The invention relates to the system and method of remote ECG monitoring, remote disease screening, and early-warning system based on wavelet analysis. The system includes a wireless ECG signal acquisition device, a mobile terminal, and a cloud storage platform. The wireless ECG signal acquisition device worn on the user's chest is used to collect ECG signals anywhere and anytime. The method includes transmitting the ECG signals to the mobile terminal using the wavelet analysis algorithm, analyzing and processing the received ECG signal, and uploading the processed ECG signals to the cloud storage platform. The cloud storage platform stores users' personal information and ECG signals. According to the ECG features detection with support vector machine learning algorithm for heart diseases diagnosis and features classification, the system gives feedback report and proposal, and transmits them to the mobile terminal.

Cardiac electrograms are recorded in a plurality of channels. Beats are classified automatically into respective classifications according to a resemblance of the morphologic characteristics of the beats to members of a set of templates. Respective electroanatomic maps of the heart are generated from the classified beats.

In one embodiment, an ECG monitoring system includes two or more electrodes configured to record cardiac potentials from a patient, at least one processor, and a rapid acquisition module executable on the at least one processor to: determine that an impedance of each electrode is less than an impedance threshold; record initial ECG lead data based on the cardiac potentials; determine that a noise level in each ECG lead of the initial ECG data is less than a noise threshold; start a recording timer once the noise level is below the noise threshold; record an ECG dataset while the noise level is maintained below the noise threshold until the recording timer reaches a predetermined test duration; store the ECG dataset and provide a completion alert.

An animated electrophysiology map is generated from a plurality of data points, each including measured electrophysiology information, location information, and timing information. The electrophysiology and location information can be used to generate the electrophysiology map, such as a local activation time, peak-to-peak voltage, or fractionation map. Animated timing markers can be superimposed upon the electrophysiology map using the electrophysiology, location, and timing information. For example a series of frames can be displayed sequentially, each including a static image of the electrophysiology map at a point in time and timing markers corresponding to the state or position of an activation wavefront at the point in time superimposed thereon. The visibility or opacity of the timing markers can be adjusted from frame to frame, dependent upon a distance between the timing marker and the activation wavefront, to give the illusion that the timing markers are moving along the electrophysiology map.

Intracardiac electrograms are recorded using a multi-electrode catheter and respective annotations established. Within a time window a pattern comprising a monotonically increasing local activation time sequence from a set of electrograms from neighboring electrodes is detected. The set is reordered and displayed for the operator.

A non-invasive sensor unit, such as a glove or pad, is adapted to be placed over the chest of an injured person who may be in need of CPR and/or AED. The sensor unit includes a plurality of electrodes for detecting one or more ECG voltages of the person. A controller processes the ECG voltages and displays them on a display, thereby enabling the user to assess whether CPR and/or AED is needed. The sensor unit is adapted to continue to provide ECG data while the user is applying chest compressions to the person. The sensor unit may include accelerometers for reducing artifacts from the ECG voltages that arise from the movement of the user while applying chest compressions. The electrodes are, in some embodiments, capacitive sensors that enable ECG voltages to be detected without requiring direct contact with the skin of the person.

A method of displaying electrocardiograms comprises displaying a reference electrocardiogram; and displaying a measured electrocardiogram so that the reference electrocardiogram and the measured electrocardiogram are displayed in an overlapping state.

Described herein are methods, apparatuses, and systems for heart monitoring of a patient. The heart monitoring system can be used to take an electrocardiogram (ECG) using only two electrodes. A handheld device can be used to sequentially measure the electrical signal between different positions on a patient's body. The electrical signals can be processed and analyzed to prepare an ECG for the patient, including a 12-lead ECG.

A device for measuring and recording body functions can include a first patch and a second patch. The first patch be applied to a user and include an electrocardiogram (“EKG”) sensor and a first communication circuit. The EKG sensor can be for recording electrical activity data of a heart of the user. The first communication circuit can be communicatively coupled to the EKG sensors for transmitting the electrical activity data. The second patch can be communicatively coupled to the first patch and include a processing device and a second communication circuit. The processing device can be for performing an analysis of the electrical activity data. The second communication circuit can be communicatively coupled to the first communication circuit for receiving the electrical activity data and communicatively coupled to the processing device for transmitting the analysis to a second device.

The present disclosure discloses a device, system and method for testing cardiac exercise functions. Chronotropic Competence Indices (CCIs) are proposed to quantitatively describe the adaptation capability of cardiopulmonary system in response to exercise intensity variation in terms of heart rate changes, and thereby describes the dynamic process of the heart in the body metabolic process. The present disclosure discloses a device which measures the CCIs in real time by using the wearable technology, and referred to as Cardiac Exercise Test (CET). Compared with the Cardiopulmonary Exercise Testing (CPX) and parameters measured by the CPX such as a maximum oxygen uptake, the CCIs have clear clinical meanings and specific normal reference values; and the CET reduces the risk of the test. It is simple to use, and can be used anytime anywhere. It is of great importance in wide clinical applications, and is of great significance in prevention and rehabilitation of cardiopulmonary disease.