In this study, we want to continuously record the interaction of 50 stroke survivors with their smartphones during the first 3 months after discharge. The linkage of smart phone use to function and quality of life will be assessed with standardized outcome measures at defined time points.

People with stroke are among the most relevant target groups for unobtrusive monitoring. Worldwide, stroke is the second most frequent cause for lasting disability and causes a substantial burden for the individual, caregivers and society. Thanks to improved treatment, many stroke survivors can be discharged to their homes. However, many have to live with disabilities and are prone to declining function, cognitive impairment and depression. With the acquired data, we want to create a database where digital behavior is analyzed with advanced computational methods. In collaboration with the Department of Cognitive Psychology, University of Leiden, Netherlands, these data will be used to discover specific features for different health issues and to develop tools for the early detection of functional decline for different populations.

Inclusion Criteria:

• New or recurrent stroke, admitted to rehabilitation, discharge to own home
• Owns an Android smart phone
• Smart phone is used by the patient only

Exclusion Criteria:

• Severe cognitive impairments and / or psychiatric and behavioral conditions that interfere with compliance.
• Not able to provide informed consent
• Discharge to nursing homes or other care facilities

We want to include a broad range of patients with stroke, incuding both ischemic and hemorrhagic strokes and different impairments due to stroke. Patients are recruited at two wards specialized in neurorehabilitation around 1 week before discharge to their home.

Processed smartphone behavioral data and the associated processing codes will be made available upon publication and corresponding release in data repositories.