Abstract:
The disclosure is directed towards posture-responsive therapy. To avoid interruptions in effective therapy, an implantable medical device may include a posture state module that detects the posture state of the patient and automatically adjusts therapy parameter values according to the detected posture state. A system may include a memory that stores posture state definitions, a posture state module that records a plurality of postures of a patient over a period of time, and a processor that identifies a set of the plurality of postures that fall within a posture state, and redefines a boundary of the posture state based on where the postures fall within the posture state.
Abstract:
The disclosure provides a system that displays a posture state indication to a user. A posture state indication represents the current posture state of the patient, which may be a combination of patient posture and activity. As a patient changes posture and activity throughout a daily routine, a posture state detector may generate a posture state value that may be used to categorize the patient's posture or posture and activity level as one of multiple posture states used to adjust therapy. The posture state may be associated with one of multiple posture state indications that may be presented to the patient. The posture state indication shows the patient the posture state currently detected by the posture state detector. The posture state indication may help the patient to effectively monitor therapy changes due to automatic, semi-automatic or patient-directed therapy adjustments made as a function of posture state.
Abstract:
This disclosure describes techniques for combining an image of a region defined by the user to receive stimulation therapy with an image of representation of leads which will deliver the therapy to the defined region, and importing the combined image on an implantable medical device connected to the leads that will deliver the stimulation therapy. During the process of combining the images, the user manipulates one or both of the images to combine the image such that the leads are placed for accurate therapy delivery. In some examples where more than one region is to receive stimulation therapy, each region can have a different image and/or a different set of leads associated therewith, and a combined image of each region may be produced, manipulated, and imported on the implantable medical device.
Abstract:
The disclosure is directed towards posture-responsive therapy. To avoid interruptions in effective therapy, an implantable medical device may include a posture state module that detects the posture state of the patient and automatically adjusts therapy parameter values according to the detected posture state. A system may include a posture state module that records a current posture of a patient, a user interface that receives a therapy adjustment, a processor that associates a posture that the posture state module recorded when the user interface received the therapy adjustment with the therapy adjustment, determines whether the posture falls within a defined posture state, compares the therapy adjustment to therapy information associated with the defined posture state, and updates the set of posture state definitions based on the determination and comparison.
Abstract:
The disclosure is directed towards posture-responsive therapy. To avoid interruptions in effective therapy, an implantable medical device may include a posture state module that detects the posture state of the patient and automatically adjusts therapy parameter values according to the detected posture state. A system may include a posture state module that records a current posture of a patient, a user interface that receives a therapy adjustment, a processor that associates a posture that the posture state module recorded when the user interface received the therapy adjustment with the therapy adjustment, determines whether the posture falls within a defined posture state, compares the therapy adjustment to therapy information associated with the defined posture state, and updates the set of posture state definitions based on the determination and comparison.
Abstract:
Techniques related to classifying a posture state of a living body are disclosed. One aspect relates to sensing at least one signal indicative of a posture state of a living body. Posture state detection logic classifies the living body as being in a posture state based on the at least one signal, wherein this classification may take into account at least one of posture and activity state of the living body. The posture state detection logic further determines whether the living body is classified in the posture state for at least a predetermined period of time. Response logic is described that initiates a response as a result of the body being classified in the posture state only after the living body has maintained the classified posture state for at least the predetermined period of time. This response may involve a change in therapy, such as neurostimulation therapy, that is delivered to the living body.
Abstract:
The disclosure is directed towards posture-responsive therapy. To avoid interruptions in effective therapy, an implantable medical device may include a posture state module that detects the posture state of the patient and automatically adjusts therapy parameter values according to the detected posture state. A system may include a memory that stores posture state definitions, a posture state module that records a plurality of postures of a patient over a period of time, and a processor that identifies a set of the plurality of postures that fall within a posture state, and redefines a boundary of the posture state based on where the postures fall within the posture state.
Abstract:
A programming session for an implantable medical device that includes a posture responsive therapy mode includes at least two phases. In a first phase, a first set of therapy parameter values are modified while the posture responsive therapy mode is deactivated. In the posture responsive therapy mode, the medical device automatically selects one or more therapy parameter values that define therapy delivered to a patient based on a detected posture state. In a second phase, the posture responsive therapy mode is activated and a second set of therapy parameter values are adjusted after observing a patient response to the posture responsive therapy delivered with the first set of therapy parameter values selected during the first phase. The second set of therapy parameter values may, for example, define the patient posture states or the modification profiles with which the medical device adjusts therapy upon detecting a posture state transition.
Abstract:
Techniques related to classifying a posture state of a living body are disclosed. One aspect relates to sensing at least one signal indicative of a posture state of a living body. Posture state detection logic classifies the living body as being in a posture state based on the at least one signal, wherein this classification may take into account at least one of posture and activity state of the living body. The posture state detection logic further determines whether the living body is classified in the posture state for at least a predetermined period of time. Response logic is described that initiates a response as a result of the body being classified in the posture state only after the living body has maintained the classified posture state for at least the predetermined period of time. This response may involve a change in therapy, such as neurostimulation therapy, that is delivered to the living body.
Abstract:
The disclosure provides a system that displays an indicator of patient posture state that changes according to posture state data. The posture state data may be transmitted from a medical device, for example, in or near real-time. In some examples, the disclosure relates to a method comprising receiving posture state data for a patient from a medical device; and presenting an indicator indicative of two or more of posture states based on the received posture state data, wherein each posture state of the two or more posture states is determined based on different detection criteria.