Systems and methods are disclosed in which a time series analysis algorithm is used to analyze inputs such as adjustments a patient has made to the amplitude of stimulation in an implantable stimulator system. The algorithm uses these inputs to predict how the patient would likely adjust the amplitude in the future, i.e. to predict future amplitudes for the patient as a function of time. Preferably, the algorithm determines one or more of an amplitude level, at least one seasonal variation, or at least one trend when predicting the amplitude. This predicted amplitude can then be used to automatically adjust the amplitude of the stimulation provided by the patient's stimulator. The algorithm may only use previous amplitude adjustments to predict the amplitude, other time-varying inputs, or combinations of both.

The present invention is directed to transcutaneous electrical nerve stimulation (TENS) devices which utilize novel stimulation waveforms and novel arrangements of TENS electrodes to improve the efficiency of power consumption while enhancing therapeutic effects.

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 example of a neurostimulation system may include a stimulation output circuit to deliver the neurostimulation, a sensing circuit to sense a signal indicative of a response to the neurostimulation, and a stimulation control circuit to control the delivery of the neurostimulation using stimulation parameters. The stimulation control circuit may include a response detector and a steering module. The response detector may be configured to detect signal feature(s) from the sensed signal and to determine a response parameter indicative of an intensity of the response to the neurostimulation using the detected signal feature(s). The steering module may be configured to receive user commands for moving a stimulation field and to adjust the stimulation parameters to move the stimulation field according to the user commands while maintaining a value of the response parameter between thresholds.

Systems, methods, and devices are provided herein providing electrical muscle stimulation (EMS). In some instances, an EMS device may be provided. The EMS device may be compact, light, and unobtrusive such that it can be used by a person going about his or her daily activities. In some instances, the EMS device may comprise additional sensors for increased functionality and may be capable of interacting with additional devices or platforms to provide a full-fledged EMS device capability.

An example of a neurostimulation system may include a storage device for storing data representing physiological signals and a user interface including a user input, a display screen, and a presentation control circuit. The user input may be configured to receive a selection of signal(s) from the physiological signals and a selection of viewing mode from viewing modes including a metric mode and/or a presence mode. The metric mode allows for visualization of a signal property indicated by a parameter measured from the selected signal(s). The presence mode allows for viewing presence of a feature in the selected signal(s). The presentation control circuit may be configured to allow for the selection of the signal(s) and the viewing mode, to determine a segment of each of the selected signal(s) for presentation according to the selected viewing mode, and to present the determined segment on the display screen.

Techniques are disclosed for detecting arrhythmia episodes for a patient. A medical device may receive one or more sensor values indicative of motion of a patient. The medical device may determine, based at least in part on the one or more sensor values, an activity level of the patient. The medical device may determine a heart rate threshold for triggering detection of an arrhythmia episode based at least in part on the activity level of the patient. The medical device may determine whether to trigger detection of the arrhythmia episode for the patient based at least in part on comparing a heart rate of the patient with the heart rate threshold. The medical device may, in response to triggering detection of the arrhythmia episode, collect information associated with the arrhythmia episode.

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.

A neurostimulation system is shown and described. The neurostimulation system may include a stimulation device implantable into a patient, a lead operatively coupled with the stimulation device, a first power cell providing power to the stimulation device where the first power cell is charged by an externally applied AC (High HF) magnetic field.

Methods and systems can facilitate visualizing cathodic and anodic stimulation separately via displaying and modifying graphical representations of anodic and cathodic volumes of activation. Alternately, the methods and systems may separately visualize stimulation of different neural elements, such as nerve fibers and neural cells. These methods and systems can further facilitate programming an electrical stimulation system for stimulating patient tissue.