Patent classifications
A61N1/36067
TECHNIQUE TO IMPROVE DEEP BRAIN STIMULATION TARGETING DURING INTRAOPERATIVE MICROELECTRODE RECORDINGS
A method of localizing brain regions for the purpose of guiding placement of electrodes and related implants is disclosed. The inventive method involves effecting a pulse in a patient's brain, temporally aligning readings taken from an electrode at various depths, measuring local field potentials at each depth during interstimulus intervals, performing a coherence analysis comparing the local field potential measurements of the different depths, and determining a corresponding brain region for the depths compared.
Minimally invasive implantable neurostimulation system
- Brad C. Tischendorf ,
- John E. Kast ,
- Thomas P. Miltich ,
- Gordon O. Munns ,
- Randy S. Roles ,
- Craig L. Schmidt ,
- Joseph J. Viavattine ,
- Christian S. Nielsen ,
- Prabhakar A. Tamirisa ,
- Anthony M. Chasensky ,
- Markus W. Réitérer ,
- Chris J. Paidosh ,
- Reginald D. Robinson ,
- Bernard Q. Li ,
- Erik R. Scott ,
- Phillip C. Falkner ,
- Xuan K. Wei ,
- Eric H. Bonde
An implantable medical device (IMD) has a housing enclosing an electronic circuit. The housing includes a first housing portion, a second housing portion and a joint coupling the first housing portion to the second housing portion. A polymer seal is positioned in the joint in various embodiments. Other embodiments of an IMD housing are disclosed.
System and Method for Determination of Connected Neurostimulation Leads
The types of electrode leads that are connected to an implantable medical device are determined based on electrical parameters that are measured at the electrodes that are positioned on the leads. The different types of known electrode leads have different physical electrode arrangements that impact the measured electrical parameters. Properties in the measured electrical parameters that are indicative of the physical arrangements of electrodes of known types of electrode leads are utilized to determine the types of leads that are connected to the implantable medical device.
ECAP SENSING FOR HIGH FREQUENCY NEUROSTIMULATION
Techniques are disclosed for implementing the use of electrically evoked compound action potentials (ECAPs) to adaptively adjust parameters of high frequency electrical stimulation. In one example, a medical device delivers electrical stimulation therapy comprising a train of electrical stimulation pulses to a patient, wherein the train of electrical stimulation pulses comprises a pulse frequency greater than or equal to 500 Hertz. After delivering the train of electrical stimulation pulses, the medical device ceases delivery of the high frequency electrical stimulation therapy for a predetermined period of time. During the predetermined period of time, the medical device senses an ECAP from the patient and determines, based on the sensed ECAP, a value of a parameter at least partially defining the train of electrical stimulation pulses. Responsive to the predetermined period of time elapsing, the medical device resumes delivery of the high frequency electrical stimulation according to the determined parameter.
Method for neuromodulation treatment of neurodegenerative disease
The present disclosure provides a neuromodulation method for treating neurodegenerative disease. The neuromodulation method comprises attaching a first active electrode to a patient's leg in the back of the knee area in an expected location of a peroneal nerve of the first leg and attaching a grounding electrode to the patient's body. Generating electrical pulses by a pulse generator connected to the first active electrode and the grounding electrode. Stimulating by the first active electrodes the peroneal nerve of the first leg and controlling via a control unit a flow of the generated pulses to the first electrode.
PRESENTATION OF ELECTROSTIMULATION AND CLINICAL RESPONSE DATA
Systems and methods for presenting electrostimulation data and patient clinical responses to electrostimulation are disclosed. A system comprises an implantable stimulator, and a programming device including a controller to identify first and second sets of base stimulation settings each comprising an electrode configuration and stimulation parameter values selected from a configuration and parameter search space. The controller can detect clinical effects and evaluate a clinical response indicator in response to electrostimulation for each base stimulation setting of the first set, and predict clinical effects and estimate a clinical response indicator without delivering electrostimulation for each base stimulation setting of the second set. Based on the clinical response indicators, the controller can determine characteristic stimulation amplitudes for one or more electrode configurations. A formatted monopolar review report comprising the characteristic stimulation amplitudes can be displayed to the user.
SYSTEMS AND METHODS FOR PROVIDING DIGITAL HEALTH SERVICES
The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.
SYSTEM AND METHODS TO DELIVER NOISE STIMULATION WAVEFORM
In some embodiments, a method of providing a neurostimulation therapy to a patient, comprises: generating a noise pulse pattern defining a pulse train of pulses to be generated according to a noise profile in an external device; communicated the generated noise pulse pattern to an implantable pulse generator (IPG) of a patient; generating, by the IPG, a series of pulses in sequence for noise stimulation of the patient using the noise pulse pattern from the external device, wherein the IPG applies one or more randomization operations to the pulse pattern from the external device without expanding memory storage for the pulse pattern while maintaining the noise profile of the pulse pattern from the external device; and applying the series of pulses in sequence to neural tissue of the patient using one or more electrodes of one or more stimulation leads.
Neuronal signal system for behavior modification
Systems and methods for stimulating the sensory cortex of an individual by obtaining a neuronal stimulation signal adapted to provide a movement cue for the individual and transmitting the neuronal stimulation signal to an electric contact of a neuronal stimulation electrode that is already implanted into the brain of the individual for a purpose different from providing the movement cue. Proprioceptive information is communicated to the individual by obtaining information about the body posture of the individual and applying a neuronal stimulation signal to an afferent axon targeting a sensory neuron in the cortex of the individual. The neuronal stimulation signal is determined based on the obtained body posture information and corresponds to the proprioceptive information. A first neuronal stimulation signal providing the movement cue and a second neuronal stimulation signal providing the proprioceptive information may be applied together to the cortex of the individual.
Neurosleeve for closed loop EMG-FES based control of pathological tremors
A tremor suppression device includes a garment wearable on an anatomical region and including electrodes contacting the anatomical region when the garment is worn on the anatomical region, and an electronic controller configured to: detect electromyography (EMG) signals as a function of anatomical location and time using the electrodes; identify tremors as a function of anatomical location and time based on the EMG signals; and apply neuromuscular electrical stimulation (NMES) at one or more anatomical locations as a function of time using the electrodes to suppress the identified tremors.