Systems and methods for cooperative invasive and noninvasive brain stimulation
Inventors
Assignees
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Publication Number
US-10799708-B2
Publication Date
2020-10-13
Expiration Date
Abstract
Methods and systems for optimizing invasive and noninvasive brain stimulation are described herein. In a particular embodiment, methods and systems for a combinatorial, iterative approach to modify behavior are presented wherein deep brain stimulation (DBS) and other brain stimulation therapies are implemented in combination with monitoring the brain activity of an individual to optimize the effectiveness of the combinatorial approach to modify behavior. Methods described herein are iterative and systems described herein are utilized in iterative fashion. In a particular embodiment, modifying behavior provides a therapy for an individual in need thereof.
Core Innovation
The invention relates to a system and a method that modulate brain electrical activity of an individual while the individual is performing a particular activity. A stimulation device provides at least one stimulus configured to promote the ability of the individual to perform the activity, while an apparatus worn on the head continuously detects the particular activity and associated brain electrical activity in real time. A specifically programmed computer system is coupled to the stimulation device and the apparatus to operate in real time.
The computer system continuously projects the detected brain electrical activity in real time onto a denoised optimal set of wavelet packet atoms and obtains a particular set of projections. The denoised optimal set is based on brain electrical activity collected from a plurality of individuals performing the particular activity, where each individual exhibits a pre-determined level of ability and the representative brain electrical activity corresponds to that level of ability. The denoised optimal set and the representative basis are selected using at least one common feature comprising at least one of a physiological measurement based on a score in a determinative test or assessment, an emotional attribute, age, gender, or genetics.
The computer system continuously assesses, in real time, the brain electrical activity of the individual relative to the representative brain electrical activity by applying at least one machine learning algorithm trained by the plurality and their associated brain electrical activity. Using the machine learning assessment, the computer system continuously determines a relationship among the particular activity, the detected brain electrical activity, the real-time assessment relative to the representative activity, and the at least one stimulus, and continuously causes adjustment of the specific stimulation pattern based on the relationship to promote the ability of the individual to perform the activity.
In disease or disorder use, the system is directed toward reducing at least one symptom of the disease or disorder. The disease or disorder impairs the ability to perform the particular activity, and the continuously adjusting of the specific stimulation pattern is directed to reducing at least one symptom of the disease or disorder.
Claims Coverage
The document identifies three independent claims. Across them, the claim coverage centers on continuous detection of brain electrical activity during a particular activity, real-time projection onto a denoised optimal set of wavelet packet atoms derived from a plurality at a predetermined level of ability, and machine-learning-based real-time assessment used to continuously adjust a specific stimulation pattern.
Continuous stimulus-modulated brain electrical activity during a particular activity
The stimulation device administers at least one stimulus to modulate brain electrical activity while the individual performs a particular activity, with an apparatus worn on the head continuously detecting the particular activity and the brain electrical activity associated with the particular activity.
Real-time denoised wavelet packet projection onto an optimal set
The computer system continuously projects, in real time, the detected brain electrical activity of the individual onto a denoised optimal set of wavelet packet atoms to obtain a particular set of projections.
Representative wavelet packet basis from a plurality at a predetermined ability level
The denoised optimal set of wavelet packet atoms is based on brain electrical activity collected from a plurality of individuals performing the particular activity, where each exhibits a pre-determined level of ability and the plurality’s brain electrical activity is representative at that pre-determined level of ability, based on at least one common feature used for selecting the plurality.
Machine learning for real-time assessment relative to representative activity and relationship-driven stimulation adjustment
The computer system continuously assesses, in real time, the brain electrical activity of the individual relative to the representative brain electrical activity by applying at least one machine learning algorithm trained by the plurality, continuously determines a relationship among the particular activity, detected brain electrical activity, the real-time assessment, and the at least one stimulus, and continuously causes adjustment of the specific stimulation pattern based on the relationship to promote the ability of the individual to perform the activity.
Disease or disorder impairment with symptom reduction by relationship-driven stimulation adjustment
For the independent method claim variant, the individual has a disease or disorder that impairs the ability to perform the particular activity, and the continuously adjusting of the specific stimulation pattern is directed to reducing at least one symptom of the disease or disorder.
Across the independent claims, the core claim coverage is continuous monitoring of brain electrical activity during a particular activity, real-time projection onto a denoised optimal wavelet packet atom set, machine-learning-based real-time assessment relative to representative activity, and continuous determination of a relationship that drives continuous adjustment of a specific stimulation pattern to promote ability, including symptom reduction in disease or disorder use.
Stated Advantages
Promote the ability of the individual to perform the particular activity.
Continuously adjust the specific stimulation pattern based on the determined relationship.
In disease or disorder use, reduce at least one symptom of the disease or disorder.
Documented Applications
Treating disease or disorder impairing the ability to perform a particular activity by reducing at least one symptom of the disease or disorder.
Use with a disease or disorder selected from Parkinson's disease, tremors, motor dysfunction, dyskinesia, gate freeze, epilepsy, migraine headaches, pain, anxiety, depression, mood swings, attention deficit disorders, sleep disorders, or cognitive decline disorders.
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