A method for treatment of cardiac problems includes performing modulation of a cardiac rhythm of a patient by increasing a number of heart beats the patient during time interval with high pleural pressure relative to the number during low (negative) pleural pressure, wherein an amplitude of the modulation of the cardiac rhythm between these segments is determined by severity of a respiratory effort and lung congestion of the patient.

The present method and system provides a neuromodulation therapy including receiving a plurality of input data relating to a patient, the input data including brain value measurements. The method and system includes analyzing the input data in reference to reference data generated based on machine learning operations associated with existing patient data and reference database data. Based thereon, the method and system includes electronically determining, a brain malady and a severity value for the patient and electronically generating a treatment protocol for the patient, the treatment protocol includes transcranial stimulation parameters. Therein, the method and system includes applying a transcranial stimulation using the transcranial stimulation parameters based on the treatment protocol.

Systems and methods for cardiac pacing during a procedure are disclosed and may include an external pulse generator (EPG) for connecting to a lead. A remote-control module (RCM) wirelessly connected to the EPG may include user inputs to control the EPG. A central processing unit (CPU) with a memory unit for storing code and a processor for executing the code may be included where the CPU is connected to the EPG and RCM. The code may control the EPG in response to user input from the RCM. The CPU may be disposed in the EPG or the RCM, or an interface module (IM) configured to communicate between an otherwise conventional EPG and the RCM. The executable code may perform a continuity test (CT) routine, a capture check (CC) routine, rapid pacing (RP) routine, and/or a back-up pacing (BP) routine, in response to user input from the RCM.

A computer implemented system and method facilitates a cycle of generation, sharing, and refinement of volumes related to stimulation of anatomical tissue, such as brain or spinal cord stimulation. Such volumes can include target stimulation volumes, side effect volumes, and volumes of estimated activation. A computer system and method also facilitates analysis of groups of volumes, including analysis of differences and/or commonalities between different groups of volumes.

Disclosed herein are methods, systems, and devices for dynamically adjusting a user interface provided by an external unit of a hearing device. In an example method, the external unit determines whether a state of the external unit is one of (i) a coupled state when the external unit and the stimulation unit are coupled or (ii) a decoupled state when the external and the stimulation unit are decoupled. The external unit then provides one of (i) a first user interface when the determined state is the coupled state or (ii) a second user interface when the determined state is the decoupled state.

Provided is a medical apparatus for a patient comprising an external system and an implantable system. The external system can be configured to transmit one or more transmission signals, each transmission signal comprising at least power or data. The implantable system can be configured to receive the one or more transmission signals from the external system. The external system comprises a first external device comprising at least one external antenna configured to transmit a first transmission signal to the implantable system. The implantable system comprises a first implantable device comprising at least one implantable antenna configured to receive the first transmission signal from the first external device. At least one of the external antenna or implantable antenna comprises an antenna assembly comprising: at least one transmitting/receiving antenna; and at least one shielding element positioned between the at least one transmitting/receiving antenna and an interfering component.

An implantable medical device system receives a cardiac electrical signal produced by a patient's heart and comprising atrial P-waves and delivers a His bundle pacing pulse to the patient's heart via a His pacing electrode vector. The system determines a timing of a sensed atrial P-wave relative to the His bundle pacing pulse and determines a type of capture of the His bundle pacing pulse in response to the determined timing of the atrial P-wave.

A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal, or use of model reduction schemes such as independent component analysis. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. Cardiac features that are determined from the cardiac signal can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.

Techniques are disclosed for adjusting sub-perception stimulation applied to a patient by an Implantable Pulse Generator (IPG). Adjustment can occur through use of one or more modulation functions associated with a stimulation modulation algorithm that adjusts the total charge provided by the stimulation to the patient as a function of time. The modulation function and algorithm can adjust the charge either by duty cycling the stimulation, or by adjusting the sub-perception stimulation parameters, and such adjustment can occur in the IPG or an external device. The stimulation modulation algorithm may use one or more models when adjusting the stimulation parameters to keep them at optimal values for sub-perception stimulation while simultaneous adjusting the charge stimulation provided as prescribed by the modulation function.

Graphical User Interface (GUI) control of a stimulator device is disclosed. The GUI receives modeling information indicating optimal stimulation parameters for a patient based on patient testing, and may also receive an indication of a particular stimulation mode to be used for the patient which comprises a subset of those parameters. The GUI provides simple options to allow a user to navigate the optimal parameters or subsets to constrain selection to only those stimulation parameters set within the optimal parameters or subsets.