Abstract: Various embodiments are described herein for a system and a method for assessing a risk of ventricular arrhythmias for a patient. For example, the method may comprise receiving ECG data obtained from the patient; analyzing the ECG data to detect abnormal QRS peaks; determining the risk of ventricular arrhythmias for the patient based on the detected abnormal QRS peaks; and providing an indication of the risk of ventricular arrhythmias for the patient. The system may be configured to perform this method.

Abstract: An electrocardiogram measurement system includes a patch-type electrocardiogram measurement apparatus; a first device connected to the electrocardiogram measurement apparatus by means of a first communication and configured to store electrocardiogram data measured by the electrocardiogram measurement apparatus; and a second device connected to the electrocardiogram measurement apparatus by means of the first communication and configured to store electrocardiogram data measured by the electrocardiogram measurement apparatus. The electrocardiogram data measured by the electrocardiogram measurement apparatus includes measured time information.

Abstract: Systems, interfaces, and methods are described herein related to the evaluation of a patient's cardiac conduction system and evaluation of cardiac conduction system pacing therapy being delivered to the patient's cardiac conduction system. Evaluation of the patient's cardiac conduction system may utilize a plurality of breakthrough maps to determine where a cardiac conduction system block may be located. Evaluation of cardiac conduction system pacing therapy may utilize various electrical heterogeneity information monitored before and during delivery of cardiac conduction system pacing therapy.

Abstract: A waveform annotator system allows clinicians to annotate a physiological data waveform, providing initial annotations based on a model corresponding to a type of the physiological data. The initial annotations may be modified by the clinician as desired. The annotations are saved in an annotation database for later use by the clinician and for training the model using machine learning to improve the initial annotations based on the modifications made by the clinician. The trained model may be distributed to other waveform annotator systems.

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

Abstract: An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire data descriptive of a patient, a memory, a user interface, and at least one processor coupled with the memory, the at least one sensor, and the user interface. The at least one processor is configured to determine whether the ambulatory medical device is within a predefined range of a reference location and to initiate location-specific processing in response to determining that the ambulatory medical device is within the predefined range. The location-specific processing includes at least one of issuing a notification and adapting the user interface.

Abstract: A physiological data detection method is provided. The physiological data detection method includes the following steps. Firstly, an ECG signal and a PPG signal are detected. Then, a plurality of RRI values is calculated according to the ECG signal, and a plurality of PPI values is calculated according to the PPG signal. Thereafter, wrong RRI values are excluded according to the RRI values and/or the PPI values. Then, whether an abnormal state occurs or not is determined by using the remaining RRI values. A wearable device therefor is also provided.

Abstract: A computer implemented method and system are provided for detecting premature ventricular contractions (PVCs) in cardiac activity. The method and system obtain cardiac activity (CA) signals for a series of beats, and, for at least a portion of the series of beats, calculate QRS scores for corresponding QRS complex segments from the CA signals. The method and system calculate a variability metric for QRS scores across the series of beats, calculate a QRS complex template using QRS segments from the series of beats, calculate correlation coefficients between the QRS complex template and the QRS complex segments, compare the variability metric to a variability threshold and the correlation coefficients to a correlation threshold, and designate the CA signals to include a predetermined level of PVC burden based on the determining.

Abstract: A pulse discrimination device is configured to receive electrical signals from a plurality of positions of a living body to which a pacing device for outputting a pacing pulse to cause a heart to beat is attached, and is configured to discriminate the pacing pulse included in the electrical signals. The pulse discrimination device includes: a differential processor configured to calculate a difference of the electrical signals received from the plurality of positions, a sum processor configured to calculate a sum of the electrical signals received from the plurality of positions, and a pulse discrimination unit configured to discriminate the pacing pulse included in the electrical signals based on the difference obtained by the differential processor and the sum obtained by the sum processor.

Abstract: The exemplary systems, methods, and interfaces may obtain and analyze electrode signals from a plurality of external electrodes. The electrode signals may include at least an anterior set of electrode signals and a posterior set of electrode signals. The anterior and posterior sets of electrode signals may be used to generate, or provide, various metrics of cardiac electrical heterogeneity and various graphical depictions that may be useful in assessing a patient's cardiac functionality.

Abstract: An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine a representative signal based on the cardiac signal, the representative signal having a single polarity, and determine an end of a T-wave of the cardiac signal based on an area under the representative signal.

Abstract: A heartbeat detection device including a time difference value calculation unit to calculate a time difference value from a sampling data string of an electrocardiographic waveform of a living body, an index value calculation unit to calculate an index value for heartbeat detection based on the time difference value, a threshold setting unit to determine whether a peak of the index value exceeding a threshold can be detected, to calculate, a threshold candidate based on an average value of the predetermined number of the most recent peaks among these peaks. A threshold candidate is set as a new threshold when the threshold candidate has a value equal to or less than a threshold limit value. A heartbeat time determination unit sets the sampling time of the peak as the heartbeat time when the peak of the index value exceeding the threshold is detected.

Abstract: In one example in accordance with the present disclosure, a fluid interface device (106) is described. The device includes a collar (110) to receive a fluid container (104). The collar has an aperture in one end surface. A needle (108) of the fluid interface device passes through the aperture and allows fluid to pass from the fluid container (104) into a reservoir (102). The needle is slideable within the aperture from a dosed position to an open position upon reception of the fluid container. A seal (212) is radially disposed around the needle (108) and seals against the end surface of the collar (110) when the needle is in the dosed position.

Abstract: An example method includes analyzing morphology and/or amplitude of each of a plurality of electrophysiological signals across a surface of a patient's body to identify candidate segments of each signal satisfying predetermined conduction pattern criteria. The method also includes determining a conduction timing parameter for each candidate segment in each of the electrophysiological signals.

Abstract: A method for automatically discriminating between a supraventricular tachycardia event and a ventricular tachycardia event is provided.

Abstract: A system and method of measuring bioelectric signals generated by an individual, inclusive of humans or other living organisms, comprises a plurality of sensors, at least one of the plurality of sensors being constituted by a capacitive-type sensor. Sensor has an associated insulated layer of material preventing the conduction of direct current between an electrode and individual, wherein a bioelectric signal of individual can be measured underwater.

Abstract: A method and an apparatus to remove a noise from an electrocardiography (ECG) sensor signal are provided. A noise removing method includes: receiving a sensor signal collected by an electrocardiography (ECG) sensor; extracting an ECG estimation signal from the sensor signal based on a peak value of the sensor signal; determining a first comparison value between the ECG estimation signal and a first reference signal indicating an average form of ECG signals; and classifying the ECG estimation signal as one of an ECG signal and a noise by comparing the first comparison value to a first threshold value.

Abstract: A method of pacing a His bundle of a patient heart using a stimulation system including a memory, a pulse generator, a stimulating electrode and at least one sensing electrode includes applying a plurality of impulses through the stimulating electrode to induce a plurality of responses from the patient heart. Each impulse of the plurality of impulses is delivered at a different impulse energy corresponding to a respective output setting of the stimulation system. The response characteristics for each of the plurality of responses are measured and each impulse is assigned a classification based on whether the respective response characteristics indicate capture of one or both of the His bundle and a ventricle of the patient heart. The output setting and classification for each impulse is then stored in the memory.

Abstract: Methods, systems, and devices for signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In illustrative examples, captured data including detected events is analyzed to identify likely overdetection of cardiac events. In some illustrative examples, when overdetection is identified, data may be modified to correct for overdetection, to reduce the impact of overdetection, or to ignore overdetected data. New methods for organizing the use of morphology and rate analysis in an overall architecture for rhythm classification and cardiac signal analysis are also discussed.

Abstract: A method for accurately extracting an abnormal potential within a QRS, comprising: in an ideal electrocardiographic signal pre-estimation stage, pre-estimating an ideal electrocardiographic signal using a non-linear transformation technology; according to the pre-estimated ideal electrocardiographic signal, further estimating the ideal electrocardiographic signal by using a spline method, so as to accurately estimate the ideal electrocardiographic signal; and according to the accurately estimated ideal electrocardiographic signal, accurately extracting an abnormal potential within the QRS by means of a mobile standard deviation analysis technology. The method can be used not only on an average electrocardiographic signal after multiple superimposition, but also on a single beat electrocardiographic signal.

Abstract: A computer implemented method and system are provided for detecting premature ventricular contractions (PVCs) in cardiac activity. The method and system obtain cardiac activity (CA) signals for a series of beats, and, for at least a portion of the series of beats, calculate QRS scores for corresponding QRS complex segments from the CA signals. The method and system calculate a variability metric for QRS scores across the series of beats, calculate a QRS complex template using QRS segments from the series of beats, calculate correlation coefficients between the QRS complex template and the QRS complex segments, compare the variability metric to a variability threshold and the correlation coefficients to a correlation threshold, and designate the CA signals to include a predetermined level of PVC burden based on the comparing.

Abstract: An automatic measurement point correction method includes acquiring vital signs information waveform data indicating a vital signs information waveform having a plurality of waveforms which periodically appear on a time axis, determining a plurality of measurement points for measuring a predetermined measurement item of each waveform included in the vital signs information waveform, causing the vital signs information waveform and measurement point displayers to be displayed on a displaying section, correcting a first measurement point for measuring the predetermined measurement item of a first waveform of the plurality of waveforms, as a first correction, recording the corrected first measurement point as a reference measurement point, extracting a waveform which is analogous to the first waveform, from the plurality of waveforms, and automatically correcting a measurement point for measuring the predetermined measurement item of the extracted waveform, as a second correction.

Abstract: An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine a representative signal based on the cardiac signal, the representative signal having a single polarity, and determine an end of a T-wave of the cardiac signal based on an area under the representative signal.

Abstract: A system comprises a display and a processor. The processor is configured to display on the display in a graphical user interface (GUI), while a plurality of electrogram signals are acquired from a heart, a plurality of widgets corresponding to different respective electroanatomical maps generated from the electrogram signals, each of the electroanatomical maps being associated with a respective set of suitability criteria such that any one of the electrogram signals is used to generate the map only if the signal satisfies the set of suitability criteria. The processor is further configured to display in the GUI, in response to a user selecting any one of the widgets, a status of a most recently acquired one of the electrogram signals with respect to at least one criterion in the set of suitability criteria associated with the electroanatomical map to which the selected widget corresponds. Other embodiments are also described.

Abstract: A medical device system and associated method discriminate respiratory and cardiac conditions using respiratory sounds. A sensing module acquires a first signal and a second signal, at least the second signal acquired from an acoustic transducer. A processor is configured to receive the first signal and to control the sensing module to acquire the second acoustic signal in response to a change in the first signal. The processor discriminates between a cardiac condition and a respiratory condition as a cause of the change in the first signal in response to the second acoustic signal.

Abstract: An example method includes analyzing morphology and/or amplitude of each of a plurality of electrophysiological signals across a surface of a patient's body to identify candidate segments of each signal satisfying predetermined conduction pattern criteria. The method also includes determining a conduction timing parameter for each candidate segment in each of the electrophysiological signals.

Abstract: Described here are methods, devices and systems for characterizing a physiological signal such as an electrocardiogram (ECG) signal. Generally, the method includes receiving the ECG signal generated by an ECG device coupled to a patient. ECG signal quality for a plurality of consecutive beats may be determined based on a dispersion coefficient and a deviation from an average of each of a plurality of ECG parameters. Indexing information may be generated for set of sequences from the plurality of consecutive cardiac beats. Each of the sequences may comprise a first predetermined number of consecutive cardiac beats. The set of the sequences may be ordered based upon the ECG signal quality.

Abstract: An example system and method associated with identifying and treating a source of a heart rhythm disorder are disclosed. In accordance with 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. A plurality of indexes of progressive rotational activations or progressive focal activations over time is formed. One or more indexes are selected from the plurality of indexes that indicate consistency of the successive rotational activations or the progressive focal activations in relation to a portion of the region of the heart.

Abstract: The invention relates generally to systems and devices for material delivery, energy delivery, and/or monitoring electrophysiological activity, and method of use thereof. In particular, the present invention provides devices and systems, and methods of use thereof, configured to deliver therapeutic compositions, to provide electroporation and/or sonoporation to increase therapeutic efficiency, and to monitor electrophysiological activity, for example, before and after treatment.

Abstract: A sleep monitoring system includes an ECG device and a respiration inductance plethysmogram which monitor cardiac activity and physical respiration respectively and feed representative signals to a digital data processor. Operations process the beat interval data, while in a second thread, operations independently process the amplitude modulation of the ECG data caused by the respiratory motion of the subject. The inductance plethysmogram device provides an input to the processor which represents respiration as directly monitored independently of the ECG. Operations process this direct respiration data independently and in parallel, in a third thread. All extracted features are fed to a classifier which in step combines selected combinations of features to make decisions in real time.

Abstract: A cardiac medical system, such as an implantable cardioverter defibrillator (ICD) system, receives a cardiac electrical signal by and senses cardiac events when the signal crosses an R-wave sensing threshold. The system determines at least one sensed event parameter from the cardiac electrical signal for consecutive cardiac events sensed by the sensing circuit and compares the sensed event parameters to P-wave oversensing criteria. The system detects P-wave oversensing in response to the sensed event parameters meeting the P-wave oversensing criteria; and adjusts at least one of an R-wave sensing control parameter or a therapy delivery control parameter in response to detecting the P-wave oversensing.

Abstract: Methods, systems, and devices for signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In illustrative examples, captured data including detected events is analyzed to identify likely overdetection of cardiac events. In some illustrative examples, when overdetection is identified, data may be modified to correct for overdetection, to reduce the impact of overdetection, or to ignore overdetected data. New methods for organizing the use of morphology and rate analysis in an overall architecture for rhythm classification and cardiac signal analysis are also discussed.

Abstract: A method and system for high-throughput prediction of the onset of heart arrhythmias observes trends in abnormal or pathologic morphology of the electrocardiogram (ECG). A first set of ECG signals is monitored from a patient. A baseline measurement is generated from the monitored first set of ECG signals to contain nonpathologic ECG morphologies in each lead. A second set of ECG signals is monitored from the patient and a second baseline measurement is generated from the second set of ECG signals. A residuum signal is generated for each lead based on the baseline measurement and the second baseline measurement. The residuum signals are averaged across the leads. R-wave heterogeneity, T-wave heterogeneity, P-wave heterogeneity, or ST-segment heterogeneity or other indicators of arrhythmia risk or myocardial ischemia are quantified based on the generated residuum signals and the averaged residuum signal.

Abstract: A method and system for low-distortion denoising of an ECG signal are disclosed. The method comprises determining at least one beat of the ECG signal for denoising using a beat selection logic and denoising the at least one beat using at least one ensemble averaging filter. The system includes a sensor to detect the ECG signal, a processor coupled to the sensor, wherein the processor includes a beat selection logic unit, and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to determine at least one beat of the ECG signal for denoising using a beat selection logic and to denoise the at least one beat using at least one ensemble averaging filter.

Abstract: The invention relates to a method for determining the physical and/or psychological state of a subject. The heart rate variability (HRV) of the subject is analyzed in the time domain, wherein at least one frequency distribution of interbeat intervals (IBI) which are detected in at least one examination time period (1) is examined in the analysis. In order to obtain particularly significant and quickly interpretable information for this purpose, the frequency distribution is examined for a multimodal distribution.

Abstract: A management method for outpatient electrocardiography on a patient using an ECG recorder, an administration network, a first mobile device and at least one second mobile device is provided. In order to initialize outpatient electrocardiography on a patient, the first mobile device is connected to the ECG recorder and to the administration network and in the process an identification code assigned to the ECG recorder is transmitted from the ECG recorder to the administration network. After the verification of the authorizations of the mobile device, at least one certificate assigned to the ECG recorder is provided by the administration network and is transmitted to the ECG recorder for storage via the mobile device. The second mobile device is connected to the ECG recorder and to the administration network and in the process the identification code assigned to the ECG recorder is transmitted from the ECG recorder to the administration network.

Abstract: An approach is provided for transforming curvature values into bin values for comprehensible description. The approach involves causing, at least in part, an application of at least one transformation function to one or more data values to transform the one or more data values into one or more bin values. The approach also involves causing, at least in part, a binning of the one or more bin values into one or more respective bins based, at least in part, on the one or more continuous bin values. The approach further involves processing and/or facilitating a processing of the one or more bin values in the respective one or more bins to determine statistical information for the respective one or more bins. The approach also involves causing, at least in part, a re-transformation of the statistical information, the one or more bin values, or a combination thereof into the one or more data values following the determination of the statistical information.

Abstract: Various aspects of the present subject matter provide an implantable medical device. In various embodiments, the device comprises a pulse generator, a first monitor and a controller. The pulse generator is adapted to generate a neural stimulation signal for a neural stimulation therapy. The neural stimulation signal has at least one adjustable parameter. The first monitor is adapted to detect an undesired effect. In some embodiments, the undesired effect is myocardial infarction. The controller is adapted to respond to the first monitor and automatically adjust the at least one adjustable parameter of the neural stimulation signal to avoid the undesired effect of the neural stimulation therapy. Other aspects are provided herein.

Abstract: An information processing apparatus includes a retaining unit, an image acquisition unit, an image processor, a comparator, and an image generator. The retaining unit is configured to retain a defined attachment position being an attachment position of a biological detection sensor with respect to a body site of a user, the defined attachment position being defined in advance. The image acquisition unit is configured to acquire a capture image captured by an imaging unit. The image processor is configured to extract, from the capture image, a body shape of the user. The comparator is configured to compare the body shape with the defined attachment position. The image generator is configured to generate, based on a comparison result by the comparator, a display image to be displayed on a display unit.

Abstract: Medical devices and methods for making and using medical devices are disclosed. A method for removing an artifact of a biological reference signal present in a biological source signal may comprise sensing a biological reference signal with one or more electrodes and sensing a biological source signal, wherein the biological source signal comprises an artifact of the biological reference signal. The method may further comprise determining, based on the biological reference signal, the artifact of the biological reference signal and subtracting the artifact of the biological reference signal from the sensed biological source signal.

Abstract: An electrode assembly for an EIT scanning device (11) including an electrode (15), a current supply unit (17), a voltage buffer unit (19), a switch logic unit (21), and lines for connecting the different elements, whereby the switch logic unit (21) comprises at least one element of a first shift register (27) and at least one element of a second shift register (29). A belt-like device comprising a plurality of said electrode assemblies. A method of measuring an EIT-image using such electrode assemblies preferably arranged in such a belt-like device.

Abstract: A system and method are provided for the detection of a heart-related condition by obtaining information in real-time when a condition is initially identified as potentially occurring. A physical exercise and recovery episode is initially detected from physiological signals sensed in a patient. Once detected, a HR-ST segment deviation hysteresis analysis is performed in an implantable medical device (IMD) from certain physiological signals over portions of the exercise and recovery episode to identify the probability that a certain condition is occurring. Once a desired level of probability that the heart-related condition has been detected exists, data utilized in the analysis can be transmitted remotely for clinical review and confirmation of the device's detection of the condition. The patient may be prompted to answer questions related to symptoms that patient is experiencing through an input device in order further confirm the probability that the condition is occurring in the patient.

Abstract: A method and apparatus for detecting a cardiac event in a medical device that includes sensing a cardiac signal, detecting a cardiac event in response to the sensed signal, determining whether an interval associated with the cardiac signal is less than an interval threshold, determining a noise metric in response to an interval associated with the cardiac signal being less than the interval threshold, determining whether the noise metric is greater than a noise metric threshold, and determining whether to inhibit detecting in response to determining whether an interval associated with the cardiac signal is less than the interval threshold and determining whether the noise metric is greater than the noise metric threshold.

Abstract: An intracardiac pacemaker is configured to receive a cardiac electrical signal developed across a pair of electrodes coupled to the pacemaker and detect a crossing of a first sensing threshold of the cardiac electrical signal. A pacing escape interval timer is set to a first pacing escape interval in response to the cardiac electrical signal crossing the first sensing threshold. The pacing escape interval timer is adjusted if the cardiac electrical signal crosses a second sensing threshold during a time limit.

Abstract: This invention discloses a system and a method for extracting VF signal in ECG recorded during uninterrupted CPR. The present invention provides a method for extracting a Ventricular fibrillation (VF) signal in Electrocardiography (ECG), comprising: receiving an ECG signal; adding a plurality of shadowing functions to the ECG signal, to obtain a plurality of modification signals; decomposing the plurality of modification signals by using an Empirical Mode Decomposition (EMD) method, to generate a plurality of Intrinsic Mode Functions (IMFs); calculating the sum of IMFs in different frequency regions based on time sequence, dividing by a number of the shadowing signal, to obtain a plurality of modification intrinsic mode functions; combining the plurality of modification IMFs with the same property, to obtain a shape function; modeling the shape functions to obtain a compression signal; and subtracting the compression signal from the ECG signal based on time sequence, to obtain the VF signal.

Abstract: Technology for transmitting and receiving a biosignal based on a pattern related to the biosignal and a feature point included in the biosignal. A biosignal transmitter includes a biosignal obtaining unit configured to obtain a biosignal comprising a plurality of unit signals, a parsing unit configured to parse the biosignal to extract a first unit signal of the plurality of unit signals, a pattern obtaining unit configured to obtain a pattern related to the biosignal based on the first unit signal, and a transmitting unit configured to transmit information related to a feature point of the first unit signal based on the first unit signal and the pattern.

Abstract: A method of producing an artificial neural network capable of predicting the survivability of a patient, including: storing in an electronic database patient health data comprising a plurality of sets of data, each set having at least one of a first parameter relating to heart rate variability data and a second parameter relating to vital sign data, each set further having a third parameter relating to patient survivability; providing a network of nodes interconnected to form an artificial neural network, the nodes comprising a plurality of artificial neurons, each artificial neuron having at least one input with an associated weight; and training the artificial neural network using the patient health data such that the associated weight of the at least one input of each artificial neuron is adjusted in response to respective first, second and third parameters of different sets of data from the patient health data.

Abstract: The present invention provides a system for providing neurological disease state information to a patient. The system comprises one or more sensors that sense at least one signal that comprise feature(s) that are indicative of a neurological disease state. A signal processing assembly is in communication with the one or more sensors and processes the at least one signal to estimate the neurological disease state. A patient interface module is in communication with the signal processing assembly and communicates with a patient an output that is indicative of the patient's estimated neurological disease state.

Abstract: A system for writing data includes a memory, at least one memory controller and control logic. The memory stores data units. The memory controller receives a write request associated with a data unit and stores the data unit in the memory. The memory controller also transmits a reply that includes an address where the data unit is stored. The control logic receives the reply and determines whether the address in the reply differs from an address included in replies associated with other memory controllers by a threshold amount. When this occurs, the control logic performs a corrective action to bring an address associated with the memory controller back within a defined range.

Abstract: The present application discloses a method of detecting abnormal movement of a physical object. A periodic signal is representative of the movement of the object. According to some embodiments, a raw matrix having a first array and a second array is generated, and then an integrated matrix is generated by performing a dimension reduction on the raw matrix. A likelihood of a predetermined type of abnormal movement of the physical object is determined by comparing the integrated matrix with a predetermined benchmark pattern. In some embodiments, the generation of the raw matrix includes performing a first analysis on a predetermined portion of the periodic signal to generate the first array and performing a second analysis different from the first analysis on the predetermined portion of the periodic signal to generate the second array.