Abstract: A system for heart performance characterization and abnormality detection detects peaks and at least one of, a valley and a baseline comprising a substantially zero voltage level, of received signal data representing oxygen content of blood in a patient vessel over multiple heart beat cycles. The signal processor determines signal parameters including at least one of, (a) a signal amplitude magnitude between a maximum peak and minimum valley, of the received signal data, (b) a signal amplitude magnitude between a maximum peak and a baseline, of the received signal data and (c) a signal amplitude magnitude between a second highest maximum peak and minimum valley, of the received signal data. The system compares a determined signal parameter or value derived from the determined signal parameter, with a threshold value and generates an alert message associated with the threshold, in response to the comparison.

Abstract: A system determines electrical status of patient attached leads in medical patient monitoring. The system includes a repository of data indicating multiple predetermined impedance value ranges and corresponding associated lead status information of at least one electrical lead attached to a patient for conducting electrical signals for use in patient monitoring. An impedance measurement processor automatically successively determines whether an impedance value of a particular patient attached lead of multiple electrical leads attached to a patient is within a particular impedance value range of multiple predetermined impedance value ranges. An output processor automatically communicates data comprising a message identifying an electrical status of a particular lead of the multiple electrical leads by deriving status information from the repository in response to a determination the impedance value of the particular patient attached lead is within the particular impedance value range.

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 generates a signature cycle matrix corresponding to a single cycle of the patient signal data by segmenting the patient signal data into multiple portions. The signature cycle matrix may further be segmented into sub-matrices corresponding to different levels. Properties of the sub-matrices may then be determined to generate diagnostic results.

Abstract: A system provides an image acquisition trigger signal compensated for signal processing time delay. An interface receives waveform signal data representing electrical activity of a patient heart over at least one heart beat cycle. A detector detects a particular point associated with a particular signal portion within successive heart beat cycles of the signal data. A first time variation detector provides a first timing adjustment signal in response to detected change in time of occurrence of the detected particular point. A second time variation detector provides a second timing adjustment signal in response to comparison of relative timing of the trigger signal and the detected particular point. An output processor generates the trigger signal in response to the detected particular point and the first timing adjustment signal and the second timing adjustment signal.

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 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. 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: Disclosed herein is a framework for facilitating biological tissue function analysis. In accordance with one aspect, saturation of hemoglobin with oxygen (SPO2) signal data is synchronized with respiration signal data. One or more waveform parameters may be generated based on the synchronized SPO2 signal data and the respiration signal data. One or more respiration-SPO2 parameters may then be determined based on the one or more waveform parameters and used to characterize the biological tissue function.

Abstract: A system and method includes a matrix of elements, each of the elements comprising a respective radiation-attenuating material providing a respective radiation attenuation profile over a respective area of the matrix, and wherein at least one of the elements is independently-controllable to change its respective radiation attenuation profile over its respective area.

Abstract: Disclosed herein is a framework for facilitating patient signal filtering. In accordance with one aspect, the framework performs a signature cycle matching pursuit method to remove a first signal component from a combination patient signal and generate a first output signal. Sub-bandwidth filtering of the first output signal may be performed to remove a second signal component and generate a second output signal. The framework may further remove a third signal component from the second output signal to generate a third output signal. A signal of interest may then be reconstructed based on the third output signal.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, the framework generates a signature cycle matrix corresponding to a single cycle of the patient signal data by segmenting the patient signal data into multiple portions. The signature cycle matrix may further be segmented into sub-matrices corresponding to different levels. Properties of the sub-matrices may then be determined to generate diagnostic results.

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 method determines cardiac output or stroke volume by receiving signal data representing multiple parameters of a patient concurrently acquired over a particular time period and comprising at least one of, (a) a parameter derived from an ECG waveform of the patient, (b) a parameter derived from a blood pressure signal of the patient, (c) a parameter derived from signal data representing oxygen content of blood of the patient and (d) a parameter derived from a patient cardiac impedance value. A selected parameter of the multiple concurrently acquired parameters is used in calculating a heart stroke volume of the patient comprising volume of blood transferred through the blood vessel in a heart cycle, in response to, a combination of a weighted summation of values of the selected parameter over the particular time period. Data representing the calculated heart stroke volume is provided to a destination device.

Abstract: A system provides cardiac arrhythmia detection and performs blood pressure analysis of multiple catheter channels of blood pressure signals to characterize heart hemodynamic activity. A system for heart performance characterization and abnormality detection includes a repository, data processor and output processor. The repository of data comprises, first distribution data representing a probability distribution of a first patient parameter over a first time period and acquired on a first occasion and second distribution data representing a probability distribution of the first patient parameter over a second time period and acquired on a second occasion subsequent to the first occasion. The data processor calculates an overlap indicator indicating degree of overlap of the first distribution data and the second distribution data in a predetermined interval of the distributions. The output processor provides the calculated overlap indicator to a destination device.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, actiniform segmentation is performed on patient signal data waveform based on an actiniform shape. The actiniform shape is centered at a peak of the waveform and includes connection lines extending from the peak to key time points of the patient signal data waveform. Actiniform parameters may be extracted from the segmented patient signal data waveform. Additionally, one or more actiniform ratios may be determined based on the actiniform parameters to monitor changes in the patient signal data waveform.

Abstract: A system provides heart ablation unit control. The system includes an input processor for acquiring electrophysiological signal data from multiple tissue locations of a heart and data indicating tissue thickness at the multiple tissue locations. A signal processor processes the acquired electrophysiological signal data to identify location of particular tissue sites of the multiple tissue locations exhibiting electrical abnormality in the acquired electrophysiological signal data and determines an area of abnormal tissue associated with individual sites of the particular sites. An ablation controller automatically determines ablation pulse characteristics for use in ablating cardiac tissue at an individual site of the particular tissue sites in response to the acquired data indicating the thickness of tissue and determined area of abnormality of the individual site.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, patient signal data including at least one identified cycle is segmented into at least two regions of interest, including a late potential region of interest. The late potential region of interest may be an RS, RT, S-full or T-full signal portion. At least one patient signal parameter is determined based at least in part on the segmented regions of interest. A pathology or event may be detected based on the determined patient signal parameter.

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: Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, actiniform segmentation is performed on patient signal data waveform based on an actiniform shape. The actiniform shape is centered at a peak of the waveform and includes connection lines extending from the peak to key time points of the patient signal data waveform. Actiniform parameters may be extracted from the segmented patient signal data waveform. Additionally, one or more actiniform ratios may be determined based on the actiniform parameters to monitor changes in the patient signal data waveform.