Implantable systems and methods for identifying a contra-ictal condition in a subject
First Claim
1. A minimally invasive seizure advisory system comprising:
- a plurality of implantable devices, each implantable device configured to sample an EEG signal from a subject and 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 signals from each of the plurality of implantable devices to determine if the subject is in a contra-ictal condition, said contra-ictal condition being a neurological state in which the subject is unlikely to transition into an ictal condition within a time period; and
a user interface that provides an output to the subject that indicates that the subject is in the contra-ictal condition.
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Accused Products
Abstract
Systems and methods of monitoring a subject'"'"'s neurological condition are provided. 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. The systems and methods may utilize a minimally invasive, leadless device to monitor the subject'"'"'s condition. 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.
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Citations
40 Claims
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1. A minimally invasive seizure advisory system comprising:
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a plurality of implantable devices, each implantable device configured to sample an EEG signal from a subject and 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 signals from each of the plurality of implantable devices to determine if the subject is in a contra-ictal condition, said contra-ictal condition being a neurological state in which the subject is unlikely to transition into an ictal condition within a time period; 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 (2, 3, 4, 5, 6, 7, 8)
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9. A method of monitoring a subject'"'"'s neurological condition, the method comprising:
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implanting a device between a subject'"'"'s skull and scalp; analyzing a physiological signal from the subject using a processor to determine if the subject is in a contra-ictal condition, said contra-ictal condition being a neurological state in which the subject is unlikely to transition into an ictal condition within a time period, wherein said analyzing the physiological signal comprises; extracting N features from the physiological signal; generating a N-dimensional feature vector of the extracted N features for time points of the physiological signal; and determining if the N-dimensional feature vector is within a contra-ictal cluster or region in the N-dimensional space; and if the subject is in a contra-ictal condition, providing an output to the subject using an external advisory device, said output being indicative of the subject being in the contra-ictal condition. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A subject advisory system comprising:
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an implantable device adapted to sample a physiological signal from a subject and transmit a wireless signal from a subject'"'"'s head; a processing assembly that processes the wireless signal from the implantable device to determine if the subject is in a contra-ictal condition, said contra-ictal condition being a neurological state in which the subject is at a low susceptibility to having a seizure within a time period, wherein the processing assembly determines if the subject is in a contra-ictal condition by; extracting N features from the wireless signal, generating a N-dimensional feature vector of the extracted N features for time points of the wireless signal, and determining if the N-dimensional feature vector is within a contra-ictal cluster or region in the N-dimensional space; 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 (16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A method of monitoring a subject'"'"'s neurological condition, the method comprising:
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implanting a device between a subject'"'"'s skull and scalp; analyzing a physiological signal from the subject using a processor to determine if the subject is in a contra-ictal condition, said contra-ictal condition being a neurological state in which the subject is unlikely to transition into an ictal condition within a time period, wherein said analyzing the physiological signal comprises; extracting N features from the physiological signal; generating a N-dimensional feature vector of the extracted N features for time points of the physiological signal; and transforming the N-dimensional feature vector to an M-dimensional feature vector, and determining if the M-dimensional feature vector is within a contra-ictal cluster or region in the M-dimensional space; and if the subject is in a contra-ictal condition, providing an output to the subject using an external advisory device, said output being indicative of the subject being in the contra-ictal condition. - View Dependent Claims (26, 27, 28, 29, 30)
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31. A subject advisory system comprising:
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an implantable device adapted to sample a physiological signal from a subject and transmit a wireless signal from a subject'"'"'s head; a processing assembly that processes the wireless signal from the implantable device to determine if the subject is in a contra-ictal condition, said contra-ictal condition being a neurological state in which the subject is at a low susceptibility to having a seizure within a time period, wherein the processing assembly determines if the subject is in a contra-ictal condition by; extracting N features from the wireless signal, generating a N-dimensional feature vector of the extracted N features for time points of the wireless signal, and transforming the N-dimensional feature vector to an M-dimensional feature vector, and determining if the M-dimensional feature vector is within a contra-ictal cluster or region in the M-dimensional space; 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 (32, 33, 34, 35, 36, 37, 38, 39, 40)
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Specification