This study compares the validity and usability of smartphone software for home monitoring of symptoms and signs in Parkinson's disease as compared to the current clinical gold standard - the Unified Parkinsons Disease Rating Scale.
Parkinson's Disease (PD) is a neurodegenerative condition, which when treated can result in fluctuating motor activity - sometimes too much movement, sometimes too little. A series of tests, run on a smartphone, will be used to evaluate the motor signs of Parkinson's and related to a clinical evaluation based on the Unified Parkinson's Disease Rating Scale. 60 participants will be recruited.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Enrollment
60
Smartphone software consisting of a series of tapping and tremor-measurement tests designed to measure a subset of the UPDRS.
A clinician will assess the motor signs of the participant using the Unified Parkinson's Disease Rating Scale. The examination will be videoed and rated by 3 blinded examiners.
Ashwani Jha
London, United Kingdom
Validity of smartphone software for home monitoring in Parkinson's disease
The primary objective is to measure the validity (bias and reliability) of the smartphone UPDRS (smartphone derived UPDRS). The primary objective outcome measure is the accuracy (and error) of the smartphone UPDRS predictions of the clinical UPDRS rating score. This will be ascertained by using multiple cross-validation runs in which the data are randomly split into 'calibration' and 'testing' cohorts. The model will be trained on the 'calibration' dataset, and the accuracy and error from the out-of-sample predictions will be summarised into a mean accuracy and error score.
Time frame: 3 years
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