Abstract: The present invention describes a method and system for non-invasive management and monitoring of intracranial pressure and a device for measuring of a skull volumetric variation. Specifically, the present invention comprises detecting and receiving the analog signal of the skull volumetric variation of a user, processing its signal and transmitting the processed signal to a pre-configured receiver. The present invention is situated in the technical fields of medicine, biomedicine, neuro science, measuring of physical quantity and electrical engineering.

Abstract: Systems and methods may monitor electrical activity of a patient's heart using electrodes during delivery of cardiac conduction system pacing therapy, generate electrical heterogeneity information (EHI) based on the monitored electrical activity during delivery of cardiac conduction system pacing therapy, and determine whether the cardiac conduction system pacing therapy would benefit from supplemental cardiac pacing therapy based on the generated EHI.

Abstract: Long-term electrocardiographic and physiological monitoring over a period lasting up to several years in duration can be provided through a continuously-recording subcutaneous insertable cardiac monitor (ICM). The sensing circuitry and the physical layout of the electrodes are specifically optimized to capture electrical signals from the propagation of low amplitude, relatively low frequency content cardiac action potentials, particularly the P-waves that are generated during atrial activation. In general, the ICM is intended to be implanted centrally and positioned axially and slightly to either the left or right of the sternal midline in the parasternal region of the chest. Additionally, the ICM includes an ECG sensing circuit that measures raw cutaneous electrical signals and performs signal processing prior to outputting the processed signals for sampling and storage.

Abstract: A system for monitoring a driver comprises that a first sensor configured to detect first physical condition information of the driver, a second sensor configured to detect first driving state information of a vehicle; and a controller configured to determine whether a physical condition of the driver is abnormal on the basis of the first physical condition information, and determine whether a driving pattern of the driver is abnormal on the basis of the first driving state information.

Abstract: Conventionally, Atrial Fibrillation (AF) has been detected using atrial analyses which is vulnerable to background noise. Again there is a dependency on statistical features which are extracted from R-R intervals of long ECG recordings. The present disclosure addresses AF detection from single lead short ECG recordings of less than one minute wherein automatic detection of P-R and P-Q intervals is difficult, which introduces error in feature computing from the segregated intervals and compromises the performance of the classifier. In the present disclosure, a Recurrent Neural Network (RNN) based architecture comprising two Long Short Term Memory (LSTM) networks is provided for temporal analysis of R-R intervals and P wave regions in an ECG signal respectively. Output sates of the two LSTM networks are merged at a dense layer along with a set of hand-crafted statistical features to create a composite feature set for classification of the AF.

Abstract: An automatic recognition and classification method for electrocardiogram heartbeat based on artificial intelligence, comprising: processing a received original electrocardiogram digital signal to obtain heartbeat time sequence data and lead heartbeat data; cutting the lead heartbeat data according to the heartbeat time sequence data to generate lead heartbeat analysis data; performing data combination on the lead heartbeat analysis data to obtain a one-dimensional heartbeat analysis array; performing data dimension amplification and conversion according to the one-dimensional heartbeat analysis array to obtain four-dimensional tensor data; and inputting the four-dimensional tensor data to a trained LepuEcgCatNet heartbeat classification model, to obtain heartbeat classification information.

Abstract: An implantable vagus nerve stimulation (VNS) system includes a sensor configured to measure ECG data for a patient, a stimulation subsystem configured to deliver VNS to the patient, and a control system configured to perform a heart rate variability analysis with the ECG data. In some aspects, performing the heart rate variability analysis includes measuring R-R intervals between successive R-waves for the ECG data measured during a stimulation period and a baseline period, plotting each R-R interval against an immediately preceding R-R interval for each of the stimulation period and the baseline period, and determining at least one of a standard deviation from an axis of a line perpendicular to an identity line for each of the stimulation period plot and the baseline period plot or a centroid of each of the stimulation period plot and the baseline period plot.

Abstract: Certain aspects relate to systems and techniques for luminal network navigation. Some aspects relate to incorporating respiratory frequency and/or magnitude into a navigation system to implement patient safety measures. Some aspects relate to identifying, and compensating for, motion caused by patient respiration in order to provide a more accurate identification of the position of an instrument within a luminal network.

Abstract: The presence of a cardiac pulse in a patient is determined by evaluating physiological signals in the patient. In one embodiment, a medical device evaluates optical characteristics of light transmitted into a patient to ascertain physiological signals, such as pulsatile changes in general blood volume proximate a light detector module. Using these features, the medical device determines whether a cardiac pulse is present in the patient. The medical device may also be configured to report whether the patient is in a VF, VT, asystole, or PEA condition, in addition to being in a pulseless condition, and prompt different therapies, such as chest compressions, rescue breathing, defibrillation, and PEA-specific electrotherapy, depending on the analysis of the physiological signals. Auto-capture of a cardiac pulse using pacing stimuli is further provided.

Abstract: Described herein is a method for identifying a farm animal having an impairment of regulative capacity in response to metabolic stress, the method including: a) assessing the value of the nonlinear domain heart rate variability component LMAX of a farm animal based on a heart beat interval data set obtained for the farm animal; and b) comparing the value of LMAX assessed according to (a) with a species specific threshold of LMAX, whereby a farm animal having an impairment of regulative capacity will be identified.

Abstract: When a user uses a finger to press and hold a first candidate display area, the first candidate display area is enclosed in a selection frame (W1), a simple window (W10) is displayed, and analysis results relating to a first candidate segment waveform are displayed in this simple window (W10). Analysis results can therefore be confirmed without switching screens and, as a result, inspection results can be confirmed with fewer steps and an electrocardiographic waveform and analysis results therefor can be compared on the same screen.

Abstract: A charging method using an electrode of a biometric sensor, and an electronic device using the same. A wearable electronic device includes a housing, at least one electrode exposed outwards from one surface of the housing, a battery provided inside the housing, a charger circuit connected electrically to the battery, at least one sensor, a switch configured to connect the charger circuit or the at least one sensor to the at least one electrode, and a processor connected electrically to the charger circuit, the at least one sensor, and the switch. The processor is configured to determine whether the wearable electronic device is coupled to a body, based on a signal acquired through the at least one sensor, and control the switch to connect the charger circuit or the at least one sensor to the at least one electrode in correspondence with a result of the determination.

Abstract: Systems, methods, and devices for determining a temporal duration of a rest period using motion data are described herein. In one exemplary embodiment, one or more data filters are applied to received motion data to generate one or more data sets of the motion data. The motion data represents an amount of activity experienced by an individual over the course of a period of time, such as one day. An iterative process is performed to identify a starting point and an ending point of a rest period using the generated data set(s). After the starting and ending points are identified, a temporal difference between the starting and ending points is calculated, and a total temporal duration of the rest period is determined.

Abstract: An electronic device that can be worn on a user's body and an operating method thereof. An electrode for charging and measuring is included in a front side of the electronic device. The electronic device includes a battery, a charging circuit for charging the battery, a bio-sensor, and a processor. The processor is configured to determine whether the battery is being charged through the charging circuit. If the battery is not being charged, the processor is configured to acquire biometric information by using a first method through the bio-sensor, and if the battery is being charged, the processor is configured to acquire the biometric information by using a second method through the bio-sensor.

Abstract: A biological information measurement device includes a photoplethysmographic sensor that detects a photoplethysmographic signal, an envelope detection processor that generates an envelope of the photoplethysmographic signal, and an amplitude normalization processor that normalizes amplitude of the photoplethysmographic signal to a desired amplitude value based on amplitude of the envelope. The device further includes an adaptive line spectrum enhancer that is capable of varying a filter coefficient, suppressing an aperiodic component contained in the normalized photoplethysmographic signal, and outputting a periodic component. A biological information obtainment unit is provided to obtain biological information such as a pulse rate based on an output signal from the adaptive line spectrum enhancer.

Abstract: This document discusses, among other things, systems and methods to acclimate a patient to therapy from an implantable medical device. For instance, an implantable medical device can include pulse generation circuitry, sensing circuitry, and a controller. The pulse generation circuitry can generate electrical pulses. The sensing circuitry can be for sensing cardiac electrical activity of the patient. In an example, the controller can detect cardiac events that define pacing timing intervals and control the delivery of electrical pulses in accordance with a programmed mode. The controller can be programmed to provide instructions to the pulse generation circuitry to deliver electrical pulses to the heart of a patient. In an example, the electrical pulses can be based on a therapy parameter. The controller can be configured to adjust the therapy parameter according to an acclimation profile to acclimate the patient to a stimulation therapy.

Abstract: A method for providing activity data to a user for a workout session includes receipt of first activity data from a first activity sensor and receipt of second activity data from a second activity sensor during the workout session. A first parameter is generated for a workout attribute based on the first activity data received during a first time interval of the workout session, and a second parameter is generated for the workout attribute based on the second activity data received during a second time interval of the workout session. An aggregate parameter for the workout attribute is generated based on both the first parameter and the second parameter. The first activity data and the second activity data generated during the workout session are transmitted to a remote server where a third parameter for the workout attribute is generated.

Abstract: Disclosed examples include heart rate monitor systems and methods to estimate a patient heart rate, in which a processor filters digital photoplethysmogram (PPG) sample values representing transmission or reflection of a light signal in the patient during a time window, performs motion compensation processing on the filtered values, computes a gain value for individual segments of the time window using the motion compensated values, applies the individual gain values to the motion compensated values of blocks associated with the corresponding segments, and determines a heart rate estimate value representing the patient heart rate according to the frequency content of the adjusted values.

Abstract: An occupant support adapted for use in a vehicle includes a sensory system and a control system. The sensor system is configured to generate signals indicative of at least one of a physiological characteristic of the occupant.

Abstract: An apparatus and method for providing physiological state information are provided. The apparatus includes a wearable electronic device. The wearable electronic device includes a sensor module configured to measure motion of the wearable electronic device, a display configured to provide a user interface (UI) including movable particles displayed on the display, and a processor configured to reduce the number of the displayed movable particles based on the measured motion of the wearable device.

Abstract: A method for collecting and analyzing urine at the time it is released uses a urine collecting tube joined with a canister. Suction is produced in the collecting tube to join the tube with a penis or to the exterior surface of a female urethra orifice. Once suction is achieved the collecting tube stays in place by suction action. When urine flows into the urine collecting tube a sensor triggers a vacuum pump to produce a higher level of suction to flush the urine into the canister where a level sensor determines the quantity of urine received. Various sensors in the canister determine levels of non-urine partials such as occult blood, drugs, salt, and other substances. When urine is no longer detected within the urine tube, the vacuum pump is turned off and a low-level vacuum remains to assure interconnection with the urine tube.

Abstract: Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and/or combinations thereof. Additionally or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site.

Abstract: Systems, methods, apparatuses and devices for detecting facial expressions according to EMG signals for a virtual and/or augmented reality (VR/AR) environment, in combination with a system for simultaneous location and mapping (SLAM), are presented herein.

Abstract: A head-mount type display device includes an image display device adapted to allow a user to visually recognize an image in a state of being mounted on a head of a user, a detection section disposed in the image display device and adapted to detect biological information of the user, a control section adapted to perform control of the image visually recognized by the user using the image display device, and an annunciation section adapted to inform the user of image control information as information related to the control of the image based on a variation in the biological information detected.

Abstract: Methods, devices and systems for obtaining heart rate by obtaining apical and non-apical heart rate datum using first and second heart rate monitoring devices. The apical and non-apical heart rate data are input into a heart rate verification module (HRVM) that includes a number of programming instructions for effecting the invention. An apical heart rate measure and non-apical heart rate measure are calculated in the HRVM, and an acceptable heart rate range is generated using the apical heart rate measure. Whether the non-apical heart rate measure is a reliable measure of a true heart rate is identified by determining whether the non-apical heart rate measure falls within or outside the acceptable heart rate range. A split display screen of the HRVM displays the apical heart rate measure, non-apical heart rate measure, and information identifying whether the non-apical heart rate measure falls within or outside the acceptable heart rate range.

Abstract: Systems, methods, and devices are provided for determining an exertion recommendation for an anticipated exercise session. One such system includes a wearable device comprising a biosensor that monitors biometrics (e.g. heart rate); a motion sensor that monitors activity; a processor operatively coupled to the biosensor, the processor configured to process electronic signals periodically generated by the biosensor and the motion sensor; and a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to execute specific functions. In particular, the instructions are executed to cause the processor to generate biometric data from the biometrics (e.g. heart rate information in particular). Further, the instructions are executed to generate an exertion recommendation based on an exertion model created from and representing a relationship between prior exertion measures and prior response profile measures.

Abstract: A receiver for an optical communications system which corrects distortion of a received signal. A clock recovery system utilizing a feedback and feedforward system are provided. The feedback loop comprises a phase detector and a clock source, while the feedforward loop comprises the phase detector and a delay element for delaying the output of distortion correction system. The feedback loop has a significantly lower bandwidth than the feedforward path. There are also provided methods of optimizing tap weights and of acquiring initial tap weights.

Abstract: Provided is an ultrasound diagnostic apparatus that measures an elastic modulus of a vascular wall, the apparatus allowing selection of a heartbeat suitable for the measurement of the elastic modulus. The problem is solved by storing M-mode images at predetermined intervals in the azimuth direction in a B-mode image, selecting a position in the azimuth direction in the B-mode image, and displaying the M-mode image of the selected position together with the B-mode image.

Abstract: The invention relates to a coupling and method in a heart-rate measuring apparatus. The coupling in the heart-rate measuring apparatus (10) comprises means (1, 2, 3, 4, 5) for measuring heart rate and means for wireless data transmission (7). According to the invention, the heart-rate measuring device (10) comprises means (1, 2, 3, 4, 5) implemented by analog electronics for defining the maximum value of the heart-rate signal, or a parameter proportional to it.

Abstract: The present invention relates to a method and apparatus for determining an exercise parameter during a physical performance or after it. In the method the pulse of the heart is measured by means of a sensor, the pulse value is determined on the basis of the measurement and the said exercise parameter is calculated on the basis of the pulse value. According to the invention, a recovery pulse value is determined on the basis of the pulse value and previously determined pre-data, the value being dynamically varied during the exercise and the said exercise parameter being defined by using the recovery pulse value. With the invention, it is possible to accurately estimate the recovery time required after the performance as well as the energy consumption during the performance.

Abstract: An optical heart rate sensor stores data indicating the timing of heart beats in a first-in-first-out rolling buffer. During a first condition, new data is added to the rolling buffer and adjusted such that a duration preceding a newly detected heart beat is closer to an average duration between each pair of consecutive heart beats stored in the rolling buffer if the duration preceding the newly detected heart beat differs from the average duration by more than a duration threshold. The rolling buffer is cleared when a number of data adjustments over a predetermined time period exceeds a counting threshold. The rolling buffer is then repopulated such that the duration between each pair of consecutive heart beats is equal to a most recent duration between consecutive heart beats that did not differ from the average duration by more than the duration threshold.

Abstract: Methods and apparatuses for operating a portable device based on an accelerometer are described. According to one embodiment of the invention, it is determined whether a portable device is moving using an accelerometer. It is determined a moving pattern of the portable device based on movement data provided by the accelerometer. A media content is selected based on the moving pattern of the portable device. The selected media content is played via the portable device. Other methods and apparatuses are also described.

Abstract: A vehicular exercise system includes an exercise monitoring apparatus configured to communicate with a vehicle including one or more internal structures including at least one seat and a steering wheel. The at least one exercise monitoring apparatus includes processing circuitry configured to detect one or more exercise activities performed at the one or more internal structures and actuate the vehicle based on the one or more detected exercise activities. The processing circuitry is further configured to monitor one or more physiological parameters of the one or more detected exercise activities, determine a recommendation regarding future exercise activities based on the one or more physiological parameters, and output one or more notifications corresponding to the one or more physiological parameters and the determined recommendation.

Abstract: A method for preventing dozing off, comprising the steps of: a measurement step measuring human heartbeats; a decision step (S4 to S8) generating a trigger, hereinafter referred to as a “drowsiness trigger”, for indicating occurrence of drowsiness when a state in which a time interval between adjacent heartbeats, hereinafter referred to as a “heartbeat interval”, is longer than the previous heartbeat interval consecutively occurs; and a warning step (S9) giving a warning to prevent dozing off when the drowsiness trigger is generated.

Abstract: The invention relates to a method and device for recording and presentation of physiological parameters, which can include both blood pressure and heart pulse. Information about the heart pulse is derived from a recorded blood pressure signal, whereby the need for e.g. an external ECG measurement device is eliminated. It is likewise a part of the invention that a blood pressure measurement is used for the derivation of data such as Heart Rate Variability (HRV) and/or baroreflex sensitivity (BRS) values.

Abstract: An electrocardiographic device for sensing cardiac activity in a user, the electrocardiographic device comprising: plurality of electrodes provided at a surface of the device for electrical engagement with a pair of extremities of a user; one or more movement sensors arranged to, in use, detect movement of a user's extremities; and a control unit configured to receive electrical signals from the electrodes and to, in use, process said signals in dependence on the output of the one or more movement sensors so as to filter variations from the signals due to movement of the user's extremities.

Abstract: An athletic training system includes a personal electronic device having a processor, a memory, and a GPS sensor. The processor runs an application that calculates at least one of distance traveled, elevation change, and speed, of the user carrying the personal electronic device, and based upon location information obtained from the GPS sensor provides a training-related message to the user based upon at least one of the calculated distance traveled, elevation change, and speed.

Abstract: Systems, methods, and devices are provided for compressing a variety of signals, such as measured signals from a hydrocarbon operation, that may be stored and/or transmitted in compressed form. Segmentation tools and techniques are used to compress the signals. Segmentation techniques include breaking a signal into segments and representing the data samples of the signal as segment boundary points, which may reflect where changes occur in the signal, and segment parameters, which may be utilized to model the segmented data. Embodiments can be used in real-time or in batch modes. New data samples can influence previous segment boundary points and/or segment parameters in some cases. Systems may modify what has already been stored or displayed as a result in revising segmentation information based on analysis utilizing the new data samples. Embodiments may utilize different Bayesian analysis techniques including the use of prior probability distributions and maximum a posteriori analyses.

Abstract: Methods and apparatus for assessing cardiac risks based on heart activity data obtained during a recovery stage of an exercise test of a specific patient. An embodiment of a method comprises determining a prognostic period of the heart activity data after a time t0 after a peak heart rate of the exercise test, and ascertaining a risk indicator. The risk indicator is based on (a) the heart rate activity data during the recovery stage only after time t0 and (b) a post-exercise heart rate reserve based on a post-exercise resting heart rate. This embodiment of the method further includes providing an assessment of cardiac risk of a specific patient based on the ascertained risk indicator.

Abstract: Systems and methods are discussed for providing sensor enhanced safety, recovery, and activity evaluation systems. Sensors that monitor user activity and behavior are worn by a user and/or placed in the user environment. Data from the sensors are processed to obtain a safety, recovery, and/or activity evaluation. Based on the evaluation, recommendations or adjustments to the terms of an insurance policy covering the user, the user's employer, or a facility providing health care to the user to accurately reflect the risks associated with the user, employer, and/or facility.

Abstract: Production data are streamed by a shop floor (a field) of a plant towards a data compression processor inside a MES/ERP server. The data stream is segmented in field data intervals of variable duration, each one carrying a tag composed of initial timespan s°, final timespan e°, and the variation v° undergone by the monitored variable. The processor takes a first incoming tag and calculates a data compression interval of constant duration y which is a function of e°, then it creates a vector [s°, e°, v°, m=v°, n=e°?s°]. Until the incoming tags fall into the current compression interval, subsequent variations v° are summed up and subsequent s° and e° updated, obtaining an updated vector [s, e, v, m, n], otherwise the compression vector is stored in a SQL database and a new compression interval entered.

Abstract: A system for analyzing cardiac electrophysiological signals includes an acquisition processor for acquiring signal data representing heart electrical activity over multiple heart cycles. An individual heart cycle comprises a signal portion between successive sequential R waves. A time interval detector uses a signal peak detector for detecting multiple successive time intervals including individual time intervals comprising a time interval between a first peak occurring in a first heart cycle and a second peak occurring in at least one of, (a) a successive sequential second heart cycle and (b) a third heart cycle successive and sequential to the second heart cycle. A data processor processes the multiple detected successive time intervals by, determining at least one interval parameter of, a mean, variance and standard deviation of the time intervals and generating an alert message in response to the interval parameter.

Abstract: A method for predicting drowsiness is disclosed. By obtaining average heart beat rate values of a driver, and according to the characteristics of the heart beat rate values over a period of time, the method is utilized to determine whether the human being is going to sleep. The method comprises the following steps: detecting a heart beat rate of a driver; calculating a curve of the heart beat rate average during a time interval of X minutes; determining an accumulated length of duration during which the calculated linear regression slope values are smaller than the predetermined slope value Z; determining whether the accumulated length of duration is greater than a time threshold T to generate a drowsiness detecting result; and determining whether to raise an alarm based on the drowsiness detecting result.

Abstract: The present invention provides a new non-invasive technique for organ, e.g., heart and lung, monitoring. In at least one embodiment of the invention, a subject is radiated with a non-harmful and relatively low power electromagnetic source diagnostic signal normally associated with a communications protocol such as, but not limited to a version of the IEEE 802.11(x) family of protocols in the 2.4, 3.6, or 5 GHz spectrum bands. After passing through the patient, a return signal is acquired from the patient and compared to the original source signal. The differences between the source and modified signals are then analyzed to monitor the heart, e.g., measure heart rate and detect defects within the heart, and the lung. For example, using Doppler Effect principles, heart rate and motion can be measured from the differences in frequency, phase, and/or wavelength between the source signal and the modified signal reflected back from the heart moving within the patient.

Abstract: A biological signal measuring apparatus that is provided with an oscillatory wave detection apparatus, an oscillatory wave period measuring part, a group memory apparatus that is configured to collect the periodic data and to store the periodic data as a group signal, and a vibration frequency calculation apparatus. The vibration frequency calculation apparatus is provided with a section discrimination part configured to compare the group signal with a predetermined value to carry out a section discrimination, a section memory part configured to store to a plurality of sections, a weight coefficient memory part configured to store a weight coefficient, and an oscillatory wave period weighted average value calculation part.

Abstract: Described herein are implantable systems and devices, and methods for use therewith, that can be used to perform arrhythmia discrimination. A plurality of different sensing vectors are used to obtain a plurality of different IEGMs, each of which is indicative of cardiac electrical activity at a different ventricular region. The plurality of different IEGMs can include, e.g., an IEGM indicative of cardiac electrical activity at a first region of the patient's left ventricular (LV) chamber and an IEGM indicative of cardiac electrical activity at a second region of the patient's LV chamber. Additionally, the plurality of different IEGMs can further include an IEGM indicative of cardiac electrical activity at a region of a patient's right ventricular (RV) chamber. For each of the IEGMs, there is a determination of a corresponding localized R-R interval stability metric indicative of the R-R interval stability at the corresponding ventricular region. This can include, e.g.

Abstract: The present invention provides a new non-invasive technique for organ, e.g., heart and lung, monitoring. In at least one embodiment of the invention, a subject is radiated with a non-harmful and relatively low power electromagnetic source diagnostic signal normally associated with a communications protocol such as, but not limited to a version of the IEEE 802.11(x) family of protocols in the 2.4, 3.6, or 5 GHz spectrum bands. After passing through the patient, a return signal is acquired from the patient and compared to the original source signal. The differences between the source and modified signals are then analyzed to monitor the heart, e.g., measure heart rate and detect defects within the heart, and the lung. For example, using Doppler Effect principles, heart rate and motion can be measured from the differences in frequency, phase, and/or wavelength between the source signal and the modified signal reflected back from the heart moving within the patient.

Abstract: A disposable heart rate indicator is provided. The disposable heart rate indicator has a power source for generating power to the heart rate indicator, at least two electrodes for detecting a person's heart beat, a processor and a light signal emitting head. The processor is operatively coupled to the at least two electrodes and is configured to receive a signal on each heart beat detected by the electrodes and visually indicate a detected heart rate via optical light emitted by the light signal emitting head. The heart rate indicator further includes a conductor coupled between the light signal emitting head and the processor. The conductor is arranged to extend from a heart beat detection area formed by the electrodes and the processor such that the light signal emitting head is visible during use.

Abstract: Techniques for evaluating cardiac electrical dyssynchrony are described. In some examples, an activation time is determined for each of a plurality of torso-surface potential signals. The dispersion or sequence of these activation times may be analyzed or presented to provide variety of indications of the electrical dyssynchrony of the heart of the patient. In some examples, the locations of the electrodes of the set of electrodes, and thus the locations at which the torso-surface potential signals were sensed, may be projected on the surface of a model torso that includes a model heart. The inverse problem of electrocardiography may be solved to determine electrical activation times for regions of the model heart based on the torso-surface potential signals sensed from the patient.

Abstract: A personal electronic device is configured to unobtrusively detect heart rate and rhythm anomalies utilizing an electrocardiogram (EKG)-based detection and monitoring method. As one example, while a user is using the personal electronic device for its intended function, such as communicating, playing music, and/or watching videos, the personal electronic device may be unobtrusively detecting and recording a user's heart rate and heart rhythm to detect anomalies. For instance, while a user is making a phone call, electrodes of the personal electronic device located in the vicinity of the earpiece and on the handset, may come into contact with a user's ear and a user's hand respectively. Thus, while the personal electronic device is being consciously used for a function other than EKG monitoring, EKG monitoring is unobtrusively occurring.