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Correction: Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study

Correction: Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study

In “Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study” (JMIR Res Protoc 2024 May 7:13:e55452) the authors noticed one error: The last author's name was listed as: Bastiaan Bloem This has been changed to the following: Bastiaan R Bloem The correction will appear in the online version of the paper on the JMIR Publications website on December

Debbie de Graaf, Nienke M de Vries, Tessa van de Zande, Janneke J P Schimmel, Sooyoon Shin, Nathan Kowahl, Poulami Barman, Ritu Kapur, William J Marks Jr, Alex van 't Hul, Bastiaan R Bloem

JMIR Res Protoc 2024;13:e68647

Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study

Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study

Because of the high correlation between changes in the height of the dominant peak and total power (mean Pearson r of 0.80) and the clearer response of the latter across the sensor locations, the height was not included in subsequent analyses. Changes in the 4 signal properties after medication intake, expressed in z scores (color bar). The x-axis displays the various sensor locations; the y-axis shows all individual patients (sorted on the values of the ankle sensor of the most affected side).

Luc JW Evers, Yordan P Raykov, Jesse H Krijthe, Ana Lígia Silva de Lima, Reham Badawy, Kasper Claes, Tom M Heskes, Max A Little, Marjan J Meinders, Bastiaan R Bloem

J Med Internet Res 2020;22(10):e19068

Large-Scale Wearable Sensor Deployment in Parkinson’s Patients: The Parkinson@Home Study Protocol

Large-Scale Wearable Sensor Deployment in Parkinson’s Patients: The Parkinson@Home Study Protocol

In both phases, analyses will be performed using specialized algorithms (when necessary) developed within the Matlab platform, with additional statistical analyses using the R software package. Within eight months of recruitment (August, 2015 to March, 2016) the Parkinson@home study received 1164 applications. Among those invited for phase one (n=342), the participation rate was 87.7%, resulting in 300 inclusions.

Ana Lígia Silva de Lima, Tim Hahn, Nienke M de Vries, Eli Cohen, Lauren Bataille, Max A Little, Heribert Baldus, Bastiaan R Bloem, Marjan J Faber

JMIR Res Protoc 2016;5(3):e172