What's New

IRB edited the app activities for 2018 testing. Initial research focuses on continuous data collection.

App Description

The aim of this study is to learn if the mobile application and Apple watch can be used to accurately monitor the symptoms of Parkinson’s disease. We are also trying to learn if wearing sensors can provide accurate data about Parkinsonian symptoms. Lastly, we are interested in how you feel about using these devices and answering the questions contained in the mobile application.

This app contains several activities and assessments that you will be scheduled to perform every 24 hours. These activities will test aspects of your cognition, motor function, and balance which takes roughly about 15 minutes to complete. The tasks have to be completed in sequential order within one hour. When completing the activities, please try to be in a quiet area with little or no distraction. In addition, this application includes a medication tracker survey and a continuous data collection activity. These modules allow researchers to track medication adherence as well as movement throughout the day.

iPhone Screenshots

(click to enlarge)

Motion in Parkinson's Disease screenshot 1 Motion in Parkinson's Disease screenshot 2 Motion in Parkinson's Disease screenshot 3 Motion in Parkinson's Disease screenshot 4

App Changes

  • June 16, 2019 Initial release

Other Apps From Digital Artefacts L.L.C.

BrainBaseline BrainBaseline HD BrainBaseline Pocket ReFLECT Studies BrainBaseline Lab HAND in Hand Mobile Study HAND in HAND: Clinical Research CNS3 BrainBaseline for Oxytocin Research Mind Share: A Research Study Measuring the Relationship Between Lifestyle, Health, and Alzheimer’s Disease BrainBaseline: Sandia Research WATCH Parkinson's Disease MAP in Ataxia BrainBaseline: Accuracy in Verbal Symbols Swap The BRACE BrainBaseline CARE: Cancer & Brain Health Study MAP in Parkinson's Disease ReFLECT+ Study BrainBaseline Watch ALS Mosaic - Scratching and Sleep BrainBaseline Shine MASTR-E Cognitive Baseline AcRIS Track MSA EPICC Study