Abstract: Systems, devices, and methods for monitoring and assessing blood glucose level in a patient are discussed. An exemplary system receives physiologic information from a patient using an ambulatory medical device. The physiologic information is correlated to, and different from, a direct glucose level measurement. The system determines a glucose index indicative of an abnormal blood glucose level using the received physiologic information by the two or more physiologic sensors. The system may use the glucose index to initiate or adjust a therapy, or to trigger a glucose sensor, separate from the two or more physiologic sensors, to directly measure blood glucose concentration.

Abstract: A method includes obtaining test criteria for a monitor configured to be attached to a user; obtaining reference data; determining, based on the test criteria and the reference data, a detached state of the monitor. The determining the detached state includes performing a set of tests indicated in the test criteria. The set of tests includes a first test corresponding to a first power consumption by the monitor; and a second test different from the first test. The second test corresponds to a second power consumption by the monitor, and the second power consumption is larger than the first power consumption. The method further includes automatically modifying, in response to the determining the detached state, an operating mode of the monitor.

Abstract: Disclosed are medical devices with an acceleration sensor for generating acceleration data, at least two electrodes for generating electrocardiogram (ECG) data, a processor, and memory. The memory, which may be a non-transitory computer readable medium, contains computer-executable instructions that, when executed by the processor, causes the processor to perform the following: obtain the acceleration data and the ECG data from a first range of time and a second range of time different from the first range, generate respiration data based on the acceleration data, and determine that the medical device has flipped in orientation during the second range of time by comparing the respiration data and the ECG data of the first range of time with the respiration data and the ECG data of the second range of time.

Abstract: Disclosed are medical devices with an acceleration sensor configured to generate acceleration data, a processor, and a memory. The memory, which may be a non-transitory computer readable medium, contains computer-executable instructions that, when executed by the processor, causes the processor to perform the following: obtain the acceleration data from a first range of time and a second range of time different from the first range, generate heart sound data based on the acceleration data, and determine that the medical device has flipped in orientation during the second range of time by comparing the heart sound data obtained during the first range of time with the heart sound data obtained during the second range of time.

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 mobile device, having a processor, includes an accelerometer configured to generate acceleration data, the acceleration data including a plurality of acceleration measurements. The mobile device also includes a memory having embodied thereon computer-executable instructions that are configured to, when executed by the processor, cause the processor to: obtain the acceleration data from the accelerometer; and generate, based on the acceleration data, heart sound data, the heart sound data including data associated with one or more heart sounds.

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: 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 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: Embodiments of the present disclosure relate to imaging a body part using sounds. In embodiments, a system comprises a motion sensor and a processing device communicatively coupled to the motion sensor. The motion sensor is configured to sense an acceleration wave produced by a sound emitted by a source and generate acceleration measurements in response to sensing the acceleration wave, wherein the source is associated with the body part of a subject. The processing device is configured to receive the acceleration measurements and determine a location of the source using a location of the motion sensor and the acceleration measurements. In addition, the processing device is configured to image the body part of the subject using the determined location of the source and the acceleration measurements.

Abstract: A mobile device, having a processor, includes an accelerometer configured to generate acceleration data, the acceleration data including a plurality of acceleration measurements. The mobile device also includes a memory having embodied thereon computer-executable instructions that are configured to, when executed by the processor, cause the processor to: obtain the acceleration data from the accelerometer; and generate, based on the acceleration data, heart sound data, the heart sound data including data associated with one or more heart sounds.