Patent application number | Description | Published |
20080269842 | Implantable medical device for treating neurological conditions with an initially disabled cardiac therapy port and leadless ECG sensing - An implantable medical device such as an implantable pulse generator that includes EEG sensing for monitoring and treating neurological conditions, and leadless ECG sensing for monitoring cardiac signals. The device includes a connector block with provisions for cardiac leads which may be used/enabled when needed. If significant co-morbid cardiac events are observed in patients via the leadless ECG monitoring, then cardiac leads may be subsequently connected for therapeutic use. | 10-30-2008 |
20090082641 | PATIENT EVENT INDICATION - An indication that a patient event occurred may be used to evaluate the efficacy of at least one therapy program and/or adjust therapy delivery to the patient. In some examples, the patient event indication includes patient input that may be received via an event indication button of a programming device. In addition to or instead of the patient input, the patient event indication may be generated based on a physiological parameter of the patient. In some examples, therapy delivery may be adjusted by adjusting at least one therapy parameter value, switching therapy programs or therapy program groups or restarting a therapy cycle of a medical device. The patient input via an event indication button may also help evaluate whether a therapy system is useful for the patient. | 03-26-2009 |
20090083070 | THERAPY ADJUSTMENT BASED ON PATIENT EVENT INDICATION - An indication that a patient event occurred may be used to evaluate the efficacy of at least one therapy program and/or adjust therapy delivery to the patient. In some examples, the patient event indication includes patient input that may be received via an event indication button of a programming device. In some examples, therapy delivery may be adjusted by adjusting at least one therapy parameter value, switching therapy programs or therapy program groups or restarting a therapy cycle of a medical device. | 03-26-2009 |
20090099627 | THERAPY CONTROL BASED ON A PATIENT MOVEMENT STATE - A movement state of a patient is detected based on brain signals, such as an electroencephalogram (EEG) signal. In some examples, a brain signal within a dorsal-lateral prefrontal cortex of a brain of the patient indicative of prospective movement of the patient may be sensed in order to detect the movement state. The movement state may include the brain state that indicates the patient is intending on initiating movement, initiating movement, attempting to initiate movement or is actually moving. In some examples, upon detecting the movement state, a movement disorder therapy is delivered to the patient. In some examples, the therapy delivery is deactivated upon detecting the patient is no longer in a movement state or that the patient has successfully initiated movement. In addition, in some examples, the movement state detected based on the brain signals may be confirmed based on a signal from a motion sensor. | 04-16-2009 |
20100042187 | CONNECTING ELECTRICAL SOURCES TO ELECTRODE NODES IN A MEDICAL DEVICE - This disclosure describes electrical stimulators that include some electrical sources (e.g., current sources, voltage sources) that are directly connected to a plurality of electrode nodes, and other electrical sources that may be selectively connected to selected ones of the plurality of electrode nodes via a switching unit, such as a multiplexer. One example stimulator comprises a processor, a plurality of electrode nodes, and a stimulation generator that is coupled to the processor and to the plurality of electrode nodes. The stimulation generator comprises a plurality of negative electrical sources, a switching unit, and at least one positive electrical source. The negative electrical sources are each directly connected to a different one of the plurality of electrode nodes. The switching unit is connected to each of the plurality of electrode nodes. The at least one positive electrical source is connected to the switching unit. The switching unit is configured to connect the at least one positive electrical source to a selected one or more of the plurality of electrode nodes. | 02-18-2010 |
20100121213 | SEIZURE DISORDER EVALUATION BASED ON INTRACRANIAL PRESSURE AND PATIENT MOTION - Intracranial pressure of a patient may be monitored in order to evaluate a seizure disorder. In some examples, trends in the intracranial pressure over time may be monitored, e.g., to detect changes to the patient's condition. In addition, in some examples, a seizure metric may be generated for a detected seizure based on sensed intracranial pressures. The seizure metric may indicate, for example, an average, median, or highest relative intracranial pressure value observed during a seizure, a percent change from a baseline value during the seizure, or the time for the intracranial pressure to return to a baseline state after the occurrence of a seizure. In addition to or instead of intracranial pressure, patient motion or posture may be monitored in order to assess the patient's seizure disorder. For example, a seizure type or severity may be determined based on patient motion sensed during a seizure. | 05-13-2010 |
20100121214 | SEIZURE DISORDER EVALUATION BASED ON INTRACRANIAL PRESSURE AND PATIENT MOTION - Intracranial pressure of a patient may be monitored in order to evaluate a seizure disorder. In some examples, trends in the intracranial pressure over time may be monitored, e.g., to detect changes to the patient's condition. In addition, in some examples, a seizure metric may be generated for a detected seizure based on sensed intracranial pressures. The seizure metric may indicate, for example, an average, median, or highest relative intracranial pressure value observed during a seizure, a percent change from a baseline value during the seizure, or the time for the intracranial pressure to return to a baseline state after the occurrence of a seizure. In addition to or instead of intracranial pressure, patient motion or posture may be monitored in order to assess the patient's seizure disorder. For example, a seizure type or severity may be determined based on patient motion sensed during a seizure. | 05-13-2010 |
20100274115 | LEAD EXTENSION WITH PHYSIOLOGICAL DATA RECORDER - 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. | 10-28-2010 |
20100292753 | Method and Apparatus for Detection of Nervous System Disorders - Systems and methods for detecting and/or treating nervous system disorders, such as seizures. Certain embodiments of the invention relate generally to implantable medical devices (IMDs) adapted to detect and treat nervous system disorders in patients with an IMD. Certain embodiments of the invention include detection of seizures based upon comparisons of long-term and short-term representations of physiological signals. Other embodiments include prediction of seizure activity based upon analysis of physiological signal levels. An embodiment of the invention monitors the quality of physiological signals, and may be able to compensate for signals of low signal quality. A further embodiment of the invention includes detection of seizure activity following the delivery of therapy. | 11-18-2010 |
20110190851 | STIMULATION MODE SWITCHING BASED ON TISSUE IMPEDANCE STABILITY - Implantable medical devices switch from a constant current mode of operation to a constant voltage mode of operation. The switching may be based on the device determining that tissue impedance stability has occurred. The determination may be a measurement of output voltage stability of the constant current source or based on other factors such as an amount of time that has elapsed. The switching may be as the result of an externally generated request such as by a clinician via an external device. The implantable medical device may begin constant voltage mode by utilizing stimulation parameters based on those initially programmed for constant current mode and based upon a measurement of voltage amplitude being output by the constant current source prior to the switch. | 08-04-2011 |
20110263999 | METHOD AND APPARATUS FOR DETECTION OF NERVOUS SYSTEM DISORDERS - Systems and methods for detecting and/or treating nervous system disorders, such as seizures. Certain embodiments of the invention relate generally to implantable medical devices (IMDs) adapted to detect and treat nervous system disorders in patients with an IMD. Certain embodiments of the invention include detection of seizures based upon comparisons of long-term and short-term representations of physiological signals. Further embodiments of the invention include preparing for the delivery of therapy by warming up therapy delivery components prior to the expected delivery of therapy. | 10-27-2011 |
20120022340 | DETECTING SLEEP TO EVALUATE THERAPY - A system includes one or more sensors and a processor. Each of the sensors generates a signal as a function of at least one physiological parameter of a patient that may discernibly change when the patient is asleep. The processor monitors the physiological parameters, and determines whether the patient is asleep based on the parameters. In some embodiments, the processor determines plurality of sleep metric values, each of which indicates a probability of the patient being asleep, based on each of a plurality of physiological parameters. The processor may average or otherwise combine the plurality of sleep metric values to provide an overall sleep metric value that is compared to a threshold value in order to determine whether the patient is asleep. In addition, an electroencephalogram signal may be used to identify sleep states of the patient. | 01-26-2012 |
20120108998 | THERAPY CONTROL BASED ON A PATIENT MOVEMENT STATE - A movement state of a patient is detected based on brain signals, such as an electroencephalogram (EEG) signal. In some examples, a brain signal within a dorsal-lateral prefrontal cortex of a brain of the patient indicative of prospective movement of the patient may be sensed in order to detect the movement state. The movement state may include the brain state that indicates the patient is intending on initiating movement, initiating movement, attempting to initiate movement or is actually moving. In some examples, upon detecting the movement state, a movement disorder therapy is delivered to the patient. In some examples, the therapy delivery is deactivated upon detecting the patient is no longer in a movement state or that the patient has successfully initiated movement. In addition, in some examples, the movement state detected based on the brain signals may be confirmed based on a signal from a motion sensor. | 05-03-2012 |
20120116179 | TECHNIQUES FOR DATA RETENTION UPON DETECTION OF AN EVENT IN AN IMPLANTABLE MEDICAL DEVICE - Methods and apparatus for storing data records associated with a medical monitoring event in a data structure. These include initiating loop recording in an implantable medical device upon determination of a neurological event, wherein loop recording comprises storing a data record of a plurality of data records in a data structure, the plurality of data records representing information about determined neurological events. Methods and apparatus can further include determining a priority index for the plurality of data records based on severity levels of the determined neurological events and replacing older data records of the plurality of data records on the data structure with new data records according to the priority index, wherein the new data records selectively replace those data records in the data structure having the lowest associated priority index. | 05-10-2012 |
20120150251 | Implantable Medical Device for Treating Neurological Conditions Including ECG Sensing - An implantable medical device such as an implantable pulse generator that includes EEG sensing for monitoring and treating neurological conditions, and leadless ECG sensing for monitoring cardiac signals. The device includes a connector block with provisions for cardiac leads which may be used/enabled when needed. If significant co-morbid cardiac events are observed in patients via the leadless ECG monitoring, then cardiac leads may be subsequently connected for therapeutic use. | 06-14-2012 |
20140032512 | Techniques for Data Retention upon Detection of an Event in an Implantable Medical Device - Methods and apparatus for storing data records associated with a medical monitoring event in a data structure. These include initiating loop recording in an implantable medical device upon determination of a neurological event, wherein loop recording comprises storing a data record of a plurality of data records in a data structure, the plurality of data records representing information about determined neurological events. Methods and apparatus can further include determining a priority index for the plurality of data records based on severity levels of the determined neurological events and replacing older data records of the plurality of data records on the data structure with new data records according to the priority index, wherein the new data records selectively replace those data records in the data structure having the lowest associated priority index. | 01-30-2014 |
20140222101 | DETERMINATION OF SLEEP QUALITY FOR NEUROLOGICAL DISORDERS - 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. | 08-07-2014 |
20150080674 | TECHNIQUES FOR DATA RETENTION UPON DETECTION OF AN EVENT IN AN IMPLANTABLE MEDICAL DEVICE - Methods and apparatus for storing data records associated with a medical monitoring event in a data structure. These include initiating loop recording in an implantable medical device upon determination of a neurological event, wherein loop recording comprises storing a data record of a plurality of data records in a data structure, the plurality of data records representing information about determined neurological events. Methods and apparatus can further include determining a priority index for the plurality of data records based on severity levels of the determined neurological events and replacing older data records of the plurality of data records on the data structure with new data records according to the priority index, wherein the new data records selectively replace those data records in the data structure having the lowest associated priority index. | 03-19-2015 |