Systems and Methods for Identifying a Contra-ictal Condition in a Subject
First Claim
1. A method for identifying a contra-ictal condition for a subject, the method comprising:
- obtaining a physiological signal dataset from the subject;
generating an N-dimensional feature vector for different time points of the physiological signal dataset;
identifying a grouping of feature vectors or a region of an N-dimensional feature space that is substantially free from ictal activity and is separated in time from subsequent ictal activity by a computed or predetermined time period; and
using the grouping of feature vectors or region of the N-dimensional feature space to identify a contra-ictal condition of the subject.
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Accused Products
Abstract
The invention provides a method of monitoring a subject'"'"'s neurological condition. In some embodiments, the method includes the steps of analyzing a physiological signal (such as an EEG) from a subject to determine if the subject is in a contra-ictal condition; and if the subject is in a contra-ictal condition, providing an indication (e.g., to the subject and/or to a caregiver) that the subject is in the contra-ictal condition, such as by activating a green light or other visible output. In some embodiments, if the subject is in a pro-ictal condition, the method includes the step of providing an indication (such as a red light) that the subject is in the pro-ictal condition. The invention also provides neurological system monitors.
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Citations
58 Claims
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1. A method for identifying a contra-ictal condition for a subject, the method comprising:
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obtaining a physiological signal dataset from the subject; generating an N-dimensional feature vector for different time points of the physiological signal dataset; identifying a grouping of feature vectors or a region of an N-dimensional feature space that is substantially free from ictal activity and is separated in time from subsequent ictal activity by a computed or predetermined time period; and using the grouping of feature vectors or region of the N-dimensional feature space to identify a contra-ictal condition of the subject. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method of developing a physiological signal monitoring algorithm, the method comprising:
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obtaining a physiological signal from a subject; identifying ictal activity in the physiological signal; extracting N features from the physiological signal; generating a feature vector of the extracted N features for time points of the physiological signal; identifying a grouping of points in a feature space that is free from ictal activity and is separated in time from the ictal activity by a predetermined or computed time period, wherein the identified grouping of points is a state for the subject in which the subject is unlikely to have an ictal event within the predetermined or computed time period; training the algorithm on the identified grouping of grouping of points; storing the algorithm in a patient monitoring device; and using the algorithm to identify a contra-ictal condition of the subject. - View Dependent Claims (8, 9, 10, 11)
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12. A method of monitoring a subject'"'"'s neurological condition, the method comprising:
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analyzing a physiological signal from a subject to determine if the subject is in a contra-ictal condition; and if the subject is in a contra-ictal condition, providing an indication that the subject is in the contra-ictal condition. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
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27. A subject advisory system comprising:
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a processing assembly configured and programmed to process a data signal obtained from a subject to determine if the subject is in a contra-ictal condition; and an indication assembly adapted to provide an indication that the subject is in the contra-ictal condition. - View Dependent Claims (28, 29, 30, 31, 32, 33, 34, 35)
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36. A seizure advisory system comprising:
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an electrode configured to sample an EEG signal from a subject; an implanted communication unit coupled to the electrode, the implanted communication unit configured to transmit a wireless signal from the subject'"'"'s body; and a subject advisory device that is external to the subject'"'"'s body, the subject advisory device comprising; a processing assembly that processes the wireless signal to determine if the subject is in a contra-ictal condition; and a user interface that provides an output to the subject that indicates that the subject is in the contra-ictal condition. - View Dependent Claims (37)
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38. A method of monitoring a subject'"'"'s neurological condition, the method comprising:
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analyzing a physiological signal from the subject; and providing an indication when the subject is highly unlikely to enter an ictal state for a predetermined period of time. - View Dependent Claims (39, 40, 41, 42, 43, 44, 45, 46, 47, 48)
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49. A method of monitoring a subject'"'"'s neurological condition, the method comprising:
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analyzing a physiological signal from a subject to determine the subject'"'"'s neurological state; and based on the state determined in the analyzing step, providing an input to a closed loop therapeutic system adapted to alter the neurological state.
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50. A user interface for a seizure advisory system, the user interface comprising:
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a first indicator that indicates when the subject is in a contra-ictal condition; a second indicator that indicates when the subject is in a pro-ictal condition; and a processor that is configured to activate or deactivate the first and second indicator depending on the subject'"'"'s estimated condition. - View Dependent Claims (51, 52, 53, 54)
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55. A user interface for a seizure advisory system, the user interface comprising:
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an indicator that indicates when the subject is in a contra-ictal condition and a pro-ictal condition; a processor that is configured to activate or deactivate the indicator based on the subject'"'"'s estimated condition.
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56. A user interface for a seizure advisory system, the user interface comprising:
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a first indicator that indicates when the subject is unlikely to transition to a pro-ictal condition within a period of time; a second indicator that indicates when the subject is in a pro-ictal condition; and a processor that is configured to activate or deactivate the first and second indicator depending on the subject'"'"'s estimated condition. - View Dependent Claims (57)
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58. A user interface for a seizure advisory system, the user interface comprising:
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a first indicator that indicates when the subject is unlikely to transition to an ictal condition within a period of time; a second indicator that indicates when the subject is in a pro-ictal condition; and
a processor that is configured to activate or deactivate the first and second indicator depending on the subject'"'"'s estimated condition.
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Specification