/10.3390/s19102241

Chicago/Turabian Style

Khodakarami, Hamid, Parisa Farzanehfar, and Malcolm Horne. 2019. "The Use of Data from the Parkinson’s KinetiGraph to Identify Potential Candidates for Device Assisted Therapies" Sensors 19, no. 10: 2241. https://doi.org/10.3390/s19102241

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