Clinical trials

The goal of this clinical study is to collect standard data for the medical device neos™. neos™ is a system that shows images and measures the resulting eye movements and pupil size. Collecting standard data involves three steps. First it is checked if neos™ eye-tracking works well. Eye-tracking means recording where a person is looking. After that it is checked if participants look at the images shown in neos™ as planned. Finally the eye movements and the pupil size are measured. This is done in healthy volunteers including children and persons with eye and brain problems. Participants in the study will wear a virtual reality headset. The screens in the headset will show different images. Cameras in the headset will record eye movements and pupil size. This will take about 15 minutes. During these 15 minutes the investigator looks at the following behaviors of the participants eyes: * Where are the eyes looking * How do the pupils react to light and darkness * How do the eyes move * How much can the participant see from the corner of their eyes * How well are the eyes working together

In this project, ocular motor, pupil and gait data in people with Parkinson's disease (PD) will be collected in order to develop machine learning models for the diagnosis and monitoring of PD. With this, the investigators aim to advance the state of the art in PD diagnosis and monitoring. By integrating the principles of machine learning with high-quality sensor data, more accurate and earlier diagnosis could potentially be achieved. Ocular motor and pupil data will be collected with the standard clinical examination and with neos, a medical device approved for objective ocular motor and pupil measurement. Gait will be collected using an IMU sensor and GaitQ senti, a consumer device that allows for an objective and continuous remote gait monitoring.