Abstract: A system comprises a sensor device and processing circuitry. The sensor device comprises a housing configured to be disposed above shoulders of a patient, a plurality of electrodes on the housing, a motion sensor, and sensing circuitry configured to sense a brain electrical signal and a cardiac electrical signal via the electrodes, and a motion signal via the motion sensor. The processing circuitry is configured to determine values over time of one or more parameters from the brain electrical signal, determine values over time of one or more parameters from the cardiac electrical signal, and generate at least one of a detection, prediction, or a classification a condition of the patient based on the values and the motion signal.

Abstract: An embodiment of a sensor device includes a base substrate, a circuit pattern formed overlying the interior surface of the substrate, a physiological characteristic sensor element on the exterior surface of the substrate, conductive plug elements located in vias formed through the substrate, each conductive plug element having one end coupled to a sensor electrode, and having another end coupled to the circuit pattern, a multilayer component stack carried on the substrate and connected to the circuit pattern, the stack including features and components to provide processing and wireless communication functionality for sensor data obtained in association with operation of the sensor device, and an enclosure structure coupled to the substrate to enclose the interior surface of the substrate, the circuit pattern, and the stack.

Abstract: A medical system includes a therapeutic fluid supply containing a therapeutic drug and a medical device in fluid communication with the therapeutic fluid supply. The medical device includes an expandable element and an injection tube coupled to the expandable element. The injection tube defines a port. The injection tube is in communication with the therapeutic fluid supply and configured to deliver the therapeutic drug through the port.

Abstract: An example system includes a memory; a plurality of electrodes; sensing circuitry configured to: sense, via at least two electrodes of the plurality of electrodes, electrical signals from a patient; and generate, based on the electrical signals, one or more electroencephalography (EEG) signals; and processing circuitry configured to: receive, from the sensing circuitry, one or more EEG signals; and apply the one or more EEG signals to a machine learning (ML) model to determine one or more characteristics of a brain event, the ML model being trained on training EEG data and simulated EEG data.

Abstract: A nerve integrity monitoring device includes a control module and a physical layer module. The control module is configured to generate a payload request. The payload request (i) requests a data payload from a sensor in a wireless nerve integrity monitoring network, and (ii) indicates whether a stimulation probe device is to generate a stimulation pulse. The physical layer module is configured to (i) wirelessly transmit the payload request to the sensor and the stimulation probe device, or (ii) transmit the payload request to a console interface module. The physical layer module is also configured to, in response to the payload request, (i) receive the data payload from the sensor, and (ii) receive stimulation pulse information from the stimulation probe device. The data payload includes data corresponding to an evoked response of a patient. The evoked response is generated based on the stimulation pulse.

Abstract: An example system includes a memory; a plurality of electrodes; sensing circuitry configured to: generate one or more electroencephalography (EEG) signals; and processing circuitry configured to: receive, from the sensing circuitry, one or more EEG signals sensed during a first period of time; generate, based on the one or more EEG signals sensed during the first period of time, a personalized baseline stroke score; receive, from the sensing circuitry, one or more EEG signals sensed during a second period of time; determine, based on the one or more EEG signals sensed during the second period of time, a second stroke score, the second period of time being after the first period of time; generate a stroke metric indicative of a stroke status of the patient based on a comparison of the personalized baseline stroke score to the second stroke score; and store the stroke metric in the memory.

Abstract: A biocompatible medical device may include an electrochemical sensor including a common reference electrode; at least one counter electrode; and a work electrode platform comprising a plurality of respective work electrodes, each respective work electrode electrically coupled to the common reference electrode and comprising a respective reagent substrate configured to react with a respective analyte to produce a respective signal indicative of a concentration of the respective analyte; and processing circuitry operatively coupled to the electrochemical sensor, and configured to receive from the electrochemical sensor a plurality of signals from the plurality of respective work electrodes; identify the respective signal corresponding to a respective selected work electrode; and process the identified signal to determine the concentration of the respective analyte associated with the respective selected work electrode.

Abstract: Techniques are disclosed for measuring an analyte in a biological system. A system may include a medical device with an electrochemical sensor configured to sense the concentration of a plurality of analytes present in a biological system. Processing circuitry of the system may retrieve, identify, and process a respective signal from a respective work electrode to determine the concentration of a respective analyte. The system may further include an implantable medical device configured to sense a cardiac electrogram (EGM). In some examples, the system may be configured to determine one or more patient-specific relationships between the respective signals of the electrochemical sensor and the cardiac EGM during a first period of time. Based on the patient-specific relationships, the system may estimate concentrations of the one or more analytes corresponding to the respective signals based on the cardiac EGM of the patient collected over a second period of time.

Abstract: An example system includes a first lead configured to be positioned in or beside a left internal jugular vein (IJV) of a patient to deliver a first stimulation signal to a first vagus nerve, the first lead including one or more first segmented electrodes positioned on a distal portion of the first lead and a first anchoring mechanism; a second lead configured to be positioned in or beside a right IJV of the patient to deliver a second stimulation signal to a second vagus nerve, the second lead including one or more second segmented electrodes positioned on a distal portion of the second lead and a second anchoring mechanism; and circuitry configured to deliver electrical energy to the first lead to deliver the first stimulation signal and the second lead to deliver the second stimulation signal to provide bilateral stimulation to the first vagus nerve and the second vagus nerve.

Abstract: A sensor including electrodes, a control module and a physical layer module. The electrodes are configured to (i) attach to a patient, and (ii) receive a first electromyographic signal from the patient. The control module is connected to the electrodes. The control module is configured to (i) detect the first electromyographic signal, and (ii) generate a first voltage signal. The physical layer module is configured to: receive a payload request from a console interface module or a nerve integrity monitoring device; and based on the payload request, (i) upconvert the first voltage signal to a first radio frequency signal, and (ii) wirelessly transmit the first radio frequency signal from the sensor to the console interface module or the nerve integrity monitoring device.

Abstract: A method of implanting a lead includes inserting a needle through tissue near a chin of a patient and through a tongue of the patient, inserting an introducer through an opening created by the needle, and inserting the lead through the introducer, the lead comprising an elongated member and one or more electrodes in a distal portion of the elongated member such that the one or more electrodes are implantable proximate to one or more motor points of a protrusor muscle within the tongue of the patient, wherein inserting the lead comprises inserting the lead to have a shape of one of a helix, a compound helix, a wave shape, or saw-tooth shape, or to have a loop in the lead.

Abstract: An example method includes receiving one or more physiological signals; detecting an apnea event based on the one or more physiological signals; determining that the apnea event cannot be characterized as one of a normal, OSA (obstructive sleep apnea), CSA (central sleep apnea), or combination OSA/CSA event; and outputting an electrical stimulation as a default based on determining that the apnea event cannot be characterized as a normal event, an OSA event, a CSA event, or combination OSA/CSA events.

Abstract: A biocompatible medical device may include an electrochemical sensor including a common reference electrode; at least one counter electrode; and a work electrode platform comprising a plurality of respective work electrodes, each respective work electrode electrically coupled to the common reference electrode and comprising a respective reagent substrate configured to react with a respective analyte to produce a respective signal indicative of a concentration of the respective analyte; and processing circuitry operatively coupled to the electrochemical sensor, and configured to receive from the electrochemical sensor a plurality of signals from the plurality of respective work electrodes; identify the respective signal corresponding to a respective selected work electrode; and process the identified signal to determine the concentration of the respective analyte associated with the respective selected work electrode.

Abstract: A system includes a sheet flexible material having a contact surface adapted to be placed on an outer surface of a patient's body. A plurality of sensing apparatuses have respective sensing surfaces distributed across the contact surface of the sheet. One or more of the sensing apparatuses include a multimodal sensing apparatus. Each multimodal sensing apparatus includes a monolithic substrate carrying a transducer, circuitry and an electrophysiological sensor. The transducer is coupled to the circuitry and configured to at least sense acoustic energy from a transducer location of the sheet. The electrophysiological sensor is also coupled to the circuitry, and the sensor is configured to at least sense electrophysiological signals from a sensor location of the sheet, in which the sensor location has a known spatial position relative to the transducer location.

Abstract: A sensor including electrodes, a control module and a physical layer module. The electrodes are configured to (i) attach to a patient, and (ii) receive a first electromyographic signal from the patient. The control module is connected to the electrodes. The control module is configured to (i) detect the first electromyographic signal, and (ii) generate a first voltage signal. The physical layer module is configured to: receive a payload request from a console interface module or a nerve integrity monitoring device; and based on the payload request, (i) upconvert the first voltage signal to a first radio frequency signal, and (ii) wirelessly transmit the first radio frequency signal from the sensor to the console interface module or the nerve integrity monitoring device.

Abstract: Novel tools and techniques are provided for presenting patient information to a user. In some embodiments, a computer system may: receive device data associated with one or more devices configured to perform a cardiac shunting procedure to change a cardiac blood flow pattern to improve cardiac blood flow efficiency or cardiac pumping efficiency; receive one or more imaging data associated with one or more imaging devices configured to generate images of one or more internal portions of the patient; analyze the device data and the imaging data; map the device data and the imaging data to a multi-dimensional representation of the one or more internal portions of the patient; generate one or more image-based outputs based at least in part on the mapping; and present, using a user experience (“UX”) device, the generated one or more image-based outputs.

Abstract: A system for sensing one or more physiological traits and obstetric conditions, such as a fertility phase, pregnancy, labor, post-partum conditions, and other conditions related to the reproductive system of the patient. The system may use the one or more physiological traits sensed to define one or more patient attributes for the patient, such as a hormone level, heart rate, blood pressure, respiration rate, temperature, oxygen saturation level, uterine contractions, fluid level, and/or other patient attributes. The system is configured to compare the one or more patient attributes to one or more attribute signs describing a threshold for the one or more patient attributes. The system is configured to issue a communication to the patient and/or a clinician based on the comparisons. The system may be configured to assess and indicate reproductive phases for the patient over a life-cycle from the fertility phase to the post-partum phase.

Abstract: A system for sensing physiological traits of a maternal patient and a fetal patient carried by the maternal patient during a pregnancy using one or more sensors. The system may use the physiological traits sensed to define a maternal attribute for the maternal patient and a fetal attribute for the fetal patient, such as a heart rate, blood pressure, respiration rate, temperature, oxygen saturation level, or other attributes. The system is configured to compare the maternal attribute to a maternal limit describing a threshold for the maternal patient and/or compare the fetal attribute to a fetal limit describing a threshold for the fetal patient. The system is configured to issue a communication to the maternal patient and/or a clinician based on the comparisons. In examples, the system regularly communicates the maternal attribute and/or the fetal attribute to an output device of the maternal patient and/or a clinician.

Abstract: A biocompatible medical device may include an electrochemical sensor including a common reference electrode; at least one counter electrode; and a work electrode platform comprising a plurality of respective work electrodes, each respective work electrode electrically coupled to the common reference electrode and comprising a respective reagent substrate configured to react with a respective analyte to produce a respective signal indicative of a concentration of the respective analyte; and processing circuitry operatively coupled to the electrochemical sensor, and configured to receive from the electrochemical sensor a plurality of signals from the plurality of respective work electrodes; identify the respective signal corresponding to a respective selected work electrode; and process the identified signal to determine the concentration of the respective analyte associated with the respective selected work electrode.

Abstract: A nerve integrity monitoring device includes a control module and a physical layer module. The control module is configured to generate a payload request. The payload request (i) requests a data payload from a sensor in a wireless nerve integrity monitoring network, and (ii) indicates whether a stimulation probe device is to generate a stimulation pulse. The physical layer module is configured to (i) wirelessly transmit the payload request to the sensor and the stimulation probe device, or (ii) transmit the payload request to a console interface module. The physical layer module is also configured to, in response to the payload request, (i) receive the data payload from the sensor, and (ii) receive stimulation pulse information from the stimulation probe device. The data payload includes data corresponding to an evoked response of a patient. The evoked response is generated based on the stimulation pulse.