A medical device is utilized to monitor physiological parameters of a patient and capture segments of the monitored physiological parameters. The medical device includes circuitry configured to monitor one or more physiological parameters associated with the patient and an analysis module that includes a buffer and a processor. The buffer stores monitored physiological parameters and the processor analyzes the monitored physiological parameters and triggers capture of segments from the buffer in response to a triggering criteria being satisfied. The analysis module selects a pre-trigger duration based at least in part on the triggering criteria.

A system and method for ECG data classification for use in facilitating diagnosis of cardiac rhythm disorders is provided. ECG data is obtained via an electrocardiography monitor shaped for placement on a patient's chest. The ECG data is divided into segments and noise detection analysis is applied to the ECG data segments. A noise classification or a valid classification is assigned to each segment of the ECG data. At least one ECG data segment assigned the noise classification and that includes ECG data that corresponds with feedback from the patient via the electrocardiography monitor is identified. The ECG data that corresponds with the patient feedback is removed from the identified ECG data segment with the noise classification. The ECG data segments assigned the noise classification are removed from further analysis.

An electrocardiograph is disclosed. A first electrocardiograph measures a first electrocardiogram waveform with a potential of a first electrode being as a reference potential among a plurality of electrodes. A second electrocardiograph measures a second electrocardiogram waveform with a potential of a second electrode being as the reference potential among the plurality of electrodes. The first electrocardiograph and the second electrocardiograph are switched in a time sharing manner, and the first electrocardiogram waveform and the second electrocardiogram waveform are measured.

A system and method for representing quasi-periodic waveforms, for example, representing a plurality of limited decompositions of the quasi-periodic waveform. Each decomposition includes a first and second amplitude value and at least one time value. In some embodiments, each of the decompositions is phase adjusted such that the arithmetic sum of the plurality of limited decompositions reconstructs the quasi-periodic waveform. Data-structure attributes are created and used to reconstruct the quasi-periodic waveform. Features of the quasi-periodic wave are tracked using pattern-recognition techniques. The fundamental rate of the signal (e.g., heartbeat) can vary widely, for example by a factor of 2-3 or more from the lowest to highest frequency. To get quarter-phase representations of a component (e.g., lowest frequency rate component) that varies over time (by a factor of two to three) many overlapping filters use bandpass and overlap parameters that allow tracking the component's frequency version on changing quarter-phase basis.

A system (100) for monitoring and diagnosing heart conditions includes a sensor array (102) with accelerometers, an electrocardiogram sensor, and a system to synchronously capture and process (103, 105, or 106) composite heart signals. The system performs separation, identification and marking (201-205 or 501-509) of the signals, to extract information in cardiac vibrations. Machine learning, auditory scene analysis, or spare coding approaches can be used to resolve source separation problems. Analysis of the composite signals separates different vibration signals (302, 303, 304, 305), identifies streams for particular valve signal, and marks them with event time information with respect to a synchronous electrocardiogram signal (306). The psychoacoustic analysis mimics human auditory processing to enhance hearing of heart valve sounds by separating valve vibrations from the composite signal, and providing extraction, identification, marking and display of individual valve signals.

An adjustable leadwire device for connecting at least one surface electrode to a physiological monitor includes a length of insulated wire between a first attachment end and a second attachment end. The first attachment end includes a first connection means configured to conductively connect to the surface electrode and the second attachment end includes a second connection means configured to conductively connect to the physiological monitor. At least a portion of the length of insulated wire is coiled to form a helix. A sheath surrounds the helix and has a first end opening and a second opening. The sheath is configured such that coiled insulated wire is extendable out of at least one of the first end opening or the second end opening by pulling a respective one of the first attachment and the second attachment end in order to adjust a length of the adjustable leadwire device.

An adjustable ECG sensor is attachable to a patient to sense cardiac signals and includes an adjustable leadwire having a flexible substrate, a conductor extending along the flexible substrate, and a connector end connectable to a receiver associated with an ECG monitor. The adjustable ECG sensor further includes an electrode having an electrode pad, a clip connected to the electrode pad and attachable to any one of multiple locations on the adjustable leadwire, and a pin that punctures the flexible substrate and electrically connects to the conductor of the adjustable leadwire. The adjustable ECG sensor is fitted to the patient by attaching the clip of the electrode to one of the multiple locations on the adjustable leadwire.

A system for providing information about a patient's heart includes one or more electrodes that receive signals from electrical activity of the heart over one or more heart beat cycles. The system is characterized by an electronic processor coupled to the one or more electrodes to: receive the signals from the one or more electrodes; execute an automated set-up routine that processes the signals to automatically provide at least some set-up results for new mapping configurations; and/or process the signals with beat detection and beat acceptance criteria for new or existing mapping configurations to provide information about how well the signals match one or more of the new or existing mapping configurations.

An implantable device for monitoring of a patient's electrocardiogram, has a detection element for determining electrocardiogram signals of a heart of the patient. The signals are indicative of the electrocardiogram of the patient. The implantable device includes a processor that is configured to determine from the signals at least one parameter of the electrocardiogram. The at least one parameter is an R:S ratio defined as the ratio between the absolute value of the R complex and the absolute value of the S complex.

Disclosed systems include mobile ECG sensors, systems and methods. Some embodiments provide ECG sensors in a credit card form factor that allows a user to contact two electrically isolated electrodes to measure heart electrical signals for a Lead I ECG.