A method and system for R-R interval measurement of a user are disclosed. In a first aspect, the method comprises detecting an electrocardiogram (ECG) signal of the user. The method includes performing QRS peak detection on the ECG signal to obtain a low resolution peak and searching near the low resolution peak for a high resolution peak. The method includes calculating the R-R interval measurement based upon the high resolution peak. In a second aspect, a wireless sensor device comprises a processor and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to carry out the steps of the method.

Techniques, systems, and products for analyzing sparse indicators and sensor data and generating communications are disclosed. The sensors may be associated with or incorporated into devices that may automatically relay sensor data for use in analyses and communication generation.

An example method includes performing amplitude-based detection to determine location of R-peaks for a plurality of electrograms. The method also includes performing wavelet-based detection to determine location of R-peaks for the plurality of electrograms. The method also includes adjusting the location of the R-peaks determined by the wavelet-based detection of R-peaks based on the location of R-peaks determined by the amplitude-based detection of R-peaks. The method also includes storing, in memory, R-peak location data to specify R-peak locations for the plurality of electrograms based on the adjusting.

A system for detecting valvular malfunction includes a monitoring device and a processor. The monitoring device includes a heart sound sensor configured to detect heart sounds of the patient, and a signal processor. The processor is configured to receive a signal representative of the detected heart sounds from the signal processor, wherein the processor is configured to compare the signal to a baseline signal stored in memory. The processor may be part of the monitoring device or may be part of an external device, or both.

A heartbeat detection device includes a peak search unit (4) for searching for one of a peak at which a value M obtained from a sampling data sequence of an electrocardiographic waveform of a living body changes from an increase to a decrease and a peak at which the value M changes from a decrease to an increase, and a heartbeat time determination unit (5) for checking the value M in a predetermined time domain before a time of the peak and the value M in a predetermined time domain after the time of the peak, and setting the time of the peak as a heartbeat time if differences between the value M at the time of the peak and the values M in the predetermined time domains are not smaller than a predetermined amount.

A method includes receiving bio-potential inputs; generating signal channels from the bio-potential inputs; pre-processing data in the signal channels; extracting R-wave peaks from the pre-processed data; removing artifacts and outliers from the R-wave peaks; generating R-wave signal channels based on the R-wave peaks in the pre-processed signal channels; selecting two or more of the R-wave signal channels; and combining the selected two or more R-wave signal channels to produce an electrical uterine monitoring signal.

Two biomarkers are provided for obstructive apnea. A first biomarker determines amplitude and timing of inspiratory efforts from a bioelectric signal. The respiratory rate is compared with a normal pre-detection rate, and the amplitude of the effort is compared with a normal amplitude. The obstructive apnea is likely present if a series of inspiratory efforts are above a normal amplitude and with increasing amplitude, but at a normal rate. A second biomarker determines heart rate and respiratory rate. A normal lower threshold for heartbeat interval is established, and if subthreshold events occur (short RR intervals), a commencement time for each sequence of subthreshold events is compared for a respiratory rate-normalized window. If the number of subthreshold events exceeds a minimum for the window, obstructive apnea is likely present.

A medical device is configured to deliver anti-tachycardia pacing (ATP) in the presence of T-wave alternans. The device is configured to detect a ventricular tachyarrhythmia from a cardiac electrical signal received by the medical device. In response to the detected ventricular tachyarrhythmia, the device delivers a plurality of ATP pulses at alternating time intervals. The alternating time intervals comprise at least a first ATP time interval separating a first pair of the ATP pulses and a second ATP time interval different than the first ATP time interval. The second ATP time interval consecutively follows the first ATP time interval and separates a second pair of the ATP pulses.

Systems, methods, devices, and techniques for estimating an ejection-fraction characteristic of a mammal. An electrocardiogram (ECG) procedure is performed on a mammal, and a computer system obtains ECG data that describes results of the ECG over a period of time. The system provides a predictive input that is based on the ECG data to an ejection-fraction predictive model, such as a neural network or other machine-learning model. In response, the ejection-fraction predictive model processes the input to generate an estimated ejection-fraction characteristic of the mammal. The system outputs the estimated ejection-fraction characteristic of the mammal for presentation to a user.

Methods, systems and devices for providing cardiac resynchronization therapy (CRT) to a patient using a leadless cardiac pacemaker and an extracardiac device. The extracardiac device is configured to analyze one or more QRS complexes of the patient's heart, determine whether fusion pacing is taking place, and, if not, to communicate with the leadless cardiac pacemaker to adjust intervals used in the CRT in order to generate desirable fusion of the pace and intrinsic signals. The extracardiac device may take the form of a subcutaneous implantable monitor, a subcutaneous implantable defibrillator, or other devices including wearable devices.