Abstract:
This document describes optical central venous pressure measurement. To determine the central venous pressure (CVP) of a person optically, video of a right side of the person's neck is captured. By way of example, a medical professional records a video of the right side of the person's neck using a smartphone. The right side of the person's neck is captured because it is where the person's external and internal jugular veins are located and pulsatile motions that are usable to measure CVP occur in those veins. The video is then processed according to video motion amplification techniques to generate a reconstructed video of the right side of the person's neck. In the reconstructed video, the pulsatile motion of the person's venous system that occurs at the right side of their neck is visually amplified. Using the reconstructed video, measurements are made of a distance between a peak of the visually-amplified pulsatile motion and an anatomical feature of the person. The measured distance between the peak of the visually-amplified pulsatile motion and the anatomical feature is used to determine CVP of the person. These techniques enable CVP to be determined without relying on estimates made by medical professionals.
Abstract:
This document describes assessing cardiovascular function using an optical sensor, such as through sensing relevant hemodynamics understood by pulse transit times, blood pressures, pulse-wave velocities, and, in more breadth, ballistocardiograms and pressure-volume loops. The techniques disclosed in this document use various optical sensors to sense hemodynamics, such as skin color and skin and other organ displacement. These optical sensors require little if any risk to the patient and are simple and easy for the patient to use.
Abstract:
This document describes techniques for, and systems that enable, in-ear health monitoring. The techniques described herein enable early detection of health conditions (e.g., contagious disease) through use of an in-ear health-monitoring and audio device. These techniques prompt a user, often through the user's smart phone, to listen to audio content through the device, which also takes the user's temperature. Through repetitive use, the techniques are capable of determining a temperature differential for the user, which aids in early detection of a contagious disease or other malady.
Abstract:
This document describes assessing cardiovascular function using an optical sensor, such as through sensing relevant hemodynamics understood by pulse transit times, blood pressures, pulse-wave velocities, and, in more breadth, ballistocardiograms and pressure-volume loops. The techniques disclosed in this document use various optical sensors to sense hemodynamics, such as skin color and skin and other organ displacement. These optical sensors require little if any risk to the patient and are simple and easy for the patient to use.
Abstract:
This document describes optical central venous pressure measurement. To determine the central venous pressure (CVP) of a person optically, video of a right side of the person's neck is captured. By way of example, a medical professional records a video of the right side of the person's neck using a smartphone. The right side of the person's neck is captured because it is where the person's external and internal jugular veins are located and pulsatile motions that are usable to measure CVP occur in those veins. The video is then processed according to video motion amplification techniques to generate a reconstructed video of the right side of the person's neck. In the reconstructed video, the pulsatile motion of the person's venous system that occurs at the right side of their neck is visually amplified. Using the reconstructed video, measurements are made of a distance between a peak of the visually-amplified pulsatile motion and an anatomical feature of the person. The measured distance between the peak of the visually-amplified pulsatile motion and the anatomical feature is used to determine CVP of the person. These techniques enable CVP to be determined without relying on estimates made by medical professionals.
Abstract:
This document describes automated abdominojugular reflux (AJR) testing. To automate AJR tests, a pressure cuff wrapped around a person's abdomen applies pressure while video of their neck is captured. By way of example, a medical professional wraps a pressure cuff around the person's abdomen and records video of the person's neck using a smartphone, which communicates with the pressure cuff to synchronize the application of pressure with video capture. The video is processed to detect and track the response of jugular venous pulse (JVP), which is compared to AJR test thresholds to determine test results. While determining JVP, and thereby results of AJR tests, from reconstructed videos may not result in data that is as accurate as invasive intra-heart tests, it requires little if any risk to patients and is easy for medical professionals to perform. Further, these techniques enable AJR tests to be performed automatically and without relying on estimates made by skilled medical professionals.
Abstract:
This document describes automated abdominojugular reflux (AJR) testing. To automate AJR tests, a pressure cuff wrapped around a person's abdomen applies pressure while video of their neck is captured. By way of example, a medical professional wraps a pressure cuff around the person's abdomen and records video of the person's neck using a smartphone, which communicates with the pressure cuff to synchronize the application of pressure with video capture. The video is processed to detect and track the response of jugular venous pulse (JVP), which is compared to AJR test thresholds to determine test results. While determining JVP, and thereby results of AJR tests, from reconstructed videos may not result in data that is as accurate as invasive intra-heart tests, it requires little if any risk to patients and is easy for medical professionals to perform. Further, these techniques enable AJR tests to be performed automatically and without relying on estimates made by skilled medical professionals.
Abstract:
This document describes automated nursing assessments. Automation of the nursing assessment involves a nursing-assessment device that makes determinations of a person's mood, physical state, psychosocial state, and neurological state. To determine a mood and physical state of a person, video of the person is captured while the person is positioned in front of an everyday object, such as a mirror. The captured video is then processed according to human condition recognition techniques, which produces indications of the person's mood and physical state, such as whether the person is happy, sad, healthy, sick, vital signs, and so on. In addition to mood and physical state, the person's psychosocial and neurological state are also determined. To do so, questions are asked of the person. These questions are determined from a plurality of psychosocial and neurological state assessment questions, which include queries regarding how the person feels, what the person has been doing, and so on. The determined questions are asked through audible or visual interfaces of the nursing-assessment device. The person's responses are then analyzed. The analysis involves processing the received answers according to psychosocial and neurological state assessment techniques to produce indications of the person's psychosocial and neurological state.
Abstract:
This document describes ways in which to alter physiological signals to address corrupt, noisy, or otherwise faulty data. By so doing, accuracy and robustness in sensing and assessing a patient's cardiovascular health can be improved. These improved assessments permit better measures of health, such as relevant hemodynamics understood by heart rates, heart rate variability, cardiac arrhythmias, blood pressures, pulse-wave velocities, arterial stiffness, cardiac valve timing, thoracic fluids, ballistocardiogram force, photo-plethysmograms, blood oxygenation, and pressure-volume loops.
Abstract:
This document describes synchronizing cardiovascular sensors for cardiovascular monitoring, such as through sensing relevant hemodynamics understood by pulse transit times, blood pressures, pulse-wave velocities, and, in more breadth, electrical conduction properties, cardiac rhythms, thoracic impedance, ballistocardiograms and pressure-volume loops. The techniques disclosed in this document use various cardiovascular sensors to sense hemodynamics, such as skin color and skin and other organ displacement. These cardiovascular sensors require little if any risk to the patient and are simple and easy for the patient to use.