Systems and methods for the diagnosis and treatment of neurological disorders

Abstract

Systems and methods for data compression which facilitate the diagnosis and treatment of neurodevelopmental and neurodegenerative disorders. The methods comprise performing the following operations by a computing device: generating Normalized Data ("ND") from Original Data ("OD") that defines a Normalized Waveform ("NW") that is unitless and scaled from zero to one; processing ND to extract Micro-Movement Data ("MMD") defining a Micro-Movement Waveform ("MMW") comprising a plurality of MMD points; and generating compressed data comprising a stochastic signature of MMW. Each MMD point determined based on a value of a peak of NW and a value representing an average of all data point values between a first valley of NW immediately preceding the peak and a second valley of NW immediately following the peak. The stochastic signature is defined by empirically estimated values of at least one parameter representing a Probability Distribution Function ("PDF") of a continuous family of PDFs.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to U.S. Patent Ser. No. 62 / 198,930 filed on Jul. 30, 2015, and is a continuation-in-part of U.S. patent application Ser. No. 14 / 354,796 filed Apr. 28, 2014, which is a U.S. National Phase of International Patent Application Serial No. PCT / US2012 / 064805 filed Nov. 13, 2012, which claims priority under 35 U.S.C. §119(e) to U.S. Patent Ser. No. 61 / 648,359 filed on May 17, 2012, U.S. Patent Ser. No. 61 / 581,953 filed on Dec. 30, 2011, and U.S. Patent Ser. No. 61 / 558,957 filed on Nov. 11, 2011. The content of the above applications are incorporated by reference in their entirety.GOVERNMENT RIGHTS[0002]The invention was made with Government support under Grant No. 0941587 awarded by the National Science Foundation. The Government has certain rights in the invention.FIELD OF THE INVENTION[0003]This document relates generally to neurodevelopmental and neurodegenerative disorders (e.g., autism spectrum disorders). M...

AI Technical Summary

Benefits of technology

The patent describes systems and methods for detecting and analyzing neurological disorders in humans or animals. The systems use data collected from sensors or bodily rhythms to create a normalized waveform and extract micro-movement data. This data is then used to create a stochastic signature, which is a probability distribution function that describes the randomness of the data. The stochastic signature is used to estimate the noise-to-signal ratio and level of randomness in the data. The methods also involve comparing different testing parameters to the stochastic signature to determine the most effective treatment for the disorder. The technical effects of the patent include improved detection and analysis of neurological disorders and a more personalized approach to treatment.

Problems solved by technology

Current methods are ineffective at addressing these two objectives.

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