Patent Document ID: 7720610
Application ID: 10529948
Patent Flag: 1

Claim One:
1. A method for detecting a psychological disorder condition in a person by recording an activity pattern of the person and analyzing the pattern, the method comprising: receiving, by an electronic memory, electronic activity data comprising at least electronic movement data, wherein the electronic movement data are received from a movement measuring device, and further wherein the electronic movement data are collected by the movement measuring device while the device is worn by the person; storing the collected activity data in a database that is accessible by a computer; calculating by the computer at least one set of parameter data distinctive of the electronic movement data; feeding the at least one set of parameter data to an Artificial Neural Network; organizing, by the Artificial Neural Network, groups or clusters of the parameter data that have similar properties, wherein the properties represent a feature specific for a psychological disorder or a group of psychological disorders; associating the groups or clusters with labels dependent on features from the parameter data having known qualities that are related to psychological disorders; analyzing, by the Artificial Neural Network, the received set of parameter data by: (i) determining, dependent on the set of parameter data, a response value that is indicative of a distance between the received set of parameter data and the groups or clusters; and (ii) determining, dependent on the response value, at least one of the groups or clusters that is proximate to the response value; and outputting an indication of the label of the at least one of the groups or clusters as a classification of a respective feature related to at least one psychological disorder, thereby determining the presence or absence of the psychological condition.