The present invention provides systems and methods for management and orchestration of a fleet of remote Internet-of-Things (IoT) devices. The present invention includes a platform for onboarding, provisioning, and managing remote IoT devices throughout their lifetime. The platform includes portals for manufacturers, vendors, and consumers to access device data and sensor data collected by the devices. The data collected by the portal is used to control the fleet of remote IoT devices as well as make recommendations, e.g., for sleep promotion and stress reduction.

The following relates generally to ensuring patient safety while operating a Magnetic Resonance Imaging (MRI) machine. Many MRI systems operate using: fiber optic cables to carry signals, electrically conductive cables to carry other signals, and radio frequency (RF) coils to create an electromagnetic field. Typically, the electrically conductive cables and RF coils do not interact in a way that causes harm to a patient. However, certain shapes and/or lengths of cables exhibit the phenomenon of “resonance” that increases their propensity to concentrate RF currents induced by the RF coils. This may increase the temperature of the cable or other component in the MRI system leading to patient harm. The methods disclosed herein provide a solution to this by sensing a shape of the fiber optic cable and determining if the fiber optic cable will exhibit resonance. If it is determined that resonance may potentially occur, an alarm may be generated or a radio frequency amplifier may be interlocked.

A step of extracting components of one or more frequency bands from a first section of an EEG; a step of calculating a first index for each of the components of one or more frequency bands, wherein the first index is calculated based on a degree to which a magnitude of each of the components of one or more frequency bands with respect to a magnitude of a predetermined reference component in the first section exceeds a predetermined threshold value; a step of calculating a probability value for each of one or more patient statuses from the first index for each of the components of one or more frequency bands using a trained artificial neural network; and a step of determining the consciousness level of the patient based on the probability value for each of the one or more calculated patient statuses.

A ventilator system for a patient includes: an intubation tube configured to flow oxygen-enriched humidified air (OHA) toward patient lungs and to evacuate exhaust air exhaled from the lungs, the intubation tube includes: a distal end, configured to be inserted into patient trachea, and a proximal end, configured to be connected to tubes for receiving the OHA and evacuating the exhaust air; a first microgravity sensor, coupled to the intubation tube at a first position, and configured to produce a first signal indicative of a first micro-acceleration of the intubation tube at the first position; a second microgravity sensor, coupled to the intubation tube at a second different position, and configured to produce a second signal indicative of a second micro-acceleration of the intubation tube at the second position; and a processor, configured to control the ventilation system to apply a ventilation scheme responsively to the first and second signals.

The present invention is for a method and system for pain classification and monitoring optionally in a subject that is an awake, semi-awake or sedated.

The present invention relates to measuring electrical impedance, and particularly to measuring impedance of electrodes used to acquire physiological signals. The measurement of electrode impedance is typically performed to ensure proper electrode-to-skin contact, and thus verify the quality of the acquired signals. Electrode-to-skin contact impedance has also clinical utility for monitoring, diagnosis, prognosis or treatment, as it can be used to measure skin conductivity, which is function of physiological processes. The present invention relates in particular to a substantially continuous method for performing such measurement. The measurement is performed in such a way that it does not affect the bioband, the range (or ranges) of frequencies that contains components used for diagnostic, prognostic, triage, and/or treatment purposes. The present invention therefore performs this impedance measurement without affecting the physiological signal while allowing for uninterrupted monitoring of said signal.

Systems and methods are provided for intraoperative real-time clinical decision support. A system includes a processor, a non-transitory computer readable medium, storing executable instructions, and an output device. An interface is configured to receive a first set of patient data in real-time from at least one sensor monitoring vital signals of a patient during a surgical procedure and a second set of patient data in real-time from an anesthesia machine during the surgical procedure. An input interface receives an indicator representing at least an identity of a therapeutic to be administered to the patient. A machine learning model determines from the indicator, the first set of patient data, and the second set of patient data if an alert should be provided to a user. The output device provides the alert to the user if the machine learning model determines that the alert should be provided.

The present invention generally relates to compositions comprising anesthesia-reversing agents which facilitate or increase the time of awakening or reverse the effects of general anesthesia-induced unconsciousness. In some embodiments, the anesthesia reversing agent can be selected from any or a combination of methylphenidate (MPH), amphetamine, modafinil, amantadine, caffeine, or analogues or derivatives thereof. In some embodiments, compositions comprising at least one or more anesthesia-reversing agents can be used to facilitate awakening from anesthesia without or decreasing occurrence of delirium, and can be used in methods to treat or prevent the symptoms associated with emergence delirium, as well as treat a subject oversedated with general anesthesia. The invention also relates to methods for administering these compositions comprising anesthesia-reversing agents to subjects and for use.

A medical monitoring device includes a signal collection module, a data processing module and a display module. The data processing module processes a vital sign signal collected by the signal collection module, generates physiological parameters, and generates visualization information about parameters of interest corresponding to a designated anesthetic phase based on request information, the designated anesthetic phase is an anesthetic induction phase, an anesthetic maintenance phase or a postoperative recovery phase, and the parameters of interest comprise parameters selected from the physiological parameters and/or anesthetic parameters derived from the physiological parameters. The display module at least displays the visualization information about the parameters of interest corresponding to the designated anesthetic phase in an anesthetic state display area.

A device (100) for measuring ocular microtremor (OMT) of a patient's eye, comprises a light source (10) for illuminating a target area of the eye with a light beam. The device also comprises a detector (20) arranged to detect scattered light from the interaction of the light beam with the target area of the eye. The device further comprises a focusing lens (30) arranged to collect the scattered light for the detector, and a port in a wall of the device through which the light beam can exit the device and/or through which the scattered light can enter the device. The device is configured to stabilise and/or support the device on or against a patients head. A method of measuring microtremor of an eye is also provided.