Abstract: Techniques for modeling therapy fields for therapy delivered by medical devices are described. Each therapy field model is based on a set of therapy parameters and represents where therapy will propagate from the therapy system delivering therapy according to the set of therapy parameters. Therapy field models may be useful in guiding the modification of therapy parameters. As one example, a processor compares an algorithmic model of a therapy field to a reference therapy field and adjusts at least one therapy parameter based on the comparison. As another example, a processor adjusts at least one therapy parameter to increase an operating efficiency of the therapy system while substantially maintaining the modeled therapy field.

Abstract: A therapy program is modified to decompose a therapy field generated by therapy delivery by a medical device according to a therapy program into a plurality of subfields based on a comparison between an energy associated with the therapy program and a threshold value. The therapy field defined by the therapy program may be decomposed into a plurality of subfields when an electrical stimulation energy of the stimulation signal defined by the therapy program exceeds the maximum energy output of the medical device or of a channel of the medical device. Therapy subprograms may be generated for each of the therapy subfields. An energy associated with each of the therapy subfields may be less than the energy threshold value of the medical device.

Abstract: A therapy program may be modified based on information indicative of a change in a therapy field, which may represent a region of a patient's tissue to which therapy is delivered. Upon receiving information indicative of a therapy field change, an algorithmic model of a present therapy field may be generated and compared to an algorithmic model of a baseline therapy field, which indicates a therapy field that provides efficacious therapy to the patient. If a characteristic of the present therapy field differs from the baseline therapy field model, the current therapy program may be modified. In another example, upon receiving information indicative of a therapy field change, the current therapy program may be modified, and an algorithmic model of a therapy field based on the modified therapy program may be compared to a baseline therapy field model to determine whether the modified therapy program is a suitable alternative.

Abstract: Systems and methods for adjusting a therapy delivered to a patient include detecting a value of at least one sensed patient parameter and adjusting a therapy parameter value to accommodate different patient parameter values. A data structure including a plurality of patient parameter values and associated therapy parameter values may be stored within a medical device or a programming device. Upon detecting a patient parameter value, an associated therapy parameter value from the data structure may be selected. If no therapy parameter value is associated with the detected patient parameter value, an intermediate therapy parameter value may be generated by interpolating between the most recently implemented therapy parameter value and a stored therapy parameter value. In some embodiments, the rate of shifting between parameters of two stored or interpolated therapy parameter values may be based on the rate of change of the patient parameter value over time.

Abstract: The disclosure describes an absorbent pad worn by a patient that measures one or more urinary voiding parameters. One or more sensors that measure voiding parameters are integrally formed with the pad, e.g., interwoven with the absorbent pad material or positioned to form one or more sensor layers between layers of absorbent material. The sensors store measured parameters as information in a memory, e.g., as a log, locally or in a separate device. In some embodiments, the pad includes an electrical stimulator that provides stimulation therapy for urinary incontinence based on measured parameters.

Abstract: The disclosure describes an implantable stimulation system that guides programming with a therapeutic tree. All possible stimulation parameters are arranged on the therapeutic tree, with each level of the therapeutic tree containing a different stimulation parameter type. Each level includes nodes that are connected to nodes of adjacent levels. A program path is created by moving through nodes of lower levels. The stimulation parameter types are arranged so that coarse adjustments occur at higher levels of the tree and fine adjustments occur at lower levels of the tree. The nodes of the program path define the stimulation parameters of the delivered stimulation therapy. The user may provide information such as efficacy input and/or medication dosage information to the system for identifying the most efficacious program path in treating pain of the patient. Additionally or alternatively, efficacy feedback may be received from physiological parameter sensors.

Abstract: Systems and methods for adjusting a therapy delivered to a patient include detecting a value of at least one sensed patient parameter and adjusting a therapy program to accommodate different patient parameter values. A data structure including a plurality of patient parameter values and associated therapy programs may be stored within a medical device or a programming device. Upon detecting a patient parameter value, an associated therapy program from the data structure may be selected. If no therapy program is associated with the detected patient parameter value, an intermediate program that best suits the detected patient parameter value may be generated by interpolating between the most recently implemented therapy program and a stored therapy program. In some embodiments, the rate of shifting between parameters of two stored or interpolated therapy programs may be based on the rate of change of the patient parameter value over time.

Abstract: Systems and methods for adjusting a therapy delivered to a patient include detecting a value of at least one sensed patient parameter and adjusting a therapy parameter value to accommodate different patient parameter values. A data structure including a plurality of patient parameter values and associated therapy parameter values may be stored within a medical device or a programming device. Upon detecting a patient parameter value, an associated therapy parameter value from the data structure may be selected. If no therapy parameter value is associated with the detected patient parameter value, an intermediate therapy parameter value may be generated by interpolating between the most recently implemented therapy parameter value and a stored therapy parameter value. In some embodiments, the rate of shifting between parameters of two stored or interpolated therapy parameter values may be based on the rate of change of the patient parameter value over time.

Abstract: The disclosure describes an implantable stimulation system that guides programming with a therapeutic tree. All possible stimulation parameters are arranged on the therapeutic tree, with each level of the therapeutic tree containing a different stimulation parameter type. Each level includes nodes that are connected to nodes of adjacent levels. A program path is created by moving through nodes of lower levels. The stimulation parameter types are arranged so that coarse adjustments occur at higher levels of the tree and fine adjustments occur at lower levels of the tree. The nodes of the program path define the stimulation parameters of the delivered stimulation therapy. The user may provide information such as efficacy input and/or medication dosage information to the system for identifying the most efficacious program path in treating pain of the patient. Additionally or alternatively, efficacy feedback may be received from physiological parameter sensors.

Abstract: Systems and methods for adjusting a therapy delivered to a patient include detecting a value of at least one sensed patient parameter and adjusting a therapy program to accommodate different patient parameter values. A data structure including a plurality of patient parameter values and associated therapy programs may be stored within a medical device or a programming device. Upon detecting a patient parameter value, an associated therapy program from the data structure may be selected. If no therapy program is associated with the detected patient parameter value, an intermediate program that best suits the detected patient parameter value may be generated by interpolating between the most recently implemented therapy program and a stored therapy program. In some embodiments, the rate of shifting between parameters of two stored or interpolated therapy programs may be based on the rate of change of the patient parameter value over time.

Abstract: A method includes obtaining a baseline value for an indicator of infection in proximity to an implantable medical device and monitoring the indicator of infection in proximity to the device. The method further includes determining whether the monitored indicator is indicative of infection in proximity to the device. The determination as to whether the monitored indicator is indicative of infection includes comparing a value associated with the monitored indicator to the baseline value.

Abstract: Methods include determining whether an infection is in proximity to an implanted rechargeable medical device. If an infection is determined to be present, the recharge process is allowed to sufficiently heat the device to facilitate clearing of the infection. Additional methods include monitoring temperature in proximity to an implantable rechargeable device in connection with recharging the device. If the monitored temperature falls outside a desired range, one or more parameters associated with recharge energy are modified to cause the temperature to reside within the desired range. The desired temperature range, may be a range that can facilitate treatment of a condition in proximity to the implanted device without causing undesired damage to the patient's tissue surrounding the implanted device.

Abstract: The disclosure describes an implantable stimulation system that guides programming with a therapeutic tree. All possible stimulation parameters are arranged on the therapeutic tree, with each level of the therapeutic tree containing a different stimulation parameter type. Each level includes nodes that are connected to nodes of adjacent levels. A user, such as a clinician or a patient, creates a program path by moving through nodes of lower levels. The stimulation parameter types are arranged so that coarse adjustments occur at higher levels of the tree and fine adjustments occur at lower levels of the tree. The nodes of the program path define the stimulation parameters of the delivered stimulation therapy. In addition, a sensor may detect a physiological function to allow the system to automatically identify therapy efficacy and create the most efficacious program path for the patient.

Abstract: The disclosure describes an implantable stimulation system that guides programming with a therapeutic tree. All possible stimulation parameters are arranged on the therapeutic tree, with each level of the therapeutic tree containing a different stimulation parameter type. Each level includes nodes that are connected to nodes of adjacent levels. A program path is created by moving through nodes of lower levels. The stimulation parameter types are arranged so that coarse adjustments occur at higher levels of the tree and fine adjustments occur at lower levels of the tree. The nodes of the program path define the stimulation parameters of the delivered stimulation therapy. Performance feedback may be used by the system to evaluate nodes of the therapeutic tree and define the program path. The performance feedback may include beneficial effects, adverse effects, and system performance related to the stimulation therapy. Additionally, one or more sensors may provide the performance feedback.

Abstract: A method for monitoring infection in proximity to an implanted medical device includes monitoring an indicator of infection in proximity to the device and determining whether a value associated the indicator of infection crosses a first threshold indicative of infection. The method further includes detecting an event associated with the device. The event is capable of affecting the indicator of infection. The method also includes determining whether the value associated with the indicator of infection crosses a second threshold indicative of infection if the event is detected. The method may further include issuing an alert if (i) the first threshold is crossed and the event is not detected, or (ii) the second threshold is crossed and the event is detected.

Abstract: Implantable medical devices include a sensor module capable of detecting an indicator of infection in proximity to the device. The sensor module is activated following a detection of an event associated with the device, such as, for example, refill of an implantable infusion device or implantation. The sensor module is deactivated two or more hours following activation. Methods include detecting a first event associated with an implanted medical device; activating a sensor module of the implanted medical device at or after the detection of the first event; deactivating the sensor module two hours or more after the sensor module is activated; and determining whether information regarding the indicator of infection is indicative of an infection.

Abstract: System and method for estimating a time to recharge a rechargeable power source of an implantable medical device. A plurality of measured parameters relating to the implantable medical device and an external charging device are applied to a model of recharging performance and an estimate is provided to a patient, perhaps in advance of charging. Once charging has begun, updated estimates can be provided until charging is complete. Once charging is complete, the model may be updated to reflect any differences in the estimated time to complete charging and the actual time required to complete charging. The model may be based on limitations to the rate at which charge may be transferred to the rechargeable power source over a plurality of intervals.

Abstract: A system and method for determining, during a recharge session, an amount of time until a subsequent recharge session is required to charge a rechargeable power source of an implantable medical device. A model allows a determination of the time until recharge without suspending charging during the recharge session by basing the determination on an initial measured battery voltage and a present current into the rechargeable power source. Alternatively, charging is suspended during the recharge session, and voltage measurements are taken, after which time charging is resumed, without patient input or suspending the recharge session.

Abstract: Techniques for monitoring a battery of an implantable medical device are disclosed. First and second current sources are provided to draw currents having amplitudes of I1 and I2, respectively, from the battery. First and second voltage measurements, V1 and V2, are obtained when first and second combinations, respectively, of the first and second current sources are selectively activated. Battery impedance is determined using the current amplitudes I1 and I2 and the voltage measurements V1 and V2. The impedance measurement may be used to obtain an open-circuit voltage of the battery without the need to disconnect the battery from circuitry to which it provides power. Battery impedance and/or open-circuit battery voltage may then be used to determine an estimated time until an action is required involving the battery, which may include activation of an ERI or EOL indicator, or initiation of a recharge session.

Abstract: A method for monitoring an infection in proximity to an implantable medical device includes monitoring an indicator of infection in proximity to an implanted medical device; determining whether the indicator crosses a first threshold indicative of infection for a first period of time; and issuing a first alert if the indicator crosses the first threshold for the first period of time. The method further includes determining whether the indicator crosses a second threshold indicative of infection for a second period of time. A value associated with the second threshold is less indicative of an infection than a comparable value associated with the first threshold. The second period of time is greater than the first period of time. The method further includes issuing a second alert if the indicator crosses the second threshold for the second period of time. The first and second alert may be the same or different.