Abstract: An example method of analyzing electrocardiogram (ECG) signals includes receiving, at an ECG device, ECG signals from a multi-lead ECG system. The multi-lead ECG system includes multiple electrodes and leads, and each lead of the multi-lead ECG system provides one of the ECG signals and is coupled to more than one of the multiple electrodes, where certain electrodes are coupled to more than one lead. The method also includes detecting artifact in one or more of the ECG signals, classifying the artifact as a type of artifact, determining which leads of the multiple leads contain at least a threshold amount of the type of artifact, for the leads of the multiple leads that contain at least the threshold amount of the type of artifact identifying a common electrode to the leads, and generating a notification by the ECG device indicating that the common electrode is sensing the artifact.

Abstract: A medical method of automatically improving signals received from a patient's physiological system can include delivering stimulation signals to a nerve pathway of a patient with electrical pulses via electrodes placed over the nerve pathway to generate a plurality of resultant electrical waveforms (EPs) based on a plurality of electrophysiological responses (ERs); recording the plurality of resultant EPs; generating an ensemble average waveform (EA), the generating comprising averaging a subset of the plurality of ERs; and denoising the EA, the denoising comprising applying a wavelet transform to the EA.

Abstract: A touch detection device that includes: a steering body; a sensor electrode provided at the steering body and having an electrostatic capacitance; and a measurement control section configured to: measure the electrostatic capacitance of the sensor electrode over a measurement cycle according to a measurement frequency and to output a detection value according to values measured by setting the measurement frequency to 50 Hz or 60 Hz for removal target frequencies of 50 Hz and 60 Hz, set the measurement cycle and a period for calculating a segment average of the measurement values based on the measurement frequency, and set an interval between adjacent averaging segments for calculating the segment average such that one segment average value is suppressed by another segment average value for 50 Hz and 60 Hz frequency components, and output an averaged measurement value for the two averaging segments as the detection value.

Abstract: A computer-implemented method may comprise providing a wireless tri-axial seismocardiography (SCG) device configured to measure and time-stamp movements of a user's chest caused by the user's heart beats; positioning the SCG device on the user's chest in a predetermined orientation and initiating a test; using the positioned SCG device, detecting, sampling, digitizing and time-stamping movement vectors of the user's chest over a predetermined period of time in each of x, y and z directions; storing the time-stamped digitized movement vectors in a memory of the SCG device and sending the time-stamped digitized movement vectors to at least one of the app on the mobile device and the remote server over a computer network; receiving, by the app on the mobile device, a plurality of fiduciary markers from the remote server, the plurality of fiduciary markers being detected from or derived using the time-stamped digitized movement vectors in each of x, y and z directions; and generating a report on the mobile device

Abstract: The present invention relates to an ECG electrode connector (1) and an ECG cable. To eliminate a trunk cable of a conventional ECG cable arrangement, the ECG electrode connector (1) is configured for mechanically and electrically connecting an ECG electrode with a lead wire. It comprises a connection arrangement (10) for mechanically connecting the ECG electrode connector (1) with an ECG electrode (100), a lead wire terminal (14) for connection with a signal line (301) of a lead wire (300), a shield terminal (15) for connection with a shield (302) of the lead wire (300), an electrode contact (17) for contacting an electrical contact (101) of the ECG electrode (100), a voltage clamping element (13) coupled between the lead wire terminal (14) and the shield terminal (15), and a resistor (16) coupled between the lead wire terminal (14) and the electrode contact (17).

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

Abstract: A system including a means for estimating the residual noise level in electrocardiogram (ECG) signals is disclosed. The disclosed system and methods may be used in an electrocardiograph devices. According to an exemplary embodiment of the present invention, a plurality of electrodes positioned in proximity to a cardiac structure may measure an electrical signal of the cardiac structure to produce the ECG signal. The system may segment the ECG signal into a plurality of segments. For each of the plurality of segments, the linear trend energy and/or direct current (DC) energy may be removed from the segment, and the estimated noise energy of the segment may be calculated. A subset of the plurality of segments with a minimum estimated noise energy may be selected. The residual noise energy of the ECG signal may be estimated by calculating an average of the estimated noise energy over the subset of segments.

Abstract: A method comprising: at a training stage, training a machine learning algorithm on a training set comprising: (i) Heart Rate Variability (HRV) parameters extracted from temporal beat activity samples, wherein at least some of said samples include a representation of a Ventricular Fibrillation (VF) event, (ii) labels associated with one of: a first period of time immediately preceding a VF event in a temporal beat activity sample, a second period of time immediately preceding the first period of time in a temporal beat activity sample, and all other periods of time in a temporal beat activity sample; at an inference stage, receiving, as input, a target HRV parameters representing temporal beat activity in a subject; and applying said machine learning algorithm to said target HRV parameters, to predict an onset time of a VF event in said subject.

Abstract: The present invention relates generally to an electro-mechanic assembly comprising a snap connector. In order to provide a connection interface for an electronic device having a housing with at least one protruding stud which detachably fits within a socket region of the snap connector, the electro-mechanic assembly comprises a snap and at least one material layer being in at least one portion electrically conductive to electrically connect least one electrode with the snap. At least one surface of said snap is metallic and deposited with a non-oxidizing conductive material layer which faces and is in contact with a conductive portion of the material layer.

Abstract: The occurrence of a sudden change in physical condition is detected. In a physical condition determination device 100, a heart rate-relate index calculation unit 110 specifies an appearance time of a sign of a sudden change in heart rate, from a time-series waveform of an index corresponding to a variation in the heart rate (heart rate-related index) and a blood pressure-related index calculation unit 120 specifies an appearance time of a sign of a sudden change in blood pressure, from a time-series waveform of an index corresponding to a variation in the blood pressure (blood pressure-related index). A physical condition sudden change determination unit 130 determines that a sudden change in physical condition (physical condition sudden change) has occurred in a case where these appearance times are both within a predetermined time.

Abstract: A blood pressure device includes a first blood pressure measuring device, a second blood pressure measuring device, and a controller. The first blood pressure measuring device is to be worn on a first position of a wrist so as to obtain a first blood pressure information of the first position. The second blood pressure measuring device is to be worn on a second position of the wrist so as to obtain a second blood pressure information of the second position. The controller is electrically coupled to the first blood pressure measuring device and the second blood pressure measuring device so as to adjust tightness between the expanders and the user's skin, respectively. The controller receives, processes, and calculates a pulse transit time between the first blood pressure information and the second blood pressure information, and the controller obtains at least one blood pressure value based on the pulse transit time.

Abstract: During a medical procedure, a transseptal fenestration is made at a septum of the heart and a shunt is implanted into the transseptal fenestration. During the same medical procedure, a transapical puncture is made into a left ventricle of the heart. A prosthetic valve is delivered via the transapical puncture and implanted at a mitral valve of the heart. Subsequently to delivering the prosthetic valve and making the transseptal fenestration, the transapical puncture is closed. Other embodiments are also described.

Abstract: Disclosed embodiments include wearable devices and techniques for detecting cardio machine activities, estimating user direction of travel, and monitoring performance during cardio machine activities. By accurately and promptly detecting cardio machine activities and automatically distinguishing between activities performed on different types of cardio machines, the disclosure enables wearable devices to accurately calculate user performance information when users forget to start and/or stop recording activities on a wide variety of cardio machines. In various embodiments, cardio machine activity detection techniques may use magnetic field data from a magnetic field sensor to improve the accuracy of orientation data and device heading measurements used to detect the end of a cardio machine activity.

Abstract: Hat, helmet, and other headgear apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.

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 device for transmitting and sensing signals comprises a non-conductive substrate adherable to a skin of a subject, two or more electrical contacts printed on the substrate, and a disposable connector, connectable to a compatible cable connector of a cable which receives signals from the contacts via the disposable connector. The disposable connector has a symmetric shape such that mating between the disposable connector and the compatible cable connector is established at either one of two flipped orientations.

Abstract: A wearable garment and an arrangement of electrodes configured to measure bioelectrical signals from a patient. The dry electrodes are free from adhesives to hold the electrodes in place on the patient's skin. The arrangement of the electrodes may be configured to limit noise and facilitate accurate signal sensing from the patient even with some amount of relative movement between the electrodes and the patient's skin. The wearable garment may be controllable to change the amount of compression based on the sensed signals from the electrodes, and from other sensors. The garment may maintain a comfortable level of compression until processing circuitry detects a signal of interest, such as a cardiac arrhythmia, irregular respiration, or some other signal. The processing circuitry may cause the wearable garment to increase compression to improve the contact between the electrodes and the patient's skin and improve reception of the measured signals.

Abstract: A system for treating atrial fibrillation includes a memory configured to store a baseline measurement of an atrial fibrillation characteristic of a patient and a post administration measurement of the atrial fibrillation characteristic of the patient. The post administration measurement is obtained subsequent to administration of a reactive oxygens species (ROS) scavenger to the patient. The system also includes a processor operatively coupled to the memory and configured to determine a change between the baseline measurement and the post administration measurement of the atrial fibrillation characteristic. The processor is further configured to identify, based on the determined change, one or more hot spots of atrial fibrillation, where the one or more hot spots comprise target areas for treatment of the atrial fibrillation.

Abstract: This disclosure is directed to devices, systems, and techniques for determining an efficacy of a treatment program. For example, a medical device system includes a medical device including one or more sensors configured to generate a signal that indicates a parameter of a patient. Additionally, the medical device system includes processing circuitry configured to receive data indicative of a user selection of a reference time; determine a plurality of parameter values of the parameter based on a portion of the signal corresponding to a period of time including the reference time. Additionally, the processing circuitry is configured to identify, based on a first set of parameter values, a reference parameter value, calculate a parameter change value, and determine, based on the parameter change value, whether an improvement or a worsening of the patient has occurred responsive to a treatment administered beginning at the reference time.

Abstract: The present invention provides methods and systems that provide for reliable, convenient, and noninvasive assessment of hydration status. The methods and apparatuses can use the temporal sequence of the aortic value opening and closing along with the user's body position to derive parameters that determine the hydration status of the user. The user can use this information to make near-term lifestyle changes that can improve physical performance, health, and general wellbeing.

Abstract: A triboelectric wearable device (100) and a method for physiological monitoring, comprising: a support element (101); a first element (102) consisting of a first metallic contact (102a) and a second metallic contact (102b) between which is placed a dielectric layer, said first element (102) being able to be placed in contact with a wrist (50) of a user and bonded to the support element (101); a second element (103) overlapped and bonded to the first element (102) and to the support element (101). The triboelectric wearable device (100) further comprises an electronic interface (104) for acquiring and processing the signal generated by means of the triboelectric effect in the blood vessels of the user near the wrist (50), said electronic interface (104) being housed into the support element (101) and connected to the first metallic contact (102a) and to the second metallic contact (102b) of the first element (102).

Abstract: Systems, methods, and computer program product embodiments are disclosed for displaying cardiac signals based on a signal pattern. An embodiment operates by accessing an input cardiac signal. The embodiment matches a portion of the input cardiac signal to a known signal pattern. The embodiment then displays an indication of a degree of the match.

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. An ST segment and one or more ST subwaveforms within the ST segment are identified from the plurality of subwaveforms and discontinuity points based on the comparison. The ECG waveform with the one or more ST subwaveforms within the ST segment is displayed.

Abstract: Computer implemented methods, devices and systems for monitoring a trend in heart failure (HF) progression are provided. The method comprises sensing left ventricular (LV) activation events at multiple LV sensing sites along a multi-electrode LV lead. The activation events are generated in response to an intrinsic or paced ventricular event. The method implements program instructions on one or more processors for automatically determining a conduction pattern (CP) across the LV sensing sites based on the LV activation events, identifying morphologies (MP) for cardiac signals associated with the LV activation events and repeating the sensing, determining and identifying operations, at select intervals, to build a CP collection and an MP collection. The method calculates an HF trend based on the CP collection and MP collection and classifies a patient condition based on the HF trend to form an HF assessment.

Abstract: A biosignal measurement apparatus is used by being affixed on a living body. The apparatus includes an affixed part that is a sheet, in which a signal-acquiring section of multiple electrodes and wiring connected to each of the electrodes are formed, and which can be freely expanded, contracted and bent and is adhesive; and a substrate that is connected to the wiring and on which a signal-processing circuit for wirelessly transmitting biosignals obtained through the wiring is mounted. The signal-acquiring section is exposed on the surface of the affixed part and the affixed part and the substrate are stacked so that the back surface of the affixed part faces the substrate.

Abstract: Methods, systems, and devices that are used for improving cardiac resynchronization therapy (CRT) are described herein. Such a method can include, for each set of pacing parameters, of a plurality of sets of pacing parameters, performing CRT using a set of pacing parameters and simultaneously therewith sensing a plurality of intracardiac electrograms (IEGMs) using different combinations of implanted electrodes. Additionally, for each set of pacing parameters, of the plurality of sets of pacing parameters, the method includes producing a respective reconstructed multi-lead surface electrocardiogram (ECG) based on the plurality of IEGMs that were sensed while CRT was performed using the set of pacing parameters. The method also includes analyzing the reconstructed multi-lead surface ECGs that were produced for the plurality of sets of pacing parameters, and based on results thereof, identifying a set of pacing parameters to be use for further CRT.

Abstract: Embodiments of this disclosure are directed to a wearable cardioverter defibrillator (“WCD”) system design in which a WCD implements an alert prioritization scheme to provide the patient with feedback in an order that is less likely to cause confusion. Different conditions (e.g., device status, equipment condition, or physiologic condition) are prioritized based on an analysis of severity of the condition and timeliness of user action needed. The prioritization scheme defines what alert, if any, is presented to the user by the WCD system as a result of various conditions. Generally stated, an alert for the highest priority condition currently detected is presented to the user and maintained until that condition either changes or becomes surpassed in the prioritization scheme.

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: System and method for determining real-world effectiveness of various prescribed medications. Here a variety of different types of patient pulse wave measurements (e.g., blood pressure, pulse oximeter, ECG) and other physiological measurements are obtained. This actual data is compared to calculated measurements that would be expected based on various patient baseline measurements in the absence of medication, schedule of medications, and impact of medications the various patient baseline measurements. If the actual data meets expectations, then the medication is likely acting as anticipated. Depending on which types of data do not meet expectations, problems with one or more previously described medications may be reported.

Abstract: Methods, systems, and devices for measuring respiratory parameters from an ECG device are described. The method may include receiving an electrocardiogram (ECG) signal associated with a patient. The method may further include detecting a change in modulation of the ECG signal between a first portion of the ECG signal and a second portion of the ECG signal. The method may further include determining a change in respiratory effort of the patient based at least in part on the change in modulation.

Abstract: This disclosure describes systems and methods for electrocardiographic waveform analysis, data presentation and actionable advisory generation. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis can be performed on the electrocardiographic waveform data to provide cardiac analytics. A visualization of the cardiac analytics on a dashboard display can be generated. A value can be based on a comparison of the cardiac analytics to at least one baseline value for the patient; and a decision of whether or not to generate an actionable advisory for the electrocardiographic waveform data can be made based on the value. When the actionable advisory is generated, the actionable advisory is sent to one or more medical professionals, where it can be modified, and displayed with the visualization of the cardiac analytics.

Abstract: The present invention provides a detection circuit for a connection impedance and an electronic device. The detection circuit includes: a detection operational amplifier module, wherein the detection operational amplifier module includes: a first buffer, a switch unit, and a main operational amplifier; a first input terminal of the first buffer is connected to a first acquisition electrode through a first front-end circuit, an output terminal of the main operational amplifier is connected to a back-end circuit, and an output terminal of the first buffer is connected to a second input terminal of the first buffer; a first terminal of the switch unit is directly or indirectly connected to the first front-end circuit, and a second terminal of the switch unit is connected to the back-end circuit; and the switch unit is configured to: control the first front-end circuit to be directly connected to the back-end circuit, to form a straight-through channel.

Abstract: A method and system for predicting the likelihood that a patient will suffer from a cardiac event is provided. The method includes receiving electrocardiogram data associated with the patient, providing at least a portion of the electrocardiogram data to a trained model, receiving a risk score indicative of the likelihood the patient will suffer from the cardiac event within a predetermined period of time from when the electrocardiogram data was generated, and outputting the risk score to at least one of a memory or a display for viewing by a medical practitioner or healthcare administrator. The system includes at least one processor executing instructions to carry out the steps of the method.

Abstract: In an embodiment, a method comprises: establishing, by a wireless wearable computer worn by a user, a wireless communication connection with a fitness machine; obtaining machine data from the fitness machine while the user is engaged in a workout session on the fitness machine; obtaining, from a heart rate sensor of the wireless device, heart rate data of the user; determining a work rate caloric expenditure by applying a work rate calorie model to the machine data; determining a calibrated maximal oxygen consumption of the user based on the heart rate data and the work rate caloric expenditure; determining a heart rate caloric expenditure by applying a heart rate calorie model to the heart rate data and the calibrated maximal oxygen consumption of the user; and sending to the fitness machine via the communication connection, at least one of the work rate caloric expenditure or the heart rate caloric expenditure.

Abstract: A medical device that includes a power source, a therapy delivery interface, therapy electrodes, electrocardiogram (ECG) sensing electrodes to sense ECG signal of a heart of a patient, a sensor interface to receive and digitize the ECG signal, and a processor. The processor is configured to analyze the ECG signal to determine a cardiac rhythm and a transform value representing a magnitude of a frequency component of the cardiac rhythm, analyze the cardiac rhythm and the transform value to detect a shockable cardiac arrhythmia by classifying the cardiac rhythm as a noise rhythm or a shockable cardiac arrhythmia rhythm based on the transform value, and causing the processor to detect the cardiac arrhythmia if classifying the cardiac rhythm as a shockable cardiac arrhythmia rhythm, initiate a treatment alarm sequence, adjust the shock delivery parameter for a defibrillation shock, and provide the defibrillation shock via the therapy electrodes.

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

Abstract: A radio frequency (RF) transmit—receive coil for a magnetic resonance (MR) imaging system includes an integrated vital signs detector for the detection of vital signs of a patient within the MR imaging system. The coil includes a contactless sensor system for monitoring vital signs, which makes it easier to measure vital signs of the patient.

Abstract: Computer implemented methods and systems for detecting noise in cardiac activity are provided. The method and system obtain a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats, overlay a segment of the CA signals with a noise search window, and identify turns in the segment of the CA signals. The method and system determine whether the turns exhibit a turn characteristic that exceed a turn characteristic threshold, declare the segment of the CA signals as a noise segment based on the determining operation, shift the noise search window to a next segment of the CA signal and repeat the identifying, determining and declaring operations; and modify the CA signals based on the declaring the noise segments.

Abstract: A method includes assigning, to first voxels in a model of tissue of a chamber of a heart, respective first values of a parameter at respective locations on the tissue, the first voxels representing the locations, respectively. Some of the locations are on an endocardial surface of the tissue, and others of the locations are on an epicardial surface of the tissue. The method further includes assigning respective second values to second voxels in the model, a subset of which represent a portion of the tissue between the endocardial surface and the epicardial surface, by interpolating the first values. Other embodiments are also described.

Abstract: A method and system for determining a location of a treatment element relative to an anatomical feature and for estimating contact between the treatment element and the anatomical feature in the context of a navigation system. The system may include a medical device including at least one treatment element and at least one navigation electrode and a navigation system in communication with the one or more navigation electrodes, the navigation system including a processing unit. The processing unit may be programmed to determine a plurality of points that define a surface geometry of the at least one treatment element, calculate a distance between each of the points and a closest point on the anatomical feature, and estimate the likelihood of contact between the points.

Abstract: A feature identifying method and an electronic device are provided. The method includes: obtaining a plurality of physiological information obtained by measuring a subject at a plurality of time points in one day; converting the plurality of physiological information into a plurality of correlation features respectively; establishing a plurality of first risk prediction models according to the plurality of correlation features, and identifying at least one first correlation feature from the plurality of correlation features according to the plurality of first risk prediction models; establishing a plurality of second risk prediction models according to the at least one first correlation feature, and identifying, according to the plurality of second risk prediction models, at least one second correlation feature capable of predicting a specific disease from the at least one first correlation feature; and outputting the at least one second correlation feature.

Abstract: Provided is a technique for restraining the amount of information as a whole while securing, as appropriate, information contributive to determination that utilizes a sensor. This sensor device 200 comprises: a measurement unit 210 for repeatedly measuring first information and second information which is measured at time intervals longer than those for the first information; and an output unit 220 for outputting the first information and second information measured by the measurement unit 210. When the first information and the second information meet respective standards thereof, the output unit 220 outputs the second information at longer intervals.

Abstract: A method at a sensor apparatus affixed to a transportation asset, the method including detecting a trigger at the sensor apparatus; taking a threshold number of samples of a displacement-related value of the transportation asset over time; determining that a variance of the threshold number of samples exceeds a threshold; analyzing a frequency property based on the threshold number of samples; and based on the frequency property, determining whether the transportation asset is loaded or unloaded.

Abstract: Techniques for identifying onset of a cardiac event. Embodiments receive biometric data measured by at least one remote monitoring device, the biometric data comprising an electrocardiogram (ECG) data relating to a patient. It is determined that the ECG data includes a plurality of critical rhythms, and one of the plurality of critical rhythms is identified as an onset event. The ECG data is modified, based on the identified onset event. The modified ECG data facilitates treatment of the patient related to the identified onset event.

Abstract: An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software container with an interface configured to exchange information in a protocol of a software language used by the external entity of code. The architect module also creates a second concept node derived from its description in a scripted file coded in a pedagogical programming language, and connects the second concept node into the graph of nodes in the resulting AI model.

Abstract: Systems and methods for analyzing electrical activity in smooth muscle of the gastrointestinal tract of a patient are disclosed. The systems includes an electromyographic-sensing patch adapted for placement on the skin of the abdomen of the patient. The patch has at least one bipolar electrode pair, or a multitude arranged in an array, and is enabled for communication of a signal indicative of a sensed electromyographic signal. The methods include artifact removal, data normalization, and peak detection methods on data derived from the sensed electromyographic signal and employ, at least for example, machine learning methods.

Abstract: Systems and methods are disclosed to determine one or more sensing zones on a body surface for electrocardiographic mapping of a region of interest associated with the heart. The sensing zone can be utilized to facilitate acquisition, processing and mapping of electrical activity for the corresponding region of interest. In other examples, an application-specific arrangement of electrodes can also be provided based on the sensing zone that is determined for the region of interest.

Abstract: A wearable cardiac monitoring and treatment device includes a garment, a plurality of ECG electrodes, a plurality of therapy electrodes, a therapy delivery circuit, and one or more sensors configured to monitor one or more physiological signals of the patient. The device also includes a controller configured to detect an arrhythmia condition, cause the therapy delivery circuit to deliver one or more therapeutic pulses to the patient on detecting the arrhythmia condition, detect that the garment is no longer worn about the torso of the patient prior to expiration of at least a prescribed duration of wear by detecting a loss of signal for at least a threshold period of time from one or more of the plurality of ECG sensing electrodes and/or one or more of the one or more sensors, and issue a notification that the garment is no longer worn about the torso of the patient.

Abstract: Disclosed are systems, methods, and articles for determining compatibility of a mobile application and operating system on a mobile device. In some aspects, a method includes receiving one or more data values from a mobile device having a mobile medical software application installed thereon, the data value(s) characterizing a version of the software application, a version of an operating system installed on the mobile device, and one or more attributes of the mobile device; determining whether the mobile medical software application is compatible with the operating system by at least comparing the received data value(s) to one or more test values in a configuration file; and sending a message to the mobile device based on the determining, the message causing the software application to operate in one or more of a normal mode, a safe mode, and a non-operational mode.

Abstract: Apparatus and methods relate to a pneumatic compression therapy device configured to suggest content to the patient based on a determined disease state, the content pertaining to suggested changes in lifestyle based on a standard of care. In an illustrative embodiment, the suggested changes may include modifications to treatment location, treatment time, diet, eating habits, or sleeping schedule. Various examples may further sample the patient's health and automatically adjust a treatment parameter within a predetermined parameter range based on a history of measured parameters, such as limb volume, for example. In coordination with the therapeutic treatment, the therapy device may deliver suggested content to guide the patient to make more healthful lifestyle choices to reduce recovery time and improve patient health outcomes.