Abstract: Disclosed is an apparatus for providing information relating to a cognitive state of a first individual. The apparatus comprises a measurement unit operable to measure the first individual's hand movement in a personal axis, the personal axis being an axis from the hand to the first individual. The apparatus comprises a recording module configured to record data from the measurement unit. The apparatus comprises a machine learning module configured to provide information relating to the cognitive state of the first individual using a set of first movement data based on the data recorded by the recording module. The set of first movement data preferentially relates to movement of the hand of the first individual in the personal axis over movement of the hand of the first individual in axes orthogonal to the personal axis.

Abstract: In one embodiment there is disclosed an apparatus (1) for determining a cognitive state of a user of a mobile device (2), the apparatus (1) comprising: the mobile device (2), an IMU (6) in the mobile device (2), optical output means (5.1) in the mobile device (2), for optically giving out information to the user, a camera (3) in the mobile device (2), for recording images of an environment of the mobile device (2), an augmented reality module (14), for generating an augmented reality environment (AR) shown via the optical output means (5.1) and based on the environment (PE) of the mobile device (2) captured by the camera (3), characterised in that the apparatus (1) further comprises an enabling module (15), for enabling an input element (10.1) in the mobile device (2) once the augmented reality environment is shown, said enabling depending on data measured by the IMU (6), said input element (10.

Abstract: A method and system for obtaining a measurement of cognitive performance in an individual, provide for obtaining a measure of at least one of the following activity parameters for the individual: 1) spatial memory accuracy; 2) planning accuracy; 3) ability to carry out dual-task interactions while navigating to a goal, wherein omission of the dual-task interactions is measured; 4) perseverations of incorrect dual-task interactions while navigating to a goal; 5) total time required by the individual to complete a navigation route; 6) upper extremity neuro-motor parameters; 7) reaction time of dual-task interactions; and 8) reaction time of the idle state of the individual; receiving the measures obtained into an algorithm; and computing a functional impairment score for the individual on the basis of baseline measurements obtained from a population of healthy individuals. The measurements are obtained using an app on an electronic portable device.

Abstract: Disclosed is an apparatus for providing information relating to a cognitive state of a first individual. The apparatus comprises a measurement unit operable to measure the first individual's hand movement in a personal axis, the personal axis being an axis from the hand to the first individual. The apparatus comprises a recording module configured to record data from the measurement unit. The apparatus comprises a machine learning module configured to provide information relating to the cognitive state of the first individual using a set of first movement data based on the data recorded by the recording module. The set of first movement data preferentially relates to movement of the hand of the first individual in the personal axis over movement of the hand of the first individual in axes orthogonal to the personal axis.

Abstract: In one embodiment there is disclosed an apparatus (1) for determining a cognitive state of a user of a mobile device (2), the apparatus (1) comprising: the mobile device (2), an IMU (6) in the mobile device (2), optical output means (5.1) in the mobile device (2), for optically giving out information to the user, a camera (3) in the mobile device (2), for recording images of an environment of the mobile device (2), an augmented reality module (14), for generating an augmented reality environment (AR) shown via the optical output means (5.1) and based on the environment (PE) of the mobile device (2) captured by the camera (3), characterised in that the apparatus (1) further comprises an enabling module (15), for enabling an input element (10.1) in the mobile device (2) once the augmented reality environment is shown, said enabling depending on data measured by the IMU (6), said input element (10.

Abstract: A method of generating a digital biomarker signature for identification of a prodromal condition of a disease includes the steps of: obtaining a plurality of sets of digital biomarkers for preclinical Alzheimer's disease; selecting a subset of the plurality digital biomarkers; applying the subset of digital biomarkers to a group of subjects exhibiting a disease other than Alzheimer's; ranking the biomarkers of the subset on the basis of the commonality of each biomarker in said group of subjects; determining a digital biomarker signature indicative of said disease on the basis of the subset of the plurality of biomarkers and the ranking thereof. The other disease may be Parkinson's disease, and the subject of digital biomarkers may be deemed indicative of prodromal Parkinson's disease. An embodiment may use detection and prediction models for Alzheimer's disease to the identification of prodromal Parkinson's disease using explainable artificial intelligence.