Abstract: A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

Abstract: A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

Abstract: Embodiments of the present disclosure relate to heart sound measurements using mobile devices. In an embodiment, a medical system for monitoring heart sounds of a subject comprises a medical device configured to obtain, during a first sampling interval, a first physiological signal. The medical system further comprises a mobile device comprising an accelerator, wherein the accelerator is configured to obtain, during a second sampling interval, a second physiological signal. And, the medical system comprises an analysis component configured to extract heart sounds data from the second physiological signal.

Abstract: Methods and computer-readable media with instructions for scaling physiological signals measured from different locations to predict a physiological event, modify a therapy, and/or send an alert. In embodiments, the physiological signals comprise heart sound data measured by different devices such as implantable medical devices and/or mobile phones with acceleration sensors.

Abstract: A navigation-assisting flexible elongate member, a navigation-assisting system, and a navigation-assisting method for use in navigating within a body to a treatment site. A navigation-assisting sensor, such as an optic fiber, an inductive sensor, a piezoelectric sensor, or a camera, is provided within the wall of the flexible elongate member, so as not to occupy space within a working channel defined by and through the flexible elongate member. When the distal end of the flexible elongate encounters an obstacle/another object (e.g., body tissue or a lumen wall), the navigation-assisting sensor generates a signal indicative of such encounter. Such signal is converted into information (such as by a control unit) usable to navigate the flexible elongate member away from the obstacle and on course to the treatment site.

Abstract: A system includes a sensor configured to sense first and second physiological signals produced by a source; and a processing device communicatively coupled to the sensor. The processing device is configured to: receive the first and second physiological signals; determine a first value of a signal characteristic; determine a second value of the signal characteristic; access a scaling map having scaling vectors, and each scaling vector having at least one signal characteristic correction value; determine a scaled first value and a scaled second value based on a first scaling vector and a second scaling vector, respectively; and predict a physiological event based on the scaled first value of the signal characteristic and the scaled second value of the signal characteristic.

Abstract: A system and method for compensating for electromagnetic (EM) distortion fields caused by one or more distortion objects is provided. A system and method for compensating for electromagnetic (EM) distortion fields caused by one or more distortion objects is provided. For example, an EM compensation device receives a plurality of EM field calibration measurements. The EM compensation device trains a machine learning dataset to compensate for the EM distortion fields from the one or more distortion objects using the plurality of EM field calibration measurements and/or an EM field model. The EM compensation device receives one or more EM field procedure measurements from a medical device performing a medical procedure. The EM compensation device predicts a spatial location of the medical device based on the EM field procedure measurement and the machine learning dataset.

Abstract: Embodiments of the present disclosure relate to systems and methods for determining the size of a medical device to implant in a patient using deep learning techniques. In at least one embodiment, a method comprises receiving a plurality of images, each of the plurality of images including a representation of a portion of a patient's anatomy in which the medical device is to be implanted. The method further comprises extracting a centerline of the representation of the patient's anatomy from the plurality of images and extracting planes orthogonal to the centerline. In addition, the method comprises identifying, using a segmentation model that segments the extracted planes, an implantation site. And, the method comprises determining, using a medical device size classification model that classifies the implantation site, a size of the medical device to be implanted at the implantation site.

Abstract: Embodiments of the present disclosure relate to heart sound measurements using mobile devices. In an embodiment, a medical system for monitoring heart sounds of a subject comprises a medical device configured to obtain, during a first sampling interval, a first physiological signal. The medical system further comprises a mobile device comprising an accelerator, wherein the accelerator is configured to obtain, during a second sampling interval, a second physiological signal. And, the medical system comprises an analysis component configured to extract heart sounds data from the second physiological signal.

Abstract: Embodiments for determining the cardiac health of a subject using voice analysis are disclosed. In an embodiment, a method comprises receiving a voice sample from the subject. The method further comprises determining one or more characteristics of the voice sample. And, the method further comprises determining the subject's cardiac health based on the one or more characteristics.

Abstract: A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

Abstract: Devices, systems, and methods for regulating glucose levels, including treating diabetes, in accordance with the present disclosure may include a catheter having an expandable or inflatable portion, one or more electrodes disposed on the expandable or inflatable portion of the catheter, wherein the electrodes are configured to deliver energy to a patient's gastrointestinal tract, and a drug delivery mechanism for delivering a drug therapy subsequent to energy delivery by the electrodes. A method for regulating glucose levels according to the present disclosure may include inserting a catheter into a patient's gastrointestinal tract, positioning the catheter in a duodenum of the patient's gastrointestinal tract, expanding or inflating a portion of the catheter in the duodenum, the expandable or inflatable portion of the catheter including electrodes, applying energy to the duodenum via the electrodes to ablate tissue of the duodenum, and delivering a drug therapy to the ablated tissue of the duodenum.

Abstract: A system includes a sensor configured to sense first and second physiological signals produced by a source; and a processing device communicatively coupled to the sensor. The processing device is configured to: receive the first and second physiological signals; determine a first value of a signal characteristic; determine a second value of the signal characteristic; access a scaling map having scaling vectors, and each scaling vector having at least one signal characteristic correction value; determine a scaled first value and a scaled second value based on a first scaling vector and a second scaling vector, respectively; and predict a physiological event based on the scaled first value of the signal characteristic and the scaled second value of the signal characteristic.

Abstract: The present disclosure relates generally to systems and methods for detecting and monitoring the exercise pressor reflex. In some embodiments, a medical system includes a first sensor connected to a user, wherein the first sensor detects an exertion metric of the user, and a second sensor connected to the user, wherein the second sensor detects a blood pressure metric of the user. The medical system may further include a processing component in communication with the first and second sensors, wherein the processing component is capable of processing the exertion metric and the blood pressure metric to determine an elevated blood pressure metric of the user based on a comparison between a baseline blood pressure metric and the detected blood pressure metric. The processing component may further determine an exercise pressor reflex (EPR) metric based on a comparison between the elevated blood pressure metric and the exertion metric.