A computer implemented method and system for detecting premature ventricular contractions (PVCs) are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains a cycle length (CL) distribution metric that plots a series of cardiac beats into one of a set of transition types based on R-R interval (RRI) difference pairs associated with the cardiac beats. The CL distribution metric plots the cardiac beats based on a comparison between combinations of the RRI difference pairs for corresponding combinations of the cardiac beats. The method calculates a distribution characteristic for the cardiac beats, from the series of cardiac beats that exhibit a first transition type from the set of transition types and calculates a discrimination score based on the distribution characteristic of the cardiac beats across the CL distribution metric. The method designates the CA signals to include a predetermined level of PVC burden based on the discrimination score.

A method, implantable medical system and an external system for communicating an alert signal via a transcutaneous energy transfer system (TETS), with or without the presence of transmission of the alert signal by an alternative wireless communication system, are disclosed. According to one aspect, a method in an implanted medical system includes obtaining the alert signal based on an occurrence of an event, and transmitting the alert signal from the implanted medical device to the external system via a TETS used to transfer power requests to the external system.

A medical device and a manufacturing method for such medical device having an assembly comprising: an elongated solid housing with an outer surface and a maximum outer diameter, at least one electrical contact area at the outer surface of the housing, and a processor encapsulated within the housing,
wherein the method comprises the following steps: providing the assembly and a tube consisting of a plastic and electrically insulating material, wherein an inner diameter of the tube is greater than the maximum outer diameter (108) of the assembly, accommodating the assembly within the tube such that at least one electrical contact area of the assembly is not covered, and applying a shrinking step to the tube such that the shrunken tube is firmly attached to the outer surface of the housing.

The manufacturing method is cheaper and less time consuming than state-of-the-art methods, and also better suitable for automation.

Heart tissue electrical activity mapping used to guide the placement of devices to intervene in (treat) structural heart disease. In some embodiments, the intervention comprises placement of an implantable device, and/or positioning of a therapeutic device used to remove and/or remodel tissue. In some embodiments, electrical activity mapping is performed along with spatial mapping of a body cavity. In some embodiments, the intervention device position is compared to the measured positions of anatomical structures critical to heart electrical function to assess and/or prevent complications due to the device damaging heart electrical function.

A device and a method for acquiring brain electrical signal. The device for acquiring brain electrical signal includes a plurality of electrodes and an electrode base. The electrode base is provided with a plurality of screw holes, and each of the plurality of electrodes passes through a corresponding screw hole of the plurality of screw holes.

Systems and methods to monitor and track the treatment of bones using a bone correction system are provided. The method includes implanting growth modulating implants of a bone correction system in two or more bones of a patient. Each growth modulating implant includes an implant body having at least one sensor device embedded in the implant body. The method includes receiving sensor data from the sensor devices and determining an operational status of the growth modulating implants, based on the received sensor data. The method includes determining, by the processor, a longitudinal growth or growth rate between the two or more bones, based on the received sensor data and causing a display device to selectively display a graphical user interface (GUI) representative of at least one of the longitudinal growth and the growth rate of the patient.

A stimulation protocol determination system includes an input module and a selector module. The input module is provided to receive an indication of an upper airway flow limitation via sensed respiratory effort information. The selection module is provided to automatically select, based on the indicated upper airway flow limitation, a stimulation protocol.

Artifacts due to delivery of an electrical signal (e.g., for neural stimulation or nerve block) can be eliminated from neural recordings. An activating stimulus (AS) can be applied by at least one neural electrode located at a first position within a body or a preparation proximal to a neural structure. The AS includes an electrical waveform configured to affect (e.g., stimulate or block) conduction in the neural structure. A counter stimulus (CS) can be applied by at least one electrode located at a second position within the body or the preparation remote from the neural structure. The CS includes an electrical waveform configured with a timing parameter and an amplitude parameter selected based on a feature of the AS. Artifacts due to the AS can be blocked by the CS during the neural recordings.

A stimulation system includes an energy source, an electronics unit with a controller, and an actuator that is coupled with the electronics unit and/or the energy source. The actuator emits electromagnetic waves for stimulation of genetically manipulated tissue. The electronics unit is disposed in a housing. The stimulation system is configured for at least temporary implantation in a human or animal body. The controller controls the stimulation of tissue in the body by way of the electromagnetic waves emitted by the actuator. A selector of the stimulation system selects the area of the said tissue for stimulation. The selector includes a masking device for masking certain areas of the tissue, so that an intensity of the stimulation for the masked areas is reduced or equal to zero.

A system comprises processing circuitry and memory comprising program instructions that, when executed by the processing circuitry, cause the processing circuitry to: apply a first set of rules to first patient parameter data for a first determination of whether sudden cardiac arrest of a patient is detected; determine that a one or more context criteria of the first determination are satisfied; and in response to satisfaction of the context criteria, apply a second set of rules to second patient parameter data for a second determination of whether sudden cardiac arrest of the patient is detected. At least the second set of rules comprises a machine learning model, and the second patient parameter data comprises at least one patient parameter that is not included in the first patient parameter data.