Researchers are increasingly turning to technology to address the growing challenges of dementia,a condition affecting millions worldwide [[1]]. A new initiative at the erasmus MC Alzheimer Center in Rotterdam, Netherlands, dubbed the ‘Digital Dementia Lab,’ is pioneering the use of apps, wearable sensors, and virtual reality to improve early diagnosis and personalize care for those living with the disease. This effort comes as experts emphasize that dementia is not a natural part of aging, but a syndrome requiring targeted intervention [[1]],[[2]], [[3]].
Researchers at the Erasmus MC Alzheimer Center in Rotterdam, Netherlands, are leveraging digital technology to improve the diagnosis and personalized care of dementia patients. The initiative, dubbed the ‘Digital Dementia Lab,’ aims to gain a more detailed understanding of how dementia affects individuals in their daily lives and to tailor support accordingly. Early and accurate diagnosis is crucial for managing the disease and improving quality of life for both patients and their caregivers.
“A single snapshot in time, like those provided by traditional tests and questionnaires, doesn’t offer insight into the daily functioning and well-being of people with dementia and their loved ones,” explains Jackie Poos, a researcher and neuropsychologist at the Erasmus MC Alzheimer Center. “As a result, symptoms are often not recognized quickly or accurately.” Poos is focused on improving both the diagnosis and follow-up care for individuals with dementia through the development and study of smart digital tools, including apps, wearable sensors, and virtual reality applications.
Five Research Projects
The ‘Digital Dementia Lab’ encompasses five distinct research projects, each designed to capture different aspects of the dementia experience:
Eyetracking to Detect Early Signs of Decline: A long-term study is tracking individuals with a genetic predisposition to frontotemporal dementia. Researchers hope to identify early indicators of cognitive decline by analyzing subtle changes in eye movements and visual processing.
Smart Keyboard Monitoring Concentration Through Typing Patterns: The Neurokeys app analyzes typing speed and accuracy without storing the content of messages. Deviations in typing patterns may signal changes in attention and concentration, potentially enabling earlier detection of cognitive impairment.
App Assessing Reactions to Stimuli During Video Viewing: Participants watch short videos while being exposed to unexpected stimuli, such as beeps, using a specialized app. Analyzing eye responses to these stimuli could provide new insights into how individuals with dementia process information.
Smartwatch Tracking Mood and Stress Levels: Participants wear a smartwatch for two weeks, which records physiological signals alongside regular self-reported mood assessments. The collected data aims to provide personalized advice for patients and caregivers, particularly when experiencing increased irritability or stress.
VR Game Mapping Social Sensitivity: Developed in collaboration with the TU Delft, researchers created a virtual reality environment where participants evaluate social situations. The game assesses their ability to recognize social cues and understand the feelings of others – skills often diminished in frontotemporal dementia.
Patient Perspective
Annette Ossewaarde, 62, who was diagnosed with Alzheimer’s disease, participated in several studies within the ‘Digital Dementia Lab’ alongside her partner. “I think it’s important for the people who come after me,” she shared in a report by Rijnmond broadcasting. The full report can be viewed on the RTV Rijnmond website.
According to Poos, the projects within the ‘Digital Dementia Lab’ offer the potential to significantly personalize dementia care. Current testing methods often fail to adequately address the diverse needs of individuals living with the condition. These new digital tools could provide targeted support at the right time, though further research is needed to fully realize this potential.
Expanding the Digital Approach to Dementia Care
Last month, an international research team unveiled an innovative digital approach to early dementia detection. This method combines a brief self-administered questionnaire with artificial intelligence analysis of electronic health records, automatically identifying subtle medical and cognitive signals without increasing the workload for healthcare providers. This highlights a growing trend toward leveraging technology to address the challenges of dementia diagnosis and management.
