An information acquisition method using heart and lung sounds is provided. The information acquisition method includes acquiring, by a computer, heart sound measurement data of a specific patient in real time, acquiring, by the computer, at least one processed heart sound measurement data using the heart sound measurement data in real time, extracting, by the computer, a scale factor between the processed heart sound measurement data and a cardiovascular data value, and calculating and providing, by the computer, a calculated value of specific cardiovascular information data based on the processed heart sound measurement data and the scale factor, wherein the cardiovascular information data has the same variation tendency as a variation tendency of specific processed heart sound measurement data.

A method of monitoring respiration with an acoustic measurement device, the acoustic measurement device having a sound transducer, the sound transducer configured to measure sound associated with airflow through a mammalian trachea, the method includes correlating the measured sound into a measurement of tidal volume and generating at least one from the group consisting of an alert and an alarm if the measured tidal volume falls outside of a predetermined range.

A method of monitoring respiration with an acoustic measurement device, the acoustic measurement device having a sound transducer, the sound transducer configured to measure sound associated with airflow through a mammalian trachea, the method includes correlating the measured sound into a measurement of tidal volume and generating at least one from the group consisting of an alert and an alarm if the measured tidal volume falls outside of a predetermined range.

A system for identifying targets wherein a projectile includes one or more sensors that gather sensor data about the environment and send the gathered data to a computing device. The computing device identifies the target by comparing the gathered sensor data to digital sensor signatures known to correspond to different types of objects. The system is also capable of identifying changes in a status of a target based on a change in the sensor data.

A system for identifying targets wherein a projectile includes one or more sensors that gather sensor data about the environment and send the gathered data to a computing device. The computing device identifies the target by comparing the gathered sensor data to digital sensor signatures known to correspond to different types of objects. The system is also capable of identifying changes in a status of a target based on a change in the sensor data.

A method, a structure, and a computer system for cardiorespiratory monitoring via rapid eye movement. The method comprises detecting eye movement of a user while asleep and determining whether the user is subject to a cardiorespiratory condition based on comparing the detected eye movement to a model.

Active auscultation may be used to determine organ (e.g., lung or heart) characteristics of users. An acoustic or piezo-electric signal (e.g., a pulse, a tone, and/or a broadband pulse) may be projected into an animal (typically human) body or thorax. The signal interacts with the body, or lungs, and in some cases may induce resonance within the body/lungs. A resultant signal may be emitted from the body which may be analyzed to determine, for example, a lung's resonant frequency or frequencies and/or how the sound is otherwise absorbed, reflected, or modified by the body. This information may be indicative of lung characteristics such as lung capacity, a volume of air trapped in the lungs, and/or the presence of COPD.

Active auscultation may be used to determine organ (e.g., lung or heart) characteristics of users. An acoustic or piezo-electric signal (e.g., a pulse, a tone, and/or a broadband pulse) may be projected into an animal (typically human) body or thorax. The signal interacts with the body, or lungs, and in some cases may induce resonance within the body/lungs. A resultant signal may be emitted from the body which may be analyzed to determine, for example, a lung's resonant frequency or frequencies and/or how the sound is otherwise absorbed, reflected, or modified by the body. This information may be indicative of lung characteristics such as lung capacity, a volume of air trapped in the lungs, and/or the presence of COPD.

A single sensor capable of detecting both airflow in spirometry and the full range of sound frequencies needed to track clinically relevant breath sounds is provided. The airflow sensor includes a movable flap with one or more integrated strain gauges for measuring displacement and vibration. The airflow sensor is inherently bidirectional. The sensor is an elastic flap airflow sensor that is capable of detecting data needed for both spirometry and auscultation measurements. The sensor is sterilizable and designed for the measurement of human respiratory airflow. The sterilizable sensor is also suitable for non-medical fluid flow metering applications. Additional devices such as sensors for the ambient level of various chemicals, sensors for temperature, sensors for humidity and microphones, may be affixed to the flap. When the strain gauge is placed in a conventional Wheatstone bridge configuration, the sensor can provide the airflow measurements needed for medical spirometry.

The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub includes configurable medical ports and serial ports for communicating with other medical devices in the patient's proximity. Moreover, the hub communicates with a portable patient monitor. The monitor, when docked with the hub provides display graphics different from when undocked, the display graphics including anatomical information. The hub assembles the often vast amount of electronic medical data, associates it with the monitored patient, and in some embodiments, communicates the data to the patient's medical records.