Abstract: The present invention discloses a method for synchronized ventilation using an external diaphragm pacemaker and a ventilator, which includes the following steps: (1) filtrating captured EAdi signal to reduce the noises, (2) assessing the absolute peak value a of the EAdi signal and: if a<0.5 ?V, adjust the external diaphragm pacemaker to issue a stimulus current at a frequency of 10-12 beats per minute, and at the same time trigger the ventilator to perform ventilation in an assisted ventilation mode; if 0.5?a?1.0 ?V, adjust the external diaphragm pacemaker to issue a stimulus current at a frequency of 5-8 beats per minute, and at the same time trigger the ventilator to perform ventilation in an assisted ventilation mode; if 1.0<a?2.0 ?V, adjust the external diaphragm pacemaker to issue a stimulus current at a frequency of 3-4 beats per minute and at the same time trigger the ventilator to perform ventilation in an assisted ventilation mode.

Abstract: A system and method includes reception of a first image of a blood vessel, reception of a second image of the blood vessel, determination of a first size of a region of the blood vessel based on the first image, determination of a second size of the region of the blood vessel based on the second image, and calculation of a parameter of the blood vessel based on the first size and the second size.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, the framework performs affine template matching of a region of interest from patient signal data with a baseline signal portion by performing an affine waveform transformation of the region of interest. One or more affine ratios may be determined based on the matched region of interest and the baseline signal portion for generating a report or diagnosis of a cardiac event.

Abstract: A patient treatment monitoring system includes an interface for receiving multiple different types of patient medical information including data derived from a patient monitoring device and a patient medical imaging device. A data processor processes the received multiple different types of patient medical information to be suitable for presentation in a display image. A display processor initiates generation of data representing a single composite display image including an image element representing multiple sequentially performed individual stages of a treatment process. The individual stages are associated with corresponding different sets of the received multiple different types of patient medical information. The single composite display image includes multiple image areas for displaying one of the corresponding different sets of the received multiple different types of patient medical information, in response to user selection of a particular stage of the individual stages using the image element.

Abstract: Disclosed herein is a framework for facilitating thermal patient signal analysis. In accordance with one aspect, the framework receives patient signal data including thermal signal data. The framework then segments a waveform of the thermal signal data into portions and extracts thermal parameters based on the segmented portions. The framework then determines one or more thermal indices based at least in part on the thermal parameters and generates a report that presents cardiac event detection results determined based at least in part on the one or more thermal indices.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, the framework receives signal data including mechanical signal data, wherein the mechanical signal data is generated in response to mechanical contraction of blood vessels. A region of interest is segmented from the mechanical signal data. One or more mechanical signal ratios may be determined based on parameters extracted from the segmented region of interest to characterize waveform changes. A report may then be generated based at least in part on the one or more mechanical signal ratios.

Abstract: Disclosed herein is a framework for facilitating adaptive control of monitoring devices. In accordance with one aspect, a position detector detects a chest elevation level and provides chest elevation level data. A processor uses the chest elevation level data to determine a heart elevation level with respect to a reference level. A comparator compares the determined heart elevation level with an elevation level of a monitoring device with respect to the reference level. In response to the comparison, a movement system adjusts the elevation level of the monitoring device.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, first and second patient signal data are received from a patient monitor. The first and second patient signal data may then be segmented into respective first and second regions of interest, from which respective first and second waveform parameters may be extracted. One or more morphology indices may then be generated based on the first and second waveform parameters to compare shapes of the first and second regions of interest.

Abstract: Disclosed herein is a framework for facilitating thermal patient signal analysis. In accordance with one aspect, the framework receives patient signal data including thermal signal data. The framework then segments a region of interest from the thermal signal data. One or more cardiac output indices may be determined based on one or more parameters extracted from the segmented region of interest to characterize cardiac output or stroke volume. A report may then be generated based at least in part on the one or more cardiac output indices.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis based on vector analysis. In accordance with one aspect, a set of vectors is generated from a patient signal data waveform. The vectors may be directed from a common center to points of interest on the patient signal data waveform. The framework may further extract one or more vector parameters from the set of vectors, and determine one or more vector ratios based on the vector parameters to monitor changes in the patient signal data waveform.

Abstract: A system for heart performance characterization and abnormality detection includes an interface for receiving digitized electrical signals representing blood pressure waveforms over one or more heart beat cycles. The digitized electrical signals comprise, a first digital data sequence representing normal blood pressure of a patient, a second digital data sequence representing random blood pressure of a normal patient and a third digital data sequence representing a potentially abnormal blood pressure of a patient. A complexity processor calculates first, second and third complexity indices for the corresponding first, second and third digital data sequences respectively. A correlation processor uses the calculated first, second and third complexity indices to calculate one or more measures indicating deviation of the potentially abnormal blood pressure of the patient from a normal value.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis based on vector analysis. In accordance with one aspect, a set of vectors is generated from a patient signal data waveform. The vectors may be directed from a common center to points of interest on the patient signal data waveform. The framework may further extract one or more vector parameters from the set of vectors, and determine one or more vector ratios based on the vector parameters to monitor changes in the patient signal data waveform.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis based on vector analysis. In accordance with one aspect, a set of vectors is generated from a patient signal data waveform. The vectors may be directed from a common center to points of interest on the patient signal data waveform. The framework may further extract one or more vector parameters from the set of vectors, and determine one or more vector ratios based on the vector parameters to monitor changes in the patient signal data waveform.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis based on vector analysis. In accordance with one aspect, a set of vectors is generated from a patient signal data waveform. The vectors may be directed from a common center to points of interest on the patient signal data waveform. The framework may further extract one or more vector parameters from the set of vectors, and determine one or more vector ratios based on the vector parameters to monitor changes in the patient signal data waveform.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, first and second patient signal data are received from a patient monitor. The first and second patient signal data may then be segmented into respective first and second regions of interest, from which respective first and second waveform parameters may be extracted. One or more morphology indices may then be generated based on the first and second waveform parameters to compare shapes of the first and second regions of interest.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, first and second patient signal data are received from a patient monitor. The first and second patient signal data may then be segmented into respective first and second regions of interest, from which respective first and second waveform parameters may be extracted. One or more morphology indices may then be generated based on the first and second waveform parameters to compare shapes of the first and second regions of interest.

Abstract: A system determines measured patient values for use in clinical calculations using an electronic form including, a first area including data fields for presenting values of the parameters associated with a first part of a cardiac catheterization study of a patient and a second area including data fields for presenting values of the parameters associated with a different second part of a cardiac catheterization study of the patient. A user interface enables a user to copy at least one of the parameters comprising a measured value from the first area to the second area as a substitute value eliminating a need for a re-measurement of the value. A calculation processor automatically calculates a cardiac flow value for incorporation in the second area in response to the measured value being copied into the second area.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis based on vector analysis. In accordance with one aspect, a set of vectors is generated from a patient signal data waveform. The vectors may be directed from a common center to points of interest on the patient signal data waveform. The framework may further extract one or more vector parameters from the set of vectors, and determine one or more vector ratios based on the vector parameters to monitor changes in the patient signal data waveform.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis based on vector analysis. In accordance with one aspect, a set of vectors is generated from a patient signal data waveform. The vectors may be directed from a common center to points of interest on the patient signal data waveform. The framework may further extract one or more vector parameters from the set of vectors, and determine one or more vector ratios based on the vector parameters to monitor changes in the patient signal data waveform.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis based on vector analysis. In accordance with one aspect, a set of vectors is generated from a patient signal data waveform. The vectors may be directed from a common center to points of interest on the patient signal data waveform. The framework may further extract one or more vector parameters from the set of vectors, and determine one or more vector ratios based on the vector parameters to monitor changes in the patient signal data waveform.