Method, computer program, and system for automated real-time signal analysis for detection, quantification, and prediction of signal changes
First Claim
1. A method of detecting or predicting a neurological event, the method comprising the steps of:
- (a) receiving an input signal;
(b) determining a time-weighted function of the input signal;
(c) determining a percentile tracking filter estimate from the time-weighted function;
(d) comparing the percentile tracking filter estimate to a reference signal in order to detect or predict the neurological event; and
(e) communicating the detection or prediction of the neurological event, wherein each of the above steps is performed on a programmed computer.
1 Assignment
0 Petitions
Accused Products
Abstract
A method, computer program, and system for real-time signal analysis providing characterization of temporally-evolving densities and distributions of signal features of arbitrary-type signals in a moving time window by tracking output of order statistic filters (also known as percentile, quantile, or rank-order filters). Given a raw input signal of arbitrary type, origin, or scale, the present invention enables automated quantification and detection of changes in the distribution of any set of quantifiable features of that signal as they occur in time. Furthermore, the present invention'"'"'s ability to rapidly and accurately detect changes in certain features of an input signal can also enable prediction in cases where the detected changes associated with an increased likelihood of future signal changes.
-
Citations
10 Claims
-
1. A method of detecting or predicting a neurological event, the method comprising the steps of:
-
(a) receiving an input signal; (b) determining a time-weighted function of the input signal; (c) determining a percentile tracking filter estimate from the time-weighted function; (d) comparing the percentile tracking filter estimate to a reference signal in order to detect or predict the neurological event; and (e) communicating the detection or prediction of the neurological event, wherein each of the above steps is performed on a programmed computer. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
-
Specification