A method of generating a cardiac electrophysiology map includes receiving a reference biological signal and an electrical signal indicative of electrical activity at a location on a patient's heart. Using a graphical user interface, a practitioner designates at least two trigger point icons, one upward-pointing and one downward-pointing, on a graphical representation of the reference biological signal (e.g., a waveform). By pairing one upward-pointing icon with one downward-pointing icon, a plurality of triggering criteria are defined. Electrophysiology data points are captured and/or added to the electrophysiology map when the triggering criteria are satisfied.

Methods, apparatuses and wearable devices for measuring an ECG signal for a user wearing a wearable device includes when the ECG signal is measured in a first mode, receiving the ECG signal by an ECG sensor from a closed circuit formed by a first ECG sensor electrode and a second ECG sensor electrode, in which the wearable device includes a main body detachable to the wearable device, a connecting portion, and electrode patches, and the main body includes the ECG sensor, the first ECG sensor electrode, and the second ECG sensor electrode, and when the ECG signal is measured in a second mode, receiving the ECG signal by the ECG sensor from a closed circuit formed by electrodes of the electrode patches, in which the ECG sensor is in the main body and the main body is connected to the electrode patches.

Methods and system are provided that identify motion data associated with consistent electrical and mechanical behavior for a region of interest of the heart. The methods and systems acquire electrical cardiac signals indicative of physiologic behavior of at least a portion of the heart over a plurality of cardiac cycles. The methods and systems acquires motion data indicative of mechanical behavior of a motion sensor over the plurality of cardiac cycles to form a motion data collection, the motion data indicative of mechanical behavior of the region of interest when the motion sensor is in contact with the region of interest. The designating ectopic beats within the cardiac cycles may be based on the electrical cardiac signals, the ectopic beats producing electrically inconsistent (EI) data within the motion data collection. The methods and systems identify mechanically inconsistent (MI) data within the motion data collection based on irregular changes in the motion data. The methods and systems remove at least a portion of the EI and MI data from the motion data collection based on the designating and identifying operations to form an electrically/mechanically consistent (EMC) motion data collection.

An example method includes analyzing morphology and/or amplitude of each of a plurality of electrophysiological signals across a surface of a patient's body to identify candidate segments of each signal satisfying predetermined conduction pattern criteria. The method also includes determining a conduction timing parameter for each candidate segment in each of the electrophysiological signals.

Methods, systems, and devices for signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In some examples, captured data including detected events is analyzed to identify likely overdetection of cardiac events. In some illustrative examples, when overdetection is identified, data may be modified to correct for overdetection, to reduce the impact of overdetection, or to ignore overdetected data. Several examples emphasize the use of morphology analysis using correlation to static templates and/or inter-event correlation analysis.

An automatic method of determining local activation time (LAT) from at least three multi-channel cardiac electrogram signals including a mapping channel and a plurality of reference channels. The method comprises (a) storing the cardiac channel signals, (b) using the mapping-channel signal and a first reference-channel signal to compute LAT values at a plurality of mapping-channel locations, (c) monitoring the timing stability of the first reference-channel signal, and (d) if the timing stability of the monitored signal falls below a stability standard, using the signal of a second reference channel to determine LAT values. Substantial loss of LAT values is avoided in spite of loss of timing stability.

This disclosure is directed to devices, systems, and techniques for identifying a respiration rate based on an impedance signal. In some examples, a medical device system includes a medical device including a plurality of electrodes. The medical device is configured to perform, using the plurality of electrodes, an impedance measurement to collect a set of impedance values, where the set of impedance values is indicative of a respiration pattern of a patient. Additionally, the medical device system includes processing circuitry configured to identify a set of positive zero crossings based on the set of impedance values, identify a set of negative zero crossings based on the set of impedance values, and determine, for the impedance measurement, a value of a respiration metric using both the set of negative zero crossings and the set of positive zero crossings.

Individuals who suffer from certain kinds of medical conditions, particularly conditions that only sporadically exhibit measurable symptoms, can feel helpless in their attempts to secure access to medical care because, at least in part, they are left to the mercy of their condition to present symptoms at the right time to allow diagnosis and treatment. Providing these individuals with ambulatory extended-wear health monitors that record ECG and physiology, preferably available over-the-counter and without health insurance preauthorization, is a first step towards addressing their needs. In addition, these individuals need a way to gain entry into the health care system once a medically-actionable medical condition has been identified. Here, the ECG and physiology is downloaded and evaluated post-monitoring against medical diagnostic criteria. Medical specialists are pre-identified and paired up with key diagnostic findings, such that an individual whose monitoring data indicates a medical concern will be automatically referred and treated.

A self-inflating personal flotation device (SIPFD) configured to be worn by a wearer and aid the wearer automatically. The SIPFD may communicate with a global communication network and pressurized gas cartridge assembly based on a triggering event. The SIPFD may have a wearable data transmitter of a heartbeat device; a water depth device; and a geolocation device. The SIPFD may have a neck inflation device and a torso inflation device both connected to the pressurized gas cartridge assembly to enable the pressurized gas cartridge to inflate the neck and torso inflation devices when prompted. The prompt may be automatic or on request and be performed using an actuator mechanically communicating with the pressurized gas cartridge assembly to: (i) inflate the neck and torso inflation devices; and (ii) deflate the neck and torso inflation devices associated with a wearer.

A method of detecting abnormal heartbeats includes providing a library of abnormal beat synthesis (ABS) filters, wherein each ABS filter corresponds to a specific cause of a cardiac problem. The method further includes obtaining an ECG of a normal heartbeat of a person and applying an ABS filter from the library of ABS filters to the ECG of the normal heartbeat of the person to generate a potential abnormal ECG. The method further includes monitoring a heartbeat of the person and classifying each heartbeat as either normal or abnormal.