A noninvasive method for monitoring the blood pressure and arterial compliance of a patient based on measurements of a flow velocity and a pulse wave velocity is described. An embodiment uses a photoplethysmograph and includes a method to monitor the dynamic behavior of the arterial blood flow, coupled with a hemodynamic mathematical model of the arterial blood flow motion in a fully nonlinear vessel. A derived mathematical model creates the patient specific dependence of a blood pressure versus PWV and blood velocity, which allows continuous monitoring of arterial blood pressure.

A noninvasive method for monitoring the blood pressure and arterial compliance of a patient based on measurements of a flow velocity and a pulse wave velocity is described. An embodiment uses a photoplethysmograph and includes a method to monitor the dynamic behavior of the arterial blood flow, coupled with a hemodynamic mathematical model of the arterial blood flow motion in a fully nonlinear vessel. A derived mathematical model creates the patient specific dependence of a blood pressure versus PWV and blood velocity, which allows continuous monitoring of arterial blood pressure.

Machine-learned computational models can be trained to estimate echocardiogram parameters (as conventionally measured by echocardiography) from electrocardiograms and/or electrocardiogram-derived time-domain and/or time-frequency features. In some embodiments, a multi-level model architecture includes a level to derive the echocardiogram parameter estimate(s), with input features to that level being computed in a preceding level, and/or with one or more echocardiogram parameter estimate(s) flowing into a subsequent layer to compute downstream qualitative or quantitative indicators of heart function.

Machine-learned computational models can be trained to estimate echocardiogram parameters (as conventionally measured by echocardiography) from electrocardiograms and/or electrocardiogram-derived time-domain and/or time-frequency features. In some embodiments, a multi-level model architecture includes a level to derive the echocardiogram parameter estimate(s), with input features to that level being computed in a preceding level, and/or with one or more echocardiogram parameter estimate(s) flowing into a subsequent layer to compute downstream qualitative or quantitative indicators of heart function.

A heart rate detection apparatus includes a signal acquisition device for acquiring an intra-aural vibration wave signal and converting the intra-aural vibration wave signal into an intra-aural vibration electrical signal; and an arithmetic processing device for processing the intra-aural vibration electrical signal by computing to generate heart rate information. In the prior art, the heart rate detection apparatus cannot accurately and reliably detect the heart rate information due to the weak optical signal detected by a sensor. The heart rate detection apparatus acquires the intra-aural vibration wave signal to obtain the heart rate information, thus enabling the apparatus to accurately and reliably detect heart rate information.

In accordance with embodiments of the present disclosure, a user-platform apparatus, such as a bodyweight sensing scale, includes a heart/cardiogram sensor which is used to detect heart and vascular characteristics of a user, and provide a cardiogram output indicative of the detected cardiovascular characteristics. The cardiogram output can be used for various purposes, such as detecting arterial stiffness and/or aging.

In accordance with embodiments of the present disclosure, a user-platform apparatus, such as a bodyweight sensing scale, includes a heart/cardiogram sensor which is used to detect heart and vascular characteristics of a user, and provide a cardiogram output indicative of the detected cardiovascular characteristics. The cardiogram output can be used for various purposes, such as detecting arterial stiffness and/or aging.

Light-based non-invasive blood pressure measurement systems and methods that include a sensor having a light emitter and a light detector are disclosed. The light emitter emitting coherent or non-coherent light that is transmitted into and reflected from the tissues of the patient, including reflecting from moving blood. The light reflected from the moving blood being having a Doppler shift and detected by the light detector to generate a noninvasive blood pressure signal. The non-invasive blood pressure signal is processed to determine the instantaneous velocity of the blood. Additionally, pulse wave velocity data is obtained nearly, or substantially, simultaneously with the acquisition of the non-invasive blood pressure signal. Using the pulse wave velocity, the instantaneous velocity of the blood and a density of the blood, an instantaneous blood pressure can be determined.

Light-based non-invasive blood pressure measurement systems and methods that include a sensor having a light emitter and a light detector are disclosed. The light emitter emitting coherent or non-coherent light that is transmitted into and reflected from the tissues of the patient, including reflecting from moving blood. The light reflected from the moving blood being having a Doppler shift and detected by the light detector to generate a noninvasive blood pressure signal. The non-invasive blood pressure signal is processed to determine the instantaneous velocity of the blood. Additionally, pulse wave velocity data is obtained nearly, or substantially, simultaneously with the acquisition of the non-invasive blood pressure signal. Using the pulse wave velocity, the instantaneous velocity of the blood and a density of the blood, an instantaneous blood pressure can be determined.

The present disclosure provides methods and systems for flight velocimetry employing at least one bleaching laser, at least one detection laser, at least one dichroic mirror, an objective, a detection system, and a nano stage to bleach a dye to form a bleached blot in a flow pathway.