Aspects of the invention relates to systems and methods for detecting volume status, volume overload, dehydration, hemorrhage and real time assessment of resuscitation, as well as organ failure including but not limited cardiac, renal, and hepatic dysfunction, of a living subject using non-invasive vascular analysis (NIVA). In one embodiment, a non-invasive device, which includes at least one sensor, is used to acquire vascular signals from the living subject in real time. The vascular signals are sent to a controller, which processes the vascular signals to determine at least one hemodynamic parameter, such as the volume status of the living subject. In certain embodiments, the vascular signals are processed by a spectral fast Fourier transform (FFT) analysis to obtain the peripheral vascular signal frequency spectrum, and the volume status of the living subject may be determined by comparing amplitudes of the peaks of the peripheral vascular signal frequency spectrum.

A non-contact blood vessel analyzer includes an image acquisition device and an image processing device. The image acquisition device acquires an image which is a moving image or successive still images of a blood vessel. The image processing device detects a beat and a thrill from temporal change of an index derived from brightness and/or chromaticity of the image.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for real-time determination of the status of autonomous operation features of an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, the operation of the autonomous or semi-autonomous vehicle may be monitored to obtain operating data from one or more autonomous operation features. An operating status of the autonomous features may be determined based upon the operating data. After which, a change in the operating status of the autonomous features may be identified, and a report containing information regarding the change in the operating status of the autonomous features may be generated. Insurance discounts may be provided to risk averse customers that maintain their autonomous vehicles, and associated accident avoidance functionality, in good working condition.

Prosthetic heart devices may be implanted into the heart with a sensor coupled to the device, the sensor being configured to measure physiological data, such as blood pressure, in the heart. Devices that may employ such sensors include prosthetic heart valves and occlusion devices, although sensor systems may be deployed in the heart separate from other implantable devices. The sensors may include a body with different configurations for attaching to the implantable device, such as apertures for sutures or fingers for connecting to structures of the implantable device. The sensors may provide data that allow a determination of aortic regurgitation or other information indicative of function of the implantable device and patient health during and after implantation of the device.

A system to measure intracardiac impedance includes implantable electrodes and a medical device. The electrodes sense electrical signals of a heart of a subject. The medical device includes a cardiac signal sensing circuit coupled to the implantable electrodes, an impedance measurement circuit coupled to the same or different implantable electrodes, and a controller circuit coupled to the cardiac signal sensing circuit and the impedance measurement circuit. The cardiac signal sensing circuit provides a sensed cardiac signal. The impedance measurement circuit senses intracardiac impedance between the electrodes to obtain an intracardiac impedance signal. The controller circuit determines cardiac cycles of the subject using the sensed cardiac signal, and detects tachyarrhythmia using cardiac-cycle to cardiac-cycle changes in a plurality of intracardiac impedance parameters obtained from the intracardiac impedance signal.

There is provided a method for use in monitoring a physiological characteristic of a subject, the method comprising: obtaining a general variability measure of the physiological characteristic, wherein the general variability measure is based on a historical data set of values of the physiological characteristic from a plurality of further subjects; calculating a personalization factor specific to the subject, based on physiological data relating to the subject; generating at least one personalized abnormality criterion for the physiological characteristic, based on the obtained general variability measure and the calculated personalization factor; receiving a measured value of the physiological characteristic of the subject; and determining whether the received measured value is abnormal by comparing it to the at least one personalized abnormality criterion, wherein the received measured value is determined to be abnormal if it meets the at least one personalized abnormality criterion.

Implementations described and claimed herein provide systems and methods for managing one or more patients. In one implementation, an imaging window is determined based on a location of a probe. A primary image cross-section for the imaging window is identified for the imaging window. At least one image is generated along the primary image cross-section using patient data captured using the probe. The at least one image is compared to an expected image contour scaffold of the primary image cross-section. The probe is commanded to fine-tune an imaging plane based on the comparison until the at least one image matches the expected image contour scaffold of the primary image cross-section.

Embodiments include systems and methods for determining cardiovascular information for a patient. A method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of the patient's vasculature based on the patient-specific data; and creating a computational model of a blood flow characteristic based on the anatomic model. The method also includes identifying one or more of an uncertain parameter, an uncertain clinical variable, and an uncertain geometry; modifying a probability model based on one or more of the identified uncertain parameter, uncertain clinical variable, or uncertain geometry; determining a blood flow characteristic within the patient's vasculature based on the anatomic model and the computational model of the blood flow characteristic of the patient's vasculature; and calculating, based on the probability model and the determined blood flow characteristic, a sensitivity of the determined fractional flow reserve to one or more of the identified uncertain parameter, uncertain clinical variable, or uncertain geometry.

Method of operating a non-invasive blood pressure, NIBP, monitor to measure the blood pressure of a subject, the NIBP monitor comprising a cuff, a pressure sensor for measuring the pressure in the cuff and for outputting a pressure signal representing the pressure in the cuff and a physiological parameter sensor, the method comprising obtaining a first measurement of pulse rate or heart rate for the subject during inflation of the cuff, the first measurement being obtained from the pressure signal; obtaining a second measurement of the pulse rate or heart rate for the subject during inflation of the cuff, the second measurement being obtained from the physiological parameter sensor; comparing the first measurement and the second measurement; and estimating the reliability of a blood pressure measurement obtained by the NIBP monitor during inflation of the cuff based on the result of the step of comparing.

Medical devices and methods for making and using medical devices are disclosed. An example medical device may include a medical device for measuring blood pressure. The medical device may include an elongated shaft having a proximal region and a distal region. An optical fiber may extend along the proximal region. The optical fiber may be secured to an inner surface of the shaft. An optical pressure sensor may be coupled to the optical fiber. The optical pressure sensor may be disposed along the distal region. A sealing member may be attached to the optical fiber and may have a surface engaged with the inner surface of the shaft.