Abstract: Computer implemented methods and systems for detecting noise in cardiac activity are provided. The method and system obtain a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats, overlay a segment of the CA signals with a noise search window, and identify turns in the segment of the CA signals. The method and system determine whether the turns exhibit a turn characteristic that exceed a turn characteristic threshold, declare the segment of the CA signals as a noise segment based on the determining operation, shift the noise search window to a next segment of the CA signal and repeat the identifying, determining and declaring operations; and modify the CA signals based on the declaring the noise segments.

Abstract: A method includes assigning, to first voxels in a model of tissue of a chamber of a heart, respective first values of a parameter at respective locations on the tissue, the first voxels representing the locations, respectively. Some of the locations are on an endocardial surface of the tissue, and others of the locations are on an epicardial surface of the tissue. The method further includes assigning respective second values to second voxels in the model, a subset of which represent a portion of the tissue between the endocardial surface and the epicardial surface, by interpolating the first values. Other embodiments are also described.

Abstract: A method at a sensor apparatus affixed to a transportation asset, the method including detecting a trigger at the sensor apparatus; taking a threshold number of samples of a displacement-related value of the transportation asset over time; determining that a variance of the threshold number of samples exceeds a threshold; analyzing a frequency property based on the threshold number of samples; and based on the frequency property, determining whether the transportation asset is loaded or unloaded.

Abstract: Techniques for identifying onset of a cardiac event. Embodiments receive biometric data measured by at least one remote monitoring device, the biometric data comprising an electrocardiogram (ECG) data relating to a patient. It is determined that the ECG data includes a plurality of critical rhythms, and one of the plurality of critical rhythms is identified as an onset event. The ECG data is modified, based on the identified onset event. The modified ECG data facilitates treatment of the patient related to the identified onset event.

Abstract: Provided is a technique for restraining the amount of information as a whole while securing, as appropriate, information contributive to determination that utilizes a sensor. This sensor device 200 comprises: a measurement unit 210 for repeatedly measuring first information and second information which is measured at time intervals longer than those for the first information; and an output unit 220 for outputting the first information and second information measured by the measurement unit 210. When the first information and the second information meet respective standards thereof, the output unit 220 outputs the second information at longer intervals.

Abstract: An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software container with an interface configured to exchange information in a protocol of a software language used by the external entity of code. The architect module also creates a second concept node derived from its description in a scripted file coded in a pedagogical programming language, and connects the second concept node into the graph of nodes in the resulting AI model.

Abstract: Systems and methods for analyzing electrical activity in smooth muscle of the gastrointestinal tract of a patient are disclosed. The systems includes an electromyographic-sensing patch adapted for placement on the skin of the abdomen of the patient. The patch has at least one bipolar electrode pair, or a multitude arranged in an array, and is enabled for communication of a signal indicative of a sensed electromyographic signal. The methods include artifact removal, data normalization, and peak detection methods on data derived from the sensed electromyographic signal and employ, at least for example, machine learning methods.

Abstract: Systems and methods are disclosed to determine one or more sensing zones on a body surface for electrocardiographic mapping of a region of interest associated with the heart. The sensing zone can be utilized to facilitate acquisition, processing and mapping of electrical activity for the corresponding region of interest. In other examples, an application-specific arrangement of electrodes can also be provided based on the sensing zone that is determined for the region of interest.

Abstract: Disclosed are systems, methods, and articles for determining compatibility of a mobile application and operating system on a mobile device. In some aspects, a method includes receiving one or more data values from a mobile device having a mobile medical software application installed thereon, the data value(s) characterizing a version of the software application, a version of an operating system installed on the mobile device, and one or more attributes of the mobile device; determining whether the mobile medical software application is compatible with the operating system by at least comparing the received data value(s) to one or more test values in a configuration file; and sending a message to the mobile device based on the determining, the message causing the software application to operate in one or more of a normal mode, a safe mode, and a non-operational mode.

Abstract: A wearable cardiac monitoring and treatment device includes a garment, a plurality of ECG electrodes, a plurality of therapy electrodes, a therapy delivery circuit, and one or more sensors configured to monitor one or more physiological signals of the patient. The device also includes a controller configured to detect an arrhythmia condition, cause the therapy delivery circuit to deliver one or more therapeutic pulses to the patient on detecting the arrhythmia condition, detect that the garment is no longer worn about the torso of the patient prior to expiration of at least a prescribed duration of wear by detecting a loss of signal for at least a threshold period of time from one or more of the plurality of ECG sensing electrodes and/or one or more of the one or more sensors, and issue a notification that the garment is no longer worn about the torso of the patient.

Abstract: A method for electrophysiological assessment, including acquiring electrical signals from locations of a region of ablated tissue in a heart chamber, and deriving from the signals respective annotations, which are indicative of times within a heart cycle at which a conduction wave traversed the locations. The method includes identifying a first location, at a first distance from the region, where the electrical signals include a double-potential signal, having first and second annotations at different times within the heart cycle, and identifying, in proximity to the first location, a second location, at a second distance from the region, greater than the first distance, where the electrical signals have a third annotation. The method further includes selecting one of the first and second annotations that is closest to the third annotation as a valid annotation for the first location, and displaying the valid annotation on an electroanatomical map of the heart.

Abstract: Electrocardiogram (ECG) data is compressible at high compression ratios using suitable compressive sensing techniques. Methods of detecting QRS complexes in an ECG signal may comprise receiving compressively-sensed measurements of an ECG signal; constructing an estimate of the ECG signal from the received compressively-sensed measurements, and detecting QRS complexes in the estimate of the ECG signal. QRS complexes may be detected by computing the first-order difference of the estimate of the ECG signal and processing the first-order difference of the estimate of the ECG signal to locate one or more significant natural blocks, each indicating a QRS complex in the ECG signal. QRS complexes may also be detected by using a conventional QRS detection algorithm on the estimate of the ECG signal. Also disclosed are related systems for detecting QRS complexes and for compressively sensing ECG signals.

Abstract: A portable electrocardiograph includes: a recording section configured to record data corresponding to electrocardiogram of a subject; a detecting section configured to detect approach of a portable device having a function to perform short-range wireless communication; and a control section configured to start recording of the data in the recording section in a case where it is satisfied a start condition including a fact that the approach of the device is detected by the detecting section.

Abstract: There is provided a system for measuring a physiological parameter of a person indicative of physiological pathology, comprising: a plurality of remote non-contact sensors, each of a different type of sensing modality, at least one hardware processor executing a code for: simultaneously receiving over a time interval, from each of the plurality of remote non-contact sensors monitoring a person, a respective dataset, extracting, from each respective dataset, a respective sub-physiological parameter of a plurality of sub-physiological parameters, analyzing a combination of the plurality of sub-physiological parameters, and computing a physiological parameter indicative of physiological pathology according to the analysis, wherein an accuracy of the physiological parameter computed from the combination is higher than an accuracy of the physiological parameter independently computed using any one of the plurality of sub-physiological parameters.

Abstract: A medical device processor is configured to receive a first cardiac electrical signal sensed from a first sensing electrode vector, receive a second cardiac electrical signal sensed from a second sensing electrode vector different than the first sensing electrode vector, and construct a third cardiac electrical signal from the first cardiac electrical signal and the second cardiac electrical signal. In some examples, the system determines sensed cardiac events according to at least one setting of a cardiac event sensing threshold control parameter from at least the third cardiac electrical signal and may determine at least one acceptable setting of a sensing control parameter based on the determined sensed cardiac events. The processor may generate an output representative of the determined sensed cardiac events.

Abstract: An information processing device includes processing circuitry configured to classify a plurality of partial waveform patterns that characterize a plurality of time series data into a plurality of classes based on the plurality of time series data classified into the plurality of classes, update shapes of the partial waveform patterns by fitting the partial waveform patterns to the time series data of the corresponding class, and reclassify the plurality of time series data into the plurality of classes based on the updated partial waveform patterns and difficulty levels that represent degrees of difficulty of classification and interpretation of the time series data.

Abstract: A biological monitoring device includes a sensor included in a sensor device, performing a detection process of detecting a medical condition of a patient, and performing a process of generating first detection data indicating a result of the detection process, a generation unit realized by the sensor device, indicating contents related to the detection process, and performing a process of generating second detection data having a smaller data volume than the first detection data, on the basis of the first detection data, and a communication unit realized by the sensor device, and performing a process of transmitting the second detection data to a terminal associated with the patient.

Abstract: Certain embodiments are directed to a method, system, or apparatus, such as a medical imaging device. The method can include retrieving data from a worksheet or form repository server. The data can include one or more fields of a customized worksheet or form. The one or more fields can be based on at least one of an identification of a user, a location of the medical imaging device, or a medical department using the medical imaging device. The method can also include recreating the customized worksheet or form at the medical imaging device based on the received data, and displaying the recreated customized worksheet or form on a graphical user interface connected to the medical imaging device. In addition, the method can include producing a medical image via the medical imaging device, and automatically forwarding the customized worksheet or form and the medical image to a billable workflow or an educational workflow.

Abstract: In a biopotential-physiological-phenomena sensing system, an impedance measurement circuit for measuring the impedance of a channel electrode that is applied to a subject's body for sensing a physiological phenomenon includes: an amplifier, a DC-biased power supply with an AC component and a conductive element. The amplifier has a signal input coupled to a channel electrode that is applied to a subject's body and a signal output for providing an output voltage that is representative of a voltage provided at the signal input in accordance with an amplification of the amplifier. The conductive element is coupled between the power supply and the signal input of the amplifier. The AC component of the DC-biased power supply causes a known test current to flow through the channel electrode thereby causing a voltage drop proportional to the impedance of the channel electrode at the input of the amplifier. The impedance of the channel electrode is measured in accordance with the amplifier's output voltage.

Abstract: A catheter is disclosed comprising: a connector including a plurality of first contacts and one or more second contacts; a shaft including a plurality of electrodes, each electrode being coupled to a different one of the plurality of first contacts; a memory coupled to at least one of the second contacts, wherein the memory is configured to: store a pinout map identifying an order in which the plurality of electrodes is coupled to the plurality of first contacts; and provide the pinout map to an external device via one or more of the second contacts after the connector is coupled to the external device.

Abstract: A magnetocardiography (MCG) system includes a passively shielded enclosure having walls defining the passively shielded enclosure, each of the walls including passive magnetic shielding material to reduce an ambient background magnetic field within the passively shielded enclosure; an MCG measurement device including optically pumped magnetometers (OPMs); and active shield coils within the passively shielded enclosure and stationary relative to the passively shielded enclosure and the MCG measurement device, wherein the active shield coils are configured to further reduce the ambient background magnetic field within a user area of the passively shielded enclosure.

Abstract: A compliance management system generates an enterprise data schema based on a compliance regulation. The system monitors interactions over a network with resources subject to the compliance regulation to generate interaction data sets. The system processes the interaction data sets against the enterprise data schema to categorize at least some of the interactions to trigger events associated with the categories, generate corresponding to the events, and track a compliance metric for each of the tasks generated. The system updates the enterprise data schema based on the compliance metric and the interaction data sets.

Abstract: The present disclosure provides a medical stimulation system that includes a plurality of implantable channels each operable to obtain a voltage signal from a designated area of a body tissue. The medical stimulation system includes an impedance measurement device. The impedance measurement device includes a plurality of attenuators each coupled to a respective one of the channels. The attenuators are each operable to attenuate an amplitude of the voltage signal received from its respectively-coupled channel. The impedance measurement device includes a multiplexing component that receives the amplitude-attenuated voltage signals from each of the attenuators. The multiplexing component selectively outputs two of the amplitude-attenuated voltage signals. The impedance measurement device includes a differential amplifier that receives the two amplitude-attenuated voltage signals outputted from the multiplexing component as a differential input signal.

Abstract: The invention concerns wearable electronic devices, systems and methods for sports performance monitoring. In one embodiment, the invention provides a device comprising a heartbeat sensor for providing a heartbeat signal, a motion sensor for providing a motion signal and processing means adapted to calculate at least one performance parameter depicting said sports performance and/or the person using temporal characteristics of periodic features of the heartbeat signal compared with temporal characteristics of periodic features in the motion signal. The invention allows for utilization of an existing relation between cadence and heart rate for characterizing the performance or the person in a novel way.

Abstract: Systems and methods for forming a lesion on an endocardial tissue of a patient's heart involve placing an ablation assembly inside of the heart and adjacent to the endocardial tissue, and placing a guiding assembly outside of the heart. An ablation assembly includes an ablation element and a first attraction element, and a guiding assembly includes a second attraction element. First and second attraction elements can be attracted via magnetism. Techniques involve forming an ablation on the cardiac tissue of a patient's heart with an ablation element of the ablation assembly. Optionally, techniques may include moving the second attraction element of the guiding assembly relative to the patient's heart, so as to effect a corresponding movement of the ablation element of the ablation assembly.

Abstract: A medical device is utilized to monitor physiological parameters of a patient and capture segments of the monitored physiological parameters. The medical device includes circuitry configured to monitor one or more physiological parameters associated with the patient and an analysis module that includes a buffer and a processor. The buffer stores monitored physiological parameters and the processor analyzes the monitored physiological parameters and triggers capture of segments from the buffer in response to a triggering criteria being satisfied. The analysis module selects a pre-trigger duration based at least in part on the triggering criteria.

Abstract: Systems and methods are provided for monitoring progression of a cardiac disease in a patient by providing cardio-vibrational image matrixes and/or ECG image matrices generated using sensor data supplied by a medical device. In some examples, cardio-vibrational image matrices and/or ECG image matrices are output as image files. In some implementations, systems and methods are provided for using such cardio-vibrational image matrices and/or an ECG image matrices, and/or other clinical information, using machine learning classifiers, to assess cardiac risk in a patient. In some implementations, systems and methods are provided for using cardio-vibrational image matrixes and/or ECG image matrices, and/or other clinical information for real-time analysis of cardiac risk.

Abstract: In some examples, a system includes processing circuitry configured to generate a laser speckle contrast signal based on a received signal indicative of detected light, wherein the detected light is scatted by tissue from a coherent light source. The processing circuitry may also determine, from the laser speckle contrast signal, a flow value and determine, from the laser speckle contrast signal, a waveform metric. Based on the flow value and the waveform metric, the processing circuitry may determine a blood flow metric for the tissue and output a representation of the blood flow metric.

Abstract: A therapy electrode system comprises a garment configured to be worn about a torso of a patient, a therapy electrode disposed in the garment and configured to deliver one or more electrical shocks to a body of the patient, a replaceable gel cartridge disposed on the therapy electrode and configured to release a conductive gel onto the patient's skin at an interface between the therapy electrode and the patient's skin prior to the delivery of the one or more electrical shocks to the body of the patient at the interface between the therapy electrode and the patient's skin, and a fluid pump in fluid communication with the replaceable gel cartridge.

Abstract: A method for determining cardiology disease risk from electrocardiogram trace data and clinical data includes receiving electrocardiogram trace data associated with a patient, receiving the patient's clinical data, providing both sets of data to a trained machine learning composite model that is trained to evaluate the data with respect to each disease of a set of cardiology diseases including three or more of cardiac amyloidosis, aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid regurgitation, abnormal reduced ejection fraction, or abnormal interventricular septal thickness, generating, by the model and based on the evaluation, a composite risk score reflecting a likelihood of the patient being diagnosed with one or more of the cardiology diseases within a predetermined period of time from when the electrocardiogram trace data was generated, and outputting the composite risk score to at least one of a memory or a display.

Abstract: A bra for measuring a physiological signal from a body of a user wearing the bra comprises first and second front portions, or bra cups portions. The bra also comprises first and second side wings, wherein the first side wing is coupled with the first front portion and the second side wing is coupled with the second front portion. In addition the bra comprises a measuring device and/or at least two electrodes, where the measuring device or at least one electrode is arranged to a module, and the module forms at least a basis of the first side wing of the bra or even the first side wing of the bra as its entirety.

Abstract: Provided are a disease prediction apparatus and a disease prediction method using the same, which may easily learn a biosignal, may easily make a diagnosis, and may perform analysis in real time, in order to determine a disease using a biosignal via deep learning.

Abstract: A stroke detection system operative to detect strokes suffered by mobile communication device users, the system including a hardware processor operative in conjunction with a mobile communication device having at least one built-in sensor. The hardware processor is configured to, repeatedly and without being activated by the device's user, compare data derived from the at least one sensor to at least one baseline value for at least one indicator of user well-being, stored in memory accessible to the processor and/or make a stroke risk level evaluation; and/or perform at least one action if and only if the stroke risk level is over a threshold.

Abstract: An analytical toilet comprising a bowl for receiving excreta from a user; a flush mechanism for cleaning the bowl after use; at least one analytical test device wherein a sample of excreta is analyzed; a manifold comprising conduits and valves for distributing one or more fluids to and from the at least one receptacle; and a digital control device controlling the valves to distribute the sample to the analytical test device for analysis; and distribute fluid to remove the sample from the analytical test device after analysis and to clean the analytical test device is disclosed.

Abstract: A monitoring apparatus is provided. A strip includes a first end section, a second end section opposite the first end section, and a midsection between the first end section and the second end section, and further includes a first surface and a second surface. An adhesive covers a portion of the first surface of the strip. Only two electrocardiographic electrodes are included. A flexible circuit is mounted to the second surface of the strip. An accelerometer, a respiratory sensor, and a wireless transceiver are provided on the second surface of the strip. A processor is positioned over a portion of the flexible circuit and coupled to the electrodes and the wireless transceiver.

Abstract: According to an embodiment, a method for diagnosing traumatic brain injury (TBI) in a subject may include repeatedly measuring heart rate variability (HRV) in the subject and a plurality of HRV altering variables; calculating an HRV fingerprint based on the subject's measured HRV and the measured plurality of HRV altering variables; generating a predicted HRV of the subject based on the HRV fingerprint; and diagnosing a TBI in the subject when the measured HRV of the subject deviates from the predicted HRV of the subject.

Abstract: A method includes collecting a plurality of bipolar electrograms and respective unipolar electrograms of patients, the electrograms including annotations in which one or more human reviewers have identified and marked a window-of-interest and one or more activation times inside the window-of-interest. A ground truth data set is generated from the electrograms, for training at least one electrogram-preprocessing step of a Machine Learning (ML) algorithm. The ML algorithm is applied to the electrograms, to at least train the at least one electrogram-preprocessing step, so as to detect an occurrence of an activation in a given bipolar electrogram within the window-of-interest.

Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to receive an input of first transition data indicating a transition up to the present time of a biological index value exhibiting a condition of a patient and second transition data indicating a transition up to the present time of a treatment means implemented on the patient; to set a goal value of the biological index value as a treatment index value; and to predict a time at which the biological index value of the patient will reach the treatment index value, on the basis of such first transition data and second transition data of one or more past patients different from the patient that have characteristics similar to characteristics of the first transition data and the second transition data of the patient.

Abstract: An electrophysiology system including signal channels each of which processes an electrophysiological signal along a signal path extending from an input port that receives the analog electrophysiological signal, via an adjustable gain element that amplifies the electrophysiological signal, and via an ADC element that converts the analog signal into a corresponding digital signal, to an output port. The system further includes a monitoring element that generates a monitoring signal representative of a DC component of the electrophysiological signal and a gain control element that generates a control signal responsive to the monitoring signal. The control signal controls the gain setting of the gain element to cause a decrease in gain, if an increase in the magnitude of the DC component is determined; and/or an increase in gain, if a decrease in the magnitude of the DC component is determined.

Abstract: To improve convenience of a biopotential detector. A support includes a lower surface and an upper surface. A first detection electrode is exposed on the lower surface. A first signal terminal is exposed on the upper surface and is electrically connected to the first detection electrode. A secondary battery and a charging circuit are supported in the support. A positive electrode terminal is exposed on the upper surface and is electrically connected to the secondary battery. A gel member covering the first detection electrode is attachable/detachable to/from the lower surface. A signal processing device having a connecting part is attachable/detachable to/from the upper surface. When the signal processing device is attached to the upper surface, the first signal terminal and the positive electrode terminal are connected to the connecting part.

Abstract: A method is proposed for recording diagnostic measurement data of a head of an examination object in head imaging via a magnetic resonance device. The method comprises performing an overview scan of the head of the examination object, wherein overview measurement data is acquired in the overview scan and performing various diagnostic scans of the head of the examination object based on the acquired overview measurement data, wherein diagnostic measurement data is acquired in the various diagnostic scans.

Abstract: The present technology relates to an information processing system, a recording medium, and an information processing method which are capable of transmitting information to persons who are considered to be worthy of the transmission. An information processing system according to an aspect of the present technology stores position information indicating a position of a device of a user and date information at which position measurement is performed in correlation with each other, forms a community including users who leave a movement trajectory satisfying a predetermined condition at the periphery of a specific location on the basis of a user's movement history indicated by the stored information, and distributes a message input through a specific interface to users who pertain to the community. The present technology is applicable to a device such as an electronic signboard that is installed at a specific location.

Abstract: Provided is a method of detecting the R peak of an electrocardiogram (ECG) signal using an adaptive median filter. The method includes allowing an ECG signal (hereinafter, referred to as a first ECG signal) received from an ECG signal measuring apparatus having a predetermined sampling rate to pass through an adaptive median filter, calculating a difference value between the first ECG signal and a signal (hereinafter, referred to as a second ECG signal) passing through the adaptive median filter, extracting R peak candidate groups by applying a maximum filtering size and an adaptive threshold applicable in the adaptive median filter to the calculated difference value between the first and second ECG signals, and detecting an R peak candidate group having a maximum value among the R peak candidate groups as an R peak.

Abstract: A method to optimize analyzer use in a laboratory having a plurality of analyzers based on laboratory workload is presented. The method comprises determining current laboratory workload, calculating workload capability of the plurality of analyzers minus one analyzer if the current laboratory workload is below a threshold criteria and if there are two or more analyzers in the plurality of analyzers, masking one of the plurality of analyzers if the current workload is met by the plurality of analyzers minus one analyzer, proceeding with current workload, and repeating the above steps until the current laboratory workload has been completed.

Abstract: In an embodiment of this invention, in a learning phase, a state estimation device acquires activity state data and biometric data at that time from user terminals of a plurality of users, generates a regression formula representing the relationship between the biometric data and the activity state data using a regression analysis method on the basis of these pieces of measurement data, and calculates a difference between the coefficients of the regression formula of all users and each user to generate a coefficient correction regression formula representing a relationship between the difference of the coefficient and an average value of the biometric data.

Abstract: A monitoring system includes a wearable patch device configured to be secured to a body of a patient, the wearable patch device comprising a patch body, a first discrete transducer associated with a first position of the patch body, a second discrete transducer associated with a second portion of the patch body, and a wireless transmitter, and electronics including one or more processors and one or more memory devices and configured to receive signals based on transducer readings of the first and second discrete transducers and determine an amount of blood flow through one or more valves of a heart of the patient based on the signals.

Abstract: Techniques for triggering the storage or transmission of cardiac electrogram (EGM) signals associated with a premature ventricular contractions (PVC) include sensing a cardiac EGM signal of a patient via a plurality of electrodes, detecting a premature ventricular contraction (PVC) within the cardiac EGM signal, determining whether PVC storage criteria is met, in response to a determination that the PVC storage criteria is met, storing a portion of the cardiac EGM signal associated with the PVC, and in response to a determination that the PVC storage criteria is not met, eschewing storing the portion of the cardiac EGM signal associated with the PVC.

Abstract: An apparatus for generating ECG recordings and a method for using the same are disclosed. The apparatus includes a handheld device having four electrodes on an outer surface thereof, the handheld device having an extended configuration and a storage configuration. The apparatus also includes a controller configured to measure signals between the electrodes to provide signals that are used to generate an ECG recording selected from the group consisting of standard lead traces and precordial traces. When the handheld device is in the extended configuration and the first and second electrodes contact a first hand of a patient such that the first and second electrodes contact different locations on the first hand, the third electrode is in contact with a location on the patient's other hand and the fourth electrode contacts a point on the patient's body that depends on the particular trace being measured.

Abstract: A system for synchronizing application of treatment signals with a cardiac rhythm is provided. The system includes a memory that receives and stores a synchronization signal indicating that a predetermined phase such as R-wave of a cardiac rhythm of a patient has started. A synchronization module analyzes whether the stored synchronization signal is erroneous and if so, prevents a medical treatment device from applying a treatment energy signal such as an IRE pulse to a patient to take into account an irregular heart beat and noise in the synchronization signal in order to maximize safety of the patient.

Abstract: An electrocardiography patch is provided. A backing includes an elongated strip with a midsection connecting two rounded ends. The midsection tapers in from each end and is narrower than each of the two ends. An electrode is positioned on each end of the backing on a contact surface to capture electrocardiographic signals. A circuit trace electrically is coupled to each of the electrodes in the pair. A battery is provided on an outer surface of the backing opposite the contact surface. Memory is provided on the outer surface of the backing to store data regarding the electrocardiographic signals. A processor is powered by the battery to write the data into the memory.