Patent classifications
A61N1/37282
MEDICAL DEVICE WITH ACOUSTIC SENSOR
In at least one example, a medical device is provided. The medical device includes at least one therapy electrode, at least one electrocardiogram (ECG) electrode, at least one acoustic sensor, and at least one processor coupled with the at least one acoustic sensor, the at least one ECG electrode, and the at least one therapy electrode. The at least one processor can receive at least one acoustic signal from the at least one acoustic sensor, receive at least one electrode signal from the ECG electrode, detect at least one unverified cardiopulmonary anomaly using the at least one electrode signal, and verify the at least one unverified cardiopulmonary anomaly with reference to data descriptive of the at least one acoustic signal.
SENSOR-BASED PHRENIC NERVE STIMULATION DETECTION
A method and device for detecting phrenic nerve stimulation (PNS) in, or using, a cardiac medical device. A test signal sensitive to contraction of a diaphragm of a patient may be sensed and signal artifacts of the test signal within each of a first window of the test signal prior to a predetermined cardiac signal and a second window of the test signal subsequent to the predetermined cardiac signal may be determined. The PNS beat criteria may be evaluated, for example, using the test signal, which may be a heart sounds signal.
IMPLANTABLE MEDICAL DEVICE WHICH MAY BE CONTROLLED FROM CENTRAL STATION
An implantable electrical stimulating device and system provides for a remote determination of the identity of the person in whom the stimulating device is implanted. The stimulating device may be a pacemaker, a defibrillator, another medical device or a non-medical device. The bases for the remote identification are (1) the comingling of (A) biologic identification information of the person linked to the stimulating device, and (B) information pertaining to a physiologic parameter (e.g. heart rate information) of that person, and (2) the modulation of the physiologic parameter by external information. Embodiments of the invention in which the stimulating device is external to the person are possible. By utilizing the apparatus providing for the remote identification of a person plus stimulating device, one aspect of secure communication—that based on reliable mutual identification of each participant in a communication—is achieved.
Implantable medical device with offline programming limitations and related methods of operations
In one embodiment, a method of programming an implantable medical device (IMD) to provide therapeutic operations for a patient, comprises: receiving first programming data by the IMD from the external programming device to provide therapeutic operations according to at least one instance of settings data during a first communication session; receiving second programming data by the IMD from the external programming device to define limitations of reprogramming during one or more subsequent offline programming sessions; conducting a second communication session between the IMD with an external programming device when network connectivity is not available; receiving third programming data by IMD from the external programming device to provide therapeutic operations according to at least one instance of settings data during the second communication session; and determining whether the third programming data is permitted according to limitations defined by the second programming data.
BEAM FAILURE DETECTION AND RECOVERY WITH CARRIER AGGREGATION
This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, for wireless communication. In one aspect of the disclosure, a user equipment (UE) detects a beam failure of a first beam for a first component carrier (CC) based on a link quality associated with the first beam for the first CC. The first CC and a second CC are within a same group of CCs. The UE initiates one or more beam failure recovery operations associated with any CC within the same group of CCs as the first and second CCs based on a determination of a beam failure of a second beam for the second CC. The determination is based on the detection of the beam failure for the first CC and based on the first CC and the second CC being within the same group of CCs.
Neuromodulation therapy monitoring and continuous therapy reprogramming
Methods and systems are provided for updating neuromodulation-therapy algorithms. Sensor data may be received from a subject monitoring device that includes one or more sensors. A state of the subject within a directed-cyclic state diagram may be retrieved along with a current neuromodulation-therapy algorithm that corresponds to the state. Based on the sensor data and the current neuromodulation-therapy algorithm, a new state of the subject may be determined, the new state including an update to the current neuromodulation-therapy algorithm for the subject. In response to determining the new state, a wireless transmission that includes an identification of the new state and the update neuromodulation-therapy algorithm may be initiated to the implant device associated with the subject.
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.
Medical device with acoustic sensor
In at least one example, a medical device is provided. The medical device includes at least one therapy electrode, at least one electrocardiogram (ECG) electrode, at least one acoustic sensor, and at least one processor coupled with the at least one acoustic sensor, the at least one ECG electrode, and the at least one therapy electrode. The at least one processor can receive at least one acoustic signal from the at least one acoustic sensor, receive at least one electrode signal from the ECG electrode, detect at least one unverified cardiopulmonary anomaly using the at least one electrode signal, and verify the at least one unverified cardiopulmonary anomaly with reference to data descriptive of the at least one acoustic signal.
COMPACT MUSCLE STIMULATOR
Systems, methods, and devices are provided herein providing electrical muscle stimulation (EMS). In some instances, an EMS device may be provided. The EMS device may be compact, light, and unobtrusive such that it can be used by a person going about his or her daily activities. In some instances, the EMS device may comprise additional sensors for increased functionality and may be capable of interacting with additional devices or platforms to provide a full-fledged EMS device capability.
DATA LABELING SYSTEM AND METHOD OPERATIVE WITH PATIENT AND CLINICIAN CONTROLLER DEVICES DISPOSED IN A REMOTE CARE ARCHITECTURE
A system and method for facilitating remote care management involving a patient having an implantable medical device (IMD). Upon establishing a remote care session between a patient controller device and a clinician programmer, wherein the clinician and the patient are remotely located with respect to each other, input from the patient or the clinician may be received via a user interface control associated with a particular functionality or aspect of the remote care session, including audiovisual (AV) communications, remote therapy programming, and related context. Responsive to the user input, a dialog interface is effectuated at one of the patient controller device and/or the clinician programmer. A user characterization label is received via the dialog interface from the user, wherein the user characterization label is indicative of a subjective assessment of the particular functionality of the remote care session, which may be used in generating user-labeled data pertaining thereto.