This document discusses, among other things, systems and methods to receive cardiac electrical information and premature ventricular contraction (PVC) information of a subject, detect atrial fibrillation (AF) of the subject using the received cardiac electrical information, and adjust AF detection using the received PVC information.

Systems and methods involving implants positioned within implant pockets through minimally invasive entrance incisions, along with related neurostimulatory implants. In some implementations, implants may be folded, rolled, or otherwise compressed to fit within subcutaneous implant pockets, after which they may be decompressed to fit within an implant pocket having one or more dimensions substantially larger than the entrance incision. Such implants may be used for a variety of purposes, including generating electrical energy for various other implants, including neurostimulatory implants located throughout the body.

Systems and methods of controlling a device using detected changes in a neural-related signal of a subject are disclosed. In one embodiment, a method of controlling a device or software application comprises detecting a first change in a neural-related signal of a subject, detecting a second change in the neural-related signal, and transmitting an input command to the device upon or following the detection of the second change in the neural-related signal. The neural-related signal can be detected using a neural interface implanted within a brain of the subject.

A medical lead with at least a distal portion thereof implantable in the brain of a patient is described, together with methods and systems for using the lead. The lead is provided with at least two sensing modalities (e.g., two or more sensing modalities for measurements of field potential measurements, neuronal single unit activity, neuronal multi unit activity, optical blood volume, optical blood oxygenation, voltammetry and rheoencephalography). Acquisition of measurements and the lead components and other components for accomplishing a measurement in each modality are also described as are various applications for the multimodal brain sensing lead.

Systems and methods for providing sensitive and specific alarms indicative of glycemic condition are provided herein. In an embodiment, a method of processing sensor data by a continuous analyte sensor includes: evaluating sensor data using a first function to determine whether a real time glucose value meets a first threshold; evaluating sensor data using a second function to determine whether a predicted glucose value meets a second threshold; activating a hypoglycemic indicator if either the first threshold is met or if the second threshold is predicted to be met; and providing an output based on the activated hypoglycemic indicator.

A stent device including a stent coated with a photosensitizer, the stent including a pair of electrodes; and a circuit fixed to the stent, the circuit including a light emitting diode, a power receiving means for wirelessly receiving power from the outside, and converting the power to electric power; a second communicating means for receiving a control command from the outside; and a second control means for applying, based on the control command, the electric power to the electrodes causing an electric current to flow through the stent between the electrodes, the flow causing heating of the stent, and for controlling a temperature of the stent to provide hyperthermia therapy to a tumor, the second control means further for applying, based on the control command, the electric power to the light emitting diode to emit a predetermined wavelength of light to the photosensitizer to provide photodynamic therapy to the tumor.

An analyte sensor system is provided. The system includes a base configured to attach to a skin of a host. The base includes an analyte sensor configured to generate a sensor signal indicative of an analyte concentration level of the host, a battery, and a first plurality of contacts. The system includes a sensor electronics module configured to releasably couple to the base. The sensor electronics module includes a second plurality of contacts, each configured to make electrical contact with a respective one of the first plurality of contacts, and a wireless transceiver configured to transmit a wireless signal based at least in part on the sensor signal. The system includes a first sealing member configured to provide a seal around the first and second plurality of contacts within a first cavity. Related analyte sensor systems, analyte sensor base assemblies and methods are also provided.

Techniques are disclosed for using feature delineation to reduce the impact of machine learning cardiac arrhythmia detection on power consumption of medical devices. In one example, a medical device performs feature-based delineation of cardiac electrogram data sensed from a patient to obtain cardiac features indicative of an episode of arrhythmia in the patient. The medical device determines whether the cardiac features satisfy threshold criteria for application of a machine learning model for verifying the feature-based delineation of the cardiac electrogram data. In response to determining that the cardiac features satisfy the threshold criteria, the medical device applies the machine learning model to the sensed cardiac electrogram data to verify that the episode of arrhythmia has occurred or determine a classification of the episode of arrhythmia.

A medical treatment system for determining administration of medications to a patient is disclosed. The system uses a plurality of sensors to perform a first set of physiologic measurements in a right side of the heart and a second set of physiologic measurements in a left side of the heart. The system also includes a receiver configured to receive measurement data regarding the first and second sets of physiologic measurements and output to a display device the received measurement data.

Systems and methods for control and signal processing in variable inductance, resonant circuit monitoring devices are disclosed, including improved techniques for energizing the sensor resonant circuit using excitation signal frequency sweeps, techniques for validating sensor readings and characterizing sensor frequency outputs to measured physical parameters and improved techniques for isolating background electromagnetic noise and distinguishing knows from sensor measurement signals.