Abstract: Methods and systems for simulating training and subpopulations and selecting training scenarios for neurodevelopmental disorders such as autism spectrum disorder (ASD) are described herein. Population data may be received. Skill data indicating skills associated with one or more behaviors exhibited by individuals with one or more neurodevelopmental disorders may be received. Behavioral goals may be identified. Scenario data indicating a plurality of different training scenarios may be generated. Efficacy data may be generated by estimating a probability that skills would be trained by a given training scenario. Estimated clinical success data may be generated by simulating, for each training scenario and for each subject subpopulation, a degree of behavioral change. A combination of a first subject subpopulation and a first training scenario may be selected. The first training scenario may be associated with training a plurality of different skills.

Abstract: Methods and systems for determining a location of an individual in a home, business, structure, or other finite amount of space using one or more beacons.

Abstract: A computer implemented method for determining accuracy of heart rate variability is proposed. The method comprises the following steps: a) providing at least one photoplethysmogram obtained by at least one portable photoplethysmogram device (110); b) Determining at least one signal feature by evaluating the photoplethysmogram; c) Determining the accuracy of heart rate variability by using at least one trained model, wherein the signal features determined in step b) are used as input for the trained model.

Abstract: Methods and systems for assessing autism spectrum disorder (ASD) are described herein. Data identifying one or more behaviors associated with ASD may be received. A scenario specifying a plurality of different tasks may be received. An extended reality (XR) device may present and XR environment to a subject. The XR device may present, in the XR environment, a first task of the plurality of different tasks. Based on a subject interaction with one or more objects in the XR environment, interaction data may be calculated. Based on the interaction data, at least one second task may be selected from the plurality of different tasks. The at least one second task may be configured to train a different skill as compared to the first task. The XR environment may be modified to present the second task.