In one embodiment, a medical procedure system includes a probe for insertion into a chamber of a heart of a living subject, and including a first electrode to apply a sequence of pacing pulses at a position in the chamber, a second electrode to sense an electrical activation signal responsively to electrical activations induced by capture of the pacing pulses in a myocardium of the chamber, a display, and processing circuitry to evaluate a successful acquisition by the second electrode of the induced electrical activations responsively to the electrical activation signal, the successful acquisition being indicative of a successful capture of the pacing pulses by the myocardium, compute a capture grade responsively to the evaluation of the successful acquisition of the induced electrical activations, the capture grade being indicative of a count of the induced electrical activations evaluated as being successfully acquired, and render the capture grade to the display.

In one embodiment, a medical procedure system includes a probe for insertion into a chamber of a heart of a living subject, and including a first electrode to apply a sequence of pacing pulses at a position in the chamber, a second electrode to sense an electrical activation signal responsively to electrical activations induced by capture of the pacing pulses in a myocardium of the chamber, a display, and processing circuitry to evaluate a successful acquisition by the second electrode of the induced electrical activations responsively to the electrical activation signal, the successful acquisition being indicative of a successful capture of the pacing pulses by the myocardium, compute a capture grade responsively to the evaluation of the successful acquisition of the induced electrical activations, the capture grade being indicative of a count of the induced electrical activations evaluated as being successfully acquired, and render the capture grade to the display.

Systems and methods for electrocardiographic waveform analysis, data presentation and actionable alert generation are described. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis of at least a portion of the electrocardiographic waveform data can be performed to provide cardiac analytics. In instances where (1) a pathologically prolonged QT interval and (2) an R on T premature ventricular contraction and/or a ventricular tachycardia are detected from the cardiac analytics of the at least a portion of the electrocardiographic waveform data, an actionable alert can be generated and displayed with a visualization of the cardiac analytics.

Systems and methods for electrocardiographic waveform analysis, data presentation and actionable alert generation are described. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis of at least a portion of the electrocardiographic waveform data can be performed to provide cardiac analytics. In instances where (1) a pathologically prolonged QT interval and (2) an R on T premature ventricular contraction and/or a ventricular tachycardia are detected from the cardiac analytics of the at least a portion of the electrocardiographic waveform data, an actionable alert can be generated and displayed with a visualization of the cardiac analytics.

An apparatus for estimating bio-information includes a pulse wave sensor configured to measure a pulse wave signal from an object, for a predetermined period of time, a processor configured to extract DC components of the pulse wave signal measured for the predetermined period of time, normalize the extracted DC components, based on at least one of the extracted DC components of the pulse wave signal measured at a time when a reference force is applied by the object to the pulse wave sensor, and estimate the bio-information, based on the normalized DC components.

An apparatus for estimating bio-information includes a pulse wave sensor configured to measure a pulse wave signal from an object, for a predetermined period of time, a processor configured to extract DC components of the pulse wave signal measured for the predetermined period of time, normalize the extracted DC components, based on at least one of the extracted DC components of the pulse wave signal measured at a time when a reference force is applied by the object to the pulse wave sensor, and estimate the bio-information, based on the normalized DC components.

Techniques and devices for implementing the techniques for adjusting atrial arrhythmia detection based on analysis of one or more P-wave sensing windows associated with one or more R-waves. An implantable medical device may determine signal characteristics of the cardiac signal within the P-wave sensing window, determine whether the cardiac signal within the sensing window corresponds to a P-wave based on the determined signal characteristics, determine a signal to noise ratio of the cardiac signal within the sensing window, update the arrhythmia score when the P-wave is identified in the sensing window and the determined signal to noise ratio satisfies a signal to noise threshold.

Techniques and devices for implementing the techniques for adjusting atrial arrhythmia detection based on analysis of one or more P-wave sensing windows associated with one or more R-waves. An implantable medical device may determine signal characteristics of the cardiac signal within the P-wave sensing window, determine whether the cardiac signal within the sensing window corresponds to a P-wave based on the determined signal characteristics, determine a signal to noise ratio of the cardiac signal within the sensing window, update the arrhythmia score when the P-wave is identified in the sensing window and the determined signal to noise ratio satisfies a signal to noise threshold.

An ambulatory medical device including a plurality of sensing electrodes and one or more processors operably coupled to the plurality of sensing electrodes is provided. Each sensing electrodes is configured to be coupled eternally to a patient and to detect one or more ECG signals. The one or more processors are configured to receive at least one electrode-specific digital signal for each of the plurality of sensing electrodes, determine a noise component for each of the electrode-specific digital signals, analyze each of the noise components for each of the plurality of sensing electrodes, generate electrode matching information for each sensing electrode of the plurality of sensing electrodes based upon analysis of each of the noise components, determine one or more sensing electrode pairs based upon the electrode matching information, and monitor each of the one or more sensing electrode pairs for ECG activity of the patient.

A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal, or use of model reduction schemes such as independent component analysis. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. Cardiac features that are determined from the cardiac signal can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.