A method for automatic determining of a state of a heart of a patient based on multiple-lead ECG information of the patient, the method includes (a) receiving the multiple-lead ECG information of the patient, by a computerized system; and (b) applying one or more machine learning processes on the multiple-lead ECG information of the patient to determine the state of a heart of the patient, wherein the state of the heart comprises at least one heart condition of multiple types of heart conditions. One, some or all of the one or more machine learning processes was trained using a dataset that comprises multiple computer generated images, the multiple computer generated images represent images acquired by an image acquisition process of ECG plots, wherein the ECG plots are generated based on digital multiple-lead ECG signals.

An emergency cardiac and electrocardiogram (ECG) electrode placement device is disclosed herein. The emergency cardiac and electrocardiogram (ECG) electrode placement device incorporates electrical conducting materials and elastic material into a pad that is applied to a chest wall of a patient, which places multiple electrodes in the appropriate anatomic locations on the patient to quickly obtain an ECG in a pre-hospital setting.

An emergency cardiac and electrocardiogram (ECG) electrode placement device is disclosed herein. The emergency cardiac and electrocardiogram (ECG) electrode placement device incorporates electrical conducting materials and elastic material into a pad that is applied to a chest wall of a patient, which places multiple electrodes in the appropriate anatomic locations on the patient to quickly obtain an ECG in a pre-hospital setting.

The disclosure relates to systems and methods of converting a representation of a physiological signal (e.g., a non-digitized version such as a printed curve) into a digitized representation of the physiological signal of a subject. For example, a printed electrocardiogram (ECG) may be digitized using the systems are methods provided herein. The method may include receiving a digitized image of a printed curve representing the physiological signal of the subject, and detecting at least one region of interest having a portion of the physiological signal. For each of the regions of interest, the method may include extracting coordinates representing the physiological signal and registering the extracted coordinates.

A diagnostic electrocardiogram (ECG) apparatus (20) is disclosed herein. The apparatus comprises a body and printed electrodes. The body (110) includes extension members (61-66), with each having an expansion section (61a) and at least one electrode section (61b). Each expansion section (61a) has at least one concertina member (75) and at least one connector member (76). The diagnostic ECG apparatus (20) conforms to American Heart Association guidelines on diagnostic resting ECGs.

The present disclosure lies in the general field of clinical electrocardiography (ECG), more specifically in ECG methods comprising precordial ECG amplitude measurements. The present invention relates to methods of determining a subject's corrected precordial ECG amplitude from an ECG measurement, which corrections are based on intraindividual changes such as the rotation position of the heart on the horizontal plane, and/or changes in body mass index. The methods are thus useful for adjustment of intraindividual changes over time in precordial ECG amplitudes, such as between two ECG measurements. The present invention further relates to a device, an apparatus and a computer program product, and to uses of said device, apparatus and computer program product in a method of determining a subject's corrected precordial ECG amplitude from an ECG measurement, and for improving the accuracy of electrocardiographic methods depending on precordial ECG amplitude measurements. For example, the methods and the device, apparatus or product can be advantageously used in a method of diagnosing left ventricular hypertrophy and/or hypertension in a subject.

The present disclosure lies in the general field of clinical electrocardiography (ECG), more specifically in ECG methods comprising precordial ECG amplitude measurements. The present invention relates to methods of determining a subject's corrected precordial ECG amplitude from an ECG measurement, which corrections are based on intraindividual changes such as the rotation position of the heart on the horizontal plane, and/or changes in body mass index. The methods are thus useful for adjustment of intraindividual changes over time in precordial ECG amplitudes, such as between two ECG measurements. The present invention further relates to a device, an apparatus and a computer program product, and to uses of said device, apparatus and computer program product in a method of determining a subject's corrected precordial ECG amplitude from an ECG measurement, and for improving the accuracy of electrocardiographic methods depending on precordial ECG amplitude measurements. For example, the methods and the device, apparatus or product can be advantageously used in a method of diagnosing left ventricular hypertrophy and/or hypertension in a subject.

The disclosure relates to systems and methods of converting a representation of a physiological signal (e.g., a non-digitized version such as a printed curve) into a digitized representation of the physiological signal of a subject. For example, a printed electrocardiogram (ECG) may be digitized using the systems are methods provided herein. The method may include receiving a digitized image of a printed curve representing the physiological signal of the subject, and detecting at least one region of interest having a portion of the physiological signal. For each of the regions of interest, the method may include extracting coordinates representing the physiological signal and registering the extracted coordinates.

A multi-parametric vital signs monitoring device configured for use as an ambulatory and a bedside monitor wherein the device can be patient-wearable and is battery powered. The monitoring device can be used with a charging cradle to provide power to the device in lieu of the battery as a power source for bedside applications, in which the cradle further serves as an intermediary device to enable a data link with a PC or other peripheral device. The monitoring device can include a wireless radio to enable bi-directional transfer of patient-related data to a separate remote station.

A system and method for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. A plurality of R-wave peaks are identified in a set of ECG data and a difference between recording times of successive pairs of the R-wave peaks are calculated as R-R intervals. A heart rate associated with each time difference is determined. An R-R interval plot of the ECG data is formed. The R-R intervals are plotted along an x-axis of the R-R interval plot and the heart rates associated with the R-R intervals are plotted along a y-axis of the R-R interval plot. A diagnostic composite plot is generated, including the R-R interval plot, a near field view of a portion of the ECG data, and an intermediate field view of a different portion of the ECG data for diagnosis of a cardiac event.