Detection of psychological disorder activity patterns

• US 20050245790A1
• Filed: 09/26/2003
• Published: 11/03/2005
• Est. Priority Date: 10/04/2002
• Status: Active Grant

• Current Assignee: Qbtech AB
• Original Assignee: Qbtech AB
• Inventors: Bergfalk, Henrik, Knagenhjelm, Petter
• Granted Patent: US 7,720,610 B2
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/168 Evaluating attention deficit, hyperactivity
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A method for detecting a psychological disorder in a person comprises collecting movement and, optionally, other data from the person by a device borne by the person; storing the data in a memory in contact with the device during the collection of data; transferring the stored data to a computer; calculating at least one set of parameter data distinctive of the movement data; feeding the least one set of parameter data to an Artificial Neural Network trained to recognise in the data a feature specific for a psychological disorder or a group of such disorders. Also is disclosed an assembly for carrying out the method.

Claims

1. A method for detecting a psychological disorder in a person by recording an activity pattern of the person and analysing it, the method comprising:

collecting movement and, optionally, other data from a person by a device borne by the person during data collection;

storing the collected data in a memory in contact with the device during the collection of data;

transferring the stored data to a computer,

calculating at least one set of parameter data distinctive of said movement data;

feeding said at least one set of said parameter data to an Artificial Neural Network trained to recognise in said data a feature specific for a psychological disorder or a group of psychological disorders, thereby determining the presence or absence of said psychological condition.

2. The method of claim 1, wherein the psychological disorder is selected from the group comprising:

Attention-deficit-hyperactivity disorder (ADHD), Disruptive behaviour disorder, Disorders including sleep disorders such as Primary insomnia and Sleepwalking disorder, Posttraumatic stress syndrome, phobias, Bipolar affective disorder, Bipolar mood disorder, Major depression, Unipolar major depressive disorder, Schizoaffective disorder manic type, Schizophrenia, Panic disorder with agoraphobia, Social phobia, Obsessive-compulsive disorder, Amphetamine abuse, Hallucinogen disorder, Cannabis intoxication, Opoid dependence, Tourette'"'"'s Disorder, Autistic disorder.

3. The method of claim 2, wherein the psychological disorder is ADHD and other hyperactivity disorder.

4. The method of claim 2, wherein the psychological disorder is a bipolar affective disorder (maniac-depressive illness).

5. The method of claim 1, comprising the calculation of at least two sets of parameter data.

6. The method of claim 1, comprising the collection of non-movement data simultaneously with the collection of the movement data, and to analyse said other data in a corresponding manner in the artificial neural network.

7. The method of claim 5, wherein the non-movement data is heart rate data.

8. The method of claim 1, wherein the person is under the influence of a drug capable of affecting a psychological disorder of which the person may suffer.

9. The method of claim 8, wherein the drug is amphetamine.

10. The method of claim 1, wherein movement data is collected over a period of at least 8 hours.

11. The method of claim 1, wherein movement data is collected over a period of at least 24 hours.

12. An assembly for detecting a psychological disorder in a person by recording an activity pattern of the person and analysing it, the assembly comprising:

a device for collecting movement and, optionally, other data from a person, the device being borne by the person during data collection;

a memory in contact with the device during the collection of data for storing said data;

transfer means including an interface for the transfer of the stored data to a computer,

software means for calculating at least one set of parameter data distinctive of said movement data;

means for feeding said at least one set of said parameter data to an Artificial Neural Network trained to recognise in said data a feature specific for a psychological disorder or a group of psychological disorders.