Abstract: A method of analysing changes in the electrical activity of a patient's heart between a reference state and a test state, the method using a reference data set of electrophysiological data captured from the patient in the reference state and at least one test data set of electrophysiological data captured from the patient in the test state, each data set defining a plurality of electrograms for a respective plurality of spatial locations relative to the heart, the method comprising processing the electrophysiological data by, matching each electrogram in the reference data set to a corresponding electrogram in the at least one test data set to create a pair of electrograms for each of the plurality of spatial locations, and deriving a time delay for each spatial location by calculating the time delay between the electrograms of the pair of matched electrograms for that spatial location.

Abstract: An event waveform extracting unit (3) extracts an event waveform from time-series data. A co-occurrence rate calculating unit (4) calculates co-occurrence rates of event waveforms among the time-series data. A grouping unit (5) classifies the time-series data into groups depending the co-occurrence rates of the event waveforms. An event information generating unit (6) determines the time at which the periods during which event waveforms occur overlap with each other among the time-series data included in each group, and generates event information identifying an event related to the event waveforms on the basis of the determined time.

Abstract: A medical apparatus includes a probe configured for insertion into a body of a patient. The probe includes electrodes configured to contact tissue within the body. The apparatus further includes a display screen, a position-tracking system configured to acquire position coordinates of the electrodes, and a processor. The processor is configured to acquire electrophysiological signals from a group of the electrodes in a sequence of time intervals, extract electrophysiological parameters from the signals, and for each time interval, compute a measure of consistency of the parameters extracted from the signals. The processor is further configured to render to the display screen a three-dimensional map of the tissue while superimposing on the map a visual indication of the extracted parameters for which the measure of consistency satisfied a consistency criterion, and automatically discarding from the map the parameters for which the measure of consistency did not satisfy the criterion.

Abstract: A computer implemented method and system for detecting premature ventricular contractions (PVCs) are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains a cycle length (CL) distribution metric that plots a series of cardiac beats into one of a set of transition types based on R-R interval (RRI) difference pairs associated with the cardiac beats. The CL distribution metric plots the cardiac beats based on a comparison between combinations of the RRI difference pairs for corresponding combinations of the cardiac beats. The method calculates a distribution characteristic for the cardiac beats, from the series of cardiac beats that exhibit a first transition type from the set of transition types and calculates a discrimination score based on the distribution characteristic of the cardiac beats across the CL distribution metric.

Abstract: An instantaneous heartbeat reliability evaluation apparatus includes: extraction means which extracts waveforms having a maximum value corresponding to depolarization of a heart in a biosignal of an examinee; first calculation means which calculates an interval between two waveforms neighboring in a time series; dividing means which divides a signal output from measurement means into signals of predetermined periods; second calculation means which calculates feature quantities of a potential of each divided signal; first evaluation means which evaluates whether a measurement state of each divided signal is normal or abnormal on the basis of feature quantities; and second evaluation means which evaluates measurement states of two neighboring extracted waveforms on the basis of an evaluation result obtained by the first evaluation means and evaluates reliability of a measurement state of the interval between the waveforms depending on a type of the evaluated measurement states of the waveforms.

Abstract: A system and method for automatically requesting assistance for a user experiencing a medical emergency is disclosed. The system includes a user device with a sensor to detect sensed information. Based on the sensed information the user device can determine if the user is experiencing a medical emergency. The user device can communicate with nearby devices over one or more networks and send information about the medical emergency to the nearby devices. The information can include the type of medical emergency, the location of the user experiencing the medical emergency, and any instructions for providing the user with assistance.

Abstract: A system includes a pulse generator including a can electrode and a lead couplable to the pulse generator, the lead including a distal coil electrode and a proximal coil electrode, wherein both of the coil electrodes are electrically uncoupled from the can electrode such that a unipolar sensing vector is provided between at least one of the coil electrodes and the can electrode.

Abstract: The present invention relates to a method of analysing cardiac data relating to a patient, comprising: providing cardiac data relating to the patient—optionally by using a means for providing physiological data (20); determining one or more properties of the data, wherein the or each property is determined over a particular context length, the context length being selected based on the or each property—optionally using an analysis module (24); comparing the or each property against a respective predetermined threshold value, thereby to indicate a probability of the patient experiencing a cardiac event—optionally using a means for providing an output (26); and providing an output based on the comparison. A system and apparatus corresponding to this method is also disclosed.

Abstract: An example system and method associated with identifying and treating a source of a heart rhythm disorder are disclosed. In accordance therewith, a spatial element associated with a region of the heart is selected. Progressive rotational activations or progressive focal activations are determined in relation to the selected spatial element over a period of time. The selecting and determining are repeated over multiple periods of time. A source parameter of rotation activations or focal activations is determined, wherein the source parameter indicates consistency of successive rotational activations or focal activations in relation to a portion of the region of the heart. The determining of a source parameter is repeated for multiple regions of the heart. Thereafter, representation of the source parameter is displayed for each of the multiple regions of the heart to identify a shape representing the source of the heart rhythm disorder.

Abstract: Systems and methods for processing cardiac information include a processing unit configured to receive a set of cardiac electrical signals; receive an indication of a measurement location corresponding to each of the set of electrical signals; and identify, for each electrical signal of the set of electrical signals, a deflection. The deflection includes a deviation from a signal baseline. An activation waveform corresponding to the set of electrical signals is generated based on the identified deflections.

Abstract: A method for analyzing a measured signal is described wherein at least a first segment and a second segment of said measured signal are acquired by a measurement device. At least said first segment and said second segment are stored in an acquisition memory of said measurement device. A search criterion is applied on at least said first segment and said second segment. At least a first timing event corresponding to said search criterion is stored into a memory, said first timing event being found in at least one of said segments. Further, an oscilloscope is described.

Abstract: A Wearable Cardiac Defibrillator (WCD) system is configured to be worn by a patient who carries a mobile communication device. The mobile communication device has a user interface that is configured to enable the patient to enter wireless inputs. The WCD system includes a communication module that is configured to establish a local comlink with the mobile communication device. The WCD system also includes a tethered action unit that has a user interface configured to enable the patient to enter action inputs. The WCD system can perform some of its functions in response to the action inputs or to the wireless inputs. Since the wireless inputs can be provided from the mobile communication device instead of the action unit, the patient is less likely to attract attention when entering them, and thus exhibit better compliance.

Abstract: An electrocardiogram waveform signal method includes obtaining a filtered waveform signal, marking the waveform signal as K signal line segments based on monotonicity, extracting line segment data of each signal line segment, and determining a line segment matching template of the waveform signal based on the line segment data of each signal line segment. The extracting of the line segment includes extracting a line segment length Xi and a line segment width Yi of each signal line segment i of the K signal line segments, performing difference extension on the line segment length Xi and the line segment width Yi based on a preset length and a preset width, respectively, to obtain a normalized signal line segment j, and extracting fourth line segment data of the normalized signal line segment j.

Abstract: A vital-signs patch for a patient monitoring system that includes a housing containing a sensor that makes physiological measurements of a patient, a transmitter, a receiver, a memory, and a processor. The processor periodically takes a measurement from the sensor, converts the measurement to a data record, and stores the data record in the memory. Upon receipt of a signal from another device, the processor retrieves at least a portion of the data record, converts the retrieved portion of the data record to a vital-sign signal, and causes the transmitter to transmit the vital-sign signal to the other device.

Abstract: Disclosed are various examples and embodiments of systems, devices, components and methods configured to detect a location of a source of at least one cardiac rhythm disorder in a patient's heart, such as atrial fibrillation, and to classify same. Velocity vector maps reveal the location of the source of the at least one cardiac rhythm disorder in the patient's heart, which may be, by way of example, an active rotor in the patient's myocardium and atrium. The resulting velocity vector map may be further processed and/or analyzed to classify the nature of the patient's cardiac rhythm disorder, e.g., as Type A, B or C atrial fibrillation. The resulting cardiac rhythm classification then can be used to determine the optimal, most efficacious and/or most economic treatment or surgical procedure that should be provided to the individual patient. A simple and computationally efficient intra-cardiac catheter-based navigation system is also described.

Abstract: A central signal segregation station (100) employs a signal acquisition controller (103) and a signal segregation controller (104). In operation, the signal acquisition controller (103) receives a plurality of different types of physiological signals from a plurality of unknown physiological sensors (10; 20; 30; 40; 50; 60; 70; 80). For a monitoring of the physiological signals, the signal segregation controller (104) identifies a particular type of each physiological signal based on distinct signal features of each physiological signal corresponding to a different physiological signal model (101) among a plurality of physiological signal models (101) derived from known types of physiological sensors.

Abstract: Imaging systems and methods are provided, which involve acquiring static volume data using a first imaging technique; segmenting the static volume data to generate a static segmentation; annotating the static segmentation with at least one annotation; acquiring initial dynamic volume data using a second imaging technique different to the first imaging technique; segmenting the initial dynamic volume data to generate a plurality of dynamic segmentations; comparing the static segmentation to each one of the plurality of dynamic segmentations and determining, using the comparisons, a single dynamic segmentation that most closely corresponds to the static segmentation; storing the corresponding single dynamic segmentation in the memory as a reference segmentation; acquiring subsequent dynamic volume data; segmenting the subsequent dynamic volume data to generate at least one subsequent dynamic segmentation; determining a difference between the reference segmentation and the subsequent dynamic segmentation; updati

Abstract: An information processing apparatus is provided which includes a sensor information acquisition unit that acquires sensor information including at least biological information of a user and a biological information change prediction unit that predicts a change of the biological information from the sensor information in accordance with a framework based on knowledge concerning poor physical condition of the user.

Abstract: Catheterization of the heart is carried out by inserting a probe having electrodes into a heart of a living subject, recording a bipolar electrogram and a unipolar electrogram from one of the electrodes at a location in the heart, and defining a window of interest wherein a rate of change in a potential of the bipolar electrogram exceeds a predetermined value. An annotation is established in the unipolar electrogram, wherein the annotation denotes a maximum rate of change in a potential of the unipolar electrogram within the window of interest. A quality value is assigned to the annotation, and a 3-dimensional map is generated of a portion of the heart that includes the annotation and the quality value thereof.

Abstract: A computer implemented method for detecting pocket stability for an implantable cardiac monitor, including under control of one or more processors in the ICM, collecting impedance data over at least one cardiac cycle. The impedance data is processed to separate an impedance waveform that varies over the at least one cardiac cycle in a manner representative of cardiac functionality over the at least one cardiac cycle. A characteristic of interest is analyzed from the impedance waveform over the at least one cardiac cycle. A pocket stability state of the ICM is identified and recorded based on the analyzing operation.

Abstract: An analysis device according to the present invention includes a memory, and processing circuitry coupled to the memory and configured to analyze data indicating a biosignal by using a predetermined analysis technique and an updated parameter corresponding to the predetermined analysis technique every time the parameter is updated, control a display to display an analysis result obtained together with an interface capable of changing display modes in response to user's operation, and update the parameter based on change in the display modes for the interface.

Abstract: A system includes a memory and a processor. The memory is configured to store a definition of a cardiac pacing protocol. The processor is configured to (a) receive the stored definition of the cardiac pacing protocol, (b) in accordance with the pacing protocol, to automatically pace from an intracardiac location and to acquire respective sensed ECG signals, (c) based on one or more prespecified criteria for validity of the sensed ECG data, automatically accept or reject the sensed ECG signals, (d) based on one or more prespecified criteria for identification of an arrhythmia, identify the intracardiac location as an arrhythmogenic focus or pathway, (e) overlay the identified intracardiac location an electrophysiological (EP) map, and (f) subsequently identify or reject a new intracardiac location as an arrhythmogenic focus or pathway and overlay the new location on the EP map when pacing again from the new intracardiac location.

Abstract: Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients or to a set of rules developed from the database. A bundle branches (BB) to J-Point (BB-J) interval is identified from the plurality of subwaveforms and discontinuity points based on the comparison. The ECG waveform with the BB-J interval annotated is displayed.

Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.

Abstract: A catheter system to record and map electrical signals by cardiac tissues before, during, and/or after the treatment of cardiac arrhythmias in a group of patients. The system can include an elongated body; a distal electrode assembly comprising a proximal stem, a plurality of spines emanating from the stem; and a plurality of nonconductive spine covers, each surrounding a respective spine. Each spine can cover one or more tensile members of the respective spine cover. The system can be configured to achieve clinically improved performance and safety of catheter configurations as to accessibility into target areas of a beating heart.

Abstract: A method and system for assessing the risk of a cardiac event in a patient which utilizes real-time and historical data from Electronic Medical Record (EMR) systems is described. A risk of a cardiac event is estimated, in real-time or near-real-time, for a patient who is currently in a hospital emergency department. Batch data for one or more past patients is extracted from EMRs into a machine learning model. Using the machine learning model, a risk level for one or more past patients is calculated. A real-time database is constructed from streams of real-time Health Level 7 (HL7) clinical data, wherein at least one stream of real-time HL7 clinical data is associated with the current patient, and a risk prediction is estimated by joining the calculated risk level for the patient in the machine learning model with the real-time HL7 clinical data from the patient.

Abstract: A glucose monitoring system can make use of electrocardiograph (ECG) data and bioimpedance data acquired from a wearable device. The ECG data and bioimpedance data can each be processed to obtain a glucose level. These values can be processed together to obtain an adapted glucose value. In some cases, photoplethysmography data can also be used to assist in processing of the ECG data. The various types of data can be acquired from sensors on a wearable device. The wearable device can be removably coupled to a user's skin, such as via an adhesive substrate. In some cases, the wearable device can include a reusable electronics module that couples to replaceable electrodes on a replaceable adhesive substrate.

Abstract: A method, apparatus, and computer program product are provided for providing a dynamic wake-up alert. A user's sleep recovery need is determined based on a variety of factors, including but not limited to, mental stress level, physical activity, the individual's sleep history record, and/or data relating to circadian rhythms, recommended sleep times, patterns and cycles. Real-time sleep data, such as that detected by a sleep data detection device, is monitored to determine a real-time gained recovery. Biological, physiological, and/or neurological data relating to the quality of sleep, and/or the amount of sleep obtained is used to calculate the real-time gained sleep recovery of the user and compare the gained recovery to the sleep recovery need. Once the sleep recovery need is satisfied, a dynamic wake-up alert is provided via a user interface.

Abstract: An apparatus and computerized method of classifying a wide complex heart beat(s) comprising: providing a computing device having an input/output interface, one or more processors and a memory; receiving one or more wide complex heart beat waveform amplitudes and/or time-voltage areas, and one or more baseline heart beat waveform amplitudes and/or time-voltage areas via the input/output interface or the memory; determining a signal change between the wide complex heart beat waveform amplitudes and/or time-voltage areas and the baseline heart beat waveform amplitudes and/or time-voltage areas using the one or more processors; and providing the signal change via the input/output interface, wherein the signal change provides an indication whether the wide complex heart beat(s) is from a ventricular source or a supraventricular aberrant condition.

Abstract: A method for processing ECG signals includes: removing peak position information of any R wave of a plurality of R waves in a plurality of ECG signals if it is determined that a first RR interval is less than or equal to a first RR interval threshold, and an amplitude of the R wave is less than or equal to a first R wave amplitude threshold; and detecting at least one new R wave in a first RR interval if it is determined that the first RR interval is greater than or equal to a second RR interval threshold; obtaining peak position information of the at least one new R wave, and then storing peak position information of any new R wave if it is determined that an amplitude of the new R wave is greater than or equal to a second R wave amplitude threshold.

Abstract: A system can include a wearable device that obtains real-time physiological data and activity data from a user and transmits that data to another device. A computing device can receive the data and calculate a first HRV score for the user based on physiological data from first time period and a second HRV score for the user based physiological data from a second time period. The device can present the user with at least one of the first and second HRV scores. In one example, a graphical display is provided on a GUI that includes indicators for each day of the week. In response to a user selecting an indicator for a day of the week, the GUI can display an HRV score for the selected day, among other information.

Abstract: Disclosed is a method for pattern recognition in a plurality of received time signals of different types, the method includes: b) for each received signal, creating an asynchronous time signal including events; c) for each created asynchronous signal, creating an activity profile of the asynchronous signal which decreases as a function of the time elapsed since the last event of the asynchronous signal; d) for a given time t0: d1) determining a context defined as the set of activity profiles of the created asynchronous signals, d2) determining a standard context among predetermined standard contexts, having a minimum distance to the context determined in step d1, d3) determining the pattern as a function of the determined standard context.

Abstract: A system and method for analyzing a subject health condition based on an input signal comprising subject heartbeat data recorded from the subject over a time period. Using the subject heartbeat data, a sympathetic activity index value in a sympathetic activity index (SAI) determined, where the SAI represents an influence, on a mean heart rate of the subject, of sympathetic nerve activity (SNA) of the subject.

Abstract: The present disclosure relates to a method of normalizing a tachycardia electrocardiogram (ECG) on the basis of P-wave and T-wave data interpolation. The method of normalizing a tachycardia ECG on the basis of P-wave and T-wave data interpolation includes (a) receiving a first ECG signal from a subject, (b) detecting P-wave and T-wave peaks in the received first ECG signal, (c) segmenting the received first ECG signal into one-cycle ECG signals on the basis of the detected P-wave and T-wave peaks, (d) segmenting the one-cycle ECG signals into a P-wave period, a QRS complex period, and a T-wave period, and (e) normalizing the segmented P-wave and T-wave periods through data interpolation.

Abstract: An analyzer for monitoring a configuration of a wired network medium that is used for communication between multiple devices. The configuration change includes an additional device tapping to the medium for eavesdropping, or the substituting one of the devices. The analyzer is connected to the medium for receiving, storing, and analyzing waveforms of the physical-layer signals propagated over the medium. The analysis includes comparing the received signals to reference signals, and notifying upon detecting a difference according to pre-set criteria. The analysis may be time or frequency-domain based, and may use a feed-forward Artificial Neural Network (ANN). The wired network may be an automotive or in-vehicle network, PAN, LAN, MAN, or WAN, may use balanced or unbalanced signaling, and may be configured as point-to-point or multi-point topology. The analyzer may be connected at an end of the medium, and may be integrated with one of the devices.

Abstract: Atrial fibrillation information can be determined from ventricular information or a ventricular location, such as using ventricular rate variability. An ambulatory medical device can receive indications of pairs of first and second ventricular rate changes of three temporally adjacent ventricular heart beats. A first count of instances of the pairs meeting a combined rate change magnitude characteristic and a second count of instances of the pairs in which both of the first and second ventricular rate changes are negative can be used to provide atrial fibrillation information.

Abstract: This specification describes a method of visually displaying electrocardiogram data in a compressed manner on the display screen wherein rhythmic information is visible and a method of categorizing zones of the electrocardiogram data.

Abstract: An object of the present invention is to provide an electrocardiogram measurement apparatus capable of significantly reducing the number of electrodes and measuring even a faint signal. The present invention provides an electrocardiogram measurement apparatus including a first electrode and a second electrode to be brought into contact with a body surface near an artery, an electrocardiogram measurement means for measuring a signal obtained from the first electrode and the second electrode, an artery position measurement means for identifying a position at which a measured value of a measured signal is largest as a position of an artery; and a notification means for notifying a user of information indicating the position of an artery.

Abstract: Electrical impedance myography (EIM) can be used for assessment and diagnosis of muscular disorders. EIM includes applying an electrical signal to a region of tissue and measuring a resulting signal. A characteristic of the region of tissue is determined based on the measurement. Performing EIM at different frequencies and modeling one or more impedance metrics as a function of frequency may provide impedance model parameters that can aid in the assessment and diagnosis. Devices are described that facilitate assessment and diagnosis using EIM.

Abstract: A system and method of monitoring the health of a person. The system comprises at least one sensor capable of measuring at least one physiological signal generated by the autonomic nervous system of the person for providing measurement data, and a data processing system which is configured to store a reference indicator, to receive measurement data from the sensor during a plurality of consecutive health-maintenance sessions in order to collect a plurality of measurement data sets corresponding to said health-maintenance sessions, to determine at last one health indicator based on the measurement data sets, said at least one health indicator being sensitive to physiological state of or changes in the autonomic nervous system, and to compare the at least one health indicator with said reference indicator. Objective information on autonomic nervous system related dysfunctions is retrieved which allows for systematic treatment to the person.

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration.

Abstract: Closed-loop stimulation of the Vagus nerve in response to a detected myocardial ischemia state within a therapeutic window can mitigate or reverse effects of the ischemia. This window is between 0 and 50 seconds of the onset of ischemia, before the myocardial ischemia reaches a statistically significant evolution level. A properly trained machine learning system such as a long short-term memory system can be used to analyze cardiovascular features and detect myocardial ischemia within the therapeutic window.

Abstract: An apparatus includes analog-to-digital conversion (ADC) circuitry, digital processing logic, and digital-to-analog conversion (DAC) circuitry. The ADC circuitry is coupled to digitize multiple analog input signals so as to generate digital samples. The digital processing logic is configured to extract, from the digital samples, one or more first digital signals corresponding to a first selected subset of the analog input signals, and one or more second digital signals corresponding to a second selected subset of the analog input signals. The digital processing logic is further configured to output the one or more first digital signals to a digital medical instrument. The DAC circuitry is coupled to convert the one or more second digital signal into one or more analog output signals, and to output the one or more analog output signals to an analog medical instrument.

Abstract: Methods and/or device facilitating and selecting among multiple modes of filtering a cardiac electrical signal, in which one filtering mode includes additional high pass filtering of low frequency signals, relative to the other filtering mode. The selection filtering modes may include comparing sensed signal amplitude to one or more thresholds, using the multiple modes of filtering. In another example, an additional high pass filter is enabled, over and above a default or baseline filtering mode, and the detected cardiac signal is monitored for indications of possible undersensing, and/or for drops in amplitude toward a threshold, and the additional high pass filter may be disabled upon finding of possible undersensing or drop in signal amplitude.

Abstract: In a biological signal measurement system of this invention, biological digital data is generated from a biological signal measured by a biological signal measurement apparatus, and first feature amount data extracted from the biological digital data and downsized biological digital data are transmitted to a portable terminal. In a biological information measurement apparatus of this invention, biological feature amount data is extracted from measured biological waveform data, and at least one of the biological waveform data and the biological feature amount data is transmitted to an external device. It is possible to provide a biological signal measurement system capable of continuously measuring a biological signal for a long time without disturbing daily life and provide a biological information measurement apparatus capable of implementing downsizing and long life of a battery.

Abstract: A system, a computer readable storage medium, and a method for analyzing electroencephalogram signals can include a plurality of sensors configured to contact a skull and capture the electroencephalogram signals, one or more computer memory units for storing computer instructions and data, and one or more processors configured to perform the operations of clustering the electroencephalogram signals using at least stored objective data and added subjective data including patient profile data to provide clustered data results and predicting one or more among a medical diagnosis, assessment, plan, necessary forms, or recommendations for follow up based on the clustered data results.

Abstract: A medical monitoring device for monitoring electrical signals from the body of a subject is described. The medical monitoring device monitors electrical signals originating from a cardiac cycle of the subject and associates each cardiac cycle with a time index. The medical monitoring device applies a forward computational procedure to generate a risk score indicative of hyperkalemia, hypokalemia or arrhythmia of the subject. The medical monitoring device can adjust the forward computational procedure based upon clinical data obtained from the subject.

Abstract: Methods for the measurement of surface dynamometer cards and diagnosis of operation in sucker rod pumped oil-producing wells, as well as devices using such methods having an autonomous, compact and cost-effective design.

Abstract: Methods and apparatus are provided for classifying and discovering historical and future operational states.

Abstract: One or more non-transitory computer-readable media have instructions executable by a processor and programmed to perform a method. The method includes analyzing the electrical data to locate one or more wave front lines over a given time interval. The electrical data represents electrophysiological signals distributed across a cardiac envelope for one or more time intervals. A respective trajectory is determined for each wave end of each wave front line that is located across the cardiac envelope over the given time interval. A set of connected trajectories are identified based on a duration that the trajectories are connected to each other by a respective wave front line during the given time interval. A connectivity association is characterized for the trajectories in the set of connected trajectories.