Abstract: Systems and methods of reducing false alarms associated with a vital-sign monitor are disclosed. One or more data samples of a vital sign of a patient are generated at a first sampling rate in a normal mode of operation. Whether the one or more data samples satisfy an alert condition is determined. An alert mode of operation is entered into if the alert condition is satisfied. One or more additional data samples of the vital sign are generated at a second sampling rate higher than the first sampling rate in the alert mode.

Abstract: Cardiac monitor devices are described. An exemplary cardiac monitor device can take the form of an armband that can be worn by a user. The cardiac monitor device can be paired with an electronic device so that the user can access information of his or her heart activity. In one embodiment, the cardiac monitor device can include a body that can be worn at a limb of the user. The body can carry different electronic components. The electronic components can include an electrode configured to come into contact with a location of the limb and configured to measure a first electrical potential at the location. The electronic components can also include an antenna configured to capacitively couple with the body of the user to generate a second electrical potential. The electronic components can further include an amplifier configured to amplify the potential difference.

Abstract: A method for identifying changes in an epilepsy patient's disease state, comprising: receiving at least one body data stream; determining at least one body index from the at least one body data stream; detecting a plurality of seizure events from the at least one body index; determining at least one seizure metric value for each seizure event; performing a first classification analysis of the plurality of seizure events from the at least one seizure metric value; detecting at least one additional seizure event from the at least one determined index; determining at least one seizure metric value for each additional seizure event, performing a second classification analysis of the plurality of seizure events and the at least one additional seizure event based upon the at least one seizure metric value; comparing the results of the first classification analysis and the second classification analysis; and performing a further action.

Abstract: A method, including receiving a bipolar ECG signal from a location in the heart from the pair of electrodes, receiving a unipolar ECG signal from the location in the heart from a selected one electrode of the pair of electrodes, computing a local unipolar minimum derivative of the unipolar signal at a plurality of times of occurrences of the local unipolar minimum derivative, computing a bipolar derivative of the bipolar signal, evaluating a ratio of the bipolar derivative to the local unipolar minimum derivative at the plurality of times of occurrences of the local unipolar minimum derivative, annotating each time of occurrence as a time of activation of the myocardium at the location in the heart when the ratio is greater than a preset threshold value, merging two annotations that arise from a single occurrence as a single annotation, evaluating features of the annotations and assigning a confidence level to each feature, eliminating annotations that have a confidence level below a threshold and generating

Abstract: Methods and apparatuses, including devices and systems, for remote and detection and/or diagnosis of acute myocardial infarction (AMI). In particular, described herein are handheld and adhesive devices having an electrode configuration capable of recording three orthogonal ECG lead signals in an orientation-specific manner, and transmitting these signals to a processor. The processor may be remote or local, and it may automatically or semi-automatically detect AMI, atrial fibrillation or other heart disorders based on the analyses of the deviation of the recorded 3 cardiac signals with respect to previously stored baseline recordings.

Abstract: Cardiac repolarization activity can be mapped using action potential duration (“APD”) and/or activation recovery interval (“ARI”). APD can be measured using a bipolar electrogram signal measured, for example, using a monophasic action potential (“MAP”) catheter. ARI can be measured using unipolar electrogram signals. The electrogram signal is used to identify a depolarization tick time. A repolarization tick time can be identified using either a point in time when the electrogram signal passes below a threshold or via local maxima and minima of a first derivative of the electrogram signal. Diastolic intervals can also be computed using depolarization and repolarization tick times.

Abstract: The present disclosure relates to a method, device and system for amending a heartbeat type. The method includes: displaying an interface for presenting heartbeat waveforms; based on a user interface provided on the interface for presenting the heartbeat waveforms, detecting a currently triggered heartbeat type; and when detecting that at least one electrocardiogram waveform on the interface for presenting the heartbeat waveforms is selected, amending a heartbeat type of the selected at least one electrocardiogram waveform as the currently triggered heartbeat type. The technical solutions provided by the present disclosure can simplify operations for amending heartbeat types and thereby improve working efficiency.

Abstract: A system for providing a standard electrocardiogram (ECG) signal for a human body using contactless ECG sensors for outputting to exiting medical equipment or for storage or viewing on a remote device. The system comprises a digital processing module (DPM) adapted to connect to an array of contactless ECG sensors provided in a fabric or the like. A selection mechanism is embedded into the DPM which allows the DPM to identify body parts using the ECG signals of the different ECG sensors and select for each body part the best sensor lead. The DPM may then produce the standard ECG signal using the selected ECG signals for the different body parts detected. The system is adapted to continuously re-examine the selection to ensure that the best leads are selected for a given body part following a movement of the body part, thereby, allowing for continuous and un-interrupted ECG monitoring of the patient.

Abstract: A method, including receiving a bipolar signal from a pair of electrodes in proximity to a myocardium of a human subject, and receiving a unipolar signal from a selected one of the pair of electrodes. The method further includes delineating a window of interest (WOI) for the unipolar and bipolar signals, within the WOI computing local unipolar minimum derivatives of the unipolar signal, and times of occurrence of the local unipolar minimum derivatives, and within the WOI computing bipolar derivatives of the bipolar signal at the times of occurrence. The method also includes evaluating ratios of the bipolar derivatives to the local unipolar minimum derivatives, and when the ratios are greater than a preset threshold ratio value, assigning the times of occurrence as times of activation of the myocardium, counting a number of the times of activation; and classifying the unipolar signal according to the number.

Abstract: A method for performing location determination of a candidate area of a heart disorder, while applying information from an ECG device and a processing unit: obtaining a torso model and/or a heart model of a subject, for the purpose of determining locations, determining of an origin in the hearts model and torso model, obtaining the location information relating to a number of ECG electrodes relative to the torso model and/or hearts model of the subject, based on the location information in the torso model and/or heart model, positioning of the number of ECG electrodes, obtaining of electrode measuring information related to respective distinct ECG electrodes, constructing weighted vector is based on electrode measuring information while applying a predetermined ECG feature, relating the weighted vectors to the origin and the respective electrodes, based on the weighted vectors relative to the said origin, constructing of an initial anatomical feature vector.

Abstract: A blood pressure and cardiac monitoring system includes a sensing assembly, a processor, a memory, a communication interface, and any suitable computer implemented modules communicatively coupled to each other via a bus. The sensing assembly comprises of a first sensor (single or multi-axes) located at a first axis of a target generating a first time-dependent motion waveform representative of one or more contractile properties of the target's heart and a second sensor (single or multi-axes) located at a second axis of the target generating a second time dependent motion waveform representative of the target's blood flow. The first and second sensor can be integrated in a multi-axes sensor which sense both the axes. The processor is configured to receive the first time dependent motion waveform and the second time dependent motion waveform, and to determine a first time difference between a vital sign present in the first time dependent motion waveform and the second time dependent motion waveform.

Abstract: This disclosure provides one or more computer-readable media having computer-executable instructions for performing a method. The method includes storing geometry data representing a primary geometry of a cardiac envelope that includes nodes distributed across the cardiac envelope and geometry of a body surface that includes locations where electrical signals are measured. The body surface is spaced apart from the cardiac envelope. The method also includes perturbing the primary geometry of the cardiac envelope a given distance and direction to define the perturbed geometry of the cardiac envelope including nodes spaced from the nodes of the primary geometry. The method also includes computing reconstructed bipolar electrical signals on the nodes of the primary cardiac envelope based on the electrical signals measured from the body surface and the geometry data, including the primary and perturbed geometries of the cardiac envelope.

Abstract: A system and method for post-case analysis of cardiopulmonary resuscitation (CPR) performance trends is described. Such a system includes a processor configured to communicatively couple to a CPR metrics devices and to an output device and a memory including processor-executable instructions configured to cause the processor to receive, from the CPR metrics devices, treatment data including CPR performance data collected by the CPR metrics devices during medical treatment of one or more individuals, determine, from the CPR performance data, CPR performance metrics including a motion-based chest release parameter and at least one of chest compression depth and chest compression rate, and control the output device to concurrently display time trends of the CPR performance metrics, wherein the time trends indicate values of the CPR performance metrics over two or more equal time intervals during the medical treatment of the one or more individuals.

Abstract: Techniques and systems for monitoring cardiac arrhythmias and delivering electrical stimulation therapy using a subcutaneous implantable cardioverter defibrillator (SICD) and a leadless pacing device (LPD) are described. For example, the SICD may detect a tachyarrhythmia within a first electrical signal from a heart and determine, based on the tachyarrhythmia, to deliver anti-tachyarrhythmia shock therapy to the patient to treat the detected arrhythmia. The LPD may receive communication from the SICD requesting the LPD deliver anti-tachycardia pacing to the heart and determine, based on a second electrical signal from the heart sensed by the LPD, whether to deliver anti-tachycardia pacing (ATP) to the heart. In this manner, the SICD and LPD may communicate to coordinate ATP and/or cardioversion/defibrillation therapy. In another example, the LPD may be configured to deliver post-shock pacing after detecting delivery of anti-tachyarrhythmia shock therapy.

Abstract: An information authentication method, an apparatus, a storage medium and a virtual reality device are provided. The method includes obtaining to-be-authenticated information in the virtual reality scenario. The method further includes sending the to-be-authenticated information to an authentication device in a reality scenario, wherein the authentication device is used for performing authentication on the to-be-authenticated information. The method further includes receiving, in the virtual reality scenario, an authentication result sent by the authentication device, wherein the authentication result indicates that the to-be-authenticated information is authenticated successfully or fails to be authenticated.

Abstract: A method for inspecting images on printed products in a machine for processing printing substrates includes recording and digitizing the produced printed products by using at least one image sensor in an image recording system, comparing the recorded digital printed images having been created in this way with a digital reference image by using the computer, digitally eliminating distortion in the recorded digital printed images beforehand by using the computer and, if the recorded digital distortion-free printed images deviate from the digital reference image, removing printed products having been found to have a defect. For the purpose of digitally eliminating the distortions, the computer divides the print and reference images into respective image parts and adapts the printed image parts pixel by pixel in terms of their positions in the printed image to minimize the difference between the printed image parts and the respective reference image parts.

Abstract: A method of monitoring respiration with an acoustic measurement device, the acoustic measurement device having a sound transducer, the sound transducer configured to measure sound associated with airflow through a mammalian trachea, the method includes correlating the measured sound into a measurement of tidal volume and generating at least one from the group consisting of an alert and an alarm if the measured tidal volume falls outside of a predetermined range.

Abstract: Provided are methods and systems for monitoring cardiac function. A series of heartbeat waveforms is collected during a pre-determined time period. The series is collected either from an individual or a plurality of individuals. A heartbeat waveform space is generated based on the series of heartbeat waveforms. A test heartbeat waveform is projected onto the heartbeat waveform space. The projected heartbeat waveform is subtracted from the test heartbeat waveform to obtain a pathology descriptive deflections (PDD) vector. A score is calculated based on the PDD vector. Based on the score, a clinical indication associated with at least one disease is provided. The clinical indication includes a warning message regarding an upcoming cardiac episode or a measure of progression or regression of at least one cardiac pathology.

Abstract: Embodiments are disclosed for a wireless wearable computer with fitness machine connectivity for improved activity monitoring using caloric expenditure models.

Abstract: Medical device systems include processing circuitry configured to acquire sensed cardiac signals associated with cardiac activity of a heart of a patient, and to analyze the sensed cardiac signals to determine if a noise signal is present within the cardiac signals.

Abstract: Disclosed herein are systems, methods and a computer readable storage medium that determine an individual's movement during sleep. In some embodiments, the identification is based on data from a motion sensor included in wearable device. In some embodiments, the individual wears the wearable device on his wrist during the individual's resting and/or sleep activities. In some embodiments, the system, methods and the computer readable storage medium automatically identify the various (stages) types of sleep during an individual's sleep periods that include periods of REM sleep, deep sleep, and light sleep and that are indicative of the individual's overall well-being and health.

Abstract: A method of identifying and locating tissue abnormalities in a biological tissue includes irradiating an electromagnetic signal, via a probe defining a transmitting probe, in the vicinity of a biological tissue. The irradiated electromagnetic signal is received at a probe, defining a receiving probe, after the signal is scattered/reflected by the biological tissue. Blood flow information pertaining to the biological tissue is provided. Based on the received irradiated electromagnetic signal and the blood flow information, tissue properties of the biological tissue are reconstructed. A tracking unit determines the position of at least one of the transmitting probe and the receiving probe while the step of receiving is being carried out, the at least one probe defining a tracked probe. The reconstructed tissue properties are correlated with the determined probe position so that tissue abnormalities can be identified and spatially located.

Abstract: A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal using one or more filters. Model reduction schemes such as independent component analysis can additionally or alternatively be employed to extract the cardiac signal. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. The determined cardiac features can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.

Abstract: Identification of pulmonary diseases involves accurate auscultation as well as elaborate and expensive pulmonary function tests. Also, there is a dependency on a reference signal from a flowmeter or need for labelled respiratory phases. The present disclosure provides extraction of frequency and time-frequency domain lung sound features such as spectral and spectrogram features respectively that enable classification of healthy and abnormal lung sounds without the dependencies of prior art. Furthermore extraction of wavelet and cepstral features improves accuracy of classification. The lung sound signals are pre-processed prior to feature extraction to eliminate heart sounds and reduce computational requirements while ensuring that information providing adequate discrimination between healthy and abnormal lung sounds is not lost.

Abstract: A mobile electronic device is operable to detect and display a mental state of a user such as drowsiness. The mobile electronic device includes a heartrate sensor, a processor, and a display. The heartrate sensor is operable to provide a heartbeat signal indicative of a heartbeat of the user. The processor is operable to: acquire a beat-to-beat interval based upon the heartbeat signal and determine a drowsiness level of the user based at least in part upon the beat-to-beat interval. The display is operable to display an indication of the drowsiness level.

Abstract: An external defibrillator system such as a WCD is also capable of providing transthoracic pacing and drug delivery (e.g., pain-reducing drugs and/or a sedatives) to a patient. The drug(s) may be included in the therapy electrode electrolyte and dispensed for defibrillation, cardioversion and/or pacing therapy. Alternatively, the drug(s) may be stored in a separate reservoir and dispensed during pacing therapy. The drug(s) may be dispensed to a patient after a successful defibrillation therapy. The pacing therapy may be delivered a set time-period after the drug(s) were dispensed. A relatively small electric current may be delivered to the area of the patient on which the drug(s) were dispensed to facilitate drug absorption.

Abstract: An example method of compressing a data set includes determining whether individual values from a data set correspond to a first category or a second category of values. Based on one of the values corresponding to the first category, the value is added to a compressed data set. Based on one of the values corresponding to the second category, the value is excluded from the compressed data set, and a statistical distribution of values of the second category is updated based on the value. During a first phase, the determining is performed for a plurality of values from a first portion of the data set based on comparison of the values to criteria. During a second phase, the determining is performed for a plurality of values from a second portion of the data set based on the statistical distribution.

Abstract: A method and an apparatus for measuring a bioimpedance are disclosed. The apparatus includes a first electrical signal generator configured to generate a first electrical signal to measure a bioimpedance of an object. The apparatus also includes a compensation signal generator configured to generate a compensation signal to compensate a biosignal measured based on the first electrical signal, and an amplifier configured to amplify the compensated biosignal.

Abstract: An organ evaluation device, system, or method is configured to receive electrophysiological data from a patient or model organism and integrates the data in a computational backend environment with anatomical data input from an external source, spanning a plurality of file formats, where the input parameters are combined to visualize and output current density and/or current flow activity having ampere-based units displayed in the spatial context of heart or other organ anatomy.

Abstract: A system comprising a pair of devices to enable communication between a first person and a second person; a body-suit to be worn by the first person; and a model replica of the body-suit configured to receive the tactile stimuli and/or the electrical stimuli from the second person and to convert the tactile stimuli and/or the electrical stimuli into the electrical signals which are conveyed to the body-suit over a network; wherein the body-suit is configured to replicate the tactile stimuli and/or the electrical stimuli of the model replica and convey the tactile stimuli and/or the electrical stimuli to the first person; and wherein the system allows a human to send a physical sensation of touch remotely to another human.

Abstract: Methods, systems, and apparatus implementing a generalizable self-calibrating protocol coupled with machine learning algorithms in an exemplary setting of classifying perceptual states as corresponding to the experience of perceptually opposite mental states (including pain or no pain) are disclosed. An embodiment presented represents inexpensive, commercially available, wearable EEG sensors providing sufficient data fidelity to robustly differentiate the two perceptually opposite states. Low-computational overhead machine learning algorithms that can be run on a mobile platform can be used to find the most efficient feature handles to classify perceptual states as self-calibrated by the user. The invention is generalizable to states beyond just pain and pave the way towards creating EEG NFB applications targeting arbitrary, self-calibrated perceptual states in at-home and wearable settings.

Abstract: A method for providing a localization system with detailed information regarding a catheter's construction, while at the same time preventing operator input errors, for use in a three-dimensional localization field, including providing a catheter having at least one feature, providing a catheter catalog for use by the localization system, wherein the catheter catalog comprises reference data relating to features of the catheter, placing the catheter into the localization field, creating a map with the localization field, locating the catheter on the map, and correlating features of the catheter within the localization field with measurements made by the localization system when the feature is at various locations.

Abstract: A control system and method of selectively enabling an auto-shutoff feature of a control system for an aviation headset includes a power switch. The power switch is toggled and if the control system is in a powered down state, a startup sequence for the control system is initiated. During the startup sequence, a bias voltage detector checks for a bias voltage on a signal line of the headset. If a bias voltage is detected during the startup sequence, the auto-shutoff feature is enabled. The auto-shutoff feature periodically checks for a bias voltage and powers down the control system if no bias voltage is detected for a predetermined time interval. If no bias voltage is detected during startup, the auto-shutoff feature is disabled.

Abstract: In one embodiment, a computer-readable non-transitory storage medium embodies software that is operable when executed to, in real time, capture a number of images of a user; and determine a time-series signal for the user based on the plurality of images. The signal includes one or more segments that are physiologically plausible and one or more segments that are physiologically implausible. The software is further operable to identify one or more of the physiologically plausible sub-segments based on one or more pre-defined signal characteristics; and calculate one or more heartrate measurements based on the physiologically plausible sub-segments.

Abstract: A system for providing a standard electrocardiogram (ECG) signal for a human body using contactless ECG sensors for outputting to exiting medical equipment or for storage or viewing on a remote device. The system comprises a digital processing module (DPM) adapted to connect to an array of contactless ECG sensors provided in a fabric or the like. A selection mechanism is embedded into the DPM which allows the DPM to identify body parts using the ECG signals of the different ECG sensors and select for each body part the best sensor lead. The DPM may then produce the standard ECG signal using the selected ECG signals for the different body parts detected. The system is adapted to continuously re-examine the selection to ensure that the best leads are selected for a given body part following a movement of the body part, thereby, allowing for continuous and un-interrupted ECG monitoring of the patient.

Abstract: A method of pillow customization includes analyzing shapes associated with people through the use of sensors to create analytical data; receiving photos from a subject user through a first computing device and a server; determining a firmness of a mattress of the subject user based on the photos; determining body measurements of the subject based on the photos through one or more algorithms and a second computing device; providing the subject user with a pillow diagram, the pillow diagram having one or more zones, each of the one or more zones being customizable in firmness; receiving one or more subject user inputted selections through the first computing device; and designing a pillow based on the firmness of the mattress, the body measurements, and the one or more subject user inputted characteristics, the pillow being customized to the subject user.

Abstract: In a method for darkfield tracking at a sensor, it is determined whether an object is interacting with the sensor. Provided an object is not interacting with the sensor, a determination that a darkfield candidate image can be captured at the sensor is made. It is determined whether to capture a darkfield candidate image at the sensor based at least in part on the determination that a darkfield candidate image can be captured at the sensor. Responsive to making a determination to capture the darkfield candidate image, the darkfield candidate image is captured at the sensor, wherein the darkfield candidate image is an image absent an object interacting with the sensor. A darkfield estimate is updated with the darkfield candidate image.

Abstract: This document discusses, among other things, systems and methods to determine amplitude and morphology variations of a first heart sound over a first number of cardiac cycles, and to calculate an atrial fibrillation metric indicative of an atrial fibrillation episode of the heart using the determined amplitude and morphology variations. The systems and methods can determine a variability score using the determined amplitude and morphology variations, and can calculate the atrial fibrillation metric using the variability score.

Abstract: Devices, systems, and methods for remotely monitoring physiologic cardiovascular data are disclosed. At least some of the embodiments disclosed herein provide access to the external surface of the heart through the pericardial space for the delivery of the sensor to the epicardial surface of the heart. In addition, various disclosed embodiments provide for a memory device capable of receiving the physiologic cardiovascular data collected by the sensors and transmitting such data wirelessly to a remote location.

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

Abstract: The present invention relates to an medical interventional imaging device (1) for monitoring an interventional procedure, the medical interventional imaging device (1) comprising: a temporary data buffer (10) configured to temporarily store medical interventional fluoroscopic image data; a signal processor (20) configured to detect if an abnormal state occurs during an intervention and to record an instant at which the abnormal state has occurred; and a permanent data storage (30) configured to permanently store at least a part of the medical interventional fluoroscopic image data stored temporarily before and/or at the recorded instant if the abnormal state is detected.

Abstract: Methods and systems provide for quick and precise analysis of ECG data, with a simple and understandable visualization and an effective way of communicating the proposed diagnosis suggestion to the medical personnel. Systems and methods detect electrical potentials from at least one lead and process at least one signal. The measurement itself may be executed on the raw signal, to compare measured parameters with a set of criterions related to various diseases, for example to sudden death syndrome.

Abstract: Catheters, systems, and related methods for optimized for mapping, minimizing, and treating cardiac fibrillation in a patient, including an array of at least one stacked electrode pair, each electrode pair including a first electrode and a second electrode, wherein each electrode pair is configured to be orthogonal to a surface of a cardiac tissue substrate, wherein each first electrode is in contact with the surface to record a first signal, and wherein each second electrode is separated from the first electrode by a distance which enables the second electrode to record a second signal, wherein the catheter is configured to obtain one or more measurements from at least a first signal and a second signal in response to electrical activity in the cardiac tissue substrate indicative of a number of electrical circuit cores and distribution of the electrical circuit cores for a duration across the cardiac tissue substrate.

Abstract: A method is disclosed comprising: performing a first scan of an organ using a set of electrodes in a catheter that are currently active; deactivating one or more of the electrodes in the set based on data that is collected as a result of the first scan; tuning the set by at least one of (i) deactivating one or more electrodes in the set that remain active after the deactivating, and (ii) activating one or more electrodes in the catheter that are inactive; performing a second scan of the organ using electrodes in the set that are currently active after the tuning is performed, and generating a map of the organ based on data collected as a result of the second scan; and outputting the map of the organ for presentation to a user.

Abstract: A method for heart rate measurement in a photoplethysmograph (PPG) heart rate monitor device is provided that includes performing motion compensation on a PPG signal wherein a motion compensated PPG signal PPGaccX is generated with reference to an X-axis acceleration signal, a motion compensated PPG signal PPGaccY is generated with reference to a Y-axis acceleration signal, and a motion compensated PPG signal PPGaccZ is generated with reference to a Z-axis acceleration signal, combining PPGaccX, PPGaccY, and PPGaccZ to generate a final motion compensated PPG signal, wherein a first weight is applied PPGaccX, a second weight is applied to PPGaccY, and a third weight is applied to PPGaccZ, performing a single Fourier Transform (FT) on the final motion compensated PPG signal to generate a frequency domain PPG signal; and estimating a heart rate based on the frequency domain PPG signal.

Abstract: Cardiac catheterization is facilitated by generating first and second electroanatomic maps of a heart of a subject and designating common spatial locations that correspond to first electrical events on the first electroanatomic map and second electrical events on the second electroanatomic map. The common spatial locations of the first electroanatomic map and the second electroanatomic map are aligned to establish an aligned map, and using the location data on the aligned map to guide a probe to a point of interest.

Abstract: Methods, systems, and techniques for facilitating cognitive assessment are provided. Example embodiments provide a Cognitive Assessment Facilitator System CAFS, which facilitates the gathering and prediction of cognitive assessment of individuals using machine learning and sensors placed in the home of a resident. These predictive assessments can then be used by a clinician to further diagnose and/or provide health intervention. In one embodiment, the CAFS comprises a sensor input module, a machine learning engine (or algorithm as part of another component), a CAAB tool, and activity curve change engine (activity tools), and a reporting module 308. These components cooperate to process and transform smart home based sensor data into activity performance features and statistical activity features which are then processing through a machine learning engine to predict clinical cognitive assessment values.

Abstract: An animated electrophysiology map is generated from a plurality of data points, each including measured electrophysiology information, location information, and timing information. The electrophysiology and location information can be used to generate the electrophysiology map, such as a local activation time, peak-to-peak voltage, or fractionation map. Animated timing markers can be superimposed upon the electrophysiology map using the electrophysiology, location, and timing information. For example a series of frames can be displayed sequentially, each including a static image of the electrophysiology map at a point in time and timing markers corresponding to the state or position of an activation wavefront at the point in time superimposed thereon. The visibility or opacity of the timing markers can be adjusted from frame to frame, dependent upon a distance between the timing marker and the activation wavefront, to give the illusion that the timing markers are moving along the electrophysiology map.

Abstract: A computer-implemented method, a computer system and a non-transitory computer-readable medium for constructing human-readable sentences from imaging data of a subject can include: receiving imaging data including image elements of at least one region of interest of the subject; segmenting the imaging data of the region of interest into a plurality of sub-regions, where each sub-region includes a portion of the image elements; calculating an abnormality factor for each of the sub-regions by quantitatively analyzing segmented image information of the imaging data of the sub-regions using data from a normal database; comparing each abnormality factor to a threshold value; constructing a human-understandable sentence for the subject when a corresponding abnormality factor exceeds the threshold, where each human-understandable sentence references a physical structure threshold associated with the calculation for the region or sub-region; and outputting the human-understandable sentences for the at least one regio

Abstract: Web-based annotation of three dimensional medical imagery is provided. In various embodiments, a plurality of two dimensional medical images is read from a data store. The plurality of two dimensional images is a subset of a three dimensional medical imaging study. The plurality of two dimensional medical images is provided to a remote user. Regional annotations for each of the plurality of medical images are received from the remote user. A volumetric description of the three dimensional imaging study is generated by interpolation of the regional annotations. The volumetric description of the three dimensional imaging is provided for rendering and display to the remote user.