Abstract: Peripheral nerve field stimulation (PNFS) may be controlled based on detected physiological effects of the PNFS, which may be an efferent response to the PNFS. In some examples, a closed-loop therapy system may include a sensing module that senses a physiological parameter of the patient, which may be indicative of the patient's response to the PNFS. Based on a signal generated by the sensing module, the PNFS may be activated, deactivated or modified. Example physiological parameters of the patient include heart rate, respiratory rate, electrodermal activity, muscle activity, blood flow rate, sweat gland activity, pilomotor reflex, or thermal activity of the patient's body. In some examples, a patient pain state may be detected based on a signal generated by the sensing module, and therapy may be controlled based on the detection of the pain state.

Abstract: Peripheral nerve field stimulation (PNFS) may be controlled based on detected physiological effects of the PNFS, which may be an efferent response to the PNFS. In some examples, a closed-loop therapy system may include a sensing module that senses a physiological parameter of the patient, which may be indicative of the patient's response to the PNFS. Based on a signal generated by the sensing module, the PNFS may be activated, deactivated or modified. Example physiological parameters of the patient include heart rate, respiratory rate, electrodermal activity, muscle activity, blood flow rate, sweat gland activity, pilomotor reflex, or thermal activity of the patient's body. In some examples, a patient pain state may be detected based on a signal generated by the sensing module, and therapy may be controlled based on the detection of the pain state.

Abstract: Peripheral nerve field stimulation (PNFS) may be controlled based on detected physiological effects of the PNFS, which may be an efferent response to the PNFS. In some examples, a closed-loop therapy system may include a sensing module that senses a physiological parameter of the patient, which may be indicative of the patient's response to the PNFS. Based on a signal generated by the sensing module, the PNFS may be activated, deactivated or modified. Example physiological parameters of the patient include heart rate, respiratory rate, electrodermal activity, muscle activity, blood flow rate, sweat gland activity, pilomotor reflex, or thermal activity of the patient's body. In some examples, a patient pain state may be detected based on a signal generated by the sensing module, and therapy may be controlled based on the detection of the pain state.

Abstract: Peripheral nerve field stimulation (PNFS) may be controlled based on detected physiological effects of the PNFS, which may be an efferent response to the PNFS. In some examples, a closed-loop therapy system may include a sensing module that senses a physiological parameter of the patient, which may be indicative of the patient's response to the PNFS. Based on a signal generated by the sensing module, the PNFS may be activated, deactivated or modified. Example physiological parameters of the patient include heart rate, respiratory rate, electrodermal activity, muscle activity, blood flow rate, sweat gland activity, pilomotor reflex, or thermal activity of the patient's body. In some examples, a patient pain state may be detected based on a signal generated by the sensing module, and therapy may be controlled based on the detection of the pain state.

Abstract: A therapy program for peripheral nerve field stimulation (PNFS) may be selected based on user input indicating a desired therapeutic effect for a user-specified region in which a patient feels pain. In other examples, PNFS may be programmed based on input from a user selecting at least one region from among a plurality of regions in which the patient experiences pain. In addition, the PNFS may be programmed based on user input defining an aspect of PNFS for the selected region, such as a relative intensity of PNFS delivered to at least two selected regions, a balance of PNFS between at least two regions, a desired shift in PNFS from a first region to a second region, or an extent to which a first stimulation field within a first region overlaps with a second stimulation field in a second region.

Abstract: Peripheral nerve field stimulation (PNFS) delivered by medical device to a patient may be programmed by specifying one or more characteristics of a stimulation field generated by the IMD to provide the PNFS. The characteristics of the stimulation field may include, for example, a direction of stimulation within the field, a breadth of the stimulation field, a focus of stimulation within the stimulation field, a depth of the stimulation field relative to a reference point, such as the epidermis of the patient, or a nerve fiber diameter selection.

Abstract: A therapy program for peripheral nerve field stimulation (PNFS) may be selected based on user input indicating a desired therapeutic effect for a user-specified region in which a patient feels pain. In other examples, PNFS may be programmed based on input from a user selecting at least one region from among a plurality of regions in which the patient experiences pain. In addition, the PNFS may be programmed based on user input defining an aspect of PNFS for the selected region, such as a relative intensity of PNFS delivered to at least two selected regions, a balance of PNFS between at least two regions, a desired shift in PNFS from a first region to a second region, or an extent to which a first stimulation field within a first region overlaps with a second stimulation field in a second region.

Abstract: Peripheral nerve field stimulation (PNFS) may be controlled based on detected physiological effects of the PNFS, which may be an efferent response to the PNFS. In some examples, a closed-loop therapy system may include a sensing module that senses a physiological parameter of the patient, which may be indicative of the patient's response to the PNFS. Based on a signal generated by the sensing module, the PNFS may be activated, deactivated or modified. Example physiological parameters of the patient include heart rate, respiratory rate, electrodermal activity, muscle activity, blood flow rate, sweat gland activity, pilomotor reflex, or thermal activity of the patient's body. In some examples, a patient pain state may be detected based on a signal generated by the sensing module, and therapy may be controlled based on the detection of the pain state.

Abstract: A therapy program for peripheral nerve field stimulation (PNFS) may be selected based on user input indicating a desired therapeutic effect for a user-specified region in which a patient feels pain. In other examples, PNFS may be programmed based on input from a user selecting at least one region from among a plurality of regions in which the patient experiences pain. In addition, the PNFS may be programmed based on user input defining an aspect of PNFS for the selected region, such as a relative intensity of PNFS delivered to at least two selected regions, a balance of PNFS between at least two regions, a desired shift in PNFS from a first region to a second region, or an extent to which a first stimulation field within a first region overlaps with a second stimulation field in a second region.

Abstract: Peripheral nerve field stimulation (PNFS) may be controlled based on detected physiological effects of the PNFS, which may be an efferent response to the PNFS. In some examples, a closed-loop therapy system may include a sensing module that senses a physiological parameter of the patient, which may be indicative of the patient's response to the PNFS. Based on a signal generated by the sensing module, the PNFS may be activated, deactivated or modified. Example physiological parameters of the patient include heart rate, respiratory rate, electrodermal activity, muscle activity, blood flow rate, sweat gland activity, pilomotor reflex, or thermal activity of the patient's body. In some examples, a patient pain state may be detected based on a signal generated by the sensing module, and therapy may be controlled based on the detection of the pain state.

Abstract: Techniques for selecting electrode combinations for stimulation therapy include delivering stimulation via each of at least two electrode combination classes during a therapy evaluation period. A first one of the classes comprises one or more electrode combinations that include electrodes within one or two columns of an implantable array of electrodes. The array may include at least three electrode columns. A second one of the classes comprises one or more electrode combinations that include electrodes within at least three electrode columns of the implantable array of electrodes. A preferred one of the electrode combination classes for a patient, and/or a number of leads to implant within the patient, may by selected based on feedback collected from the patient during the therapy evaluation period.

Abstract: Techniques for selecting electrode combinations for stimulation therapy are described. The techniques include selecting one or more electrode combinations based on information associating a plurality of electrode combinations with at least one value of a therapy metric. The therapy metric comprises a quantifiable result of delivery of stimulation, and may be generated computer modeling of delivery of stimulation via the electrode combinations. In one embodiment, a clinician may deliver stimulation via a baseline electrode combination, receive patient feedback to the baseline electrode combination, select a therapy metric based on the patient feedback, and select additional electrode combinations based on the selected therapy metric and the information associating the electrode combinations with therapy metric values.

Abstract: Techniques for selecting electrode combinations for stimulation therapy include delivering stimulation via each of at least five combination groups. A first group of electrode combinations is characterized by the presence of a caudal anode. A second group of electrode combinations is characterized by the presence of a rostral anode. A third group of electrode combinations is characterized by the presence of a single anode above and a single anode below the cathode(s) of the combination. A fourth group of electrode combinations is characterized by the presence of multiple anodes above and below the cathode(s) of the combination. A fifth group of electrode combinations is characterized by the presence of transverse anodes. A sixth group of electrode combination is characterized by at least one off-center cathode. One or more preferred electrode combinations groups, and/or a number of leads to implant within the patient, may by selected based on patient feedback.

Abstract: Peripheral nerve field stimulation (PNFS) delivered by a medical device to a patient may be programmed by specifying one or more characteristics of a stimulation field generated by the IMD to provide the PNFS. The characteristics of the stimulation field may include, for example, a direction of stimulation within the field, a breadth of the stimulation field, a focus of stimulation within the stimulation field, a depth of the stimulation field relative to a reference point, such as the epidermis of the patient, or a nerve fiber diameter selection.

Abstract: Peripheral nerve field stimulation (PNFS) may be controlled based on detected physiological effects of the PNFS, which may be an efferent response to the PNFS. In some examples, a closed-loop therapy system may include a sensing module that senses a physiological parameter of the patient, which may be indicative of the patient's response to the PNFS. Based on a signal generated by the sensing module, the PNFS may be activated, deactivated or modified. Example physiological parameters of the patient include heart rate, respiratory rate, electrodermal activity, muscle activity, blood flow rate, sweat gland activity, pilomotor reflex, or thermal activity of the patient's body. In some examples, a patient pain state may be detected based on a signal generated by the sensing module, and therapy may be controlled based on the detection of the pain state.

Abstract: A therapy program for peripheral nerve field stimulation (PNFS) may be selected based on user input indicating a desired therapeutic effect for a user-specified region in which a patient feels pain. In other examples, PNFS may be programmed based on input from a user selecting at least one region from among a plurality of regions in which the patient experiences pain. In addition, the PNFS may be programmed based on user input defining an aspect of PNFS for the selected region, such as a relative intensity of PNFS delivered to at least two selected regions, a balance of PNFS between at least two regions, a desired shift in PNFS from a first region to a second region, or an extent to which a first stimulation field within a first region overlaps with a second stimulation field in a second region.

Abstract: Techniques for selecting electrode combinations for stimulation therapy include delivering stimulation via each of at least five combination groups. A first group of electrode combinations is characterized by the presence of a caudal anode. A second group of electrode combinations is characterized by the presence of a rostral anode. A third group of electrode combinations is characterized by the presence of a single anode above and a single anode below the cathode(s) of the combination. A fourth group of electrode combinations is characterized by the presence of multiple anodes above and below the cathode(s) of the combination. A fifth group of electrode combinations is characterized by the presence of transverse anodes. A sixth group of electrode combination is characterized by at least one off-center cathode. One or more preferred electrode combinations groups, and/or a number of leads to implant within the patient, may by selected based on patient feedback.

Abstract: Techniques for selecting electrode combinations for stimulation therapy include delivering stimulation via each of at least two electrode combination classes during a therapy evaluation period. A first one of the classes comprises one or more electrode combinations that include electrodes within one or two columns of an implantable array of electrodes. The array may include at least three electrode columns. A second one of the classes comprises one or more electrode combinations that include electrodes within at least three electrode columns of the implantable array of electrodes. A preferred one of the electrode combination classes for a patient, and/or a number of leads to implant within the patient, may by selected based on feedback collected from the patient during the therapy evaluation period.