A method of determining a fused sensor measurement is disclosed including: obtaining sensor measurements from sensors detecting a same type of physiological measurement; determining a signal quality index (SQI) of each sensor including determining an extent to which a sensor measurement differs from others among the sensor measurements obtained from each sensor; determining a weightage of each sensor based on the SQI of each sensor; and determining a fused sensor measurement from the plurality of sensors based on the weightage of each sensor and filtered sensor measurements of each sensor obtained from a Kalman filter operation. A vehicle safety system includes: a vehicle electronic control unit configured to: determine the sensor measurement extent, to determine the SQI of each sensor, determine the weightage of each sensor, determine the fused sensor measurement, determine the occupant's physiological condition, and if the physiological condition is abnormal, perform at least one vehicle operation.

Systems and methods for dynamically controlling His-bundle pacing (HBP) according to an indication of a rate-related or intermittent atrioventricular (AV) block in a subject are disclosed. An exemplary medical system includes an AV conduction monitor to detect an indication of either a presence or an absence of intermittent or rate-related AV conduction disturbance using physiologic information of the subject. In the event that an intermittent or rate-related AV conduction disturbance is present, a control circuit provides a control signal to an electrostimulation circuit to deliver HBP pulses. If there is no indication of intermittent or rate-related AV conduction disturbance, or a previously detected intermittent or rate-related AV conduction disturbance has been terminated, the control circuit withholds or discontinues delivery of the HBP pulses to promote intrinsic ventricular conduction and activation.

Systems and methods for identifying potential ablation sites using electrical parameter data are provided. A method includes geometrically isolating an arrhythmogenic substrate in a three-dimensional geometry. The method further includes generating a first cumulative map from a first dataset including electrical parameter data for each vertex in the isolated arrhythmogenic substrate, and generating a second cumulative map from a second dataset including additional data for each vertex. The method further includes generating a third cumulative map from the first and second cumulative maps, and displaying the third cumulative map on the three-dimensional geometry to facilitate identifying potential ablation sites.

Systems and methods for identifying potential ablation sites using electrical parameter data are provided. A method includes geometrically isolating an arrhythmogenic substrate in a three-dimensional geometry. The method further includes generating a first cumulative map from a first dataset including electrical parameter data for each vertex in the isolated arrhythmogenic substrate, and generating a second cumulative map from a second dataset including additional data for each vertex. The method further includes generating a third cumulative map from the first and second cumulative maps, and displaying the third cumulative map on the three-dimensional geometry to facilitate identifying potential ablation sites.

A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including a biophysical simulator (126) and an electrocardiogram signal analyzer (128). The computing system further includes a processor (120) configured to execute the electrocardiogram signal analyzer determine myocardial infarction characteristics from an input electrocardiogram and to execute the biophysical simulator to simulate a fractional flow reserve or an instant wave-free ratio index from input cardiac image data and the determined myocardial infarction characteristics.

A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including a biophysical simulator (126) and an electrocardiogram signal analyzer (128). The computing system further includes a processor (120) configured to execute the electrocardiogram signal analyzer determine myocardial infarction characteristics from an input electrocardiogram and to execute the biophysical simulator to simulate a fractional flow reserve or an instant wave-free ratio index from input cardiac image data and the determined myocardial infarction characteristics.

The present specification discloses systems and methods of patient monitoring in which multiple sensors are used to detect physiological parameters and the data from those sensors are correlated to determine if an alarm should, or should not, be issued, thereby resulting in more precise alarms and fewer false alarms. Electrocardiogram readings can be combined with invasive blood pressure, non-invasive blood pressure, and/or pulse oximetry measurements to provide a more accurate picture of pulse activity and patient respiration. In addition, the monitoring system can also use an accelerometer or heart valve auscultation to further improve accuracy.

The present specification discloses systems and methods of patient monitoring in which multiple sensors are used to detect physiological parameters and the data from those sensors are correlated to determine if an alarm should, or should not, be issued, thereby resulting in more precise alarms and fewer false alarms. Electrocardiogram readings can be combined with invasive blood pressure, non-invasive blood pressure, and/or pulse oximetry measurements to provide a more accurate picture of pulse activity and patient respiration. In addition, the monitoring system can also use an accelerometer or heart valve auscultation to further improve accuracy.

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.

A computer implemented method for determining heart arrhythmias based on cardiac activity that includes under control of one or more processors of an implantable medical device (IMD) configured with specific executable instructions to obtain far field cardiac activity (CA) signals at electrodes located remote from the heart, and obtain acceleration signatures, at an accelerometer of the IMD, indicative of heart sounds generated during the cardiac beats. The IMD is also configured with specific executable instructions to declare a candidate arrhythmia based on a characteristic of at least one R-R interval from the cardiac beats, and evaluate the acceleration signatures for ventricular events (VEs) to re-assess a presence or absence of at least one R-wave from the cardiac beats and based thereon confirming or denying the candidate arrhythmia.