316 results about "Functional connectivity" patented technology

A multipart medical engineering system, which comprises at least two components that can be connected via positioning-determining connection feature (410, 411). At least one component (44) is intended to remain in the vicinity of the patient in the connected and unconnected states of the system and at least one component (41) can be removed or replaced with other components in the unconnected state. The component (44) intended to remain in the vicinity of the patient contains a data storage element (45) that can be written to and read via an interface (46) that is mechanically integrated in the position-determining connection means (410, 411).

A method of connecting an access point to other network elements in a wireless telecommunication system having at least one access point offering wireless connections, and at least one fixed network part, includes storing data on an IC card for connecting at least one access point to a functional connection with the fixed network part. The IC card is connected to a functional connection with the access point when the access point is to be connected to the fixed network part. Necessary resources of the fixed network part are connected to a functional connection with the access point on the basis of said stored data. As a precondition for the connection, the IC card's rights to use the resources of the fixed network part can be checked in the fixed network part.

A method for recognizing a face in an image is performed by a facial recognition system. The system retrieves an image and detects a face within the image. The system then determines a set of facial feature positions for a set of facial features. The set of facial feature positions are used to separate the face into a set of facial feature parts. For each part, the system extracts a set of image features. The extracted features are concatenated into a full feature. The system performs dimension reduction on the full feature to derive a final feature.

An electronic device comprises a first camera module, a display device, and a processor functionally connected with the first camera module and the display device. The processor may be configured to determine a size of at least one eye area included in an image obtained by the first camera module while displaying a virtual image using the display device and to control a degree of display of the virtual image corresponding to the size of the at least one eye area. Other various embodiments are also available.

To use the same onboard apparatus and navigation system in many kinds of vehicles. A table in which manufacturers and vehicle types are connected with designs and functions has been previously stored in a navigation system module 21. The navigation system module 21 itself sends the center controller 11 a query about vehicle information (the country that manufactured, manufacturer, vehicle type, using country, manufacturing number), recognizes the vehicle information supplied from the center controller 11, and automatically sets the screen design, function, etc., suitable to the vehicle on which the onboard apparatus is mounted.

The invention provides a method and system for extracting abnormal parameters of the brain. The method comprises the following steps: carrying out magnetic resonance diffusion tensor imaging and resting-state functional imaging scanning for the brain, and obtaining diffusion tensor data and resting-state functional data of the brain; building the structural connection network of the brain according to the diffusion tensor data; building the functional connection network of the brain according to the resting-state functional data; coupling the structural connection network with the functional connection network to obtain network coupling indexes; arraying and verifying the network coupling indexes and normal network coupling indexes, and extracting the parameters which are different from the normal network coupling indexes in the network coupling indexes. The method and the system are used for conveniently extracting the parameters sensitively reflecting the abnormity of the structure and the function of the brain.

The invention relates to a multi-group transmission of a motor vehicle with at least two transmission groups (2, 3) arranged in a drive train, in which the means for switching an intermediate gear are provided, in order to diminish or avoid interruptions in tractive force during gear changes. A planetary transmission (41) is arranged between a first transmission group (2) and a second transmission group (3), in order to enable gear changes without interruptions in tractive force with a variably selectable intermediate gear, as well as efficient operation that involves as little wear as possible, whereby a transmission input shaft (17) can be brought into a functional connection with a transmission main shaft (30) via the planetary transmission (41). According to a method of operating the multi-group transmission, a functional connection is established between a transmission input shaft (17) and a transmission main shaft (30), in order to switch an intermediate gear with the help of a planetary transmission (41) which can be engaged by means of the associated clutches (46, 47), so that at least one main group (3) is load-free, when a starting element (7) arranged between a drive motor and the transmission main shaft (17) is at least partially closed, an engaged initial gear is disengaged, the rotational speed of the drive motor in a slippage mode of at least one of the clutches (46, 47) of the planetary transmission (41) is synchronized with a connecting rotational speed of a target gear, and, when the connecting rotational speed is reached, a target gear is engaged, and the planetary transmission (41) is one again deactivated.

A USB Type C connector port adapts to support docking solutions with enhanced power transfer features, including increased power transfer levels supported through a guide pin and connector interface, rapid power transfer configuration changes by applying pre-negotiated power settings, external battery charge and discharge at an information handling system with improved efficiency accomplished by transitioning voltage between native and boosted levels responsive to information handling system load, and robust connector port coupling in a cavity of a connector shell.

A device for preparing drinks that incorporate a capsule selection function connected to a system for brewing the contents of the capsules to enable brewing to take place under optimal conditions. The device includes a storage system comprising capsules arranged in several sets, a mechanism for capturing a capsule individually from a set and releasing the capsule into a brewing system. The capture mechanism is able to move between the storage system and the brewing system and is designed in such a way as to adopt at least two positions, a first or reception position in which the capsule is held and is able to be transferred by the capture means and a second or release position in which the capture means can be opened to release the capsule from the capture mechanism. The device provides advantages in the handling of the capsule after its selection, in particular, its transfer, the brewing of its contents, and, optionally, the ejection of the spent capsule in a reliable, rapid and automated manner. In addition, the invention provides more reliable usage with no problems of pouring and draining the liquid extract.

The invention provides a depression recognition and analysis system based on a resting state brain network. The depression recognition and analysis system comprises (a) a resting state electroencephalogram data acquisition and preprocessing module used for collecting resting state electroencephalogram data of subjects and preprocessing the collected resting state electroencephalogram data, (b) a brain network metric extraction module used for constructing a personalized brain network structure, respectively finding out common active brain regions of a depression group and a normal control group from the personalized brain network structure, finding out different brain regions based on the common active brain regions of the two groups and extracting brain network metrics, and (c) a classification recognition module used for conducting feature selection on the extracted brain network metrics and functional connection features and classifying the data of which features are already screened to achieve recognition of depression patients and normal subjects. The depression recognition and analysis system has the advantages that feature dimension is effectively reduced, calculation efficiency is improved, and depression recognition can be effectively achieved.

Systems and methods for modeling functional magnetic resonance image datasets using a multivariate auto-regressive model which captures temporal dynamics in the data, and creates a reduced representation of the dataset representative of functional connectivity of voxels with respect to brain activity. Raw spatio-temporal data is processed using a multivariate auto-regressive model, wherein coefficients in the model with high weights are retained as indices that best describe the full spatio-temporal data. When there are a relatively small number of temporal samples of the data, sparse regression techniques are used to build the model. The model coefficients are used to perform data processing functions such as indexing, prediction, and classification.

The invention discloses a brain age prediction method based on a brain connection network. The method comprises the following steps: firstly, a function connection network is extracted from a brain image; secondly, a clustering coefficient of a network node is calculated as a node feature; then, LASSO is used for carrying out feature selection on weights of edges, and edges without determination are eliminated; then, the node feature and the feature of the edge with determination are fused as a fused feature; and finally, a supper vector regression (SVR) is used for predicting a brain edge. The brain age prediction method based on the brain connection network provided by the invention has the advantages that features can be effectively extracted, and the regression effects are good.

A connectivity hub enabling multiple peripheral devices to be connected with a computer includes a stationary base station functioning as a connectivity hub and a removable connectivity hub functioning by itself as a travel connectivity hub. The removable travel hub can be plugged into the stationary base station by connecting an upstream port of the removable hub to a downstream port of the base station. Thus, a user of the connectivity hub achieves the functionality of a full-featured connectivity base station as well as that of a small, easily transportable travel hub without having to purchase multiple units.

The system including a well tool having a housing forming a protection fluid chamber in fluid communication with a discharge port, a protection fluid disposed within the protection fluid chamber, and a moveable mechanism in functional connection with the protection fluid chamber in a manner to expel a portion of the protection fluid when the moveable mechanism moves.

An embodiment of a method for a determination, section after section, of a parameter-dependent correction value approximation course includes determining a first measurement signal value with a first parameter value associated with a sensor arrangement when the first parameter value fulfils a predetermined condition or a trigger condition is fulfilled, changing the first parameter value to obtain a second parameter value, determining a second signal value with the second parameter value and determining a second partial section of the correction value approximation course for a second parameter range based on a functional connection describing the second partial section, the first parameter value, the second parameter value, the first measurement signal value, the second measurement signal value and an initial correction value.

The invention provides a site-directed mutated rituximab containing unnatural amino acid markers and a method for conjugating the rituximab by site-directed mutation and site-directed micro-molecules. The method includes the steps: leading unnatural amino acid into rituximab genes by genetic codon extension technology in a site-directed manner; performing site-directed connection by the aid of the unnatural amino acid and modifiers such as poly-difunctional connecting arms DIBO-DOTA; further realizing site-directed conjugating of the rituximab and radioactive isotope such as Cu64 through DOBO-DOTA. The invention further relates to an application of site-directed conjugated micro-molecule rituximab as development, tracing and therapeutic radio-immunity conjugate.

The present invention relates to a dynamic brain function detection method and system synchronous with transcranial magnetic stimulation. The system comprises a transcranial magnetic stimulation device for magnetically stimulating a targeted brain region of a subject to achieve a purpose of activating or inhibiting functions of a corresponding brain region; a functional near-infrared spectrometerfor collecting brain blood oxygen signals of the targeted brain region of the subject and other function connection related brain blood oxygen signals; an analysis module for analyzing blood oxygen signals of multiple-frequency bands of the brain blood oxygen signals; and a synchronous marking module for synchronously marking a stimulation moment in near infrared time domain signals when the transcranial magnetic stimulation (TMS) device starts to perform magnetic stimulation so as to instantly collect changes of the blood oxygen signals when the magnetic stimulation starts. The method provides a feasible scheme for researching brain disorder and cortical changes caused by the TMS and can also objectively measure an effect of the transcranial magnetic stimulation on different regions of abrain on a premise that the effect of the transcranial magnetic stimulation on the different regions of the brain cannot be quantified.

Provided is a head-mounted display (HMD) apparatus and a method of controlling information output for the HMD apparatus. The HMD apparatus includes a frame in which one or more devices are installable, an interface unit to functionally connect to at least one of one or more devices installed in the frame and an external device, a detection unit to detect a user input, and a processor to perform a process of determining the one or more devices installed in the frame, controlling the interface unit according to the determination result, and controlling the one or more devices installed in the frame and the external device on the basis of user input detected through the detection unit.