A sensor device and a method using the sensor device includes a portable device (110) configured to capture composite vibration objects from at least one sensor (102b) and further configured to communicate data to a wireless node (105) in some embodiments. The sensor device further includes at least one or more processors (103, 105, or 106) operatively coupled to the portable device and configured to separate and identify separated vibration sources and further configured to identify a plurality of individual heart vibration events (302, 303, 304, 305) from the composite vibration objects where the one or more processors is further configured to mark individual heart events from the plurality of individual heart vibration events. In some embodiments, the one or more processors marks and presents individual heart events from the plurality of individual heart vibration events.

Disclosed are devices, a systems, and methods for determining the dipole densities on heart walls. In particular, a triangularization of the heart wall is performed in which the dipole density of each of multiple regions correlate to the potential measured at various locations within the associated chamber of the heart.

A system and method for machine-learning based atrial fibrillation detection are provided. A database is maintained that is operable to maintain a plurality of ECG features and annotated patterns of the features. At least one server is configured to: train a classifier based on the annotated patterns in the database; receive a representation of an ECG signal recorded by an ambulatory monitor recorder during a plurality of temporal windows; detect a plurality of the ECG features in at least some of the portions of the representation falling within each of the temporal windows; use the trained classifier to identify patterns of the ECG features within one or more of the portions of the ECG signal; for each of the portions, calculate a score indicative of whether the portion of the representation within that ECG signal is associated the patient experiencing atrial fibrillation; and take an action based on the score.

Brugada syndrome and related forms of ion channelopathies, including ventricular asynchrony of contraction, originate in the region near the His bundle or para-Hisian regions of the heart. Manifestations of Brugada syndrome can be corrected by delivering endocardial electrical stimulation coincident to the activation wave front propagated from the atrioventricular (AV) node. By performing the start of the activation of the HIS bundle or para-Hisian region early enough, electrical stimulation can be delivered fast enough to compensate for the conduction problems that start in those region, such that the activation wave front, as stimulated, transitions from the AV node to the His bundle in a normal, albeit electrically-supplemented, fashion. This stimulation not only helps resolve the conditions that trigger Brugada syndrome, but also resolves the asynchrony of the contraction of the heart.

A wearable medical monitoring (WMM) system may be worn for a long time. Some embodiments of WMM systems are wearable cardioverter defibrillator (WCD) systems. In such systems, ECG electrodes sense an ECG signal of the patient, and store it over the long-term. The stored ECG signal can be analyzed for helping long-term heart rate monitoring of the patient. The heart rate monitoring can be assisted a) by special filtering techniques that remove short-term variations inherent in patients' short-term heart rate determinations, and b) by indication techniques that indicate when conditions hampered sensing of the ECG signal too much for a reliable heart rate determination.

In various examples, an apparatus includes an apparatus configured for implantation within a body of a patient. The apparatus, in some examples, includes a housing. At least one antenna extends from the housing, the antenna being flexible such that the antenna conforms to the body of the patient. In some examples, the apparatus includes at least three electrodes, wherein at least a first electrode is disposed on the antenna and at least a second electrode is disposed on the housing. The at least three electrodes are disposed in a non-linear configuration, allowing for differential processing of signals recorded by the at least three electrodes.

Monitoring heart activity using a wearable device, including receiving, from the wearable device, an electrocardiograph (ECG) signal and a motion signal associated with an individual upon contact with the wearable device; in response to receiving the ECG signal and the motion signal associated with the individual, determining, by a computing device, a position of the wearable device in contact with the individual; and determining, by the computing device, a heart activity monitoring mode for operating the wearable device, based on the position of the wearable device in contact with the individual.

An apparatus includes analog-to-digital conversion (ADC) circuitry, digital processing logic, and digital-to-analog conversion (DAC) circuitry. The ADC circuitry is coupled to digitize multiple analog input signals so as to generate digital samples. The digital processing logic is configured to extract, from the digital samples, one or more first digital signals corresponding to a first selected subset of the analog input signals, and one or more second digital signals corresponding to a second selected subset of the analog input signals. The digital processing logic is further configured to output the one or more first digital signals to a digital medical instrument. The DAC circuitry is coupled to convert the one or more second digital signal into one or more analog output signals, and to output the one or more analog output signals to an analog medical instrument.

In one embodiment of the invention, a non-invasive method of measuring blood pressure is disclosed. The method includes scanning for ECG data with a portable cuffless blood pressure measuring device including, forming an electronic circuit with a first electrode and a second electrode of the portable cuffless blood pressure measuring device by contacting the first electrode with a user's temple and contacting the second electrode with the user's finger holding the portable cuffless blood pressure measuring device; concurrently scanning for PPG data with the cuffless blood pressure measuring device during ECG scanning by placing the PPG sensor to the user's temple; cross-correlating the ECG data and the PPG data to determine a PWTT for the user; receiving one or more physiological data of the user; and using regression analysis to predict systolic blood pressure of the user in response to the PWTT and the one or more physiological data.

An extended wear electrocardiography patch is provided. An integrated flexible circuit includes a pair of circuit traces that each originate within one end. A pair of electrocardiographic electrodes are each electrically coupled to one of the circuit traces. A layer of adhesive is applied on a contact surface of the flexible circuit and includes an opening on each end. Conductive gel is provided in each of the openings of the adhesive layer and is in electrical contact with the electrocardiographic electrodes. A non-conductive receptacle is adhered on one end of an outward surface of the flexible circuit and is operable to removably receive an electrocardiography monitor. The non-conductive receptacle includes electrode terminals aligned to electrically interface the circuit traces to the electrocardiography monitor. A battery is affixed to the outward surface of the flexible circuit and electrically interfaced via battery leads to a pair of electrical pads.