Embodiments of a wearable cardioverter defibrillator (WCD) system are configured to monitor a patient's ECG for shockable arrhythmias and deliver a shock to the patient in response to such a detection. To monitor the patient's ECG with reduced signal noise to improve the system's performance, the system includes a cable assembly having: a signal line; an inner shield and an outer shield; an ECG electrode electrically connected to the signal line of the cable assembly; and an amplifier having first and second input nodes respectively connected to the signal line and the outer shield of the cable assembly. The amplifier's output node is electrically connected to the inner shield of the cable assembly to reduce the reactive load seen by the patient's heart in driving the ECG sensing circuitry, which reduces the noise on the ECG signal outputted by the amplifier.

Devices and methods for dynamically controlling sensitivity associated with detecting R-waves while maintaining the fixed detection threshold are described herein. One such method includes sensing an analog signal indicative of cardiac electrical activity, converting the analog signal indicative of cardiac electrical activity to a digital signal indicative of cardiac electrical activity, and detecting R-waves by comparing the digital signal indicative of cardiac electrical activity to a fixed detection threshold to thereby detect threshold crossings that corresponds to R-waves. The method further includes selectively adjusting a gain applied to the digital signal indicative of cardiac electrical activity to thereby selectively adjust a sensitivity associated with the detecting R-waves, while maintaining the fixed detection threshold.

In a medical device system, a computer apparatus is configured to receive body surface electrical signals from an electrode apparatus including multiple external electrodes. The computing apparatus generates electrical dyssynchrony data from the body surface electrical signals during delivery of His bundle pacing pulses and identifies effective His bundle capture based on the electrical dyssynchrony data. The computing apparatus generates an indication of His bundle capture in response to identifying the effective His bundle capture.

A method includes acquiring a bipolar signal from a first electrode and a second electrode contacting a first location and a second location, respectively, in a heart of a living subject. The method further includes acquiring a unipolar signal from the first electrode while in contact with the first location, and deriving from the bipolar signal and the unipolar signal a point in time at which the first location is generating the unipolar signal. The method also includes computing a metric for a conduction velocity of the unipolar signal at the first location based on a shape of the unipolar signal at the point in time.

Systems and methods for detecting an arrhythmic event and storing physiological information associated with the detected arrhythmic event are described. A system may include a first detector to detect an arrhythmic event from a physiological signal sensed from a subject, and generate a confidence indicator indicating a confidence level of the detection of the arrhythmic event. If the confidence indicator indicates a relatively high confidence of arrhythmia detection, the system may provide the detected arrhythmic event to a first process for storing the detected arrhythmic event or generating an alert. If the confidence indicator indicates a relatively low confidence of arrhythmia detection, the system may provide the detected arrhythmic event to at least a second process including confirming or rejecting the detected arrhythmic event.

A system and method for measuring and monitoring charge states of one or more electrodes of an implanted stimulation lead system associated with an IPG. A Kelvin connection scheme operative with a switching circuit is provided for coupling select electrode terminals disposed in a Kelvin connection measurement loop in a switchable manner to sense and reference inputs of an analog-to-digital converter (ADC) configured as at least part of diagnostic circuitry for the IPG.

There is provided a catheter for assessing cardiac function, the catheter comprising an elongate shaft extending from a proximal end to a distal end, where the shaft comprises a lumen for a guidewire and/or a saline flush. The catheter further comprises at least one electrode disposed on the shaft for sensing electrical signals in a bipolar or unipolar fashion and applying pacing to a patient's heart, at least one sensor disposed on the shaft for detecting an event relating to the rapid increase in the rate of pressure increase within the left ventricle of a patient; and communication means configured to transmit data received from the electrode(s) and the sensor(s).

The invention relates to an implantable sensor for detecting an electrical excitation of muscle cells, in particular cardiac muscle cells, wherein it is provided that the sensor comprises a dielectric component and a contact point for contacting muscle cells, which is connected to the dielectric component, so that an electric field in the dielectric component, and correspondingly a capacitance of the dielectric component, change with an electrical excitation of the muscle cells. The invention furthermore relates to a system comprising a sensor and an implant.

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine a previous RR interval of the cardiac signal and a current RR interval of the cardiac signal based on the determined R-wave. The processing circuitry is further configured to determine a search window based on one or more of the current RR interval or the previous RR interval, determine a T-wave of the cardiac signal in the search window, and determine a QT interval based on the determined T-wave and the determined R-wave.

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.