168 results about "Objective assessment" patented technology

Appropriate assessment of wound oxygenation is critical to establish a diagnosis, to monitor the effect of the treatment, to guide the therapeutic process, to identify the presence of infection, and to predict the treatment outcome. Embodied systems and methods represent an enabling technology for noninvasive and objective assessment of wound tissue oxygenation. In addition to wound healing, disclosed embodiments offer low cost and portable avenues for noninvasive assessment of multiple clinical parameters for the detection and intervention of various malignancies in multiple soft tissue systems.

A system for objective assessment of learning outcomes comprising a data repository comprising at least a hierarchical arrangement of a plurality of learning goals, a report generator coupled to the data repository, an analysis engine coupled to the data repository, a rules engine coupled to the data repository, and an application server adapted to receive application-specific requests from a plurality of client applications and coupled to the data repository. The application server is further adapted to provide an administrative interface for viewing, editing, or deleting a plurality of learning goals and relationships between them, learning assessment tools, learning outcome reports, and learning indexes, and the rules engine performs a plurality of consistency checks to ensure alignment between and among learning goals, learning assessment tools, learning outcomes, and learning indexes. The application server receives learning assessment data and the analysis engine performs analyses to generate a plurality of learning indexes.

A method and apparatus for providing an objective assessment of the neurological state of a patient using a field-portable neuro-assessment device is described. The method includes placing an electrode set on the patient's head, acquiring spontaneous brain electrical signals and evoked potential signals from the patient through the electrode set, processing the signals using a handheld base unit, and displaying a result indicating the probability of the patient's neurological signal being normal or abnormal. The neuro-assessment device allows for a rapid, on-site neurological evaluation by an emergency medical technician, triage nurse, or any other medical personnel to identify patients with neurological disorders who may require immediate medical attention.

The present invention is directed to a method for improving the quality of life of a patient. The method involves assessing the patient's quality of life by evaluating parameters relating to the patient's health, and assigning a score in relation to the evaluated parameters. In one version, the patient's score is compared to a standard score, and a treatment program is assigned to the patient on the basis of the comparison. The evaluated parameters may be related to the patient's mental health and physical health, and a mental health score and a physical health score can be assigned. In another version, the mental health score is compared to the physical health score, and a treatment regimen is assigned on the basis of the comparison. The method allows for improvement in quality of life of the patient by providing for a substantially objective assessment of parameters relating to the patient's health.

Method, system and device for assisting diagnosis of autism which enable assistance of early detection and early definite diagnosis of autism (especially in infants) based on objective evaluation, using a conventionally suggested “eye-gaze detection technique”. The method for assisting diagnosis of autism of a subject uses an eye-gaze detecting unit, the unit having at least an imaging camera portion. The method includes displaying, at the position in front of the subject along the direction of the eye gaze of the subject, an illusionary image contained in a plane of an illusion-causing image on a displaying device. The eye-gaze position information of the subject looking at the plane is detected, and the eye-gaze position information of the subject is input into an eye-gaze position information storage portion The eye-gaze positions of the subject can be evaluated using a algorithm for assisting diagnosis of autism.

The invention provides a closed-loop hypnotic head cover based on brain electric wave monitoring. The closed-loop hypnotic head cover becomes a daily necessity (in the fields of agriculture, light industry and medical supplies). The closed-loop hypnotic head cover is simple in structure and powerful in function, and the bidirectional interaction between the head cover and a mobile phone is achieved. The head cover is micro and lightweight terminal equipment and is composed of a cover body and an equipment cabin. The cover body is a net-shaped 'cap'. The equipment cabin is a soft cabin body, a built-in brain electrical sensor can acquire delta, theta, alpha, beta and gamma brain electric waves in real time, and the brain electric wave occurrence time and duration in each sleeping stage are recorded; corresponding brain electrical music is played, and brain electric waves are guided from a waking state to a meditation direction, then from a meditation state to a light sleep direction, and finally from a light sleep state to a deep sleep direction; through tracing acquisition, vertical comparison and verification are conducted on brain electrical data, and according to quantitative data and qualitative analysis, an objective assessment is made; through an optimization algorithm, the volume of hypnotic music changes with the change of different brain electricity, the brain electrical music is firstly played to guide the brain electric waves, the brain electrical sensor and a three-dimensional acceleration sensor are used for double acquisition, and the hypnotic effect is analyzed in the aspects of the brain electricity and a body.

The invention discloses a credit assessment method and system. The credit assessment method includes the steps of obtaining initial confidence values of users according to personalized credit control information of the users; analyzing detailed record data of the users to obtain social circle information of the users; calculating confidence value correction factors through the obtained social circle information, and correcting the initial confidence values to obtain credit values of the users. By means of the credit assessment method, credit parameters of social circles of the users are introduced into a user credit assessment system, the social circle information is mined and calculated through a large data platform, the confidence degree correcting factors of the social circles of the users are introduced on the basis of the initial confidence values of the users, objective assessment on the credits of the users is achieved, operators can easily and comprehensively assess the credit reliability of the users in a multi-dimension mode, the user experiences are accordingly improved, and operational risks of the operators are reduced; in other words, the occurrence probability of events such as money owing is lowered.

A video quality objective assessment method based on a spatiotemporal domain structure firstly combines a spatiotemporal domain gradient magnitude and color information for calculating a spatiotemporal domain local similarity, and then uses variance fusion for spatial domain fusion. The spatiotemporal domain local similarity is fused into frame-level objective quality value, and then a temporal domain fusion model is established by simulating three important global temporal effects, which are a smoothing effect, an asymmetric track effects and a recency effect, of a human visual system. Finally, the objective quality values of the distorted video sequence are obtained. By modeling the human visual temporal domain effect, the temporal domain weighting method of the present invention is able to accurately and efficiently evaluate the objective quality of the distorted video.

The invention discloses a non-reference voice quality objective assessment method based on deep learning voice enhancement, belonging to the voice quality assessment technology field. The non-reference voice quality objective assessment method based on deep learning voice enhancement comprises steps of enabling voice to be tested to go through a trained voice enhancement model based on a deep belief network to obtain an enhanced signal, extracting Mel-frequency cepstral coefficients of signals before and after enhancement respectively, obtaining a difference of the two coefficients, taking the parameter as an input and mapping the parameter as a final objective score through a BP neural network model of a second layer and thus realizing an objective assessment of the non-reference voice quality. Compared with a traditional voice quality assessment model, a correlation degree between the non-reference voice quality objective assessment method of the invention and the object quality score is good and a mean square error is smaller.

The invention discloses a pixel type based assessment method of image quality by utilizing structural similarity, comprising the following steps: (1) computing gradients of the reference map and the assessment map by the Canny method, simultaneously obtaining two thresholds representing the strong and weak boundaries of the image gradient values, dividing each pixel position in the image into marginal, texture and flat regions and establishing the regional weight map (RWM) with different weights in different pixel region types; (2) comparing the brightness, contrast and gradient structural similarity of the reference map and the assessment map to obtain the gradient structural similarity (GSSIM) index; and (3) carrying out point multiplication on the RWM and the GSSIM obtained in the steps (1) and (2) to obtain the degeneracy information index map with different weights in different pixel regions and obtaining the mean of the map to obtain the assessment value for assessing the image quality. The method can be widely applied to each stage of image processing, can rapidly give the specific index value for measuring the image quality and is high in accuracy and strong in practicability.

The invention discloses a method of monitoring the data collection and aggregation states, including the following steps: a. the invention detects the information of collection and aggregation states of various data migration points during the collection and aggregation process; b. the client makes use of the configuration information of various data migration points and the information of collection and aggregation states to generate the navigation tree information and the topology graph information which takes the concerned data migration points as the center, and the information is displayed by legend. The invention also discloses a system of monitoring the data collection and aggregation states at the same time. The invention can provide the intuitive, vivid and real-time information of data collection and aggregation states for the working staff, the general technical staff can carry out the objective assessment of the information of the data collection and aggregation states of various processes during the collection and aggregation process by the invention, which does not need the telecommunication network management maintenance staff with the experiences, furthermore, the invention can timely and clearly discover the problems and accurately position the problems, further to adopt the targeted operations to solve the problems.

A method of developing a MVQP system includes determining network factors affecting video quality over a LTE network; displaying, via live video streaming, video recordings; receiving evaluations of the displayed video recordings to form a subjective assessment; calculating a subjective MOS for the video recordings based on the corresponding subjective assessment and the network factors; calculating a correlation between the received evaluations and the subjective MOS for the video recordings; receiving and saving the video recordings for an objective assessment; measuring the network factors during reception of the video recordings in the objective assessment; predicting an objective MOS for the video recordings based on the measured network factors, the calculated correlation, and at least one weight value; comparing the predicted objective MOS to the subjective MOS; and based on the comparison, modifying the weight value. The measuring, predicting, and comparing are repeated until a predetermined condition is met.

An objective assessment method for a stereoscopic image quality combined with manifold characteristics and binocular characteristics trains a matrix after dimensionality reduction and whitening obtained from natural scene plane images through an orthogonal locality preserving projection algorithm, for obtaining a best mapping matrix. Image blocks, not important for visual perception, are removed. After finishing selecting the image blocks, through the best mapping matrix, manifold characteristic vectors of the image blocks are extracted, and a structural distortion of a distorted image is measured according to a manifold characteristic similarity. Considering influences of an image luminance variation on human eyes, a luminance distortion of the distorted image is calculated according to a mean value of the image blocks. After obtaining the manifold similarity and the luminance similarity, quality values of the left and right viewpoint images are processed with linear weighting to obtain a quality value of the distorted stereoscopic image.

The invention relates to a deep sea video quality objective assessment model based on a spatial-temporal feature. The assessment model comprises the steps as follows: S1, a deep sea video sample set performs time domain learning, and extracts a feature vector based on a time domain dimension; S2, the deep sea video sample set performs spatial domain learning, and extracts a feature vector based ona spatial domain dimension; S3, the feature of the time domain is integrated with the feature of the spatial domain to form a final deep sea video quality classification data set; S4, classificationof a deep sea video quality classifier is semi-supervised; and S5, the deep sea video quality objective assessment model is built. The model has the advantage that the deep sea video quality objectiveassessment model is built, and an objective quality assessment service is provided for the public. The effect of various underwater image/ video enhancement algorithms applied to improving deep sea video quality is assessed, and the work efficiency based on deep sea video research is improved.

The invention discloses an objective assessment method based on voice enhancement algorithm subjective assessment. The method is a new objective combination method proposed by utilizing multi-linear regression analysis based on five voice enhancement objective assessment methods as follows: PESQ, LLR, CEP, fwSNRseg and fwSNRsegVar. An objective score for assessing the quality of a voice signal, an objective score for assessing the quality of background noise and an objective score for assessing overall quality are obtained by the combinations of different weighting coefficients and five objective methods. The subjective and objective correlation coefficients of the method are superior to a plurality of other traditional objective algorithms, the standard deviation of error is lower, and the assessment of performance of the voice enhancement algorithm is easier, therefore, the invention has great practical value.

The invention provides an enterprise BIM technology application capability quantification assessment method. The invention discloses an enterprise Building Information Modeling technology application capability assessment method. The method includes the following steps: defining the concept of enterprise BIM application capability; selecting and classifying impact factors of the enterprise BIM application capability; setting the weight of each impact factor; classifying levels of each impact factor; applying an enterprise BIM technology application capability assessment; and dividing the development stages of the enterprise BIM application capability. According to the invention, the method addresses the difficulty of quantification assessment of the enterprise BIM application capability by achieving the quantification assessment of the enterprise BIM application capability and provides accurate and objective assessment result and by providing a sustainable development route for the enterprise BIM application capability.

The invention discloses a method for hiding information in a bearing image. The method comprises an information hiding step at an image sending end and an information extraction step at an visual receiving end, wherein the information hiding step comprises a bearing image preprocessing step, and a step of hiding information bits by using the preprocessed bearing image; and the information extraction step adopts a process inverse to the information hiding step to implement extraction of the information bits. Meanwhile, the invention also provides an image quality evaluation method and an information transmission method implemented by adopting the information hiding method. By adopting the methods, the compression resistance of hidden information in the bearing image is improved, the information amount of information which can be hidden is further increased, and objective assessment of picture quality and secrecy transmission of information are realized.

The application discloses a credit evaluation method, device and system of a trading entity in an online trading platform. The method includes: acquiring historical transaction data corresponding to transaction entities in the online trading platform; extracting multiple sets of characteristic data from the historical transaction data with a plurality of predetermined characteristic dimensions, each of which includes at least one The predetermined characteristic corresponding to the above characteristic data; Substitute the characteristic data corresponding to the predetermined characteristic of the predetermined characteristic dimension into the corresponding preset reference model to obtain the characteristic value corresponding to the predetermined characteristic dimension, and the said transaction entity Characteristic values ​​of a plurality of predetermined characteristic dimensions form a characteristic vector representing the transaction entity; based on substituting the characteristic value of the characteristic vector into a preset evaluation model according to a predetermined algorithm, the credit value of the transaction entity is obtained. The credit evaluation method, device and system described in this application can objectively evaluate the credit value of transaction entities.

The invention discloses a method and a device for assessing video quality. The method comprises the steps of: grouping to-be-accessed videos based on video contents, wherein each video group comprises at least two to-be-accessed videos; based on a video grouping result, generating address information pointing at a playing interface comprising the at least two to-be-accessed videos, so as to synchronously play the at least two to-be-accessed videos based on the address information, and obtaining a subjective assessment result of each to-be-accessed video in the at least two to-be-accessed videos; respectively obtaining at least one assessment parameter of the to-be-accessed videos, wherein the at least one assessment parameter represents the quality of the videos; based on the at least one assessment parameter, and a weight coefficient preconfigured for each assessment parameter, obtaining an objective assessment result of the to-be-accessed videos; and based on the subjective assessment result and the objective assessment result of the to-be-accessed videos, obtaining a quality assessment result of the to-be-accessed videos.