Abstract: A system is provided for displaying heart graphic information relating to sources and source locations of a heart disorder to assist in evaluation of the heart disorder. A heart graphic display system provides an intra-cardiogram similarity (“ICS”) graphic and a source location (“SL”) graphic. The ICS graphic includes a grid with the x-axis and y-axis representing patient cycles of a patient cardiogram with the intersections of the patient cycle identifiers indicating similarity between the patient cycles. The SL graphic provides a representation of a heart with source locations indicated. The source locations are identified based on similarity of a patient cycle to library cycles of a library cardiogram of a library of cardiograms.

Abstract: A system for managing an individualized cardiac rehabilitation plan is provided. The system includes an externally worn device and a server. The server includes a processor configured to receive input regarding the rehabilitation plan; generate one or more plans specifying an individualized set of rehabilitative exercise sessions for a patient, receive electrocardiogram (ECG) and non-ECG physiological information acquired from the patient compare the ECG and/or non-ECG physiological information to predetermined criteria and dynamically adjust the cardiac rehabilitation plan based on the comparison to create an adjusted cardiac rehabilitation plan.

Abstract: This disclosure is directed to techniques for identifying false detection of asystole in a cardiac electrogram that include determining whether at least one of a plurality of false asystole detection criteria are satisfied. In some examples, the plurality of false asystole detection criteria includes a first false asystole detection criterion including a reduced amplitude threshold for detecting cardiac depolarizations in the cardiac electrogram, and a second false asystole detection criterion for detecting decaying noise in the cardiac electrogram.

Abstract: A medical apparatus includes a probe configured for insertion into a body of a patient. The probe includes electrodes configured to contact tissue within the body. The apparatus further includes a display screen, a position-tracking system configured to acquire position coordinates of the electrodes, and a processor. The processor is configured to acquire electrophysiological signals from a group of the electrodes in a sequence of time intervals, extract electrophysiological parameters from the signals, and for each time interval, compute a measure of consistency of the parameters extracted from the signals. The processor is further configured to render to the display screen a three-dimensional map of the tissue while superimposing on the map a visual indication of the extracted parameters for which the measure of consistency satisfied a consistency criterion, and automatically discarding from the map the parameters for which the measure of consistency did not satisfy the criterion.

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

Abstract: An externally worn cardiac monitoring and/or treatment system with battery detachment detection is provided. The system includes detachment circuitry and audible and/or vibrational alarm circuitry operably coupled to the detachment circuitry. The detachment circuitry is configured to detect whether the rechargeable battery is detached from the battery-powered externally worn cardiac device by monitoring a connection established between the rechargeable battery and the at least one processor and output a battery status signal indicating whether the rechargeable battery is detached from the battery-powered externally worn cardiac device. The audible and/or vibrational alarm circuitry is configured to receive the battery status signal and output an audible alert in a predetermined frequency range and/or a tactile alert if the rechargeable battery is detached.

Abstract: A computer implemented method for analyzing electroencephalogram signals can include a plurality of sensors configured to contact a skull and capture the electroencephalogram signals, one or more computer memory units for storing computer instructions and data, and one or more processors configured to perform the operations of clustering the electroencephalogram signals using at least stored objective data and added subjective data including patient profile data to provide clustered data results and predicting one or more among a medical diagnosis, assessment, plan, necessary forms, or recommendations for follow up based on the clustered data results.

Abstract: A method comprises identifying P-waves within a cardiac signal stored by a medical device for a cardiac episode detected by the medical device, and calculating a gain factor for display of the cardiac signal based on the identified P-waves.

Abstract: This document presents a system for managing treatment for an emergency cardiac event. The system includes memory, one or more electronic ports for receiving ECG signals, and a treatment module executable on one or more processing devices. The module is configured to generate transform values for a time segment of ECG, obtain one or more previous values derived from one or more earlier time segments of the ECG, and determine, based on the generated transform values, and the one or more previous values, at least one of: a) a future therapeutic action for treating the emergency cardiac event, or b) a phase of the cardiac event. The module is further configured to cause one or more output devices to present an indication of at least one of the therapeutic action or the phase of the cardiac event.

Abstract: Methods and systems are provided for detecting arrhythmias in cardiac activity. The methods and systems declare a current beat, from the CA signals, to be a candidate beat or an ineligible beat based on whether the current beat satisfies the rate based selection criteria. The determining and declaring operations are repeated for multiple beats to form an ensemble of candidate beats. The method and system calculate a P-wave segment ensemble from the ensemble of candidate beats, perform a morphology-based comparison between the P-wave segment ensemble and at least one of a monophasic or biphasic template, declare a valid P-wave to be present within the CA signals based on the morphology-based comparison, and utilize the valid P-wave in an arrhythmia detection process to determine at least one of an arrhythmia entry, arrhythmia presence or arrhythmia exit.

Abstract: A method includes receiving data identifying a responder in response to a call to an emergency operator, identifying one or more persons associated with the responder, determining communication addresses of communication devices associated with respective persons of the one or more persons, and sending a communication to each of the communication devices using the communication addresses to issue a pre-alert to the one or more persons that allows the one or more persons to prepare for a call to action. A system using natural language processing may be used to analyze a call in progress and aid in dispatching. The system may also identify the responder and assist in initiating the pre-alert prior to an alarm being sounded.

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

Abstract: Certain aspects of the present disclosure provide methods and apparatus for determining a precise localization of an arrhythmia origin or exit site in a heart of a subject using internal electrocardiograph (ECG) signals sensed and stored by an implantable device implanted in the subject. One example method of analyzing an arrhythmia in a subject generally includes reading, from an implantable device implanted in the subject, a plurality of internal ECG signals sensed and stored by the implantable device while the subject was experiencing an arrhythmia event (e.g., at any time, including while the subject was ambulatory); performing an analysis of the read internal ECG signals; and determining a localization of the arrhythmia associated with the arrhythmia event, based on the analysis.

Abstract: A device including an array of electrodes generates one or more electrical signals from a user, extracts one or more noise signals, and generates one or more de-noised electrical signals upon processing the electrical signal(s) with the noise signal(s). The array of electrodes is coupled to a surface of the device, where the device also includes force sensors in mechanical communication with the surface for detecting user weight and other forces. The device can be configured to generate electrical signals from different subportions of the array of electrodes and to extract noise signals from different subportions of the array of electrodes, where the subportion(s) for electrical signal generation may or may not overlap with the subportion(s) of electrodes for noise signal extraction.

Abstract: Techniques are disclosed for using both feature delineation and machine learning to detect cardiac arrhythmia. A computing device receives cardiac electrogram data of a patient sensed by a medical device. The computing device obtains, via feature-based delineation of the cardiac electrogram data, a first classification of arrhythmia in the patient. The computing device applies a machine learning model to the received cardiac electrogram data to obtain a second classification of arrhythmia in the patient. As one example, the computing device uses the first and second classifications to determine whether an episode of arrhythmia has occurred in the patient. As another example, the computing device uses the second classification to verify the first classification of arrhythmia in the patient. The computing device outputs a report indicating that the episode of arrhythmia has occurred and one or more cardiac features that coincide with the episode of arrhythmia.

Abstract: Techniques are disclosed for a multi-tier system for predicting cardiac arrhythmia in a patient. In one example, a computing device processes parametric patient data and provider data for a patient to generate a long-term probability that a cardiac arrhythmia will occur in the patient within a first time period. In response to determining that the cardiac arrhythmia is likely to occur within the first time period, the computing device causes a medical device to process the parametric patient data to generate a short-term probability that the cardiac arrhythmia will occur in the patient within a second time period. In response to determining that the cardiac arrhythmia is likely to occur within the second time period, the medical device performs a remediative action to reduce the likelihood that the cardiac arrhythmia will occur.

Abstract: The disclosure relates to a device and method of obtaining an electrocardiogram for a subject. The method comprises receiving electrical signals from at least two head-mounted sensors; and analysing said electrical signals to resolve shape and timing information for each of the P-, Q-, R-, S-, and T-waves available for the subject over a number of cardiac cycles, to derive a composite electrocardiogram, ECG, in which the composite electrocardiogram is derived using signals only from said head-mounted sensors.

Abstract: Disclosed are systems and methods for sending emergency alerts. In some embodiments, sensors and wearable devices may trigger and send the emergency alerts and/or warning signals via available communication devices. Multi-media emergency alerts are also disclosed that include situational awareness information for effective and efficient emergency response.

Abstract: Systems and methods for assessing a cardiac arrhythmia risk of a patient, such as a risk for developing atrial fibrillation, are disclosed. An exemplary medical-device system includes an arrhythmia predictor circuit configured to receive physiologic information of a patient, and in an absence of atrial tachyarrhythmia in the patient, determine a risk of the patient developing future atrial tachyarrhythmia using the physiologic information. In accordance with the arrhythmia risk indication, the system can generate an alert, or initiate more aggressive monitoring of a patient identified as having a high atrial tachyarrhythmia risk.

Abstract: Systems and methods for facilitating display of cardiac information based on sensed electrical signals include a processing unit configured to receive a set of electrical signals; receive an indication of a measurement location corresponding to each electrical signal of the set of electrical signals; and generate an activation histogram corresponding to the set of electrical signals. Systems and methods disclosed herein may be configured to automatically identify activation histograms exhibiting split characteristics, and to facilitate presentation, on a display device, of a cardiac map including highlighted regions corresponding to the identified activation histograms.

Abstract: A storage system that performs irreversible compression on time-series data using a compressor/decompressor based on machine learning calculates a statistical amount value of each of one or more kinds of statistical amounts based on one or more parameters in relation to original data (time-series data input to a compressor/decompressor) and calculates a statistical amount value of each of the one or more kinds of statistical amounts based on the one or more kinds of parameters in relation to decompressed data (time-series data output from the compressor/decompressor) corresponding to the original data. The machine learning of the compressor/decompressor is performed based on the statistical amount value calculated for each of the one or more kinds of statistical amounts in relation to the original data and the statistical amount value calculated for each of the one or more kinds of statistical amounts in relation to the decompressed data.

Abstract: A method of analysing changes in the electrical activity of a patient's heart between a reference state and a test state, the method using a reference data set of electrophysiological data captured from the patient in the reference state and at least one test data set of electrophysiological data captured from the patient in the test state, each data set defining a plurality of electrograms for a respective plurality of spatial locations relative to the heart, the method comprising processing the electrophysiological data by, matching each electrogram in the reference data set to a corresponding electrogram in the at least one test data set to create a pair of electrograms for each of the plurality of spatial locations, and deriving a time delay for each spatial location by calculating the time delay between the electrograms of the pair of matched electrograms for that spatial location.

Abstract: An event waveform extracting unit (3) extracts an event waveform from time-series data. A co-occurrence rate calculating unit (4) calculates co-occurrence rates of event waveforms among the time-series data. A grouping unit (5) classifies the time-series data into groups depending the co-occurrence rates of the event waveforms. An event information generating unit (6) determines the time at which the periods during which event waveforms occur overlap with each other among the time-series data included in each group, and generates event information identifying an event related to the event waveforms on the basis of the determined time.

Abstract: A medical apparatus includes a probe configured for insertion into a body of a patient. The probe includes electrodes configured to contact tissue within the body. The apparatus further includes a display screen, a position-tracking system configured to acquire position coordinates of the electrodes, and a processor. The processor is configured to acquire electrophysiological signals from a group of the electrodes in a sequence of time intervals, extract electrophysiological parameters from the signals, and for each time interval, compute a measure of consistency of the parameters extracted from the signals. The processor is further configured to render to the display screen a three-dimensional map of the tissue while superimposing on the map a visual indication of the extracted parameters for which the measure of consistency satisfied a consistency criterion, and automatically discarding from the map the parameters for which the measure of consistency did not satisfy the criterion.

Abstract: A computer implemented method and system for detecting premature ventricular contractions (PVCs) are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains a cycle length (CL) distribution metric that plots a series of cardiac beats into one of a set of transition types based on R-R interval (RRI) difference pairs associated with the cardiac beats. The CL distribution metric plots the cardiac beats based on a comparison between combinations of the RRI difference pairs for corresponding combinations of the cardiac beats. The method calculates a distribution characteristic for the cardiac beats, from the series of cardiac beats that exhibit a first transition type from the set of transition types and calculates a discrimination score based on the distribution characteristic of the cardiac beats across the CL distribution metric.

Abstract: An instantaneous heartbeat reliability evaluation apparatus includes: extraction means which extracts waveforms having a maximum value corresponding to depolarization of a heart in a biosignal of an examinee; first calculation means which calculates an interval between two waveforms neighboring in a time series; dividing means which divides a signal output from measurement means into signals of predetermined periods; second calculation means which calculates feature quantities of a potential of each divided signal; first evaluation means which evaluates whether a measurement state of each divided signal is normal or abnormal on the basis of feature quantities; and second evaluation means which evaluates measurement states of two neighboring extracted waveforms on the basis of an evaluation result obtained by the first evaluation means and evaluates reliability of a measurement state of the interval between the waveforms depending on a type of the evaluated measurement states of the waveforms.

Abstract: A system and method for automatically requesting assistance for a user experiencing a medical emergency is disclosed. The system includes a user device with a sensor to detect sensed information. Based on the sensed information the user device can determine if the user is experiencing a medical emergency. The user device can communicate with nearby devices over one or more networks and send information about the medical emergency to the nearby devices. The information can include the type of medical emergency, the location of the user experiencing the medical emergency, and any instructions for providing the user with assistance.

Abstract: A system includes a pulse generator including a can electrode and a lead couplable to the pulse generator, the lead including a distal coil electrode and a proximal coil electrode, wherein both of the coil electrodes are electrically uncoupled from the can electrode such that a unipolar sensing vector is provided between at least one of the coil electrodes and the can electrode.

Abstract: The present invention relates to a method of analysing cardiac data relating to a patient, comprising: providing cardiac data relating to the patient—optionally by using a means for providing physiological data (20); determining one or more properties of the data, wherein the or each property is determined over a particular context length, the context length being selected based on the or each property—optionally using an analysis module (24); comparing the or each property against a respective predetermined threshold value, thereby to indicate a probability of the patient experiencing a cardiac event—optionally using a means for providing an output (26); and providing an output based on the comparison. A system and apparatus corresponding to this method is also disclosed.

Abstract: An example system and method associated with identifying and treating a source of a heart rhythm disorder are disclosed. In accordance therewith, a spatial element associated with a region of the heart is selected. Progressive rotational activations or progressive focal activations are determined in relation to the selected spatial element over a period of time. The selecting and determining are repeated over multiple periods of time. A source parameter of rotation activations or focal activations is determined, wherein the source parameter indicates consistency of successive rotational activations or focal activations in relation to a portion of the region of the heart. The determining of a source parameter is repeated for multiple regions of the heart. Thereafter, representation of the source parameter is displayed for each of the multiple regions of the heart to identify a shape representing the source of the heart rhythm disorder.

Abstract: Systems and methods for processing cardiac information include a processing unit configured to receive a set of cardiac electrical signals; receive an indication of a measurement location corresponding to each of the set of electrical signals; and identify, for each electrical signal of the set of electrical signals, a deflection. The deflection includes a deviation from a signal baseline. An activation waveform corresponding to the set of electrical signals is generated based on the identified deflections.

Abstract: A method for analyzing a measured signal is described wherein at least a first segment and a second segment of said measured signal are acquired by a measurement device. At least said first segment and said second segment are stored in an acquisition memory of said measurement device. A search criterion is applied on at least said first segment and said second segment. At least a first timing event corresponding to said search criterion is stored into a memory, said first timing event being found in at least one of said segments. Further, an oscilloscope is described.

Abstract: A Wearable Cardiac Defibrillator (WCD) system is configured to be worn by a patient who carries a mobile communication device. The mobile communication device has a user interface that is configured to enable the patient to enter wireless inputs. The WCD system includes a communication module that is configured to establish a local comlink with the mobile communication device. The WCD system also includes a tethered action unit that has a user interface configured to enable the patient to enter action inputs. The WCD system can perform some of its functions in response to the action inputs or to the wireless inputs. Since the wireless inputs can be provided from the mobile communication device instead of the action unit, the patient is less likely to attract attention when entering them, and thus exhibit better compliance.

Abstract: An electrocardiogram waveform signal method includes obtaining a filtered waveform signal, marking the waveform signal as K signal line segments based on monotonicity, extracting line segment data of each signal line segment, and determining a line segment matching template of the waveform signal based on the line segment data of each signal line segment. The extracting of the line segment includes extracting a line segment length Xi and a line segment width Yi of each signal line segment i of the K signal line segments, performing difference extension on the line segment length Xi and the line segment width Yi based on a preset length and a preset width, respectively, to obtain a normalized signal line segment j, and extracting fourth line segment data of the normalized signal line segment j.

Abstract: A vital-signs patch for a patient monitoring system that includes a housing containing a sensor that makes physiological measurements of a patient, a transmitter, a receiver, a memory, and a processor. The processor periodically takes a measurement from the sensor, converts the measurement to a data record, and stores the data record in the memory. Upon receipt of a signal from another device, the processor retrieves at least a portion of the data record, converts the retrieved portion of the data record to a vital-sign signal, and causes the transmitter to transmit the vital-sign signal to the other device.

Abstract: Disclosed are various examples and embodiments of systems, devices, components and methods configured to detect a location of a source of at least one cardiac rhythm disorder in a patient's heart, such as atrial fibrillation, and to classify same. Velocity vector maps reveal the location of the source of the at least one cardiac rhythm disorder in the patient's heart, which may be, by way of example, an active rotor in the patient's myocardium and atrium. The resulting velocity vector map may be further processed and/or analyzed to classify the nature of the patient's cardiac rhythm disorder, e.g., as Type A, B or C atrial fibrillation. The resulting cardiac rhythm classification then can be used to determine the optimal, most efficacious and/or most economic treatment or surgical procedure that should be provided to the individual patient. A simple and computationally efficient intra-cardiac catheter-based navigation system is also described.

Abstract: A central signal segregation station (100) employs a signal acquisition controller (103) and a signal segregation controller (104). In operation, the signal acquisition controller (103) receives a plurality of different types of physiological signals from a plurality of unknown physiological sensors (10; 20; 30; 40; 50; 60; 70; 80). For a monitoring of the physiological signals, the signal segregation controller (104) identifies a particular type of each physiological signal based on distinct signal features of each physiological signal corresponding to a different physiological signal model (101) among a plurality of physiological signal models (101) derived from known types of physiological sensors.

Abstract: Imaging systems and methods are provided, which involve acquiring static volume data using a first imaging technique; segmenting the static volume data to generate a static segmentation; annotating the static segmentation with at least one annotation; acquiring initial dynamic volume data using a second imaging technique different to the first imaging technique; segmenting the initial dynamic volume data to generate a plurality of dynamic segmentations; comparing the static segmentation to each one of the plurality of dynamic segmentations and determining, using the comparisons, a single dynamic segmentation that most closely corresponds to the static segmentation; storing the corresponding single dynamic segmentation in the memory as a reference segmentation; acquiring subsequent dynamic volume data; segmenting the subsequent dynamic volume data to generate at least one subsequent dynamic segmentation; determining a difference between the reference segmentation and the subsequent dynamic segmentation; updati

Abstract: An information processing apparatus is provided which includes a sensor information acquisition unit that acquires sensor information including at least biological information of a user and a biological information change prediction unit that predicts a change of the biological information from the sensor information in accordance with a framework based on knowledge concerning poor physical condition of the user.

Abstract: Catheterization of the heart is carried out by inserting a probe having electrodes into a heart of a living subject, recording a bipolar electrogram and a unipolar electrogram from one of the electrodes at a location in the heart, and defining a window of interest wherein a rate of change in a potential of the bipolar electrogram exceeds a predetermined value. An annotation is established in the unipolar electrogram, wherein the annotation denotes a maximum rate of change in a potential of the unipolar electrogram within the window of interest. A quality value is assigned to the annotation, and a 3-dimensional map is generated of a portion of the heart that includes the annotation and the quality value thereof.

Abstract: A computer implemented method for detecting pocket stability for an implantable cardiac monitor, including under control of one or more processors in the ICM, collecting impedance data over at least one cardiac cycle. The impedance data is processed to separate an impedance waveform that varies over the at least one cardiac cycle in a manner representative of cardiac functionality over the at least one cardiac cycle. A characteristic of interest is analyzed from the impedance waveform over the at least one cardiac cycle. A pocket stability state of the ICM is identified and recorded based on the analyzing operation.

Abstract: An analysis device according to the present invention includes a memory, and processing circuitry coupled to the memory and configured to analyze data indicating a biosignal by using a predetermined analysis technique and an updated parameter corresponding to the predetermined analysis technique every time the parameter is updated, control a display to display an analysis result obtained together with an interface capable of changing display modes in response to user's operation, and update the parameter based on change in the display modes for the interface.

Abstract: A system includes a memory and a processor. The memory is configured to store a definition of a cardiac pacing protocol. The processor is configured to (a) receive the stored definition of the cardiac pacing protocol, (b) in accordance with the pacing protocol, to automatically pace from an intracardiac location and to acquire respective sensed ECG signals, (c) based on one or more prespecified criteria for validity of the sensed ECG data, automatically accept or reject the sensed ECG signals, (d) based on one or more prespecified criteria for identification of an arrhythmia, identify the intracardiac location as an arrhythmogenic focus or pathway, (e) overlay the identified intracardiac location an electrophysiological (EP) map, and (f) subsequently identify or reject a new intracardiac location as an arrhythmogenic focus or pathway and overlay the new location on the EP map when pacing again from the new intracardiac location.

Abstract: Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients or to a set of rules developed from the database. A bundle branches (BB) to J-Point (BB-J) interval is identified from the plurality of subwaveforms and discontinuity points based on the comparison. The ECG waveform with the BB-J interval annotated is displayed.

Abstract: A catheter system to record and map electrical signals by cardiac tissues before, during, and/or after the treatment of cardiac arrhythmias in a group of patients. The system can include an elongated body; a distal electrode assembly comprising a proximal stem, a plurality of spines emanating from the stem; and a plurality of nonconductive spine covers, each surrounding a respective spine. Each spine can cover one or more tensile members of the respective spine cover. The system can be configured to achieve clinically improved performance and safety of catheter configurations as to accessibility into target areas of a beating heart.

Abstract: A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.

Abstract: A method and system for assessing the risk of a cardiac event in a patient which utilizes real-time and historical data from Electronic Medical Record (EMR) systems is described. A risk of a cardiac event is estimated, in real-time or near-real-time, for a patient who is currently in a hospital emergency department. Batch data for one or more past patients is extracted from EMRs into a machine learning model. Using the machine learning model, a risk level for one or more past patients is calculated. A real-time database is constructed from streams of real-time Health Level 7 (HL7) clinical data, wherein at least one stream of real-time HL7 clinical data is associated with the current patient, and a risk prediction is estimated by joining the calculated risk level for the patient in the machine learning model with the real-time HL7 clinical data from the patient.

Abstract: A glucose monitoring system can make use of electrocardiograph (ECG) data and bioimpedance data acquired from a wearable device. The ECG data and bioimpedance data can each be processed to obtain a glucose level. These values can be processed together to obtain an adapted glucose value. In some cases, photoplethysmography data can also be used to assist in processing of the ECG data. The various types of data can be acquired from sensors on a wearable device. The wearable device can be removably coupled to a user's skin, such as via an adhesive substrate. In some cases, the wearable device can include a reusable electronics module that couples to replaceable electrodes on a replaceable adhesive substrate.

Abstract: A method, apparatus, and computer program product are provided for providing a dynamic wake-up alert. A user's sleep recovery need is determined based on a variety of factors, including but not limited to, mental stress level, physical activity, the individual's sleep history record, and/or data relating to circadian rhythms, recommended sleep times, patterns and cycles. Real-time sleep data, such as that detected by a sleep data detection device, is monitored to determine a real-time gained recovery. Biological, physiological, and/or neurological data relating to the quality of sleep, and/or the amount of sleep obtained is used to calculate the real-time gained sleep recovery of the user and compare the gained recovery to the sleep recovery need. Once the sleep recovery need is satisfied, a dynamic wake-up alert is provided via a user interface.

Abstract: An apparatus and computerized method of classifying a wide complex heart beat(s) comprising: providing a computing device having an input/output interface, one or more processors and a memory; receiving one or more wide complex heart beat waveform amplitudes and/or time-voltage areas, and one or more baseline heart beat waveform amplitudes and/or time-voltage areas via the input/output interface or the memory; determining a signal change between the wide complex heart beat waveform amplitudes and/or time-voltage areas and the baseline heart beat waveform amplitudes and/or time-voltage areas using the one or more processors; and providing the signal change via the input/output interface, wherein the signal change provides an indication whether the wide complex heart beat(s) is from a ventricular source or a supraventricular aberrant condition.