Abstract: Systems, devices, and methods for providing customizable interactive healthcare services in relation to neuromodulation treatment are disclosed. A digital health system includes a memory device that stores a database of device operation and treatment (DOT) information of neuromodulation device. The DOT information includes information releasable to a patient and device programming capability authorized to the patient, and can be categorized according to a plurality of pre-determined treatment phases and/or according to a plurality of pre-determined patient skill or engagement levels with the neuromodulation device. A processor determines a treatment phase and a skill or engagement level using patient state information, queries the database to determine personalized DOT information corresponding to the treatment phase and the patient skill or engagement level, and provides the personalized DOT information to the patient.

Abstract: Systems, devices, and methods are disclosed for computer-assisted goal setting and tracking with respect to neuromodulation device treatment. A digital health system includes a user-interface device to receive a user input about a personalized objective of neuromodulation treatment or an intended manner of using the neuromodulation device by the patient. The user input can be in forms of text, voice, or other unstructured or unclassified data formats. A controller circuit can process the user input using analytical methods including natural language processing to generate a personalized treatment and device usage goal, and track the progress toward the personalized treatment and device usage goal using patient state information. The tracked progress may be presented to the patient, or be used to initiate or adjust a neuromodulation therapy.

Abstract: A medical system may include a patient system configured for use to determine health-related information for a patient, and deliver a neuromodulation therapy. The patient system may include a patient device having a user interface, storage for storing patient assistance data for each of a plurality of issues that may adversely affect patient satisfaction with the patient system, and a satisfaction monitor configured to determine, from the health-related information, that at least one of the plurality of issues may be adversely affecting the patient satisfaction, and send the patient assistance data, that corresponds to the at least one of the plurality of issues, to the user interface.

Abstract: A medical system may include a patient system configured to determine a condition of a patient and deliver a neuromodulation therapy. The patient system may include a patient device having a user interface configured to enable patient interaction by the patient with the patient system. The patient system may include a triage system configured to select a triage tier from two or more triage tiers available for selection and indicative of a priority ranking for patient intervention. The triage system may be configured to use both the interaction and the condition to select the triage tier.

Abstract: This document discusses, among other things, systems and methods for managing pain of a subject. A system includes a first sensor circuit to sense a first signal indicative of a functional state of the subject, a second sensor circuit to sense a second signal different from the first signal, and a controller circuit. The controller circuit may determine an operating mode of the second sensor circuit according to the sensed first signal, trigger the second senor circuit to sense the second signal under the determined operating mode, and generate a pain score using at least the second signal sensed under the determined operating mode. The pain score may be output to a patient or used for closed-loop control of a pain therapy.

Abstract: This document discusses systems, devices, and methods for monitoring and managing patients with chronic pain. A patient monitoring system comprises a sensor circuit to sense a physiological or functional signal indicative of or correlated to patient mobility, an electrostimulator to generate and deliver neuromodulation therapy to the patient, and a controller circuit to generate a mobility metric using the sensed physiological or functional signal. The mobility metric represents respective times spent in different activity intensity levels associated with one or more types of activities during a specific time period. The controller circuit can trend the mobility metric over time and determine a progress toward a personalized mobility goal of the patient, and control the electrostimulator to initiate or adjust the neuromodulation therapy in accordance with the trended mobility metric or the determined progress toward the mobility goal.

Abstract: Embodiments herein relate to medical devices and methods for using the same to treat cancerous tumors within a bodily tissue. A medical device system herein can include an electric field generating circuit configured to generate one or more electric fields, and control circuitry. The system can include one or more electrodes disposed on a first stimulation lead to deliver the electric fields to a site of a cancerous tumor within a patient and one or more electrodes disposed on a second stimulation lead to deliver the electric fields to the site of a cancerous tumor within a patient. The first and second stimulation leads can be configured to be implanted on or about a duodenum. The electric field generating circuit can generate electric fields at frequencies selected from a range of between 10 kHz to 1 MHz. Other embodiments are also included herein.

Abstract: This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.

Abstract: A fluid directing device may include a catheter and a skirt. The catheter may define a lumen and may have a distal end and a proximal end. The skirt may be attached to a distal region of the catheter and may encircle the catheter. The skirt may have a proximal end attached to the catheter, and a free distal end, the skirt having a sidewall extending between the proximal and distal ends thereof, the skirt configured to move between a collapsed state and an expanded state in which the sidewall extends radially away from the catheter, the sidewall defining an interior chamber in the expanded state, wherein the skirt is configured to prevent contrast media that exits the catheter lumen from passing through the sidewall.

Abstract: An example of a system for managing pain may include a pain monitoring circuit, a pain relief device, and a control circuit. The pain monitoring circuit may include a parameter analyzer and a pain score generator. The parameter analyzer may be configured to receive and analyze at least two parameters selected from a physiological parameter indicative of a physiological function or state of a patient, a functional parameter indicative of a physical activity or state of the patient, or a patient parameter including subjective information provided by the patient. The pain score generator may be configured to compute a composite pain score using an outcome of the analysis. The composite pain score may indicate a degree of the pain. The pain relief device may be configured to deliver a pain-relief therapy. The control circuit may be configured to control the delivery of the pain-relief therapy using the composite pain score.

Abstract: An Example of a system for providing a patient with pain management may include a sleep monitoring circuit, a pain relief device, and a control circuit. The sleep monitoring circuit may be configured to sense one or more sleep signals from the patient and to determine a sleep state of the patient using the one or more sleep signals. The one or more sleep signals may include one or more physiological signals corresponding to the sleep state of the patient. The pain relief device may be configured to deliver one or more pain relief therapies. The control circuit may be configured to control the delivery of the one or more pain relief therapies using therapy parameters and to adjust the therapy parameters based on the determined sleep state.

Abstract: Systems and techniques are disclosed to evaluate a neurostimulation treatment provided from a neurostimulation device, based on freeform text analysis. In an example, a system or device to evaluate a neurostimulation treatment provided from a neurostimulation device is configured to perform operations that: obtain text content, originating from text or voice input of a human patient, which relates to a state of a human patient; identify a state of the human patient from natural language processing of the text content; obtain device data from the neurostimulation device; identify a state of the neurostimulation treatment of the human patient from the device data; associate the identified state of the human patient to the identified state of the neurostimulation treatment; and initiate an action for the neurostimulation treatment, based on the identified state of the human patient that is associated with the identified state of the neurostimulation treatment.

Abstract: This document discusses a computer-implemented method of machine recognition of a physiological condition of a subject. The computer-implemented method comprises obtaining a video stream of the subject using a video data source; identifying, using processing circuitry, one or more areas within image frames of the video stream that contain a physiological feature of the subject; analyzing video data of the identified one or more areas in the image frames using the processing circuitry to detect change of the physiological feature between a first frame of video data and a later frame of video data; determining one or more change parameters of the physiological feature from the video data; and generating an indication of a symptom of Parkinson's Disease according to a detection criterion applied to the one or more change parameters.

Abstract: This document discusses, among other things, systems and methods for managing pain in a subject. A system may include one or more sensors configured to sense from the subject information corresponding to emotional reaction to pain, such as emotional expression. The emotional expression includes facial or vocal expression. A pain analyzer circuit may generate a pain score using signal metrics of facial or vocal expression extracted from the sensed information. The pain score may be output to a user or a process. The system may additionally include a neurostimulator that can adaptively control the delivery of pain therapy by automatically adjusting stimulation parameters based on the pain score.

Abstract: This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.

Abstract: A system may include at least one data collection platform and an event detector configured to detect an event. The at least one data collection platform may be configured for use to collect healthcare-related data at a defined data resolution for transfer to a data receiving system that may include one or more processors, at least one data input for receiving healthcare-related data, and memory for storing instructions for implementation by the one or more processors to collect healthcare-related data via the at least one data input. The at least one data collection platform may be configured to change the data resolution for collecting healthcare-related data in response to the detected event.

Abstract: This document discusses, among other things, systems and methods for managing pain in a subject. A system may include one or more sensors configured to sense from the subject information corresponding to emotional reaction to pain, such as emotional expression. The emotional expression includes facial or vocal expression. A pain analyzer circuit may generate a pain score using signal metrics of facial or vocal expression extracted from the sensed information. The pain score may be output to a user or a process. The system may additionally include a neurostimulator that can adaptively control the delivery of pain therapy by automatically adjusting stimulation parameters based on the pain score.

Abstract: This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.

Abstract: Systems, devices, and methods for remote monitoring and managing of patients with chronic pain are discussed. A remote monitoring system comprises one or more sensors to sense physiological or functional information from the patient, a cloud-computing device communicatively coupled to the one or more sensors, and a remote device. The cloud-computing device receives patient data including physiological or functional information, and provides on-demand cloud-based services including storing the received patient data in a cloud storage, detecting a patient behavior, and generating a sensor operation recommendation based on the detected patient behavior. The remote device can access the cloud storage and the cloud-based services, and adjust operations of the one or more sensors in accordance with the sensor operation recommendation.

Abstract: Systems, devices, and methods for remote monitoring and managing of patients with chronic pain are discussed. A remote monitoring system comprises a cloud-computing device and a remote device. The cloud-computing device receives patient data including physiological or functional information sensed by sensors, and provides on-demand cloud-based services including establishing a correspondence between one or more physiological or functional states and one or more pain levels, detecting patient physiological or functional state, predicting a pain level, detecting a patient behavior, generating a recommendation for adjusting sensor operations based on the patient behavior, and storing patient data and other information in a cloud storage. The remote device can access the cloud storage and the cloud-based services, provide the stored information to an authorized user or the patient, control an implantable device to initiate or adjust a neuromodulation therapy, or adjust sensor operations.