Abstract: Systems and methods for monitoring a pregnant patient are disclosed herein. In some embodiments, a system includes a medical device configured to be implanted in a pregnant patient, processing circuitry, and a memory operably coupled to the processing circuitry. The medical device can include a sensor configured to obtain sensor data indicative of a heart rate of the pregnant patient over a first time period. The memory can store instructions that, when executed by the processing circuitry, cause the system to perform operations including receiving the sensor data, determining a heart rate variability (HRV) based on the sensor data, receiving time index data indicative of a timing of the patient's pregnancy, generating a premature labor risk score based on the HRV data and the time index data, and outputting an indication of the premature labor risk score.

Abstract: An example system includes an implantable medical device (IMD) that includes a housing configured for subcutaneous implantation proximate a lymphatic element of a patient; and a plurality of electrodes configured to sense an impedance signal indicative of one or more physiological parameters of the lymphatic element; and processing circuitry configured to: determine the one or more physiological parameters of the lymphatic element based on the impedance signal; determine a peripheral edema status of the patient based on the one or more physiological parameters; and output an indication of the peripheral edema status.

Abstract: Various embodiments relate to a method and related device and computer-readable storage medium for evaluating a cardiac monitoring device including one or more of the following: receiving an EGM signal from a cardiac monitoring device inserted in a patient, predicting a plurality of potential cardiac episodes experienced by the patient based on the EGM signal, and analyzing the plurality of potential cardiac episodes to evaluate a state of the cardiac monitoring device. For example, the method may include characterizing a health state (e.g., device performance) and/or determining whether a change in device settings may be warranted, based on the predicted cardiac episodes.

Abstract: A system comprising: an implantable medical device (IMD) configured to determine values for one or more parameters associated with a startup of the IMD; and a programming device comprising: communications circuitry; memory; a user interface (UI); and processing circuitry configured to: retrieve, from the IMD and via the communications circuitry, the parameter values for the one or more parameters; apply a machine learning (ML) model stored in the memory to the parameter values, wherein the ML model is trained via a data set comprising a plurality of parameter values from one or more IMDs and corresponding results of startup procedures performed by the one or more IMDs; determine, based on outputs from the ML model, a probability of the IMD having a future startup failure within a period of time; and cause the UI to output a notification indicating the probability.

Abstract: A method of predicting an adverse event in a patient having an implantable blood pump including correlating a pulsatility value to a flow trough value associated with the blood pump to determine a flow peak value; dividing the determined flow peak value by a pump current to determine a pulsatility peak value; tracking a first moving average of the pulsatility peak value, the first moving average defining a threshold range; tracking a second moving average of the pulsatility peak value, the second moving average being faster than the first moving average; and generating an alert when the second moving average deviates from the threshold range.

Abstract: An example system includes an implantable medical device (IMD), processing circuitry, and communication circuitry. The IMD is configured to receive signals from sensors, determine a plurality of detected patient metrics based on the received signals, and store the plurality of determined patient metrics in the memory. The processing circuitry is to generate higher resolution diagnostic information based on the plurality of patient metrics during an initiated period of time, wherein the initiated period of time is initiated based on an intervention being provided to the patient and/or receiving a user input. The higher resolution diagnostic information is of at least one of the plurality of patient metrics and indicative of heart recovery. The communication circuitry is configured to transmit the higher resolution diagnostic information to indicate a degree of recovery for patient metrics indicative of heart recovery.

Abstract: A method of determining a presence of suction in a patient having an implantable blood pump from down-sampled log files. The method comprising calculating a waveform index for each of a plurality of flow rate data points from the down-sampled log files. The calculated waveform index is compared with a predetermined waveform index threshold. A non-suction trough baseline is calculated from the plurality of flow rate data points. A difference between a measured trough and a calculated non-suction trough baseline is compared with a predetermined threshold. The presence of suction for each of the plurality of flow rate data points is determined if the calculated waveform index is greater than the predetermined waveform index threshold and the difference between the measured trough and a calculated non-suction trough baseline is greater than the predetermined threshold.

Abstract: A system may measure, by one or more sensors, a biometric parameter associated with a subject. The system may determine values of a control parameter based on measuring the biometric parameter. The control parameter may include blood pressure of the subject. The system may perform a control measure based on a comparison of the values of the control parameters to a threshold. Performing the control measure may include delivering therapy treatment to the subject or outputting a notification indicating an action associated with treating a medical condition. Measuring the biometric parameter, determining the values of the control parameter, and performing the control measure may be in response to one or more trigger criteria.

Abstract: A method of predicting an adverse event in a patient having an implantable blood pump including correlating a pulsatility value to a flow trough value associated with the blood pump to determine a flow peak value; dividing the determined flow peak value by a pump current to determine a pulsatility peak value; tracking a first moving average of the pulsatility peak value, the first moving average defining a threshold range; tracking a second moving average of the pulsatility peak value, the second moving average being faster than the first moving average; and generating an alert when the second moving average deviates from the threshold range.

Abstract: A method of predicting an adverse event in a patient having an implantable blood pump including correlating a pulsatility value to a flow trough value associated with the blood pump to determine a flow peak value; dividing the determined flow peak value by a pump current to determine a pulsatility peak value; tracking a first moving average of the pulsatility peak value, the first moving average defining a threshold range; tracking a second moving average of the pulsatility peak value, the second moving average being faster than the first moving average; and generating an alert when the second moving average deviates from the threshold range.

Abstract: A method of determining a presence of suction in a patient having an implantable blood pump from down-sampled log files. The method comprising calculating a waveform index for each of a plurality of flow rate data points from the down-sampled log files. The calculated waveform index is compared with a predetermined waveform index threshold. A non-suction trough baseline is calculated from the plurality of flow rate data points. A difference between a measured trough and a calculated non-suction trough baseline is compared with a predetermined threshold. The presence of suction for each of the plurality of flow rate data points is determined if the calculated waveform index is greater than the predetermined waveform index threshold and the difference between the measured trough and a calculated non-suction trough baseline is greater than the predetermined threshold.

Abstract: The present disclosure provides, in some examples, a method, a system, and a computer program for vectorizing a QR code with an image in an online store or platform, digitizing the QR code with associated image, printing the QR code with the image on a sublimation/heat transfer paper, placing the paper onto a fabric, loading a cutter machine with the fabric, cutting the fabric into a patch with design details of QR code, and placing the patch onto a garment.

Abstract: A method determining adverse events from operation of an implantable blood pump including calculating a moving average convergence divergence (MACD) based on power consumed by the implantable blood pump to maintain a constant rotational speed of an impeller of the implantable blood pump. An alert is generated when the calculated MACD diverges from a predetermined MACD threshold and a predetermined MACD zero-crossing time threshold.

Abstract: A method determining adverse events from operation of an implantable blood pump including calculating a moving average convergence divergence (MACD) based on power consumed by the implantable blood pump to maintain a constant rotational speed of an impeller of the implantable blood pump. An alert is generated when the calculated MACD diverges from a predetermined MACD threshold and a predetermined MACD zero-crossing time threshold.

Abstract: A method of predicting an adverse event in a patient having an implantable blood pump including correlating a pulsatility value to a flow trough value associated with the blood pump to determine a flow peak value; dividing the determined flow peak value by a pump current to determine a pulsatility peak value; tracking a first moving average of the pulsatility peak value, the first moving average defining a threshold range; tracking a second moving average of the pulsatility peak value, the second moving average being faster than the first moving average; and generating an alert when the second moving average deviates from the threshold range.

Abstract: A method of detecting a disruption in a diurnal rhythm of a patient having an implantable blood pump comprising calculating a moving average convergence divergence (MACD) based on power consumed by the implantable blood pump to maintain a constant rotational speed of an impeller of the implantable blood pump and generating an alert when the calculated MACD does not cross a MACD zero line for a predetermined MACD zero line crossing time threshold.

Abstract: A method of predicting an adverse event associated with an implantable blood pump including determining a plurality of pump parameters, comparing the plurality of pump parameters to a plurality of threshold values corresponding to the plurality of pump parameters, calculating a weighted sum using the compared plurality of pump parameters to the plurality of threshold values, calculating an adverse event risk score using the calculated weighted sum, and generating an alert when the calculated adverse event risk score deviates from a predetermined value.

Abstract: The present disclosure provides, in some examples, a method, a system, and a computer program for vectorizing a QR code with an image in an online store or platform, digitizing the QR code with associated image, printing the QR code with the image on a sublimation/heat transfer paper, placing the paper onto a fabric, loading a cutter machine with the fabric, cutting the fabric into a patch with design details of QR code, and placing the patch onto a garment.

Abstract: A method of detecting a disruption in a diurnal rhythm of a patient having an implantable blood pump comprising calculating a moving average convergence divergence (MACD) based on power consumed by the implantable blood pump to maintain a constant rotational speed of an impeller of the implantable blood pump and generating an alert when the calculated MACD does not cross a MACD zero line for a predetermined MACD zero line crossing time threshold.

Abstract: A method of detecting a disruption in a diurnal rhythm of a patient having an implantable blood pump comprising calculating a moving average convergence divergence (MACD) based on power consumed by the implantable blood pump to maintain a constant rotational speed of an impeller of the implantable blood pump and generating an alert when the calculated MACD does not cross a MACD zero line for a predetermined MACD zero line crossing time threshold.