A device, an electrode and method for recording a multi-channel-ECG. The device includes a housing; a processor configured to record a multi-channel-ECG; at least two electrodes that can be operatively connected with the processor; and a connection module configured to connect the at least two electrodes and/or processor with a data processing element. The device is configured to be handheld.

A bio-signal measuring apparatus includes a sensing apparatus configured to sense electrocardiogram data representing an electrical change according to a pulse of an object and sense heart sound data according to the pulse and a processing apparatus configured to store the electrocardiogram data in a memory. The processing apparatus is further configured to analyze the electrocardiogram data to determine whether or not an abnormal signal is generated in the electrocardiogram data, when the abnormal signal is detected to be generated in the electrocardiogram data, generate a storage control signal for heart sound data associated with the abnormal signal in an abnormal signal section including the abnormal signal, and store the associated heart sound data in the abnormal signal section of the memory in response to the storage control signal.

A bio-signal measuring apparatus includes a sensing apparatus configured to sense electrocardiogram data representing an electrical change according to a pulse of an object and sense heart sound data according to the pulse and a processing apparatus configured to store the electrocardiogram data in a memory. The processing apparatus is further configured to analyze the electrocardiogram data to determine whether or not an abnormal signal is generated in the electrocardiogram data, when the abnormal signal is detected to be generated in the electrocardiogram data, generate a storage control signal for heart sound data associated with the abnormal signal in an abnormal signal section including the abnormal signal, and store the associated heart sound data in the abnormal signal section of the memory in response to the storage control signal.

A system and method for performing an electrocardiogram is described herein. The system may include one or more of an electrode strip, a data recorder, a connector, one or more computing platforms, and/or other components. The electrode strip may include multiple electrodes configured to provide signals conveying information associated with electrocardiograms. The multiple electrodes may be integrated into the electrode strip. The data recorder may be configured to receive and record information associated with electrocardiograms. Information associated with electrocardiograms may be communicated from the electrode strip to the data recorder via a connector. The connector may include a cableless connector. In some implementations, the information associated with electrocardiograms may be transmitted to one or more computing platforms.

A system and method for performing an electrocardiogram is described herein. The system may include one or more of an electrode strip, a data recorder, a connector, one or more computing platforms, and/or other components. The electrode strip may include multiple electrodes configured to provide signals conveying information associated with electrocardiograms. The multiple electrodes may be integrated into the electrode strip. The data recorder may be configured to receive and record information associated with electrocardiograms. Information associated with electrocardiograms may be communicated from the electrode strip to the data recorder via a connector. The connector may include a cableless connector. In some implementations, the information associated with electrocardiograms may be transmitted to one or more computing platforms.

Described herein are methods, devices, and systems that identify ventricular sensed (VS) events from a signal indicative of cardiac electrical activity, such a far-field EGM or ECG signal, and monitor for an arrythmia and/or perform arrythmia discrimination based on the VS events. Beneficially, such embodiments reduce the probability of double-counting of R-wave, or more generally, of oversensing VS events, and thereby provide for improved arrythmia detection and arrythmia discrimination.

Described herein are methods, devices, and systems that identify ventricular sensed (VS) events from a signal indicative of cardiac electrical activity, such a far-field EGM or ECG signal, and monitor for an arrythmia and/or perform arrythmia discrimination based on the VS events. Beneficially, such embodiments reduce the probability of double-counting of R-wave, or more generally, of oversensing VS events, and thereby provide for improved arrythmia detection and arrythmia discrimination.

The disclosure relates to a device and method of obtaining an electrocardiogram for a subject. The method comprises receiving electrical signals from at least two head-mounted sensors; and analysing said electrical signals to resolve shape and timing information for each of the P-, Q-, R-, S-, and T-waves available for the subject over a number of cardiac cycles, to derive a composite electrocardiogram, ECG, in which the composite electrocardiogram is derived using signals only from said head-mounted sensors.

The disclosure relates to a device and method of obtaining an electrocardiogram for a subject. The method comprises receiving electrical signals from at least two head-mounted sensors; and analysing said electrical signals to resolve shape and timing information for each of the P-, Q-, R-, S-, and T-waves available for the subject over a number of cardiac cycles, to derive a composite electrocardiogram, ECG, in which the composite electrocardiogram is derived using signals only from said head-mounted sensors.

A method for analyzing arrhythmia in real time and an electrocardiogram monitoring device is disclosed. The method for analyzing arrhythmia in real time includes: acquiring a QRS template set currently used for arrhythmia analysis; determining whether each QRS template in the QRS template set is reliable; displaying information of a QRS template when the QRS template set contains an unreliable QRS template; determining the QRS template set according to an operation performed by a user on the information of the QRS template; and acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by using a determined QRS template set, and outputting an arrhythmia analysis result of the real-time electrocardiogram data in real time. The method for analyzing arrhythmia in real time may achieve the correction of a template of a special waveform by means of editing a currently created QRS template. When the same type of waveform is analyzed again, a correct arrhythmia analysis result may be provided, which may improve the accuracy of arrhythmia analysis and improve the quality of electrocardiogram monitoring.