SYSTEMS AND METHODS FOR MONITORING AND EVALUATING INDIVIDUAL PERFORMANCE

• US 20100081889A1
• Filed: 09/30/2009
• Published: 04/01/2010
• Est. Priority Date: 06/16/2006
• Status: Abandoned Application

• Current Assignee: Archinoetics LLC
• Original Assignee: Archinoetics LLC
• Inventors: O'Donnell, Brendan F. P., Nishimura, Erin, Downs, Traci H., Downs, J. Hunter III, Akagi, Jason, Rapoport, Evan D., Stautzenberger, J. Patrick, Cirit, Fahrettin Olcay
• Application Number:
  US12/571,081
• Publication Number:
  US 20100081889A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Systems, devices and methods for monitoring and evaluating cognitive effectiveness are provided. In one exemplary embodiment, a system of r monitoring cognitive effectiveness can include a central network communicatively couple with a local computing device, which can in turn be communicatively coupled with a portable monitoring device. The portable monitoring device can be located in proximity with a subject and configured to collect data from the subject usable in determining a cognitive effectiveness level. Adaptive methods for determining cognitive performance are also provided.

Claims

1. A method of monitoring individual performance, comprising:

measuring an objective data parameter corresponding to a first aspect of a subject;

collecting a subjective data parameter corresponding to a second aspect of the subject by way of a user interface; and

determining a cognitive effectiveness level of the subject based at least on the objective and subjective data parameters;

wherein the subjective data parameter is a data parameter representative of a subject'"'"'s manual indication of a subjective mental state, the subjective mental state including a wake state.

2. A method of monitoring individual performance using an algorithm for determining cognitive effectiveness, comprising:

measuring at least one objective data parameter corresponding to at least a first aspect of a subject;

collecting at least one subjective data parameter corresponding to at least a second aspect of the subject by way of at least one user interface; and

adapting the algorithm for the subject based on at least on the objective data parameter and the at least one subjective data parameter for the subject.