The present invention relates to systems and methods to measure, compute, and predict blood pressure. More specifically, the invention generally relates to systems, methods, and process for predicting blood pressure from respiratory, circulatory, acoustic, hemodynamic, movement and blood flow characteristics and metrics.

A process and signal processing unit (5) determine a cardiogenic signal (Sig.sub.kar,est) or a respiratory signal (Sig.sub.res,est) from a sum signal (Sig.sub.Sum), resulting from a superimposition of cardiac activity and breathing of a patient (P). A signal estimating unit (6), which yields a shape parameter as a value of a transmission channel parameter (LF), is generated during a training phase. A sample with a sample element per heartbeat is used. During a use phase, the transmission channel parameter is measured for each heartbeat, a shape parameter value is calculated by the application of the signal estimating unit and is used to calculate an estimated cardiogenic signal segment (Sig.sub.Hz,kar.LF) or an estimated respiratory signal segment. The cardiogenic signal segments are combined into the cardiogenic signal or the respiratory signal segments are combined into the respiratory signal or the cardiogenic signal segments are subtracted from the sum signal.

This application provides a method and apparatus of analyzing the ECG frequency parameters with applications for the diagnosis of ST-segment elevation myocardial infarction (STEMI) diseases, which relates to the interdisciplinary field of biomedical and science engineering. The method includes obtaining ECG signals from subjects through the designed electrodes; calculating ECG frequency domain parameters of the subjects based on the proposed power spectrum model and getting the analytical validation results after studying and verifying the parameters; generating indicators based on the analytical validation results, which could be potentially used as alternative indicators for STEMI diagnosis; and alerting when the indicators meet preset abnormal conditions. The present embodiment is a powerful tool to diagnose STEMI diseases faster and more effectively and helps patients receive timely assistance and treatment.

[Subject] Non-invasive method for estimating blood pressure without a cuff and a device for the blood pressure estimation [Resolution means] Systolic blood pressure (EBP) is estimated according to EBP=β.sub.1.Math.P1+β.sub.2.Math.P2+β.sub.0 (β.sub.1, β.sub.2, and β.sub.0 are coefficients) where parameter P1, which is related to pulse transit time (PTT), and parameter P2, which is related to stroke volume based on pulse waves, are variables.

Systems and methods for detecting anatomical structures include, for each training subject of a plurality of training subjects, a corresponding MR image, and generating an initial anatomical template based on a first training subject of the plurality of training subjects. A computing device can map MR images of the other training subjects onto a template space by applying a global transformation followed by a local transformation. The computing device can average the mapped MR images with the initial anatomical template to generate a final anatomical template and boundaries of an anatomical structure of interest can be drawn in the final anatomical template. The computing device can fine tune the boundaries using an edge detection algorithm. The final anatomical template can be used to identify boundaries of the anatomical structure(s) of interest automatically (e g., without human intervention) in non-training subjects.

A method and a system for determining an in vivo transit distance and a corresponding transit time for an arterial pulse. An example system comprises a radar receiver connected to a processor to perform time-resolved measurements of reflections of wave pulses and to spectrally filter the reflections to select spectral components associated with the arterial pulse. The resulting signal samples are then organized into groups corresponding to different wave pulses, and the groups are processed to identify samples corresponding to a first arterial pulse point and a second arterial pulse point on the body of a subject, and the identified samples are further processed to determine the in vivo transit distance and the corresponding transit time for the arterial pulse. In some embodiments, a collection of arterial pulse points detected by the measurements may be mapped onto a reference constellation for a more-accurate determination of the in vivo transit distance.

Systems and methods are provided to monitor vital signs from a plurality of subjects simultaneously and in real-time. The systems and methods can utilize visible video signal or infrared (IR) video signals, or both, defining respective sequences of frames representative of a scene including the plurality of subjects. The systems and methods can analyze digital images corresponding to respective frames in a sequence of frames to generate a time series of image values. In an aspect, the systems and methods can analyze the time series to identify a characteristic frequency representing a value of a vital signal that is oscillatory in nature.

A headset and methods for using the headset to collect EEG data, PPG data and IMU data are disclosed. Raw EEG data generated from the headset (or other device) may be received. The EEG data may be run through spectral analysis to isolate various spectral components in each channel, isolating the brain wave components for each channel. Similar data for heart rate, respiratory rate and heart rate variability can be extrapolated from PPG data as well as the positional movements in space along with acceleration and angular velocity may be determined from IMU data. A visual display may be generated based on the isolated components.

In some embodiments, a body cavity shape of a subject is reconstructed based on intrabody measurements of at least one property of an electromagnetic field by an intrabody probe (for example, a catheter probe) moving within a plurality of electrical fields intersecting the body cavity. In some embodiments, the electrical fields are generated at least in part from electrodes positioned in close proximity, for example, within 1 cm, of the body cavity. In some embodiments, the body cavity is a chamber of a heart (for example, a left atrium or left ventricle), and the electrodes used to generate the electrical field are positioned in the coronary sinus, a large vein occupying the groove between the left atrium and left ventricle. In some embodiments, known distances between measuring electrodes are used in guiding reconstruction, potentially overcoming difficulties of reconstruction from measurements of non-linear electrical fields.

Systems and methods of tracking the position of an endoscope within a patient's body during an endoscopic procedure is disclosed. The devices and methods include determining a position of the endoscope within the patient in the endoscope's coordinate system, capturing in an image fiducial markers attached to the endoscope by an external optical tracker, transforming the captured fiducial markers from the endoscope's coordinate system to the optical tracker's coordinate system, projecting a virtual image of the endoscope on a model of the patient's organ, and projecting or displaying the combined image.