Patent classifications
A61N1/37282
Implantable medical device crosstalk evaluation and mitigation
Electrical crosstalk between two implantable medical devices or two different therapy modules of a common implantable medical device may be evaluated, and, in some examples, mitigated. In some examples, one of the implantable medical devices or therapy modules delivers electrical stimulation to a nonmyocardial tissue site or a nonvascular cardiac tissue site, and the other implantable medical device or therapy module delivers cardiac rhythm management therapy to a heart of the patient.
Staged rhythm detection system and method
A medical device and associated method for detecting and treating tachyarrhythmias acquires a cardiac signal using electrodes coupled to a sensing module. During an initial detection process, a shockable cardiac rhythm is detected by a processing module configured to compare the cardiac signal to a first set of detection criteria. By analyzing the cardiac signal, the processing module establishes at least one patient-specific detection threshold during the initial detection process. Upon establishing the at least one patient-specific detection threshold, the initial detection process is stopped, and a next detection process is started which includes comparing the cardiac signal to a second set of detection criteria including the at least one patient-specific detection threshold. In some embodiments, user programming of tachyarrhythmia detection parameters is not required.
MEDICAL DEVICE AND METHOD FOR PREDICTING CARDIAC EVENT SENSING BASED ON SENSING CONTROL PARAMETERS
A medical device is configured to receive sensed cardiac event data including a value of a feature determined from each one of a plurality of cardiac events sensed from a cardiac signal according to a first setting of a sensing control parameter. The medical device is configured to classify each value of the feature of each one of the sensed cardiac events as either a predicted sensed event or a predicted undersensed event according to a second setting of the sensing control parameter that is less sensitive to sensing cardiac events than the first setting. The medical device is configured to determine a predicted sensed event interval between each consecutive pair of the predicted sensed events and predict that an arrhythmia is detected or not detected based on the predicted sensed event intervals.
SIMPLE CONTROL OF COMPLEX BIO-IMPLANTS
Methods and devices for tying management of an implantable medical device to the activities of a primary care physician are described, including access control, simplified parameter optimization, support for tuning a device in response to the effects of other treatments in parallel, and support for helping a primary physician and a patient work together to tune device configuration to the activity and performance needs of the patient. In some embodiments, a medical device is self-configuring in a device parameter domain, based on inputs provided in a patient performance domain. The self-configuring of the medical device is based, for example, on an automatically applied transformation of inputs derived from patient performance domain observations into changes in the configuration of the medical device which affect technical parameters of its operation.
Remote Physiological Monitor
A system comprising a remotely programmable micromonitor with a wireless sensing system-on-module (SOM), one or more sensors to detect one or more conditions in a subject by monitoring one or more parameters associated with the conditions by comparing any monitored parameter to a baseline measurement of the monitored parameter from the subject, a plurality of sensors corresponding to a monitored parameter and connected to the micromonitor to convey measurements of all monitored parameters, the sensors including at least one of a non-optical pulse wave sensor or an electrocardiogram (ECG) sensor, a communications module capable of communicating with a wireless technology, wherein the module can send an alert signal to the subject or an attending physician or a remote service center or any other subject, and one or more algorithms for monitoring conditions and/or for predicting conditions, including at least one of a fall detection or fall prediction algorithm.
Systems and methods to identify the inability to exercise to desired capacity
The current technology is relevant to a system having a programming device capable of communication with an implantable medical device, where the programming device is configured to identify a patient condition comprising the patient's inability to exercise to a desired capacity, configured to notify a clinical user of the identified condition and configured to identify a therapy appropriate for the identified condition.
Movement disorder therapy system, devices and methods, and intelligent methods of tuning
The present invention relates to methods for tuning treatment parameters in movement disorder therapy systems. The present invention further relates to a system for screening patients to determine viability as candidates for certain therapy modalities, such as deep brain stimulation (DBS). The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of tuning a therapy device using objective quantified movement disorder symptom data acquired by a movement disorder diagnostic device to determine the therapy setting or parameters to be provided to the subject via his or her therapy device. The present invention also provides treatment and tuning remotely, allowing for home monitoring of subjects.
Environment and use monitoring system for advanced life support devices
A data collection device (100) is described which monitors the environmental conditions and the operations of a medical device (10). The data collection device may be arranged to communicate wirelessly via a cloud computing environment with a central computer (210). The central computer compares the reported use data with a preventive maintenance model to predict when or how the medical device will fail. In addition, the central computer may integrate reports from many data collection devices operating in various environments for the purpose of analyzing and improving the predictive maintenance model.
PROXIMITY BASED PROCESSING SYSTEMS AND METHODS
An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire data descriptive of a patient, a memory, a user interface, and at least one processor coupled with the memory, the at least one sensor, and the user interface. The at least one processor is configured to determine whether the ambulatory medical device is within a predefined range of a reference location and to initiate location-specific processing in response to determining that the ambulatory medical device is within the predefined range. The location-specific processing includes at least one of issuing a notification and adapting the user interface.
Medical System Comprising an Active Implantable Medical Device and Method for Operation of the Same
Medical system and method for operation of an active implantable medical device (IMD) and an extracorporeal device attached to a patient's skin, comprising: determining data regarding a bodily parameter of the patient by the IMD, processing the determined data and detecting a condition from a plurality of predefined conditions based on the determined data, periodically sending an intra-body communication signal representing the detected condition by the IMD to the extracorporeal device, receiving the intra-body communication signal by the extracorporeal device, providing a predefined notification signal by the extracorporeal device to the patient to motivate the patient to perform a predefined action based on the received intra-body communication signal, sending a termination signal by the extracorporeal device to the IMD, and receiving the termination signal by the IMD and subsequently terminating sending the intra-body communication signal which was initiated by the previously detected condition.