38 results about "Conscious State" patented technology

A personal monitoring and emergency communications system including a mobile wrist worn apparatus carried by a monitored person for minimizing emergency response time notwithstanding the monitored person's conscious state and including an array of sensors for periodically sensing vital biometric parameters of the monitored person, a memory for storing and comparing the sensed parameters to a pre-stored standard range of the vital parameters for providing a comparator signal, an alarm circuit for evaluating the comparator signal for providing an emergency alarm signal when the sensed vital parameters are not within the pre-stored standard range, and a programmable logic controller for automatically responding to an emergency including broadcasting the alarm signal from a signal transceiver to a worldwide communication network via either of a pair of parallel communication links for locating and continuously communicating the monitored person's data directly to the closest medical response team for providing emergency medical services.

A rehabilitation system for neurological disorders, especially for the rehabilitation of patients being in a vegetative state or minimal conscious state, comprises at least two sensors adapted to measure two different physiological values of the patient and a stimulation generator. Initially predefined target signals determined and based on parameters relating to the injury are generated and, during a rehabilitation session, compared with the measurement signals to drive the stimulation generators delivering sensory stimulation to the patient as feedback. The controlling processor is adapted to change the predefined target signals during a rehabilitation session based on the development or changes of the measurement signals of the different physiological values, to enable a faster and better improvement of the alertness of the patient.

The invention relates to an electroencephalogram data type annotation method and system in a conscious state, wherein the method comprises the following steps that after a user starts a sleeping process, an electroencephalogram sample of the user is collected; the electroencephalogram sample is subjected to wavelet decomposition; the signal rebuilding is performed according to the wavelet coefficient of the set low frequency band to obtain an electroencephalogram; the sample entropy of the electroencephalogram is calculated, and is compared with a pre-calculated sample entropy threshold vale; if the sample entropy is greater than the sample entropy threshold value, the signal type of the electroencephalogram sample is annotated into the conscious state. By using the technical scheme, the method and the system have the advantages that the electroencephalogram is prevented from being interfered; the conscious state of the electroencephalogram is accurately detected; in addition, the effective data type annotation is performed, so that the recognition accuracy of a personnel classifier trained by using the annotated electroencephalogram sample is higher; the reliability of the detection result of the personnel sleeping stage in the later period is also improved.

A device for waking up a crew member resting on an aircraft includes a processing unit configured to detect current development parameters of the aircraft and / or to detect a state of consciousness of at least one other active crewmember. The processing unit is also configured to activate an apparatus for waking up the resting crew member, when at least one predetermined condition for waking up the resting crew member on one or several current parameters of the aircraft and / or on a parameter representative of the state of consciousness of the at least one other active crew member is satisfied.

The invention relates to the technical field of medical imaging, and specifically provides a device for predicting the conscious state of the human brain, aiming at solving the technical problem of how to accurately predict the conscious state of the human brain. For this purpose, the device for predicting the state of consciousness of the human brain in the present invention includes a prediction model of the state of consciousness, which can predict the state of consciousness of the human brain according to the imaging characteristics of the human brain and the corresponding clinical information. Specifically, the imaging feature calculation module in the state of consciousness prediction model can calculate the imaging features that characterize the brain connection state of the patient, the imaging feature screening module can screen the imaging features that are highly correlated with prognosis, and the imaging feature processing module can The imaging features and clinical information are combined into a new feature vector, and the model training module can train the partial least squares regression model based on the feature vector to obtain the final prediction model. The predicting device in the present invention takes both clinical information and image detection information into account, and thus can comprehensively and effectively predict the state of brain consciousness.