Method for automated detection of A-waves
First Claim
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1. A method for detecting an A-wave, the method comprising:
- applying a series of stimuli to a nerve;
recording a series of evoked bioelectrical responses;
identifying one or more attributes in each of the responses;
utilizing each of the one or more attributes of each of the responses to create a new data set;
creating a search window that is smaller than the new data set;
searching the new data set for trends by;
sequentially applying the search window across the new data set; and
analyzing the search window by counting the number of data points contained within the search window at each separate, sequential search window position;
analyzing the new data set by;
registering a positive for an A-wave component if the number of data points contained within the search window at each separate, sequential search window position exceeds a predetermined threshold; and
registering a negative for an A-wave component if the number of data points contained within the search window at each separate, sequential search window position does not exceed a predetermined threshold; and
consolidating the A-wave components into a single A-wave.
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Abstract
In one form of the present invention, there is provided a method for detecting an A-wave, the method comprising:
- applying a series of stimuli to a nerve;
- recording a series of late responses;
- creation of a feature space map from an ensemble of late responses;
- identification of clusters within the feature space that represent A-wave components;
- consolidation of A-wave components into a discrete collection of A-waves;
- removal of false positive A-waves; and
- extraction of A-wave characteristics.
In another form of the present invention, there is provided a system for detecting an A-wave comprising:
- a stimulation electrode;
- a stimulation circuit connected to the stimulation electrode for applying a series of stimuli to a nerve;
- a detection electrode;
- a detection circuit connected to the detection electrode; and
- an analyzer connected to the detection electrode and adapted to detect an A-wave by:
- recording a series of late responses detected by the detection circuit;
- creation of a feature space map from an ensemble of late responses;
- identification of clusters within the feature space map that represent A-wave components;
- consolidation of A-wave components into a discrete collection of A-waves;
- removal of false positive A-waves; and
- extraction of A-wave characteristics.
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Citations
5 Claims
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1. A method for detecting an A-wave, the method comprising:
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applying a series of stimuli to a nerve; recording a series of evoked bioelectrical responses; identifying one or more attributes in each of the responses; utilizing each of the one or more attributes of each of the responses to create a new data set; creating a search window that is smaller than the new data set; searching the new data set for trends by; sequentially applying the search window across the new data set; and analyzing the search window by counting the number of data points contained within the search window at each separate, sequential search window position; analyzing the new data set by; registering a positive for an A-wave component if the number of data points contained within the search window at each separate, sequential search window position exceeds a predetermined threshold; and registering a negative for an A-wave component if the number of data points contained within the search window at each separate, sequential search window position does not exceed a predetermined threshold; and consolidating the A-wave components into a single A-wave. - View Dependent Claims (2, 3, 4, 5)
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Specification