Abstract: A system and method for voltage-guided anatomical shell editing includes outputting, to a display device, an anatomical shell of a cardiac structure. The anatomical shell is based on signals sensed by a mapping probe, each signal including a respective sensed voltage. User input specifying a first target depth for editing is received, as is a selection of a first region of the anatomical shell. A modified anatomical shell is generated by removing a first portion of the anatomical shell including the selected first region to a first editing depth based on the first target depth and generating a new surface region on the modified anatomical shell. Based on the voltage associated with the new surface region, the edit can be maintained, undone, and/or modified.

Abstract: Example electronic devices, including but not limited to implantable medical devices, and methods employing dynamic announcing for creation of wireless communication connections are disclosed herein. In an example, an electronic device includes a wireless communication interface to transmit announcement signals for creating a wireless communication connection with the external device. The electronic device also includes a sensor to detect a characteristic of an environment external to the electronic device, and a control circuit including an announcement timing control module to dynamically control timing of the announcement signals based on the detected characteristic.

Abstract: The exemplary systems and methods may be configured to monitor electrical activity from a patient using a plurality of external electrodes. The exemplary systems and methods may be further configured to provide a model heart representative of the patient's heart based on at least one of a plurality of patient characteristics. The model heart can include a plurality of segments. The exemplary systems and methods may be further configured to determine a value of electrical activity for each of a plurality of anatomic regions of the model heart based on the mapped electrical activity. Each of the plurality of anatomic regions can include a subset of the plurality of segments.

Abstract: A system for noninvasively determining at least one physiological characteristic of a patient may include at least one computer system configured to, using a three-dimensional surface mesh model created using patient-specific imaging data, create a three-dimensional combined surface and volume mesh model, including at least a first model portion that has a different spatial resolution than at least a second model portion. The computer system may be further configured to input the three-dimensional surface and volume mesh model into a fluid simulation system and determine a measurement of the physiological characteristic, using the fluid simulation system.

Abstract: In some embodiments, an electronic device for monitoring EEG data, may include one or more of the following features: (a) a housing, (b) a processor disposed within the housing, (c) at least one sensor operatively connected to the processor, (d) at least two EEG electrodes operatively connected to the processor and positioned on the housing for receiving EEG signals from an ear surface, and (e) a plurality of EEG electrodes, wherein the processor measures the impedance of the plurality of EEG electrodes.

Abstract: A heart-rate associated with a heartbeat signal is determined. A transform is selected based on the determined heart-rate associated with the heartbeat signal and a reference heart-rate associated with a dictionary of a sparse approximation model. The transform is selected independent of other factors associated with generation of the heartbeat signal. The selected transform is applied to the dictionary of the sparse approximation model, generating an adjusted dictionary of the sparse approximation model. Anomalous heartbeats in the heartbeat signal are detected using the adjusted dictionary of the sparse approximation model.

Abstract: A mobile cardiac monitoring device is disclosed. The mobile cardiac monitoring device receives voltage-time measurements of a subset of electrocardiogram (ECG) leads for a user, and derives a full set of ECG leads from the voltage-time measurements of the subset of ECG leads. The mobile cardiac monitoring device calculates a heart rate and monitors the cardiac rhythm of the user based on at least one of the subset of ECG leads and calculates a cardiac electrical biomarker (CEB) based on the derived ECG. The mobile cardiac device detects a trigger condition based on the calculated CEB and transmits an alert in response to detecting the trigger condition.

Abstract: A computer-implemented method for processing ECG data may include: receiving, over an electronic network, ECG data, wherein the ECG data represents a plurality of heartbeats; analyzing the ECG data, by at least one processor, to determine whether each of the plurality of heartbeats is a normal heartbeat or an abnormal heartbeat; associating, by the at least one processor, each of the abnormal heartbeats with either only one of a plurality of existing templates or a new template; receiving, from a user, input related to each new template, wherein the input includes either: a) a confirmation that the new template represents an abnormal heartbeat, or b) a reclassification of the new template as representing a normal heartbeat or a different abnormal heartbeat; and in response to the user input, updating, by the at least one processor, a label of each of the heartbeats associated with each confirmed new template and each of the heartbeats associated with each reclassified new template.

Abstract: A messaging application for use on electronic devices, each electronic device having a display and a connection to a communication system. The application has two modes, a first mode in which the symbols of text messages are concealed and a second mode in which the symbols of a text message are displayed, the application controlling the display of text on the display according to an algorithm. The algorithm detects whether the application is in the first mode or the second mode, and if the application is in the first mode the current symbol entered is displayed and any previously entered symbols entered with the application in the first mode are concealed.

Abstract: A heartrate monitor detects heartbeats in a test signal. A local heartrate and an energy of acceleration are associated with the detected heartbeats. Detected heartbeats are included or excluded from a test set of heartbeats based on the local heartrate and energy of acceleration associated with the respective heartbeats. Anomalous heartbeats in the test set of heartbeats are detected using a sparse approximation model. The heartrate monitor may detect heartbeats in a training heartbeat signal. A reference heart rate and an energy of acceleration are associated with detected beats of the training heartbeat signal and selectively included in a set of training data based on the heart rate and energy of acceleration associated with the detected beat in the training heartbeat signal. A dictionary of the sparse representation model may be generated using the set of training data.

Abstract: A device, system and related methods for monitoring a mammal with heart failure, kidney disease or both, to make predictions about the likelihood of a life threatening ventricular arrhythmia. The device, system and related methods can have one or more sensors in electronic communication with a processor, the sensors determining one or more physiological parameters of a patient, and communicating the physiological parameter to the processor, and the processors using an algorithm to determine the probability of a ventricular arrhythmia based on the physiological parameters.

Abstract: A system for recording intracardiac signals and for providing stimulation pulses and/or ablation energy at intracardiac locations. The system includes intracardiac terminals adapted to collecting intracardiac electrophysiological potentials from respective intracardiac locations in an individual; an indifferent terminal adapted to collecting indifferent electro-physiological potentials from the individual; a differential amplifier stage adapted to receiving and amplifying the electrophysiological potentials collected from the intra-cardiac and indifferent terminals with respect to a signal reference to obtain respective intracardiac and indifferent signals; a processor device adapted to determining a common mode signal as an average of the intracardiac and indifferent signals and adapted to providing an output of intracardiac data based at least on the intracardiac signals, wherein the intracardiac signals are referenced with respect to the common mode signal.

Abstract: A portable device including a gesture recognizer module for automatically detecting a specific sequence of gestures is described. The portable device may be used to detect a health, safety, or security related event. The portable device may further include an emergency event module for automatically determining whether the sequence of gestures corresponds to an emergency event. The portable device may further include a proximity detection module for automatically determining whether a mobile device corresponding to a user listed as an emergency contact is in a state of proximity to the portable device. The portable device may further include a notification module for automatically transmitting a message, indicating the emergency event, to the user of the mobile device determined to be in the state of proximity.

Abstract: Methods and apparatuses are provided for neutral drive feedback loop compensation of detected electrosurgical unit signals. An apparatus includes an electrosurgery unit (ESU) signal detection circuit, a compensation switch, and an ESU filter switch. Both switches activate based on an output of the ESU signal detection circuit. A neutral drive feedback loop circuit is configured to compensate for a phase change characteristic of an ESU filter circuit.

Abstract: A baby bottle sensor with content volume sensing and content deduction logic is attachable to a baby bottle. The sensor measures a volume of fluid in the baby bottle and uses programmed logic to deduce whether formula or some other fluid is being fed. Collected data is stored and reported to a paired Bluetooth device.

Abstract: An acute ischemia detection device comprises a 12-lead electrocardiograph (ECG) device (12), an electronic data processing device (12), and a display component (22). The electronic data processing device applies 12-lead ECG to vessel-specific lead (VSL) transforms (50) to 12-lead ECG data acquired by the 12-lead ECG device to generate VSL lead data (e.g., LAD, LCX, and RCA vessel-specific lead data), determines ST values for the VSL lead data, and decides whether the 12-lead ECG data acquired by the 12-lead ECG device indicates acute ischemia by comparing the ST values for the VSL lead data with VSL lead ST thresholds (60). The display component may display an acute ischemia alarm or warning if the decision is the 12-lead ECG data acquired by the 12-lead ECG device indicates acute ischemia, and/or may display the generated VSL lead ECG traces.

Abstract: A method and system to identify a time lagged indicator of an event to be predicted are described. The method includes receiving information including an indication of a factor, the factor being a different event than the event to be predicted, and identifying a window period within which the event is statistically correlated with the factor. The method also includes collecting data for a duration of the window period, the data indicating occurrences of the factor and the event, and identifying a time lagged dependency of the event on the factor based on analyzing the data.

Abstract: Disclosed are a method for generating personal identification information using an electrocardiogram and a method for identifying a person using the personal identification information. The methods dramatically increase an identification rate by using two-dimensional image data converted from an electrocardiogram signal as personal identification information, and enable real-time identification by reducing a calculation amount by converting only a single electrocardiogram cycle into the two-dimensional image data.

Abstract: A wearable device configured to acquire and process electrocardiographic measurements, detect lead inversion and correct the acquired measurements for lead inversion is provided. In one example, the wearable device can detect lead inversion by first assessing whether the P-wave of a given electrocardiographic measurement has a negative amplitude, and if the P-wave is found to be negative, the device can determine if the magnitude of the R-wave is smaller than the maximum of the magnitudes of the S-wave and the Q-wave. In another example, the device can be put through an enrollment procedure in which electrocardiographic measurements are taken with the device being worn at known locations on the body. Once the enrollment procedure is completed, when the device is being used, any electrocardiographic results obtained can be compared against the measurements taken during the enrollment phase, and the location of the device on the body can be determined.

Abstract: A method of controlling a vehicle is provided. The method may include steps of: acquiring occupant pulse rate information and occupant motion information for an occupant of the vehicle; classifying, using the occupant motion information, a current activity level of the occupant into one of a plurality of predetermined activity levels; determining a range of safe pulse rates for the occupant at the current activity level; determining, using the range of safe pulse rates for the occupant, if a current pulse rate of the occupant indicates a cardiac health risk to the occupant; and, responsive to a determination that the current pulse rate of the occupant indicates a cardiac health risk to the occupant, controlling the vehicle.

Abstract: At least one location of interest for perpetuation or persistence of arrhythmia or atrial fibrillation is identified by determining a repeatability of electrogram morphologies from electrical recordings within at least one atrium.

Abstract: An electronic device includes a camera, an ambient light sensor, and a proximity sensor. The electronic device uses one or more of the camera and the proximity sensor to emit light into a body part of a user touching a surface of the electronic device and one or more of the camera, the ambient light sensor, and the proximity sensor to receive at least part of the emitted light reflected by the body part of the user. The electronic device computes health data of the user based upon sensor data regarding the received light. In some implementations, the electronic device may also include one or more electrical contacts that contact one or more body parts of the user. In such implementations, the health data may be further computed based on the an electrical measurement obtained using the electrical contacts.

Abstract: System and method for monitoring motor recovery in a post-stroke treatment is disclosed. Motor activity data corresponding to limbs movement is collected during an acute stroke period. The motor activity data is transmitted to at least one base station and an activity value for each arm of two arms is calculated in a predefined time window by using the motor activity data. The activity value for each arm is compared thus providing the monitoring of the motor activity.

Abstract: A system comprises a plurality of sensors, a sensor processor, and a sampling rate engine. The sensor processor is coupled to an output of each sensor of the plurality of sensors. The sensor processor estimates user dynamics in response to a first output signal of a first sensor of the plurality of sensors. The sampling rate engine is coupled to an output of the sensor processor. The sampling rate engine determines a sampling rate value of a second sensor of the plurality of sensors in response to a user dynamics value from the sensor processor. The second sensor comprises a selectable sampling rate. The selectable sampling rate is configured in response to the sampling rate value determined by the sampling rate engine.

Abstract: A system for processing ECG to detect atrial fibrillation includes three software modules. A beat module is executable on a processor to receive a time series of ECG data, identify heart beats, and determine a beat AFIB value based on a timing of each identified heart beat. The beat AFIB value represents a presence or absence of AFIB based on variability in the timing of each identified heart beat. A segment module is executable to receive the time series of ECG data, divide the time series of ECG data into two or more time segments, and determine a segment AFIB value for each time segment. The segment AFIB value indicates a presence or absence of AFIB in the time segment based on whether any of a set of rhythms are identified. The AFIB detection module is executable to determine an AFIB identification value for each time segment based on the beat AFIB value during that time segment and the segment AFIB value for that time segment.

Abstract: An aerosol delivery device is provided that includes at least one housing enclosing a reservoir configured to retain an aerosol precursor composition. The device includes a heating element, and a microprocessor configured to operate in an active mode in which the control body is configured to control the heating element to activate and vaporize components of the aerosol precursor composition. And the device includes a heart rate monitor including a plurality of biopotential electrodes affixed to the housing and configured to obtain biopotential measurements from a user, and including signal conditioning circuitry configured to produce an electrocardiogram signal from the biopotential measurements. The microprocessor is coupled to the signal conditioning circuitry and further configured to control operation of at least one functional element of the aerosol delivery device based on the electrocardiogram signal or a heart rate of the user calculated therefrom.

Abstract: Systems and methods for controlling an elongate device include a console. The console includes a first recess and a removable first input control for controlling motion of the medical device. The console also may include one or more first sensors located about the first recess that detect motion of the first input control and detect operator contact with the first input control. The console also may include an integrated display screen arranged to display status information for the medical device. In some embodiments, the first input control controls an insertion depth or steering of the medical device, and may be in the form of a scroll wheel forming a part of a removable control assembly.

Abstract: Techniques for administering a care plan. Embodiments receive the care plan specifying observation metrics to monitor biometric data collected from a patient. At least one monitoring device available is identified and embodiments receive biometric data collected using the at least one monitoring device, where the biometric data is initially classified as a first type of event by the at least one monitoring device. Additionally, embodiments analyze the received biometric data to reclassify the first event as an occurrence of a second type of even, and, upon determining that the occurrence of the second type of event satisfies at least one threshold condition specified in the care plan, initiate at least one treatment plan specified in the care plan and corresponding to the satisfied at least one threshold value.

Abstract: Methods, systems, and apparatuses for visualizing the motion box of an electromagnetic sensor tracking system on a display that can be viewed by the physician are disclosed. Electromagnetic sensor tracking systems are able to determine the position and orientation (P&O) of the sensors being tracked only when the sensors are within the motion box, or the spatial region located in proximity to the electromagnetic field generators of the system. During usage of the electromagnetic sensor tracking system, the sensor can go out of this spatial region and, when this occurs, navigating it back into the motion box can be difficult. The methods, systems, and apparatuses described herein provide for the representation of sensors, the motion box, and a representation of a thorax on a display so that the clinician can view the position and orientation of the sensors with respect to the motion box.

Abstract: In embodiments, a wearable cardiac defibrillator system includes an energy storage module configured to store a charge. Two electrodes can be configured to be applied to respective locations of a patient. One or more reservoirs can store one or more conductive fluids. Respective fluid deploying mechanisms can be configured to cause the fluids to be released from one or more of the reservoirs, which decreases the impedance at the patient location, and decreases discomfort for the patient. In some embodiments an impedance is sensed between the two electrodes, and the stored charge is delivered when the sensed impedance meets a discharge condition. In some embodiments, different fluids are released for different patient treatments. In some embodiments, fluid release is controlled to be in at least two doses, with an intervening pause.

Abstract: An ECG monitoring system for ambulatory patients includes a disposable multi-electrode patch that adhesively attaches to the chest of a patient. A reusable battery-powered ECG monitor clips onto the patch and receives patient electrical signals from the electrodes of the patch. A processor continuously processes received ECG signals and stores the signals in memory in the monitor. The processor also analyzes the received ECG signals for predefined arrhythmia. If an arrhythmia is detected, a bi-directional wireless transceiver in the ECG monitor transmits the event information and an ECG strip to a cellphone handset. The cellphone handset automatically relays the event information and ECG strip to a monitoring center for further diagnosis and necessary intervention.

Abstract: A system and method are provided for determining electrophysiological data. The system comprises an electronic control unit that is configured to receive electrical signals from a set of electrodes, receive position and orientation data for the set of electrodes from a mapping system, compensate for position and orientation artifacts of the set of electrodes, compose cliques of a subset of neighboring electrodes in the set of electrodes, determine catheter orientation independent information of a target tissue, and output the orientation independent information to a display.

Abstract: A method and medical device for detecting a cardiac event that includes sensing cardiac signals from a plurality of electrodes forming a first sensing vector sensing a first interval of the cardiac signal during a predetermined time period and a second sensing vector simultaneously sensing a second interval of the cardiac signal during the predetermined time period, identifying each of the first interval and the second interval as being one of shockable and not shockable in response to first processing of the first interval and the second interval and in response to second processing of one or both of the first interval and the second interval, the second processing being different from the first processing, and determining whether to deliver therapy for the cardiac event in response to identifying each of the first interval and the second interval as being one of shockable and not shockable in response to both the first processing and the second processing of the first interval and the second interval.

Abstract: The present invention provides systems and methods for monitoring a heart. According to one embodiment, the system includes an implantable registering unit for registering an electrical signal from the heart. The system includes a local data unit in operable communication with registering unit. The local data unit may be placed in communication with a computer, which may be at a location remote from the local data unit. The computer is adapted to receive the data from the local data unit corresponding to the registered electrical signal and to compare the registered electrical signal to a reference electrical signal to determine whether the heart is functioning properly.

Abstract: Techniques for determining reliability of electrocardiogram (ECG) data are disclosed. ECG data, including waveform data relating to a detected heartbeat for a patient, is received. A peak amplitude associated with an R-wave in the waveform data is determined. First and second baseline regions in the waveform data are identified. The first baseline region precedes the R-wave and the second baseline region follows the R-wave. A signal-to-noise ratio (SNR) is determined, based on the peak amplitude, the first baseline region, and the second baseline region. A confidence metric relating to the waveform data is determined, based on the determined SNR. The confidence metric is used in medical treatment related to the patient.

Abstract: A method comprising: establishing a wireless connection between a first medical device and a second medical device, comprising: receiving, by the first medical device, via a short-range wireless technology protocol, connection information related to the second medical device; and establishing, by the first medical device, a wireless connection with the second medical device based on the connection information.

Abstract: Apparatuses and methods for extracting, de-noising, and analyzing electrocardiogram signals. Any of the apparatuses described herein may be implemented as a (or as part of a) computerized system. For example, described herein are apparatuses and methods of using them or performing the methods, for extracting and/or de-noising ECG signals from a starting signal. Also described herein are apparatuses and methods for analyzing an ECG signal, for example, to generate one or more indicators or markers of cardiac fitness, including in particular indicators of atrial fibrillation. Described herein are apparatuses and method for determining if a patient is experiencing a cardiac event, such as an arrhythmia.

Abstract: Physiological monitoring can be provided through a wearable monitor that includes two components, a flexible extended wear electrode patch and a removable reusable monitor recorder. The wearable monitor sits centrally (in the midline) on the patient's chest along the sternum oriented top-to-bottom. The placement of the wearable monitor in a location at the sternal midline (or immediately to either side of the sternum) benefits extended wear by removing the requirement that ECG electrodes be continually placed in the same spots on the skin throughout the monitoring period. Instead, the patient can place an electrode patch anywhere within the general region of the sternum. Power is provided through a battery provided on the electrode patch, which avoids having to open the monitor recorder's housing for battery replacement.

Abstract: A social intimacy determining method includes detecting electrocardiogram (ECG) data from at least two subjects; detecting heart rhythm pattern (HRP) data from ECG signals of the two subjects; and determining a relationship (intimacy) between the two subjects by comparing the HRP data of the two subjects.

Abstract: A portable device comprising at least one processor, a memory, and a touch screen configured to be in a locked state or an unlocked state is provided. The memory may store contacts of a user associated with the portable device and instructions: (1) to automatically place an emergency call, even when the touch screen is in the locked state, based on a specific input sequence to the portable device comprising a first input followed by a second input, where the first input may correspond to a user input device associated with the portable device and the second input may correspond to a swipe by the user across the touch screen associated with the portable device; and (2) to, without any further user interaction, automatically transmit a message to at least one contact of the user including a current location of the portable device.

Abstract: Methods, systems, and devices for determining pulseless electrical activity (PEA) are described. The method may include determining by using a first sensor on a person, a heart rate of the person based on sensed electrical activity of the person. A pulse rate of the person may be determined using a second sensor, the pulse rate of the person being based on at least one sensed parameter other than the sensed electrical activity. The method may then include determining a correlation of the determined heart rate and the determined pulse rate and then generating an alert event based at least in part on the correlation being outside of a predetermined threshold.

Abstract: Devices and methods are provide for facilitating registration and calibration of surface imaging systems. Tracking marker support structures are described that include one or more fiducial reference markers, where the tracking marker support structures are configured to be removably and securely attached to a skeletal region of a patient. Methods are provided in which a tracking marker support structure is attached to a skeletal region in a pre-selected orientation, thereby establishing an intraoperative reference direction associated with the intraoperative position of the patient, which is employed for guiding the initial registration between intraoperatively acquired surface data and volumetric image data. In other example embodiments, the tracking marker support structure may be employed for assessing the validity of a calibration transformation between a tracking system and a surface imaging system.

Abstract: A system for determining the resistance of peripheral vasculature including a sensor configured to generate output signals proportional to the amount of blood in the peripheral vasculature over time, and a computer subsystem configured to determine the resistance of the peripheral vasculature in response to the output signals.

Abstract: A method of processing a bio-signal includes: generating a motion pattern from a motion of an object body; estimating a next point in time of a motion occurrence from the motion pattern; and generating a bio-signal pattern by combining an attenuation factor with a bio-signal of the object body at the estimated next point in time of the motion occurrence.

Abstract: Devices and methods are described that provide improved diagnosis from the processing of physiological data. The methods include use of transforms prior to submitting the data to a multiple level neural network. In one embodiment for ECG analysis, a template is used to subtract data that is not pertinent to the diagnosis and then a Fourier transform is applied to the time series data. Examples are shown with applications to electrocardiogram data, but the methods taught are applicable to many types of physiological data.

Abstract: An efficient system for diagnosing arrhythmias and directing catheter therapies may allow for measuring, classifying, analyzing, and mapping spatial electrophysiological (EP) patterns within a body. The efficient system may further guide arrhythmia therapy and update maps as treatment is delivered. The efficient system may use a medical device having a high density of sensors with a known spatial configuration for collecting EP data and positioning data. Further, the efficient system may also use an electronic control system (ECU) for computing and providing the user with a variety of metrics, derivative metrics, high definition (HD) maps, HD composite maps, and general visual aids for association with a geometrical anatomical model shown on a display device.

Abstract: Monitoring heart activity using a wearable device, including receiving, from the wearable device, an electrocardiograph (ECG) signal and a motion signal associated with an individual upon contact with the wearable device; in response to receiving the ECG signal and the motion signal associated with the individual, determining, by a computing device, a position of the wearable device in contact with the individual; and determining, by the computing device, a heart activity monitoring mode for operating the wearable device, based on the position of the wearable device in contact with the individual.

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 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: An ECG system and a method for operating a handheld device that provides input to an ECG system are disclosed. The handheld device has a plurality of receiving channels. Each receiving channel includes an electrode that is adapted for receiving electrical signals from a patient's body when the electrode is pressed against the patient's body at a predetermined location on the patient's body. The method includes monitoring an output signal from each of the channels for any of a plurality of invalid signal conditions during a period of time in which the output signal is used to generate a standard lead or precordial lead trace, signaling a user that the handheld device is improperly positioned on the patient's body, and instructing the user on how to correct a placement of the handheld device based on the detected invalid signal condition.

Abstract: A system and method for facilitating a cardiac rhythm disorder diagnosis based on subcutaneous cardiac monitoring data with the aid of a digital computer are provided. Cutaneous action potentials of a patient are recorded as electrocardiogram (EGC) data over a set time period using a subcutaneous insertable cardiac monitor. A set of R-wave peaks is identified within the ECG data and an R-R interval plot is constructed. A difference between recording times of successive pairs of the R-wave peaks in the set is determined. A heart rate associated with each difference is also determined. The pairs of the R-wave peaks and associated heart rate are plotted as the R-R interval plot. A diagnosis of cardiac disorder is facilitated based on patterns of the plotted pairs of the R-wave peaks and the associated heart rates in the R-R interval plot.