Abstract: Computer-implemented techniques for managing transactions of machine learning algorithm updates are described. In one embodiment, a computer-implemented is provided that comprises receiving, by a system operatively coupled to a processor, a request for an update to a machine learning model associated with a software program, wherein the request is received in accordance with a defined blockchain protocol, and wherein the request comprises model development data used in association with optimization of an instance of the machine learning model. The method further comprises, employing, by the system, a blockchain network to facilitate managing fulfillment of the request.

Abstract: A method of obtaining and analyzing ECG data from a patient or group of patients is disclosed. The ECG data is obtained from the patient at an acquisition device. Once the ECG data is obtained, the ECG data is transmitted to an analysis server that is operated by an analysis provider and is located remote from the location of the acquisition device. Along with the ECG data, acquisition parameters are transmitted to the analysis server. At the analysis server, one of a plurality of algorithms is selected to analyze the ECG data. If an abnormality is detected, the patient information is directed to a healthcare provider who can then contact the patient to schedule an appointment. Based upon the referral, a referral fee can be transferred from the healthcare provider to the analysis provider. The patient can be prompted to provide additional information and selections that dictate the level of analysis generated.

Abstract: A method of processing ECG data includes generating a first feature set with a trained neural network using ECG data and processing a patient's ECG data using a criteria-based algorithm to generate a second feature set. The patient's ECG data is then clustered into a number of clusters based on the first feature set and the second feature set to generate clustered ECG data. The clustered ECG data is presented to a user via a user interface, and user input is received from the user via the user interface regarding the clustered ECG data. A feature vector is defined based on the user input and the feature vector is applied to at least a portion of the patient's ECG data to generate revised clustered ECG data. The revised clustered ECG data is then presented to the user via the user interface.

Abstract: A method of obtaining and analyzing ECG data from a patient or group of patients is disclosed. The ECG data is obtained from the patient at an acquisition device. Once the ECG data is obtained, the ECG data is transmitted to an analysis server that is operated by an analysis provider and is located remote from the location of the acquisition device. Along with the ECG data, acquisition parameters are transmitted to the analysis server. At the analysis server, one of a plurality of algorithms is selected to analyze the ECG data. If an abnormality is detected, the patient information is directed to a healthcare provider who can then contact the patient to schedule an appointment. Based upon the referral, a referral fee can be transferred from the healthcare provider to the analysis provider. The patient can be prompted to provide additional information and selections that dictate the level of analysis generated.

Abstract: An electrocardiograph system including a monitoring device capable of receiving cardiac signals from electrodes attached to a patient in an alternative electrode configuration, wherein the alternative electrode configuration is one of a predetermined set of known electrode configurations that differs from a default configuration. The system further includes an analysis module configured to analyze the cardiac signals to detect that the electrodes are attached to the patient in an electrode configuration that differs from the default configuration, and then request information from the user identifying the alternative electrode configuration from the predetermined set of known electrode configurations. The analysis module retrieves a set of criteria for assessing the cardiac signals based on the alternative electrode configuration, and automatically analyzes the cardiac signals based on the set of criteria for the alternative electrode configuration.

Abstract: A method for processing ECG records from multiple patients for clinician overreading includes identifying an unread group of current ECG records from multiple patients awaiting clinician overreading. Each ECG record in the ungroup includes at least a current ECG data, a current waveform measurement, a current interpretative statement, and a serial comparison statement. A set of prioritization rules is applied with a processor to prioritize the current ECG records in the unread group into a prioritized order for clinician overreading based on at least one of the current waveform measurements, the current interpretive statements, and the serial comparison statements. The current ECG records are then presented in the prioritized order for clinician overreading.

Abstract: A method of obtaining and analyzing ECG data from a patient or group of patients is disclosed. The ECG data is obtained from the patient at an acquisition device. Once the ECG data is obtained, the ECG data is transmitted to an analysis server that is operated by an analysis provider and is located remote from the location of the acquisition device. Along with the ECG data, acquisition parameters are transmitted to the analysis server. At the analysis server, one of a plurality of algorithms is selected to analyze the ECG data. If an abnormality is detected, the patient information is directed to a healthcare provider who can then contact the patient to schedule an appointment. Based upon the referral, a referral fee can be transferred from the healthcare provider to the analysis provider. The patient can be prompted to provide additional information and selections that dictate the level of analysis generated.

Abstract: A method of directing positioning of ECG electrodes on a patient includes receiving at a processor an image of a patient from a camera of an augmented reality device. The processor analyzes the image for anatomical landmarks on the patient and generates an overlay image. The overlay image is shown over the real time image of the patient on the augmented reality device. The overlay image includes visual indicators of the desired electrode placement. The method further includes determining whether the actual location of each of the electrodes is correct and provides information on the augmented reality device as to whether the electrodes and lead placement is correct. An image of the electrode placement is stored with the ECG measurements, which can be used to verify correct electrode placement and to confirm consistent electrode placement over serial measurements. The augmented reality device allows for gesture control by the clinician.

Abstract: Computer-implemented techniques for managing transactions of machine learning algorithm updates are described. In one embodiment, a computer-implemented is provided that comprises receiving, by a system operatively coupled to a processor, a request for an update to a machine learning model associated with a software program, wherein the request is received in accordance with a defined blockchain protocol, and wherein the request comprises model development data used in association with optimization of an instance of the machine learning model. The method further comprises, employing, by the system, a blockchain network to facilitate managing fulfillment of the request.

Abstract: A method of directing positioning of ECG electrodes on a patient includes receiving at a processor an image of a patient from a camera of an augmented reality device. The processor analyzes the image for anatomical landmarks on the patient and generates an overlay image. The overlay image is shown over the real time image of the patient on the augmented reality device. The overlay image includes visual indicators of the desired electrode placement. The method further includes determining whether the actual location of each of the electrodes is correct and provides information on the augmented reality device as to whether the electrodes and lead placement is correct. An image of the electrode placement is stored with the ECG measurements, which can be used to verify correct electrode placement and to confirm consistent electrode placement over serial measurements. The augmented reality device allows for gesture control by the clinician.

Abstract: A method for processing ECG records from multiple patients for clinician overreading includes identifying an unread group of current ECG records from multiple patients awaiting clinician overreading. Each ECG record in the ungroup includes at least a current ECG data, a current waveform measurement, a current interpretative statement, and a serial comparison statement. A set of prioritization rules is applied with a processor to prioritize the current ECG records in the unread group into a prioritized order for clinician overreading based on at least one of the current waveform measurements, the current interpretive statements, and the serial comparison statements. The current ECG records are then presented in the prioritized order for clinician overreading.

Abstract: A method of obtaining and analyzing ECG data from a patient or group of patients is disclosed. The ECG data is obtained from the patient at an acquisition device. Once the ECG data is obtained, the ECG data is transmitted to an analysis server that is operated by an analysis provider and is located remote from the location of the acquisition device. Along with the ECG data, acquisition parameters are transmitted to the analysis server. At the analysis server, one of a plurality of algorithms is selected to analyze the ECG data. If an abnormality is detected, the patient information is directed to a healthcare provider who can then contact the patient to schedule an appointment. Based upon the referral, a referral fee can be transferred from the healthcare provider to the analysis provider. The patient can be prompted to provide additional information and selections that dictate the level of analysis generated.

Abstract: An electrocardiograph system including a monitoring device capable of receiving cardiac signals from electrodes attached to a patient in an alternative electrode configuration, wherein the alternative electrode configuration is one of a predetermined set of known electrode configurations that differs from a default configuration. The system further includes an analysis module configured to analyze the cardiac signals to detect that the electrodes are attached to the patient in an electrode configuration that differs from the default configuration, and then request information from the user identifying the alternative electrode configuration from the predetermined set of known electrode configurations. The analysis module retrieves a set of criteria for assessing the cardiac signals based on the alternative electrode configuration, and automatically analyzes the cardiac signals based on the set of criteria for the alternative electrode configuration.

Abstract: A method of analyzing electrocardiograph (ECG) data includes receiving a first representative ECG of a patient and isolating a first principal component, a second principal component, and a third principal component of the first representative ECG. The principal components are isolated by selecting a portion of the first representative ECG relating to depolarization, calculating a covariance matrix based on the portion of the first representative ECG, conducting a principal component analysis of the covariance matrix, and selecting a first component of the principal component analysis as the first principal component, the second component of the principal component analysis as the second principal component, and the third component of the principal component analysis as the third principal component. A depolarization subspace is then formed based on the first principal component, second principal component, and the third principal component of the first representative ECG.

Abstract: A method and system for electrocardiographic monitoring includes receiving cardiac signals recorded from electrodes attached to a patient according to a known electrode configuration and determining the known electrode configuration. The cardiac signal is then automatically analyzed based on the alternative electrode configuration. In one embodiment, the method includes acquiring a cardiac signal through electrodes connected to the patient according to a known electrode configuration and analyzing the cardiac signal to detect whether the known electrode configuration deviates from a standard 12 lead ECG configuration. If a deviation is detected, then an estimated electrode configuration is determined for the electrodes connected to the patient and the estimated electrode configuration is presented to a user.

Abstract: The system and method of the present application selects and presents ECGs that are most important to the user in conjunction with a measurement trend that relates to the diagnosis and management of the abnormality. In addition, the system and method of the present application will guide the user to verify whether the ECGs selected by the computer were valid and if not guide the user through measurement trends to find 12-ECGs of significance.

Abstract: A method of analyzing electrocardiograph (ECG) data includes receiving a first representative ECG of a patient and isolating a first principal component, a second principal component, and a third principal component of the first representative ECG. The principal components are isolated by selecting a portion of the first representative ECG relating to depolarization, calculating a covariance matrix based on the portion of the first representative ECG, conducting a principal component analysis of the covariance matrix, and selecting a first component of the principal component analysis as the first principal component, the second component of the principal component analysis as the second principal component, and the third component of the principal component analysis as the third principal component. A depolarization subspace is then formed based on the first principal component, second principal component, and the third principal component of the first representative ECG.

Abstract: The system of the present application includes computerized diagnostic ECG that is tailored for the EMR. The system and method of the present application provides several new approaches to the computerized ECG based on information available from the EMR through an EMR portal. Some of these information items include: Test indication and reason for performing the ECG, previous ECGs as a measure of the patient's “normal” baseline; electrolytes, and drugs known to cause cardiac toxicity/prolonged QT. Based on these inputs, the computerized ECG analysis will behave differently, including the formation of reports, the ancillary information supplied with the ECG and the interpretation itself.

Abstract: A luminescent patient connector connectable to a device that acquires physiologic signals comprises a leadwire and a luminescent casing. The leadwire has a first end connectable to an electrode and a second end having a device connector configured to connect to an acquisition device for acquiring a patient physiological signal. The luminescent casing is around at least a portion of the leadwire and is configured to receive light input and permit the transmission of light across the length of the leadwire to illuminate at least the first end of the leadwire.

Abstract: A method and system for electrocardiographic monitoring includes receiving cardiac signals recorded from electrodes attached to a patient according to a known electrode configuration and determining the known electrode configuration. The cardiac signal is then automatically analyzed based on the alternative electrode configuration. In one embodiment, the method includes acquiring a cardiac signal through electrodes connected to the patient according to a known electrode configuration and analyzing the cardiac signal to detect whether the known electrode configuration deviates from a standard 12 lead ECG configuration. If a deviation is detected, then an estimated electrode configuration is determined for the electrodes connected to the patient and the estimated electrode configuration is presented to a user.