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: 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: 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: 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: This document discusses, among other things, systems and methods for managing pain of a subject. A system may include one or more sensors configured to sense a signal indicative of muscle electrical or mechanical activity at a specific body location. The muscle electrical or mechanical activity signal may include an electromyography or a mechanical contraction signal. A pain analyzer circuit may extract from the sensed signal one or more signal metrics indicative of muscle tension, and generate a pain score using the signal metrics. The pain score may be output to a user or a process. The system may 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: An example of a system for providing a patient with pain management includes a pain monitoring circuit. The pain monitoring circuit may include parameter analyzer circuitry and pain score generator circuitry. The parameter analyzer circuitry may be configured to receive and analyze one or more timing parameters and one or more baroreflex parameters allowing for determination of baroreflex sensitivity (BRS) of the patient. The one or more timing parameters are indicative of time intervals during which values of the one or more baroreflex parameters are used to determine the BRS. The pain score generator circuitry may be configured to compute a pain score using an outcome of the analysis. The pain score is a function of the BRS during the time intervals and indicative of a degree of pain of the patient.

Abstract: This document discusses, among other things, systems and methods for managing pain of a subject. A system may include a motion sensor configured to sense at least one functional signal indicative a physical state of the subject. The at least one functional signal may include at least one motor activity signal or at least one sleep state signal. A pain analyzer circuit may extract, from the functional signal, signal metrics indicative of subject motor control or kinetics, and generate a pain score using the signal metrics. The pain score may be output to a user or a process. The system may additionally include an electrostimulator to generate and deliver a closed-loop pain therapy according to the pain score.

Abstract: A system may include an input device configured to receive a signal indicative of elevated glucose in a patient, and an electrical stimulator configured to electrically stimulate at least one skeletal muscle. The system may further include a controller operably connected to the electrical stimulator. The controller may be configured for delivering a glucose therapy in response to the signal by controlling the electrical stimulator. The system may be configured to deliver the therapy in combination with other glucose therapies, and the therapy may be titrated based on a sensed parameter or patient feedback.

Abstract: Systems and methods for managing pain in patient are described. A system may include sensors configured to sense physiological or functional signals, and a pain analyzer to generate signal metrics from the physiological or functional signals. The pain analyzer also generates weight factors corresponding to the signal metrics. The weight factors may indicate the signal metrics reliability in representing an intensity of the pain. The pain analyzer generates a pain score using a plurality of signal metrics and a plurality of weight factors. The pain score may be output to a user or a process. The system may additionally include an electrostimulator to generate and deliver closed-loop pain therapy according to 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: An example of a system for providing a patient with pain management includes a pain monitoring circuit. The pain monitoring circuit may include parameter analyzer circuitry and pain score generator circuitry. The parameter analyzer circuitry may be configured to receive and analyze one or more timing parameters and one or more baroreflex parameters allowing for determination of baroreflex sensitivity (BRS) of the patient. The one or more timing parameters are indicative of time intervals during which values of the one or more baroreflex parameters are used to determine the BRS. The pain score generator circuitry may be configured to compute a pain score using an outcome of the analysis. The pain score is a function of the BRS during the time intervals and indicative of a degree of pain of the patient.

Abstract: This document discusses, among other things, systems and methods for managing pain of a subject. A system may include a motion sensor configured to sense at least one functional signal indicative a physical state of the subject. The at least one functional signal may include at least one motor activity signal or at least one sleep state signal. A pain analyzer circuit may extract, from the functional signal, signal metrics indicative of subject motor control or kinetics, and generate a pain score using the signal metrics. The pain score may be output to a user or a process. The system may additionally include an electrostimulator to generate and deliver a closed-loop pain therapy according to the pain score.

Abstract: This document discusses, among other things, systems and methods for managing pain of a subject. A system may include a sensor circuit configured to sense a respiration signal and a heart rate signal. A pain analyzer circuit may determine respiratory cycles and respiratory phases in a respiratory cycle, and generate one or more signal metrics indicative of respiration-mediated heart rate variation. The pain analyzer may generate a pain score using the signal metrics indicative of respiration-mediated heart rate variation. The pain score may be output to a user or a process. The system may include an electrostimulator to generate and deliver closed-loop pain therapy according to the pain score.

Abstract: An example of a system for modulating blood pressure may include a blood pressure monitoring circuit, a blood pressure modulation device, and a control circuit. The blood pressure monitoring circuit may be configured to sense signals and generate one or more blood pressure parameters indicative of the blood pressure and/or a vascular resistance and one or more activity parameters indicative of an activity level and/or a postural change using the sensed signals. The blood pressure modulation device may be configured to deliver a therapy modulating the blood pressure. The control circuit may be configured to control the therapy using therapy parameters, receive the one or more blood pressure parameters and the one or more activity parameters, analyze changes in the one or more blood pressure parameters that are correlated to changes in the one or more activity parameters, and adjust the therapy parameters using an outcome of the analysis.

Abstract: An example of a system for monitoring and treating respiratory distress in a patient may include signal inputs, a signal processing circuit, and a respiratory distress analyzer. The signal inputs may be configured to receive patient condition signals indicative of autonomic balance of the patient. The signal processing circuit may be configured to process the patient condition signals and to generate patient condition parameters indicative of the autonomic balance using the processed patient condition signals. The respiratory distress analyzer may be configured to determine a state of the respiratory distress using the patient condition parameters, and may include a parameter analysis circuit configured to analyze the autonomic balance of the patient and to determine the state of the respiratory distress using an outcome of the analysis.

Abstract: An example of a system for monitoring and treating respiratory distress in a patient may include one or more non-invasive monitoring devices to acquire patient condition signals and a respiratory distress monitoring circuit to monitor a state of the respiratory distress using the patient condition signals. The respiratory distress monitoring circuit may include a signal processing circuit to generate patient condition parameters using the patient condition signals and a respiratory distress analyzer, which may include a parameter analysis circuit and a notification circuit. The parameter analysis circuit may be configured to produce a patient condition metric being a function of the patient condition parameters and to perform prediction and/or detection of an exacerbation of the respiratory distress based on the patient condition metric. The notification circuit may be configured to produce an alert notifying a result of the performance of the prediction and/or detection.

Abstract: An example of a system for monitoring and treating a medical condition of a patient may include signal inputs to receive patient condition signals indicative of a state of inflammatory bowel disease (IBD), a signal processing circuit configured to process the patient condition signals and generate patient condition parameters indicative of the state of IBD using the processed patient condition signals, and a medical condition analyzer configured to analyze the patient condition parameters and determine the medical condition including the state of IBD using an outcome of the analysis. The patient condition parameters may include one or more physiological marker parameters each representative of a physiological marker of IBD and one or more quality of life parameters each being measure of quality of life of the patient.

Abstract: A system may include a controller operably connected to a diabetic therapy delivery system. The controller may be configured to: receive therapy inputs including a therapy input indicative of a glucose measure; determine a therapy input index using the at least one therapy input including the therapy input indicative of a glucose measure; map the determined therapy input index to a graded glucose control; and set the graded glucose control based on the mapped graded glucose control for the determined therapy input index, wherein the graded glucose control includes at least one of a neuromodulation target, a neuromodulation type, or at least one neuromodulation parameter value. The diabetic therapy delivery system may be configured to deliver the therapy for graded glucose control using the graded glucose control that was set based on the mapped graded glucose control.

Abstract: A system may include an implantable structure with a plurality of electrodes attached thereto, where the implantable structure is configured to be implanted proximate to a nerve that innervates and is proximate to an organ involved with glucose control. The system may further include a controller configured for use to control which of the plurality of electrodes are modulation electrodes and which of the plurality of electrodes are sense electrodes, a modulation energy generator configured to deliver modulation energy using one or more of the modulation electrodes, and a nerve traffic sensor configured to sense nerve traffic in the nerve using one or more of the sense electrodes. The controller may be configured to determine if the delivered modulation energy captures the nerves based on the sensed neural activity.