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 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 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 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: 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: 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: 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: 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.

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

Abstract: Methods and devices for cardiac therapy. One example provides a subcutaneous anti-tachycardia pacing therapy. Another example provides a subcutaneous low energy cardioversion therapy. Yet another example provides a subcutaneous multiple pulse cardioversion therapy. In various examples, specific steps are taken to ensure synchronization of delivered therapy when provided in response to sensing and analysis of a subcutaneous signal. Some examples use a substernal device instead.

Abstract: The exemplary systems and methods may be configured for use in the determination of ectopic beat-compensated electrical heterogeneity information. Electrical activity can be monitored by a plurality of external electrodes. Ectopic beat information can be detected. Ectopic beat-compensated electrical heterogeneity information can be generated based on the monitored electrical activity and the detected ectopic beat information.

Abstract: The disclosure describes techniques for delivering electrical stimulation to decrease the ventricular rate response during an atrial tachyarrhythmia, such as atrial fibrillation. AV nodal stimulation is employed during an atrial tachyarrhythmia episode with rapid ventricular conduction to distinguish ventricular tachyarrhythmia from supraventricular tachycardia and thereby prevent delivering inappropriate therapy to a patient.

Abstract: Systems and techniques for managing biological signals. In one implementation, a method includes receiving a cardiac biological signal that includes information describing events, determining a merit of each event based on one or more of a severity of a cardiac condition associated with the event and a quality of the event, and handling a subset of the events that meet a merit criterion. The subset can be handled for medical purposes.

Abstract: An arrangement may include a first system provided for processing physiological data representative of a beating heart. The first system may be adapted to execute a process for using at least one pattern to detect a notable finding in the physiological data and for sending the notable finding to a second system. The second system may be adapted to execute a process for analyzing the notable finding, for determining at least one new pattern to send to the first system, and for sending the at least one new pattern to the first system. The at least one new pattern may also include a rule that includes a set of conditions and an action to perform if the set of conditions is met.

Abstract: There is provided a method for use in monitoring a physiological characteristic of a subject, the method comprising receiving a value of the physiological characteristic of the subject; determining whether the received physiological characteristic value is normal using a range of normal variability of the physiological characteristic for the subject calculated using a set of previous values of the physiological characteristic for the subject; and in the event that the received physiological characteristic value is determined to be normal, updating the range of normal variability using the received physiological characteristic value.

Abstract: A method for event detection in a user-wearable device includes receiving, from a first sensor implemented in the user-wearable device, photoplethysmogram (PPG) signals; processing, at a processor, the PPG signals to obtain PPG signal samples; detecting, at the processor, beats in the PPG signal samples; dividing the PPG signal samples into PPG signal segments; extracting at least one inter-beat interval (IBI) feature in each PPG signal segment; classifying, at the processor, each PPG signal segment using the extracted IBI feature associated with the PPG signal segment and using a machine learning model; in response to the classifying, generating, at the processor, an event prediction result for the PPG signal segment based on the extracted IBI feature; and displaying the event prediction result at the user-wearable device. In another embodiment, the method further includes extracting morphology based features.

Abstract: A biosignal processing apparatus includes a communication interface configured to receive a biosignal, and a processor configured to set a target interval of the biosignal, calculate a quality metric corresponding to the target interval based on a target component that is a frequency component of the target interval corresponding to a set value and a non-target component that is a frequency component of the target interval not corresponding to the set value, and estimate a quality of the biosignal based on the quality metric.

Abstract: A system for monitoring the status and/or performance of one or more hearing devices is disclosed. The system comprises a number of access points configured to receive wireless signals transmitted by the hearing devices, wherein the access points are connected to a central unit communicatively connected to the Internet/cloud, wherein the system is configured to automatically monitor the status and/or performance of one or more parameter of the one or more hearing devices received by access points, wherein the monitored parameters are accessible from the central unit and/or from a cloud service.

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: An apparatus includes a sensing circuit configured to generate a sensed physiological signal that includes physiological information of a subject, a detection circuit, and a control circuit. The detection circuit detects a physiological condition of a subject using the physiological signal. The control circuit stores sampled values of a segment of the physiological signal in temporary memory storage; and stores the sampled values in non-temporary storage in response to receiving an indication of continued detection of the physiological condition.

Abstract: Systems, apparatus, and methods for ablation therapy are described herein, with a processor for confirming pacing capture or detecting ectopic beats. An apparatus includes a processor for receiving cardiac signal data captured by a set of electrodes, extracting a sliding window of the cardiac signal data, identifying a peak frequency over a subrange of frequencies associated with the extracted sliding window, detecting ectopic activity based at least on a measure of the peak frequency over the subrange of frequencies, in response to detecting ectopic activity, sending an indication of ectopic activity to a signal generator configured to generate pulsed waveforms for cardiac ablation such that the signal generator is deactivated or switched off from generating the pulsed waveforms. An apparatus can further include a processor for confirming pacing capture of the set of pacing pulses based on cardiac signal data.

Abstract: Methods and apparatus for monitoring a subject are described. A monitoring device configured to be attached to a body of a subject includes a sensor that is configured to detect and/or measure physiological information from the subject and a motion sensor configured to detect and/or measure subject motion information. The physiological sensor and motion sensor are in communication with a processor that is configured to receive and analyze signals produced by the physiological sensor and motion sensor. The processor is configured to process motion sensor signals to identify an activity characteristic of the subject. Once an activity characteristic is determined, the processor is configured to select a biometric signal extraction algorithm or circuit in response to the activity characteristic of the subject, and then process physiological sensor signals via the biometric signal extraction algorithm or circuit to produce physiological information about the subject.

Abstract: A lead for brain applications, comprises at least one distal section and at least one electrode, whereby the at least one electrode is arranged in the distal section and whereby the at least one electrode is connected directly and/or indirectly with at least one first connecting trace and at least one second connecting trace. Furthermore, in some examples, the lead relates to a deep brain stimulation (DBS) system.

Abstract: A medical device system includes a first medical device and a second medical device. The first medical devices includes a first measuring unit that acquires measurement data of vital signs of a patient and a first communication unit that transmits the measurement data acquired by the first measuring unit to the second medical device. The second medical device includes a second communication unit that receives the measurement data from the first communication unit. The first and second medical devices are configured so that if certification processing succeeds, the measurement data is permitted to be used in the second medical device.

Abstract: A variety of methods, medical devices, responder network servers, emergency services interfaces and call center related processes are described that can help improve responder networks designed to get a medical device such as an automated external defibrillator and/or volunteer responders to the scene of a potential medical incident.

Abstract: A wristband-type information processing device includes a band section configured to be worn on a wrist of a user; a sensor unit configured to detect a motion of the user; a vibration signal generating unit configured to generate a first vibration signal for vibrating another associated wristband-type information processing device according to the motion detected by the sensor unit; and a communication unit configured to transmit the first vibration signal generated by the vibration signal generating unit to the other wristband-type information processing device.

Abstract: A method and system for a user interface for artifact removal in an EEG is disclosed herein. The invention allows an operator to select a plurality of artifacts to be automatically removed from an EEG recording using a user interface. The operator pushes a button on the user interface to apply a plurality of filters to remove the plurality of artifacts from the EEG and generate a clean EEG for viewing.

Abstract: Systems, apparatus, and methods are disclosed for bi-directionally conveying biomedical signals between a patient and signal acquisition and processing devices.