425 results about "Intensive care unit" patented technology

A patient module comprising an 8 channel EEG pre-amplifier whose signal acquisition and processing characteristics are optimized for use in the operating room and intensive care unit. This patient module comprises at least an optimized multistage input filter, an optimized input stage circuit topography, ultra-isolation, oversampling, a multiplexer inter-sample charge dump, and high performance low-frequency-enhanced shielding.

The present invention relates to an apparatus for conducting a variety of assays for the determination of analytes in liquid samples, and relates to the methods for such assays. In particular, the invention relates to a single-use cartridge designed to be adaptable to a variety of real-time assay protocols, preferably assays for the determination of analytes in biological samples using immunosensors or other ligand/ligand receptor-based biosensor embodiments. The cartridge provides novel features for processing a metered portion of a sample, for precise and flexible control of the movement of a sample or second fluid within the cartridge, for the amending of solutions with additional compounds during an assay, and for the construction of immunosensors capable of adaptation to diverse analyte measurements. The disclosed device and methods of use enjoy substantial benefits over the prior art, including simplicity of use by an operator, rapid in situ determinations of one or more analytes, and single-use methodology that minimizes the risk of contamination of both operator and patient. The disclosed invention is adaptable to the point-of-care clinical diagnostic field, including use in accident sites, emergency rooms, surgery, nursing homes, intensive care units, and non-medical environments.

The invention discloses an internet-of-things based intelligent alarm management system for intensive care. The system comprises a data acquisition and control module, a communication module and a central monitoring system, wherein the data acquisition and control module is used for acquiring running state data of an ICU (Intensive Care Unit) monitoring device and vital sign data of a patient in real time and sending the acquired running state data of the ICU monitoring device and vital sign data of the patient to the central monitoring system; the central monitoring system is used for performing analysis processing on the running state data of the ICU monitoring device, identifying a type and a working state of the ICU monitoring device and performing emergent grading alarm on device fault information; and the central monitoring system is further used for performing real-time analysis and comparison on the vital sign data of the patient and a set alarm range and performing emergent grading alarm on abnormal vital sign data of the patient. According to the system, the safety of nursing can be enhanced, the harm of alarm can be effectively reduced, the treatment delay due to 'alarm fatigue' of medical personnel is avoided, and the medical quality can be improved.

A method and system suitable for automated surveillance of intensive care unit patients for information denoting likelihood of in-hospital survival or mortality, represented in the timeseries of scoring systems such as APACHE III. Techniques from digital signal processing and Lyapunov stability analysis are combined in a method that allows for optimization of statistical hypothesis testing that is robust against short time series of as few as five time points. Once optimized, the method and system can achieve high-sensitivity high-specificity classification of survivorship, while avoiding false-positive prediction of mortality.

What is disclosed is a system and method for estimating tidal chest volume using 3D surface reconstruction based on an analysis of captured reflections of structured illumination patterns from the subject with a video camera. The imaging system hereof captures the reflection of the light patterns from a target area of the subject's thoracic region. The captured information produces a depth map and a volume is estimated from the resulting 3D map. The teachings hereof provide a non-contact approach to patient respiration monitoring that is particularly useful for infant care in a neo-natal intensive care unit (NICU), and can aid in the early detection of sudden deterioration of physiological condition due to detectable changes in respiratory function. The systems and methods disclosed herein provide an effective tool for tidal chest volume study and respiratory function analysis.

A method for longitudinal tracking of a patient in a critical care facility. A first diagnostic image at a time t1 is obtained, taken using a first set of imaging parameters. At least a portion of the first set of imaging parameters is stored. A second diagnostic image is obtained at a time t2, later than time t1, using a second set of imaging parameters. At least a portion of the second set of imaging parameters is stored. First and second diagnostic images are of substantially the same body tissue. A region of interest is identified from either the first or second diagnostic image. A computer aided diagnostic process executes for a portion of the region of interest on each of the first and second diagnostic images. Results of the computer aided diagnostic process are compared.

Embodiments of the present invention provide an ICU user condition prediction method based on a deep learning model and a terminal device. The method comprises: acquiring monitoring data of an ICU (Intensive Care Unit) user, wherein, the monitoring data represents physiological index data of the user; inputting the monitoring data into a deep learning model, and carrying out calculation to obtain prediction index data, wherein the deep learning model is obtained through training based on historical monitoring data and historical index data of the ICU user, and the prediction index data is used for indicating a condition change and a death probability of the user after a preset period; and giving a prompt according to the prediction index data. By adopting the method, the condition change and the death probability of the ICU user after a period of time can be predicted by using the deep learning model, so as to help doctors provide effective reference information and offer treatments timely.

A portable sampling or testing device for pharmacokinetics and physiology studies and a method for using the device in conducting tests on stationary or moving animals, or human test subjects, is disclosed. The device includes an apparatus for conducting a test on a freely moving subject, or a device which may be moved by a technician to be positioned over an immobile subject, such as a premature infant or unconscious human subject in an intensive care ward. The device is designed and sized to be mobile. In one embodiment, the device comprises a wheeled cart which may be moved by a human test subject operably connected to it. In another embodiment, the device comprises a wheeled carriage positioned above an animal which wears a sling connected to the device. The device may include an uninterruptible power supply. The method provides for sampling bodily fluids or acquiring physiological readings from the test subject. The method provides for removal of body fluids with or without reintroduction of the withdrawn bodily fluids back into the freely moving subject.

Described is a method of identifying if a subject is to be admitted to the hospital or intensive care unit, the method comprising a) determining the amount of GDF 15 in a sample of the subject, and b) comparing the amount of GDF 15 determined in step a) to a reference amount, whereby a subject to be admitted to the hospital or intensive care unit is to be identified. Also described is a method for predicting the risk of mortality based on determining the amount of GDF 15 in a subject. Also described are devices and kits for carrying out the aforementioned methods.

The invention provides a field first-aid unit which comprises a box body. A first-aid medical equipment informatization management module is arranged in the box body, wherein the box body is a knapsack-type box body; a lifting handle or a strap is arranged outside the box body; the first-aid medical equipment informatization management module is provided with an information management module, a vital sign monitoring module, a defibrillator module, a first-aid respirator module, an ultrasonic module and an automatic cardiopulmonary resuscitation instrument module; at least one group of first sockets is arranged on a face cover of the first-aid unit; the first sockets are electrically connected with at least one of the vital sign monitoring module, the defibrillator module, the first-aid respirator module, the ultrasonic module and the automatic cardiopulmonary resuscitation instrument module; a communication module is arranged in the information management module; the communication module transmits and receives a wireless signal by a mobile communication network. The field first-aid unit provided by the invention has the characteristics that functions of a mobile ICU (Intensive Care Unit) are realized, carrying is convenient, the use is easy, safe and reliable, peacetime and emergency are combined, and provides a reliable approach for field rescue of the wounded suffering from urgent severe diseases.

The invention discloses a biomechanical mattress system which comprises a biomechanical mattress, control terminals and an air compressor. Input ends of air cavities are connected with the air compressor by air inlet electromagnetic valves and air inlet guide pipes, output ends of the air cavities are connected with air outlet guide pipes by air outlet electromagnetic valves, the control terminals are connected with the air compressor, pressure sensors, the air inlet electromagnetic valves and the air outlet electromagnetic valves, and the air compressor, the air inlet electromagnetic valves and the air outlet electromagnetic valves can be switched on and off under the control of the control terminals according to acquired data of the pressure sensors. The biomechanical mattress system has the advantages that the pressures of the air cavities can be adjusted according to the pressure sensors, accordingly, muscles can be moderately relaxed and can be guaranteed against being excessively compressed, and users at prone positions are in straightly stretching and equal body pressure states; physiological parameters of the sleep quality, the heart rates, the turnover frequencies, the respiration and the like are monitored by the aid of prone position body pressures, and the biomechanical mattress system can be widely applied to clinical departments such as ICU (intensive care units), departments of cardiac and cerebral surgery and departments of rehabilitation medicine.

The invention discloses an active in-vitro lung auxiliary system, relating to the technical field of medical equipment. The active in-vitro lung auxiliary system comprises a blood pump, two oxygenators, a coil and a power assembly. With the adoption of the active in-vitro lung auxiliary system, a blood driving mode is changed, the damages to blood cells are reduced under the driving of the pump, blood flow volume is improved and the influence on the original hemodynamics is reduced, the oxygenating capacity is improved, the cost is reduced, and the operative difficult index is reduced; the active in-vitro lung auxiliary system is more economical; and moreover, the device arrangement is compact and small, and convenient to beside use inside a standard ICU (intensive care unit).