METHOD AND SYSTEM FOR REAL-TIME SIGNAL CLASSIFICATION

• US 20110035190A1
• Filed: 10/15/2010
• Published: 02/10/2011
• Est. Priority Date: 05/03/2005
• Status: Active Grant

• Current Assignee: Aware Incorporated (Crowley Holdings Preferred LLC)
• Original Assignee: Aware Incorporated (Crowley Holdings Preferred LLC)
• Inventors: Elledge, Christopher, DeVaul, Richard W., Barkalow, Daniel
• Granted Patent: US 8,036,842 B2
• Time in Patent Office: Days
• US Class Current: 702/190
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: G01R 29/00 Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
• CPC Class Codes: G06F 17/16 Matrix or vector computation , e.g. matrix-matrix or matrix-vector multiplication, matrix factorization matrix transposition G06F7/78
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A method to achieve an accurate, extremely low power state classification implementation is disclosed. Embodiments include a sequence that matches the data flow from the sensor transducer, through analog filtering, to digital sampling, feature computation, and classification.

Claims

1. A method for real-time signal classification, the method to be executable on a low-power processor, the method comprising:

providing a managed bandwidth signal;

establishing a time bound for executing steps in the method;

windowing, within the time bound, the managed bandwidth signal to produce a vector;

performing, within the time bound, feature computation using fixed point arithmetic on the vector to produce a model-compatible vector;

projecting, within the time bound, the model-compatible vector having a first multi-dimensional factor space onto a second multi-dimensional factor space where the second multi-dimensional factor space is smaller than the first multi-dimensional factor space to produce a lower dimensional factor vector; and

evaluating, within the time bound and using log representations, the lower dimensional factor vector against a model to produce a classification result.

2-18. -18. (canceled)