Abstract: This disclosure describes techniques for controlling spectral aggressors in a sensing device that uses a chopper amplifier to amplify an input signal prior to sampling the signal. In some examples, the techniques for controlling spectral aggressors may include generating a chopper-stabilized amplified version of an input signal based on a chopper frequency, sampling the chopper-stabilized amplified version of the input signal at a sampling rate to generate a sampled signal, and analyzing a target frequency band of the sampled signal. The chopper frequency and the sampling rate may cause spectral interference that is generated due to the chopper frequency to occur in the sampled signal at one or more frequencies that are outside of the target frequency band of the sampled signal. The techniques for controlling spectral aggressors may reduce the noise caused by the chopper frequency in the resulting sampled signal, thereby improving the quality of the signal.

Abstract: This disclosure describes techniques for controlling spectral aggressors in a sensing device that uses a low power sleep mode to manage the power consumed by the device. In some examples, the techniques for controlling spectral aggressors may include configuring one or more of an algorithm processing rate for a processor, a buffering rate for the processor, a sampling rate for an analog-to-digital converter, an execution unit processing rate for the processor, and an algorithm subdivision factor for the processor such that spectral interference caused by a sleep cycle rate of the processor occurs outside of one or more target frequency bands of a sampled signal. The techniques of this disclosure may be used to reduce noise in a sensing system that uses a low power sleep mode to manage the power consumed by the device.

Abstract: Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination.

Abstract: Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination.

Abstract: This disclosure describes techniques for controlling spectral aggressors in a sensing device that uses a low power sleep mode to manage the power consumed by the device. In some examples, the techniques for controlling spectral aggressors may include configuring one or more of an algorithm processing rate for a processor, a buffering rate for the processor, a sampling rate for an analog-to-digital converter, an execution unit processing rate for the processor, and an algorithm subdivision factor for the processor such that spectral interference caused by a sleep cycle rate of the processor occurs outside of one or more target frequency bands of a sampled signal. The techniques of this disclosure may be used to reduce noise in a sensing system that uses a low power sleep mode to manage the power consumed by the device.

Abstract: This disclosure describes techniques for controlling spectral aggressors in a sensing device that uses a chopper amplifier to amplify an input signal prior to sampling the signal. In some examples, the techniques for controlling spectral aggressors may include generating a chopper-stabilized amplified version of an input signal based on a chopper frequency, sampling the chopper-stabilized amplified version of the input signal at a sampling rate to generate a sampled signal, and analyzing a target frequency band of the sampled signal. The chopper frequency and the sampling rate may cause spectral interference that is generated due to the chopper frequency to occur in the sampled signal at one or more frequencies that are outside of the target frequency band of the sampled signal. The techniques for controlling spectral aggressors may reduce the noise caused by the chopper frequency in the resulting sampled signal, thereby improving the quality of the signal.

Abstract: Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination.

Abstract: Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination.

Abstract: Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination.

Abstract: Apparatus and method support the configuration and testing of therapy parameters for a medical device system in the treatment of nervous system disorders. With the embodiment, the medical device system operates in a manual treatment therapy mode, in which the medical device system evaluates a set of information that is indicative of a system configuration. The medical device system determines if the set of information is acceptable. During the manual treatment therapy mode, the medical device system applies therapeutic treatment to a patient in accordance with the set of information. If the patient cannot tolerate the therapeutic treatment, the user indicates so through a user interface. The medical device system may associate the patient's intolerance to therapeutic treatments that equal or exceed the patient's level of tolerance. Moreover, the medical device system may use this information to prevent a delivery of therapeutic treatment that exceeds the patient's level of tolerance during a run mode.

Abstract: Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination.

Abstract: A lead extension is provided that includes a physiological data recorder configured to store physiological data from the patient. A first extension segment may electrically and physically couple an implantable medical lead to the physiological data recorder, and a second extension segment may electrically and physically couple an implantable medical device (IMD) or a secondary lead extension to the physiological data recorder. The physiological data recorder may include a processor that collects the physiological data derived from sensed electrical signals from the medical lead and a memory to store the physiological data. The physiological data recorder may also wirelessly transmit the physiological data to an external programmer, or be explanted for data retrieval. In some examples, the physiological data recorder may be powered by electrical signals generated by the IMD, which may be either signals intended solely for charging, or signals intended for stimulation therapy.

Abstract: Brain signals may be monitored at different locations of a mood circuit in order to determine a mood state of the patient. A relationship (e.g., a ratio) between frequency band characteristics of the monitored brain signals may be indicative of a particular mood state. In some examples, therapy parameter values that define the therapy delivered to the patient may be selected to maintain a target relationship (e.g., a target ratio) between the frequency band characteristics of the brain signals monitored within the mood circuit. In addition, in some examples, therapy delivery to the patient may be controlled based on the frequency band characteristics of brain signals sensed at different portions of the mood circuit.

Abstract: Bioelectrical signals may be sensed within a brain of a patient with a plurality of sense electrode combinations. A stimulation electrode combination for delivering stimulation to the patient to manage a patient condition may be selected based on the frequency band characteristics of the sensed signals. In some examples, a stimulation electrode combination associated with the sense electrode combination that sensed a bioelectrical brain signal having a relatively highest relative beta band power level may be selected to deliver stimulation therapy to the patient. Other frequency bands characteristics may also be used to select the stimulation electrode combination.

Abstract: In general, the disclosure is directed to a frequency selective monitor and methods for monitoring physiological signals in one or more selected frequency bands. A frequency selective monitor may utilize a heterodyning, chopper-stabilized amplifier architecture to convert a selected frequency band to a baseband for analysis. The frequency selective monitor may be useful in a variety of therapeutic and/or diagnostic applications. As examples, a frequency selective signal monitor may be provided within a medical device or within a sensor coupled to a medical device. The physiological signal may be analyzed in one or more selected frequency bands to trigger delivery of patient therapy and/or recording of diagnostic information.

Abstract: Apparatuses and methods selectively blank a neurological channel of a medical device system in the treatment of a nervous system disorder. A selected signal of a selected channel may be blanked if it is determined that the selected signal may be affected by an artifact when the medical device system delivers a treatment therapy. The selected signal may be blanked by hardware, in which the selected electrode is disconnected from the selected channel (which may include an selected amplifier) and is connected to a fixed voltage in order to avoid saturation of the selected amplifier. The selected channel may be blanked by software, in which a signal processor is instructed not to process neurological data on the selected channel for a determined time duration. Embodiments may combine hardware and software blanking for the selected signal.

Abstract: Apparatus and method support the configuration and testing of therapy parameters for a medical device system in the treatment of nervous system disorders. With the embodiment, the medical device system operates in a manual treatment therapy mode, in which the medical device system evaluates a set of information that is indicative of a system configuration. The medical device system determines if the set of information is acceptable. During the manual treatment therapy mode, the medical device system applies therapeutic treatment to a patient in accordance with the set of information. If the patient cannot tolerate the therapeutic treatment, the user indicates so through a user interface. The medical device system may associate the patient's intolerance to therapeutic treatments that equal or exceed the patient's level of tolerance. Moreover, the medical device system may use this information to prevent a delivery of therapeutic treatment that exceeds the patient's level of tolerance during a run mode.

Abstract: A medical device system having a redundant back-up mechanism to ensure that treatment therapy is turned off after a given time duration. Once the treatment therapy is initiated, a cycle ON timer is set. If the ON timer expires prior to receiving any instruction to turn off the treatment therapy, the device responsively turns off the treatment therapy, thereby ensuring that the treatment therapy is not delivered beyond that which is desired.

Abstract: Apparatuses and methods selectively blank a neurological channel of a medical device system in the treatment of a nervous system disorder. A selected signal of a selected channel may be blanked if it is determined that the selected signal may be affected by an artifact when the medical device system delivers a treatment therapy. The selected signal may be blanked by hardware, in which the selected electrode is disconnected from the selected channel (which may include an selected amplifier) and is connected to a fixed voltage in order to avoid saturation of the selected amplifier. The selected channel may be blanked by software, in which a signal processor is instructed not to process neurological data on the selected channel for a determined time duration. Embodiments may combine hardware and software blanking for the selected signal.

Abstract: An acoustic detector for detecting acoustic signals produced by vehicles. The detector comprises an acoustic sensor which senses an acoustic signal which is provided to a zero crossing detector. The zero crossing detector provides a digital signal representing the frequency of the incoming acoustic signal. The zero crossing detector's providing this digital signal to a first counter, the first counter's counting each zero crossing, and the first counter's reaching a predetermined count of zero crossings in a predetermined time for a predetermined number of times results in an acoustic alert provided to a secondary device which is put on alert of a vehicle in its vicinity. This secondary device may be a mine.