In one aspect, a portable medical treatment and guidance apparatus for assisting a caregiver in evaluating and treating a patient experiencing a medical emergency according to a time sensitive prioritization of the medical emergency is provided. The portable medical treatment and guidance apparatus includes a housing having at least one compartment; a plurality of medical supplies housed within the at least one compartment; a user interface configured to receive input and provide an interactive query flow for assisting the user in providing medical treatment; and at least one processor and memory communicatively coupled to the user interface. The at least one processor and memory is configured to determine instructions for assisting the caregiver in treating the patient and present, via a user interface, the determined instructions to assist the caregiver in treating the medical emergency.

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.

In one aspect, a dermal patch is disclosed, which comprises at least a pair of sensing units each configured for detecting at least one analyte in a physiological sample, at least one microneedle configured for puncturing the skin to allow collection of the physiological sample, and a selector device for selecting any one of said sensing units for receiving at least a portion of said collected physiological sample for analysis thereof.

A method for prediction of a head impact event mechanism via an instrumented mouthguard device comprises receiving, as input, time series data representative of a head impact event, wherein the time series data is derived from the instrumented mouthguard device. The instrumented mouthguard device includes one or more accelerometers. The method further comprises generating an array of spatial coordinates representing points on a computer head model, and processing the time series data to determine a direction of impact and location of impact relative to the computer head model.

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.

The invention relates to a respiratory-aid apparatus (1) capable of supplying a stream of gas to a patient (P), comprising a gas-transport pipe (2) for transporting a stream of gas, such as air; measurement means (6) designed to measure at least one parameter representing the stream of gas and to supply at least one signal corresponding to said at least one parameter representing said stream of gas, for example the gas flow rate or pressure; signal-processing means (8) designed to process said at least one signal from the measurement means (6) and to deduce therefrom at least one piece of information (I1, I2, I3) characterising a cardiac massage performed on a patient; and display means (7) designed to display said at least one piece of information (I1, I2, I3) characterising a cardiac massage from the signal-processing means (8). The signal-processing means (8) are preferably capable of determining information representing the work (W.sub.V, W.sub.T) provided by the massage or pressure and/or flow rate amplitudes resulting from the massage. The invention also relates to a monitoring method capable of being implemented by such a respiratory-aid apparatus (1).

In one embodiment, an ECG monitoring system includes two or more electrodes configured to record cardiac potentials from a patient, at least one processor, and a rapid acquisition module executable on the at least one processor to: determine that an impedance of each electrode is less than an impedance threshold; record initial ECG lead data based on the cardiac potentials; determine that a noise level in each ECG lead of the initial ECG data is less than a noise threshold; start a recording timer once the noise level is below the noise threshold; record an ECG dataset while the noise level is maintained below the noise threshold until the recording timer reaches a predetermined test duration; store the ECG dataset and provide a completion alert.

An ultrasound diagnostic apparatus (1) includes an ultrasound probe (2) having a predetermined size; and a portable diagnostic apparatus main body (3), in which the diagnostic apparatus main body (3) includes a camera (25) that captures an optical image including a wound region of a subject and the ultrasound probe, an image generation unit (22) that generates an ultrasound image for the wound region, a monitor (24) that displays the optical image and the ultrasound image, an extraction unit (26) that extracts the wound region and the ultrasound probe from the optical image, and a wound size calculation unit (27) that calculates an actual size of the wound region on the basis of the predetermined size of the ultrasound probe (2) by comparing the extracted wound region and the extracted ultrasound probe (2), and displays the actual size on the monitor (24).

A non-invasive method of estimating intra-cranial pressure (ICP). The method including the steps of: a. non-invasively measuring pressure pulses in an upper body artery; b. determining central aortic pressure (CAP) pulses that correspond to these measured pressure pulses; c. identifying features of the ICP wave which denote cardiac ejection and wave reflection from the cranium, including Ejection Duration (ED) and Augmentation Index of Pressure (PAIx); d. non-invasively measuring flow pulses in a central artery which supplies blood to the brain within the cranium; e. identifying features of the measured cerebral flow waves which denote cardiac ejection and wave reflection from the cranium as Flow Augmentation Index (FAIx); f. calculating an ICP flow augmentation index from the measured central flow pulses; g. comparing the calculated ICP pressure augmentation index (PAIx) and flow augmentation index (FAIx) to measure (gender-specific) pressure and flow augmentation data indicative of a measured ICP to thereby estimate actual ICP; and h. noting any disparity between ED measured for pressure waves and ED measured for flow.

Methods and apparatus provide monitoring of coughing and/or a sleep disordered breathing state of a person. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of coughing and/or sleep disordered breathing. The processor may evaluate sensing signal(s) to generate indication(s) of cough event(s) and/or cough type which may include generating an indication of a coronavirus disease or a coronavirus disease cough type.