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. 2020 Jan 17;3:6. doi: 10.1038/s41746-019-0214-x

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — a Wearable devices and recording parameters that were utilized throughout the project. b In studies 1, 2, and 3, multiple administrations of the MDS-UPDRS part III, scripted activities of daily living (sADL’s), and speech tasks were performed. For participants with PD, sessions were timed to take place around PD participants’ regularly scheduled dose of levodopa, and we obtained both a live rating and three video ratings (from separate raters) of the MDS-UPDRS part III for each session. In addition, participants with PD self-reported their motor state multiple times throughout the laboratory sessions. Video raters were blinded to when the participant had taken their medications. In study 4, participants with PD completed 2 weeks of at-home monitoring with the ultimate goal of investigating the relationship between continuous estimates of motor state derived from wearable sensor data, participants’ self-report of their motor state, and the timing of levodopa. BioStampRC image used with permission from MC10. GENEActiv original image used with permission from Activinsights.