Abstract:
At least one of a medical device, such as an implantable medical device, and a programming device determines values for one or more metrics that indicate the quality of a patient's sleep. Sleep efficiency, sleep latency, and time spent in deeper sleep states are example sleep quality metrics for which values may be determined. In some embodiments, determined sleep quality metric values are associated with a current therapy parameter set. In some embodiments, a programming device presents sleep quality information to a user based on determined sleep quality metric values. A clinician, for example, may use the sleep quality information presented by the programming device to evaluate the effectiveness of therapy delivered to the patient by the medical device, to adjust the therapy delivered by the medical device, or to prescribe a therapy not delivered by the medical device in order to improve the quality of the patient's sleep.
Abstract:
Transdermal insertion of a transcutaneous filling apparatus, for the purpose of filling a fill chamber of an implanted therapy delivery device, is monitored by measuring each impedance between pairs of electrodes of a needle of the apparatus, and comparing each to a threshold impedance; the electrodes, preferably at least three in number, are isolated and spaced apart from one another along a length of the needle. A confirmation signal is generated when at least one of the measured impedances is greater than the threshold impedance, and another is less than the threshold, the condition indicating that one of the electrodes is located within a non-conductive septum, through which the apparatus must pass to access the fill chamber. A detection circuit, which may be located in a housing of the apparatus that is attached to a proximal end of the needle, measures and compares the impedances.
Abstract:
A device determines values for one or more metrics that indicate the quality of a patient's sleep based on sensed physiological parameter values. Sleep efficiency, sleep latency, and time spent in deeper sleep states are example sleep quality metrics for which values may be determined. The sleep quality metric values may be used, for example, to evaluate the effectiveness of a therapy delivered to the patient by a medical device. In some embodiments, determined sleep quality metric values are automatically associated with the therapy parameter sets according to which the medical device delivered the therapy when the physiological parameter values were sensed, and used to evaluate the effectiveness of the various therapy parameter sets. The medical device may deliver the therapy to treat a non-respiratory neurological disorder, such as epilepsy, a movement disorder, or a psychological disorder. The therapy may be, for example, deep brain stimulation (DBS) therapy.
Abstract:
A medical device delivers a therapy to a patient. Posture events are identified, e.g., a posture of the patient is periodically determined and/or posture transitions by the patient are identified, and each determined posture event is associated with a current therapy parameter set. A value of at least one posture metric is determined for each of a plurality of therapy parameter sets based on the posture events associated with that therapy parameter set. A list of the therapy parameter sets is presented to a user, such as a clinician, for evaluation of the relative efficacy of the therapy parameter sets. The list may be ordered according to the one or more posture metric values to aid in evaluation of the therapy parameter sets. Where values are determined for a plurality of posture metrics, the list may be ordered according to the one of the posture metrics selected by the user.
Abstract:
A bladder fullness level of a patient may be determined based on a frequency of mechanical oscillations of the bladder of the patient. The bladder may mechanically oscillate in response to the occurrence of non-micturition contractions of the bladder of the patient, which are contractions not associated with urine release. The frequency at which the bladder oscillates, e.g., following a non-micturition contraction, may have a correlation to the bladder fullness level. In some examples, a medical device may be configured to control the delivery of electrical stimulation therapy to the patient based on the oscillation frequency of the bladder. In addition, or instead to controlling therapy based on the oscillation frequency of the bladder, a notification, such as a patient or patient caretaker notification, may be generated (e.g., automatically by a processor of a device) based on the oscillation frequency of the bladder.
Abstract:
A device determines values for one or more metrics that indicate the quality of a patient's sleep based on sensed physiological parameter values. Sleep efficiency, sleep latency, and time spent in deeper sleep states are example sleep quality metrics for which values may be determined. The sleep quality metric values may be used, for example, to evaluate the effectiveness of a therapy delivered to the patient by a medical device. In some embodiments, determined sleep quality metric values are automatically associated with the therapy parameter sets according to which the medical device delivered the therapy when the physiological parameter values were sensed, and used to evaluate the effectiveness of the various therapy parameter sets. The medical device may deliver the therapy to treat a non-respiratory neurological disorder, such as epilepsy, a movement disorder, or a psychological disorder. The therapy may be, for example, deep brain stimulation (DBS) therapy.
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:
A medical device delivers a therapy to a patient. The medical device or another device may periodically determine an activity level or gait parameter of the patient, and associate each determined level or parameter with a current therapy parameter set. A value of at least one activity metric is determined for each of a plurality of therapy parameter sets based on the activity levels or parameters associated with that therapy parameter set. Whether the patient is currently experiencing or anticipated to experience gait freeze caused by their neurological disorder, such as Parkinson's disease, may also be determined. Gait freeze events may be associated with current therapy parameters and used to determine activity metric values. In some examples, the activity metric associated with certain therapy parameters may be presented to a user.
Abstract:
Techniques for managing urinary or fecal incontinence include delivering a first type of therapy to generate a first physiological response and, upon detecting a trigger event, delivering a second type of therapy to generate a second physiological response. The first type of therapy can be delivered on a substantially regular basis, while the second type of therapy is delivered as needed to provide an additional boost of therapy. The trigger event for activating the delivery of the second type of therapy may include input from a sensor that indicates a bladder condition, patient activity level or patient posture, or patient input. In some examples, the therapy is stimulation therapy.
Abstract:
Transdermal insertion of a transcutaneous filling apparatus, for the purpose of filling a fill chamber of an implanted therapy delivery device, is monitored by measuring each impedance between pairs of electrodes of a needle of the apparatus, and comparing each to a threshold impedance; the electrodes, preferably at least three in number, are isolated and spaced apart from one another along a length of the needle. A confirmation signal is generated when at least one of the measured impedances is greater than the threshold impedance, and another is less than the threshold, the condition indicating that one of the electrodes is located within a non-conductive septum, through which the apparatus must pass to access the fill chamber. A detection circuit, which may be located in a housing of the apparatus that is attached to a proximal end of the needle, measures and compares the impedances.