Resuscitation and ventilation monitoring devices are provided. A device includes an inlet in fluid communication with airflows exchanged with lungs of a patient and an airflow meter for measuring characteristics of the airflows. A user may provide a controller with patient information, e.g., height, weight, gender, or age, via a measurement selector, enabling the controller to determine acceptable ranges of measured airflow characteristics. The device may determine a current mode of ventilation and associated ventilator settings based on the measured airflow characteristics. The device may also identify and filter out artifacts present in the ventilation signal, and determine whether a respiratory failure phenotype is present in the ventilation. If the current mode of ventilation and associated ventilator settings fall outside an acceptable range, the ventilation is classified as off-target and the controller may cause a sensory alarm to alert the user. The device may suggest a corrective action based on the type of off-target ventilation detected. The device may also continuously analyze ventilation to determine changes in lung compliance over time and to identify pathological changes over time. The device may work within a network of devices and user interfaces via wired or wireless communication, and is not restricted to or dependent on the type of ventilatory device with which a patient is being supported.

Various systems, devices, and methods are disclosed herein for treating acute myocardial infarction (AMI) patients using a heart pump controlled in a manner that maximizes mechanical unloading of the left ventricle in the presence of cardiovascular instability and minimizes myocardial oxygen consumption (MVO2) and consequentially infarct size to prevent the development of subsequent heart failure. In a closed feedback system, the system can include a sensor configured to generate an output used to measure or calculate a left ventricular systolic pressure (LSVP) within the left ventricle of a heart and a controller coupled to a heart pump. The controller can be configured to measure or calculate the LVSP based on the output of the sensor and to control an operation of the heart pump to maximize mechanical unloading of the left ventricle based on the measured or calculated LVSP.

Systems and methods for monitoring and/or controlling a state of a subject during volume resuscitation are disclosed. One method includes acquiring cardiovascular data from a subject, obtaining previous volume administration information, and analyzing the cardiovascular data to determine a past time trajectory for at least one cardiovascular parameter. The method also includes determining a future state of the subject with and without additional volume administration using a statistical model, and determining, based on the future state of the subject, a likelihood that the at least one cardiovascular parameter will exceed or fall below a threshold at one or more pre-determined time points. The method further includes generating a report including a recommendation for administering an additional volume to the subject based on the determined likelihood and controlling administration of an additional fluid volume to the subject based on the report.

A system, includes a wireless communication network that transmits data over available radio frequency channels, one or more medical sensors that are associated with a patient and that detect physiological data from the patient, and one or more communication hubs associated with the patient and that receive the detected physiological data from the one or more medical sensors and scan the available radio frequency channels around the one or more communication hubs to generate radio frequency data indicative of a measured signal strength in each available radio frequency channel of the of available radio frequency channels. The one or more communication hubs wirelessly transmit the physiological data and the radio frequency data via one or more of the of available radio frequency channels. The system further includes a processor and a memory storing instructions, such that the instruction cause the processor to receive the radio frequency data and provide communications instructions to the one or more communication hubs to communicate the physiological data over a different available radio frequency channel based on the radio frequency data.

A patient monitor can diagnose whether its speaker is blocked, malfunctioning, or at a volume that is too low. For example, the monitor can include a processor that can diagnose the speaker by recording a microphone input signal. The processor can compare the microphone input signal to an expected alarm signal that should be output by the speaker. If the two do not match or reasonably correspond to one another, then the processor may increase the volume of the alarm to determine whether doing so can overcome an obstruction, noise, or potential malfunction. The microphone can again detect the speaker output, and the processor can again make another comparison or analysis of the input with the speaker output. If the speaker output as detected via the microphone is still insufficiently loud, then the patient monitor may output an indication that the speaker has a problem.

A method for detecting the status of a caregiver with respect to one or more patients or detecting possible caregiver impairment includes monitoring an environmental aspect of the patient. The monitored environmental aspect is at least one of caregiver physical activity, caregiver physiological state, and patient surroundings. The method assesses conformance/nonconformance of each monitored aspect relative to a specified norm for that aspect. If the assessment of conformance/nonconformance indicates an intuitive concern of the caregiver or a possible impairment of the caregiver, the method issues a signal to a destination which indicates the possible concern or impairment. A system for carrying out the method includes a sensing subsystem, a processor, and machine readable instructions. The machine readable instructions, when executed by the processor, cause the system to identify, in response to information sensed by the sensing subsystem, the possibility of caregiver concern or impairment.

A gatekeeper electronic signal can be generated by a patient sensor and/or in an intermediate device, such as an electrical cable, that is separate from a patient's physiological information electronic signal. The gatekeeper signal can be generated to indicate to a computer monitor that the sensor and/or cable is of the type that is compatible with, and/or usable with, such computer monitor, and/or that the sensor and/or cable is properly attached to the computer monitor. The gatekeeper signal can be created by an ambient temperature sensor on, or in electrical communication with, the patient monitor, and/or the gatekeeper signal can be created by a gatekeeper electronic signal generator to simulate an ambient temperature value. The gatekeeper signal can be separate from an electronic signal or plurality of signals that include patient physiological information, and the gatekeeper signal may not include any patient physiological information.

A method for quantifying a glucose concentration is a method for quantifying a glucose concentration in which near-infrared light is emitted onto a living organism and a glucose concentration in a biological tissue is measured using a signal obtained by receiving diffusely reflected light or transmitted light from the biological tissue. A concentration calculation step calculates a concentration index of a glucose component by using at least a spectrum of a water component, a spectrum of a glucose component, and a spectrum of a fat component to synthesize a difference spectrum between a measurement spectrum at a time of measurement of a glucose concentration and a spectrum serving as a reference obtained previous to the measurement spectrum. A glucose concentration calculation step calculates a glucose concentration in the living organism using the calculated concentration index.

A gatekeeper electronic signal can be generated by a patient sensor and/or in an intermediate device, such as an electrical cable, that is separate from a patient's physiological information electronic signal. The gatekeeper signal can be generated to indicate to a computer monitor that the sensor and/or cable is of the type that is compatible with, and/or usable with, such computer monitor, and/or that the sensor and/or cable is properly attached to the computer monitor. The gatekeeper signal can be created by an ambient temperature sensor on, or in electrical communication with, the patient monitor, and/or the gatekeeper signal can be created by a gatekeeper electronic signal generator to simulate an ambient temperature value. The gatekeeper signal can be separate from an electronic signal or plurality of signals that include patient physiological information, and the gatekeeper signal may not include any patient physiological information.

Resuscitation and ventilation monitoring devices are provided. A device includes an inlet in fluid communication with airflows exchanged with lungs of a patient and an airflow meter for measuring characteristics of the airflows. A user may provide a controller with patient information, e.g., height, weight, gender, or age, via a measurement selector, enabling the controller to determine acceptable ranges of measured airflow characteristics. The device may determine a current mode of ventilation and associated ventilator settings based on the measured airflow characteristics. The device may also identify and filter out artifacts present in the ventilation signal, and determine whether a respiratory failure phenotype is present in the ventilation. If the current mode of ventilation and associated ventilator settings fall outside an acceptable range, the ventilation is classified as off-target and the controller may cause a sensory alarm to alert the user. The device may suggest a corrective action based on the type of off-target ventilation detected. The device may also continuously analyze ventilation to determine changes in lung compliance over time and to identify pathological changes over time. The device may work within a network of devices and user interfaces via wired or wireless communication, and is not restricted to or dependent on the type of ventilatory device with which a patient is being supported.