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Advanced Multisensorial System for Automatic Assessment of Neurological Disorders in Smart Spaces-URJC
Sponsor: Universidad Rey Juan Carlos
Summary
Neurological diseases affect people's cognitive and physical abilities, limiting their functional independence and causing disability, which in many cases, is progressive and degenerative. Being able to perform activities of daily living is a challenge in these pathologies. Currently, different observational tools are administered to assess the degree of functional limitation in basic and instrumental Activities of Daily Living (ADL). However, the assessment must be performed in an ecological and real context to obtain objective information and ensure the most accurate assessment possible. To this end, it is necessary to consider the factors that influence the performance of ADLs and also on the quality of their execution, especially in this population in which the stressful situation of direct observation by an evaluator has a direct influence on the final score. NeurEYE aims to develop technological tools to extract from sensory systems typical of intelligent spaces and with the help of signal processing and machine learning processes based on artificial intelligence, indicators of neurological impairment that influence functional capacity and function/dysfunction components while observing the performance of an activity of daily living. In addition, NeurEYE would provide as a scientific breakthrough the accurate description of subjects' limitations in the controlled assessment environment within the routine patient context. The NeurEye project will allow the clinical validation of a multisensory system that, through the detection of functional limitations in the ADLs of patients with neurological disorder, allows to establish the level of disability of the subjects. In addition, the qualitative and quantitative description of the functional alterations of the person with neurological disorders and, the elimination of the subjective bias of the examiner, will allow the generation of individualized clinical and statistical reports according to sex, activity, etc. that will be clinically useful in the early detection, diagnosis, and adaptation of rehabilitation treatments to the specific functional needs of neurological disorders.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
50
Start Date
2026-11
Completion Date
2028-11
Last Updated
2026-11-02
Healthy Volunteers
Yes
Conditions
Interventions
NEUREYE: healthy people
The data to be captured are exclusively video andaudio recordings, and different signals from smartwatches (mainly related to movement). Addittionaly,the clinical evaluation of the performance of theseactivities will be carried out according to theassessment scales to be defi ned in the project. Theresults of this evaluation will be exclusively used in the training of the automatic systems developed in the project and in order to establish a correlation between the captured observations (video, audio, smart watches signals) and the diagnostic assessment.
NEUREYE: people with neurological disease
The data to be captured are exclusively video andaudio recordings, and different signals from smartwatches (mainly related to movement). Addittionaly,the clinical evaluation of the performance of theseactivities will be carried out according to theassessment scales to be defi ned in the project. Theresults of this evaluation will be exclusively used inthe training of the automatic systems developed int he project and in order to establish a correlation between the captured observations (video, audio, smart watches signals) and the diagnostic assessment.
Locations (1)
Facultad de Ciencias de la Salud. Universidad Rey Juan Carlos
Alcorcón, Madrid, Spain