PERSONALITY ASSESSMENT AND TREATMENT DETERMINATION SYSTEM

• US 20170258385A1
• Filed: 08/02/2016
• Published: 09/14/2017
• Est. Priority Date: 03/13/2016
• Status: Active Grant

• Current Assignee: Abrar H.A. Al-Bahrani, Mahdi S.H.S.A. Al-Sayed Ebrahim
• Original Assignee: Abrar H.A. Al-Bahrani, Mahdi S.H.S.A. Al-Sayed Ebrahim
• Inventors: EBRAHIM, MAHDI S.H.S.A. AL-SAYED, AL-BAHRANI, ABRAR H.A.
• Granted Patent: US 9,839,388 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 10/0051 for taking saliva or sputum samples devices for receiving spittle A61J9/00
• CPC Class Codes: A61B 10/007 for taking urine samples measuring urological functions A61B5/20; genital receptacles A61F5/451; urinals for bed-ridden persons A61G9/006
• CPC Class Codes: A61B 2560/0431 Portable apparatus, e.g. comprising a handle or case
• CPC Class Codes: A61B 2562/0295 Strip shaped analyte sensors for apparatus classified in A61B5/145 or A61B5/157
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/1176 Recognition of faces
• CPC Class Codes: A61B 5/15 Devices for taking samples of blood hypodermic syringes A61M5/178
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G01N 33/48 Biological material, e.g. blood, urine G01N33/02, G01N33/26, G01N33/44, G01N33/46 take precedence; Haemocytometers counting blood corpuscules distributed over a surface by scanning the surface G06M11/02
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/00 ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

The personality assessment and treatment determination system includes a facial recognition device for imaging a patient'"'"'s face and receiving demographic and personality information from the patient, and a micro-lab device positioned in communication with the facial recognition device. The micro-lab device includes a body having at least one slot configured for receiving a slide holding the patient'"'"'s bodily fluid, a scanner for analyzing the patient'"'"'s bodily fluid, and a selector switch for selecting the bodily fluid to be analyzed. The information from the facial recognition device, each of the plurality of questionnaires, and from the micro-lab device is combined to determine the patient'"'"'s psychological disorder and a to treatment for the patient'"'"'s psychological disorder.

Claims

1. A personality assessment and treatment determination system for a patient, comprising:

a facial recognition device configured for imaging the patient'"'"'s face and displaying questions to the patient regarding the patient'"'"'s demographic information, and displaying questions to the patient related to psychological state assessments of the patient consisting of anxiety, depression, frustration, and shyness; and

a micro-lab device in communication with the facial recognition device, the micro-lab device including a body having a plurality of slots, each of the plurality of slots being adapted for receiving a slide containing a biological sample from the patient, wherein the biological sample from the patient comprises at least one of blood, urine, and saliva on a respective slide, and a scanner configured for scanning the sample; and

means for determining at least one psychological disorder associated with the patient and a treatment for the at least one psychological disorder based on the image data of the patient'"'"'s face generated by the facial recognition device, the answers to the psychological questions, and biological data associated with the biological sample generated by the micro-lab device.

5. The personality assessment and treatment determination system according to claim 1, further comprising a case having an interior portion and an exterior portion.

6. The personality assessment and treatment determination system according to claim 5, wherein the case comprises a portfolio case.

7. The personality assessment and treatment determination system according to claim 5, wherein the interior portion comprises a plurality of compartments.

8. The personality assessment and treatment determination system according to claim 5, wherein the exterior portion comprises a plurality of compartments.

2-4. -4. (canceled)

9. A method for developing a psychological treatment strategy, comprising the steps of:

imaging the face of a patient using a facial recognition device to provide facial feature data;

presenting questions to the patient, the questions relating to psychological states selected from the group consisting of anxiety, depression, shyness, gloominess, and combinations thereof;

receiving data from the patient in response to the questions to provide questionnaire data;

receiving at least one sample of a bodily fluid from the patient in a micro-lab device to provide biological data, the at least one sample being selected from the group consisting of a blood sample, a urine sample, a saliva sample, and combinations thereof;

comparing the patient'"'"'s facial feature data, questionnaire data, and biological data with a pre-recorded data set associated with a particular disorder;

diagnosing the patient'"'"'s disorder based on the comparison; and

generating a treatment report for the disorder based on known treatments for the diagnosed disorder.