The present invention relates to a method for correcting pulse wave transit time associated with diastolic blood pressure and systolic blood pressure, and the correction method can perform adaptive correction of the irregular change of pulse wave transit time caused by blood transfusion and intravenous transfusion, vasoactive drugs, surgical intervention, etc. in a clinical setting. A pulse wave transit time is determined by a time difference of an ear pulse wave and a toe pulse wave in the same cardiac cycle, and a few correction variables are extracted based on the pulse wave features, then a total correction value is acquired to perform correction on the irregular change of pulse wave transit time. The corrected transit time can be used with available mathematical models for continuously measuring diastolic blood pressure and systolic blood pressure in each cardiac cycle in a clinical setting with high accuracy.

Disclosed herein are in vivo non-invasive methods and devices for the measurement of the hemodynamic parameters and aortic valve conformance and compliance in a subject. The method requires measuring the peripheral pulse volume waveform (PVW), the peripheral pulse pressure waveform (PPW), and the peripheral pulse velocity waveform (PUW) from the same artery using a non-invasive device. The waveforms PPW and PUW are used to calculate the waveform dPdU which is used to determine aortic valve ejection volume, closure volume, and quality factor, as well as stroke volume and cardiac output. The disclosed methods and devices are useful in the diagnosis and treatment of aortic valve disease, disorders, and dysfunction.

Disclosed herein are in vivo non-invasive methods and devices for the measurement of the hemodynamic parameters and aortic valve conformance and compliance in a subject. The method requires measuring the peripheral pulse volume waveform (PVW), the peripheral pulse pressure waveform (PPW), and the peripheral pulse velocity waveform (PUW) from the same artery using a non-invasive device. The waveforms PPW and PUW are used to calculate the waveform dPdU which is used to determine aortic valve ejection volume, closure volume, and quality factor, as well as stroke volume and cardiac output. The disclosed methods and devices are useful in the diagnosis and treatment of aortic valve disease, disorders, and dysfunction.

A wireless intraluminal device (102) and an associated system for treating and diagnosing patients are provided. In one embodiment, the wireless intraluminal device (102) includes a flexible elongate member (158) including a proximal portion (106) and a distal portion (108); a sensor assembly (116) coupled to the distal portion of the flexible elongate member; a cable (117) coupled to the sensor assembly and extending along the flexible elongate member; and a wireless transceiver (252) positioned within the flexible elongate member, wherein the wireless transceiver is in communication with the sensor assembly via the cable. A wireless communication component (104) wirelessly transmits a sensor measurement collected by the sensor assembly to a sensor measurement processing system (132) via a wireless link (150) for physiological data generation at the sensor measurement processing system.

A wireless intraluminal device (102) and an associated system for treating and diagnosing patients are provided. In one embodiment, the wireless intraluminal device (102) includes a flexible elongate member (158) including a proximal portion (106) and a distal portion (108); a sensor assembly (116) coupled to the distal portion of the flexible elongate member; a cable (117) coupled to the sensor assembly and extending along the flexible elongate member; and a wireless transceiver (252) positioned within the flexible elongate member, wherein the wireless transceiver is in communication with the sensor assembly via the cable. A wireless communication component (104) wirelessly transmits a sensor measurement collected by the sensor assembly to a sensor measurement processing system (132) via a wireless link (150) for physiological data generation at the sensor measurement processing system.

A method for estimating a measure of cardiovascular health of a subject comprises: receiving (106) time-based sequences of at least a first and a second artery signal, each representative of pressure pulse wave propagation in an artery and representing pressure pulse wave propagation in positions displaced in relation to each other in the artery; fitting (110) a first and a second waveform to a portion of the time-based sequences to form a first and a second waveform of the first artery signal and a first and a second waveform of the second artery signal, wherein the first waveforms represent a forward propagating wave and the second waveforms represent a backward propagating wave; and determining (112) at least one parameter based on the fitting, wherein the at least one parameter comprises a forward velocity of the pressure pulse wave propagation as a representation of local pulse wave velocity in the artery.

A method for estimating a measure of cardiovascular health of a subject comprises: receiving (106) time-based sequences of at least a first and a second artery signal, each representative of pressure pulse wave propagation in an artery and representing pressure pulse wave propagation in positions displaced in relation to each other in the artery; fitting (110) a first and a second waveform to a portion of the time-based sequences to form a first and a second waveform of the first artery signal and a first and a second waveform of the second artery signal, wherein the first waveforms represent a forward propagating wave and the second waveforms represent a backward propagating wave; and determining (112) at least one parameter based on the fitting, wherein the at least one parameter comprises a forward velocity of the pressure pulse wave propagation as a representation of local pulse wave velocity in the artery.

The present invention provides a non-invasive portable device and method for diagnosing an occlusion in coronary arteries of a patient. The diagnostic system includes a signal processor configured to receive signals from a group of acoustic sensors attached to the torso of a patient. The diagnostic device is configured with a processor to receive and generate an output on a display using a high end algorithm.

Provided herein are methods for in-vivo assessment of intraventricular flow shear stress, risk of hemolysis, also the location and extent of blood flow stasis regions and inside a cardiac chamber or blood vessel. Also provided herein are systems for performing such methods. Also provided herein are methods for assessing hemolysis and/or thrombosis risk in patients implanted with an LVAD. LVAD positioning and/or speed may be adjusted based on the results obtained by using methods described herein, and the risk for hemolysis and/or thrombosis can be minimized.

Provided herein are methods for in-vivo assessment of intraventricular flow shear stress, risk of hemolysis, also the location and extent of blood flow stasis regions and inside a cardiac chamber or blood vessel. Also provided herein are systems for performing such methods. Also provided herein are methods for assessing hemolysis and/or thrombosis risk in patients implanted with an LVAD. LVAD positioning and/or speed may be adjusted based on the results obtained by using methods described herein, and the risk for hemolysis and/or thrombosis can be minimized.