Quantifying digital behavior on smart phones in patients with stroke – QuantStroke – a longitudinal cohort study

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We aim to examine the impact of stroke on daily behavior captured on the ubiquitous touchscreen smartphone interactions. We expect the unobtrusive assessments of cognitive performance – as in processing speed - for long durations will reveal the true dynamics of cognitive function and recovery after stroke. Furthermore, by linking these novel measures to traditional measures of quality of life, we will establish both the low level and high level cognitive fluctuations captured on the smartphone.

We will continuously record smartphone touchscreen interactions in 50 volunteers with stroke during within the first 3 months after discharge from rehabilitation. We will selectively work with people who are able to provide informed consent and use a smartphone.
The touchscreen data will be gathered at a millisecond resolution using an app running in the background (QuantActions, Ltd, Lausanne). Shortly before discharge from inpatient rehabilitation, participants will be asked to install the app on their smart phones or tablet computers (Android users only due to system restrictions) and continue to use those as usual. We shall collect the touchscreen data at a millisecond resolution using the off-the-shelf data gathering tool available through QuantActions. This raw data will be further processed to develop parameters sensitive to stroke – such as in tapping speed, time taken to find App icons or unlock the phone. Apart from these handcrafted measures we shall also implement frequency based objective assessments that require little human engagement.
No images or texts messages or other user-generated content will be collected and cannot be inferred from the raw data.
The linkage between smart phone use and health related quality of life will be assessed with standardized outcome measures such as EQ-5D-5L (weekly) and Stroke Specific Quality of Life and SF 36 (monthly). Participants can opt-in for a few additional memory tests.

This is an ongoing study. With the acquired data, we want to contribute to a database where digital behavior is analyzed with advanced computational methods. Different groups of users can be compared, with the objective to identify potential indicators of functional decline.

The study is funded by Carlsberg Foundation.
TidsskriftNeurorehabilitation and Neural Repair
StatusUdgivet - apr. 2021

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