395 results about "Test subject" patented technology

The invention relates to the technical field of blood pressure measurement, in particular to a cuff-free blood pressure continuous monitoring method based on ICG, PPG and ECG multi-mode physiological signals. According to the method, deep mining and fusion are carried out based on multi-modal physiological signals such as a chest impedance signal ICG, a photoelectric volume pulse wave signal PPG and an electrocardiosignal ECG of a tested object synchronously collected by multi-modal hemodynamics monitoring equipment, and a richer multi-modal feature matrix related to blood pressure changes is constructed; after deep learning fusion training is carried out on the constructed cuff-free blood pressure prediction model, prediction output of a cuff-free blood pressure prediction result can be directly carried out according to ICG, PPG and ECG multi-mode physiological signals of a to-be-detected tested object by means of the cuff-free blood pressure prediction model, the generalization ability and monitoring precision of continuous monitoring of the cuff-free blood pressure can be effectively improved, and the accuracy of continuous monitoring of the cuff-free blood pressure can be improved. The continuous, non-invasive and high-precision blood pressure monitoring requirements are met, and the clinical application value is more remarkable.

In various examples, circadian rhythm-based data augmentation for drowsiness detection systems and applications are provided. Embodiments described herein may produce an estimated circadian rhythm for a test subject and / or vehicle driver or other machine operator or occupant, and use the pattern of that circadian rhythm to correct, confirm, calibrate, or otherwise augment drowsiness assessments derived from video image data. The position of a person in the context of their process C circadian cycle may be used as indication of their level of drowsiness. An estimated process C circadian cycle may be used to generate more accurate ground truth training data for training machine learning models, and may be used by real-time, in-vehicle drowsiness detection systems that infer driver drowsiness levels based on captured images. In various embodiments, a circadian rhythm drowsiness estimate may be used to correct, calibrate, augment, and / or replace a drowsiness score predicted by a machine learning model.

In various examples, circadian rhythm-based data augmentation for drowsiness detection systems and applications are provided. Embodiments described herein may produce an estimated circadian rhythm for a test subject and / or vehicle driver or other machine operator or occupant, and use the pattern of that circadian rhythm to correct, confirm, calibrate, or otherwise augment drowsiness assessments derived from video image data. The position of a person in the context of their process C circadian cycle may be used as indication of their level of drowsiness. An estimated process C circadian cycle may be used to generate more accurate ground truth training data for training machine learning models, and may be used by real-time, in-vehicle drowsiness detection systems that infer driver drowsiness levels based on captured images. In various embodiments, a circadian rhythm drowsiness estimate may be used to correct, calibrate, augment, and / or replace a drowsiness score predicted by a machine learning model.

A mask-based diagnostic apparatus is provided for detecting a biomarker contained in exhaled breath of a test subject. An exhaled breath condensate (EBC) collector converts breath vapor received from the lungs and airways of the test subject into a fluid biosample. The EBC collector including a thermal mass, a condensate-forming surface and a fluid conductor disposed on the condensate-forming surface. A fluid transfer system receives the fluid biosample from the EBC collector. A biomarker testing unit receives the fluid biosample from the fluid transfer system and tests the fluid biosample for a target biomarker. A testing system support is provided for supporting the EBC collector, the fluid transfer system and the biomarker testing unit. The testing system support is configured and dimensioned to fit inside a face mask. A face mask is provided forming an exhaled breath vapor containment volume to hold the exhaled breath vapor in proximity to the EBC collector to enable the condensate-forming surface cooled by the thermal mass to coalesce the exhaled breath vapor into the fluid biosample.

The invention discloses a neural disease diagnosis system based on space-time attention and dynamic field self-adaption. The method belongs to the technical field of cross-modal medical data adaptive analysis. The technical problem that a brand new system capable of simultaneously fusing multi-modal information and modeling multi-scale spatial-temporal features and having dynamic field adaptive ability is urgently needed to improve the accuracy and generalization ability of intelligent diagnosis of multi-site nerve diseases is solved. The system comprises a data preprocessing module for extracting a standardized time sequence of a brain region from fMRI time sequence data; the two-channel feature coding network module obtains global features through an attention mechanism; according to the feature fusion and classification module, a main task classifier executes a main task and predicts whether a to-be-tested person suffers from nerve diseases or not, and a domain task classifier executes a domain task and predicts a site to which the to-be-tested person belongs; and the dynamic balance training module adjusts the dynamic balance of the main task and the domain task through a dynamic balance control strategy.

The invention discloses a psychological health education auxiliary system based on big data, and relates to the technical field of psychological health education, the psychological health education auxiliary system uses a camera to collect eye movement data, combines CNN to extract static features and LSTM to capture time sequence changes, improves anxiety detection objectivity, combines embedded online learning, short video watching or classroom scenes, and improves anxiety detection accuracy. Daily data collection is carried out, the anxiety trend is continuously tracked by adopting a dynamic analysis method, and the change of the psychological state is monitored and evaluated in real time; the psychological intervention content can be dynamically adjusted based on anxiety scores and personalized feedback strategies, for example, relaxation training, psychological adjustment videos or emotion evaluation questionnaires are pushed, so that psychological health education is more personalized, and invalid or generalized psychological education information is reduced; in addition, a reinforcement learning algorithm is introduced, recommendation content is continuously optimized through interaction data of a tested object, the intervention effect is improved, and psychological education resources can adapt to dynamic changes of individual psychological states.

A mask-based diagnostic apparatus is provided for detecting a biomarker contained in exhaled breath of a test subject. An exhaled breath condensate (EBC) collector converts breath vapor received from the lungs and airways of the test subject into a fluid biosample. The EBC collector including a thermal mass, a condensate-forming surface and a fluid conductor disposed on the condensate-forming surface. A fluid transfer system receives the fluid biosample from the EBC collector. A biomarker testing unit receives the fluid biosample from the fluid transfer system and tests the fluid biosample for a target biomarker. A testing system support is provided for supporting the EBC collector, the fluid transfer system and the biomarker testing unit. The testing system support is configured and dimensioned to fit inside a face mask. A face mask is provided forming an exhaled breath vapor containment volume to hold the exhaled breath vapor in proximity to the EBC collector to enable the condensate-forming surface cooled by the thermal mass to coalesce the exhaled breath vapor into the fluid biosample.

The invention discloses a hydrothermal coupling model test system and a hydrothermal coupling model test method for simulating a liquid nitrogen frozen stratum in different seepage environments. The system and the method are used for experimental research of a multi-physical field coupling effect of a test object in a large-seepage liquid nitrogen frozen stratum. The model test system comprises a liquid nitrogen freezing system, a flowing water seepage circulation system and a monitoring system, the liquid nitrogen freezing system is used for controlling the temperature of a liquid nitrogen freezing pipe embedded in a sand layer by changing the liquid nitrogen flow, so that the test sand layer is quickly frozen; the flowing water seepage circulation system simulates different underground water seepage speeds through a pressure pump, and the temperature of test water is kept constant through a heating rod. The monitoring system is used for recording the change trend of the temperature field and the seepage field in the liquid nitrogen stratum freezing process. According to the device, the ultra-low temperature effect of the liquid nitrogen is utilized to perform top-speed freezing on the sand layer under the high-flow-speed seepage environment, so that the freezing curtain can be effectively closed, and the evolution law of a large-seepage-flow stratum liquid nitrogen artificial freezing temperature field and a seepage field is obtained by simulating the liquid nitrogen stratum freezing process under different seepage environments; and a basis is provided for manual liquid nitrogen freezing construction of the large-seepage stratum.

Methods, systems, and software for estimating circulating tumor fraction are provided. A first plurality of nucleic acid sequences for a plurality of loci in genomic DNA from a solid tumor sample is obtained. A second plurality of nucleic acid sequences for a plurality of cell-free DNA fragments obtained from a liquid biopsy sample from the same subject is obtained. One or more somatic mutations is identified in the first plurality of nucleic acid sequences. A variant allele frequency (VAF) is determined for each somatic mutation based on a frequency of the respective somatic mutation in the liquid biopsy sample and a frequency of the corresponding wild type allele in the liquid biopsy sample, thereby determining a set of VAFs. An estimate of the circulating tumor fraction for the test subject is determined based on the set of VAFs for the one or more somatic mutations.

Systems and methods for determining a blood tumor mutational burden (bTMB) for a test subject are provided in which there is obtained, from a panel-enriched sequencing reaction, a plurality of nucleic acid sequences. The plurality of nucleic acid sequences comprises a corresponding sequence for each cell-free DNA fragment in a plurality of cell-free DNA fragments obtained from a liquid biopsy sample from the test subject. Each respective cell-free DNA fragment in the plurality of cell-free DNA fragments corresponds to a respective probe sequence in a plurality of probe sequences used to enrich cell-free DNA fragments in the liquid biopsy sample in the panel-enriched sequencing reaction. There is determined, using the panel-enriched sequencing reaction, that a circulating tumor fraction (ctFE) is above a threshold ctFE value. Responsive to this determination, the bTMB is calculated for the test subject from the panel-enriched sequencing reaction and reported.

A mask-based testing system for detecting a biomarker received from lungs and airways of a test subject includes an exhaled breath condensate (EBC) collector integrated into an inside of a face mask worn by the test subject. The EBC collector converts breath vapor received from the lungs and airways of the test subject into a fluid biosample. A biosensor is fixed to the inside of the face mask for receiving a fluid biosample from the EBC collector and testing the fluid biosample for a target analyte. The biosensor generates a test signal dependent on at least the presence and absence of the target analyte in the fluid biosample. An electronic circuit is fixed to an outside of the mask for receiving the test signal, determining from the test signal a test result signal depending on detecting or not detecting the target analyte, and transmitting the test result signal to a remote receiver.

Methods, systems, and software are provided for predicting care pathway options for a medical condition in a test subject. In one implementation, a method includes retrieving a set of characteristics of the test subject from an electronic medical record for the test subject, retrieving data from a system modeling human tissue, and providing information comprising the set of characteristics from the electronic medical record and the data from the system modeling human tissue to an artificial intelligence (AI) component to receive as output from the AI component one or more care pathways for the medical condition.

The invention relates to a multi-mode-based micro-expression recognition method, which comprises the steps of acquiring data to obtain a face image and a depth image, preprocessing the data to remove redundant information and obtain an optical flow graph and depth difference information, training a model, deploying the model and the like. The data acquisition module is also used for acquiring data of a to-be-recognized object and inputting the data into the trained micro-expression recognition model; and finally, the identification model outputs a prediction result of the to-be-identified data. According to the multi-modal-based micro-expression recognition system method, analysis can be carried out according to image data of the test object, the micro-expression state of the test object can be automatically classified and recognized, and compared with a single-modal recognition system and method, the performance is better.

A system may include a headset device comprising a display screen positioned proximate to, or within a viewable distance from a user's eyes. The headset device may be communicatively coupled to one or more processors. The system may cause the one or more processors to display a stimulus to a test subject (e.g., a patient), store in computer memory a response of the test subject to the displayed stimulus, analyze the response based on a location of the displayed stimulus, and provide feedback to the test subject based on the response and analysis.

The invention provides an artificial cochlea objective debugging method and system based on wide-spectrum natural sound evoked electroencephalography, and the method comprises the steps: collecting an auditory electroencephalogram of a tested person under the stimulation of wide-spectrum natural scale sound synthesized by a plurality of vocoders, and carrying out the preprocessing of the auditory electroencephalogram, and obtaining an auditory electroencephalogram data set; training the deep learning network model by using data in the auditory electroencephalogram data set to obtain a trained deep learning network model; the deep learning network model is provided with two convolution layers for extracting features including time frequency and channel information of an auditory electroencephalogram, and is provided with a full connection layer for classification to obtain scale sound sensing electroencephalogram decoding and prediction accuracy; and quantizing different vocoder algorithm performances according to the obtained scale sound sensing electroencephalogram decoding and prediction accuracy, and objectively debugging the artificial cochlea based on the quantized different vocoder algorithm performances.

The invention discloses an epilepsy detection method, system and equipment based on electroencephalogram signals and a medium, and relates to the technical field of electroencephalogram signal processing. The method comprises the following steps: preprocessing multichannel original electroencephalogram signals of a detector, and constructing a graphic structure for describing spatial features of the electroencephalogram signals; the graphic structure comprises nodes and connecting lines, the nodes represent channels, and the connecting lines represent correlation coefficients between the channels; determining a final epilepsy detection result according to the graphic structure and an epilepsy detection model; the epilepsy detection model comprises a graph attention network, a Transform network and a Softmax classifier which are connected in sequence; wherein the graph attention network is used for aggregating spatial features between channels, the Transform network is used for extracting time features, and the Softmax classifier is used for carrying out binary epilepsy classification. The detection accuracy can be improved.

Methods, systems, and software are provided for estimating a circulating tumor fraction (ctFE) for a test subject. Sequence reads are obtained from a panel-enriched sequencing reaction, including sequences for cfDNA fragments corresponding to probe sequences and sequences for cfDNA fragments not corresponding to probe sequences. Bin coverage values are determined from the sequences. Segments are formed by grouping adjacent bins based on similar coverage value and segment coverage values are determined based on bin coverage values for bins mapping to each segment. For each simulated ctFE in a plurality of ctFEs, segments are fitted to an integer copy state by identifying the integer copy state that best matches the segment coverage value. The circulating tumor fraction for the test subject is determined using error optimization between segment coverage values and integer copy states across the simulated ctFEs.

The invention discloses a signal identification method and system, electronic equipment and a storage medium. The method comprises the following steps: acquiring an original electroencephalogram signal of a test object; performing feature extraction on the original electroencephalogram signals, and constructing an initial feature matrix of the original electroencephalogram signals; reconstructing the initial feature matrix based on module parameters of a plurality of target hardware modules in the signal recognition device to obtain a target feature matrix, the target feature matrix satisfying processing conditions of the plurality of target hardware modules, and the data dimension of the target feature matrix being greater than the data dimension of the initial feature matrix; the target feature matrix is input into a signal recognition device, the original electroencephalogram signals are recognized through the signal recognition device, a signal recognition result is obtained, and the signal recognition result is used for representing the behavior intention of the test object. The technical problem that the operation speed of electroencephalogram signal recognition is low in the prior art is solved.

The invention relates to a kit for diagnosing non-small cell lung cancer as well as a use method and application thereof, and belongs to the field of biological medicines. The kit comprises reagents required by RNA extraction and reverse transcription, and a PCR amplification system containing primers and probes for respectively and specifically targeting SFTPA1 and SFTPA2 genes, wherein the PCR amplification system comprises primers and probes for respectively and specifically targeting SFTPA1 and SFTPA2 genes; the 5'end of the probe is provided with a fluorophore, and the 3 'end of the probe is provided with a quenching agent; the probe and the primer are designed based on specific regions of SFTPA1 and SFTPA2 genes, so that high specificity and high sensitivity of the probe and the primer in gene expression detection are ensured. The use method of the kit comprises the following steps: extracting RNA (Ribonucleic Acid) in a detection sample, reversely transcribing the RNA into cDNA (Complementary Deoxyribose Nucleic Acid), detecting the expression levels of the SFTPA1 and SFTPA2 genes by utilizing a qPCR (Quantitative Polymerase Chain Reaction) technology or a dPCR technology, and finally, preliminarily diagnosing whether a detection object suffers from the non-small cell lung cancer or not by comparing the expression differences of the SFTPA1 and SFTPA2 genes of the detection object and healthy people and non-small cell lung cancer patients. The invention provides a reliable tool for early diagnosis and individualized treatment of the non-small cell lung cancer.

A method for generating speech includes uploading a reference set of features that were extracted from sensed movements of one or more target regions of skin on faces of one or more reference human subjects in response to words articulated by the subjects and without contacting the one or more target regions. A test set of features is extracted a from the sensed movements of at least one of the target regions of skin on a face of a test subject in response to words articulated silently by the test subject and without contacting the one or more target regions. The extracted test set of features is compared to the reference set of features, and, based on the comparison, a speech output is generated, that includes the articulated words of the test subject.

The present invention relates to a multi-luminance visual navigation test field for performing a vision test on a test subject. The multi-luminance visual navigation test field comprises: a test map, which can be operated to form a plurality of test scenes, each of which is provided with a preset walking route; a plurality of static obstacles, which are arranged on the test map and are used to form obstacles on the test map to hinder the test subject's progress; and a light source assembly, which is used to provide a plurality of light intensities. The multi-luminance visual navigation test field solves the problem in the prior art that the route design of the MLMT scheme is a full white background and arrows are used to indicate the direction of travel, but since most RP patients have extremely low vision and show decreased panretinal light sensitivity mainly due to rod cell damage, the problem that patients have difficulty distinguishing route markings and thus have difficulty in detection is solved. The multi-luminance visual navigation test field has a wide range of applications, low cost and higher detection accuracy.

The invention belongs to the technical field of computers, and particularly discloses a programming knowledge tracking method based on code prediction enhancement, and the method comprises the steps: extracting embedded representations based on historical programming questions and corresponding historical programming answers, and obtaining historical question embedded representations and historical answer embedded representations; based on the embedded representation of the historical question, the embedded representation of the historical answer and the embedded representation of the target programming question, the embedded representation of a source code input by the tested object for the target programming question is predicted through a multi-head attention mechanism model, and the predicted embedded representation of the source code serves as a programming answer prediction result; on the basis of the embedded representation of the target programming question, the programming answer prediction result and the current knowledge state of the tested object, the correct answer probability of the tested object for the target programming question is predicted, and the current knowledge state is obtained by analyzing time sequence evolution of the knowledge state on the basis of historical programming answers of the tested object. Through the method, the programming performance of the learner can be accurately predicted.

A device, system and methodology for horizontal gaze nystagmus (HGN) testing. Prior to a test subject taking an action that is verboten in an impaired state, such as driving a vehicle or operating complex or dangerous machinery, the test subject is positioned within a face recognition box of a screen and a HGN simulation test performed, capturing HGN eye movements of the test subject from which the present HGN physiological state of the test subject is determined. The present HGN physiological state of the test subject is compared to a reference HGN state to determine whether the test subject is impaired. Impairment causes temporary restriction of the functionality of the machinery or vehicle.

The invention discloses a flight safety warning method based on pilot operation intention recognition, which comprises the following steps: S1, collecting EEG data of a subject in each stage of simulated flight through an electroencephalogram signal data collection device; s2, carrying out preprocessing operation on the collected EEG data; s3, extracting and fusing the electroencephalogram signals by constructing a convolutional gradient attention network, and mapping fused features to an operation intention of a pilot; s4, calculating safety risk factors according to the deviation between the flight state and the preset flight envelope, the pilot operation intention and the external environment factors; s5, comparing the risk factor with a preset risk threshold, and dividing the risk into a high level, a middle level and a low level; and S6, the cockpit touch alarm system triggers multi-mode alarm in the cockpit according to the risk level, and adjusts the flight state in real time. The flight accident risk caused by human factors can be reduced, and the aviation safety is improved.

The invention discloses a state evaluation early warning device and method based on multiple modes, and relates to the technical field of psychological evaluation. According to the invention, the physiological signal acquisition sensor is used for acquiring physiological signal data and processing the data; based on the incidence relation among the sensors, the wearing states are recognized by combining a deep convolutional neural network and an autocorrelation algorithm, and the wearing states are divided into correct wearing, incorrect wearing and non-wearing; collecting answers of the tested person based on the test question bank, and converting the answers into text contents through a voice recognition algorithm; analyzing an anti-test behavior in combination with the action signal, and judging that the anti-test behavior exists when the answer is abnormal or the action exceeds the limit; carrying out band-pass filtering and feature extraction on the physiological signals in the effective time period, and carrying out weighted calculation on a scoring result; a decision tree algorithm is combined with historical data for optimization, and dynamic adjustment is achieved.

The utility model relates to the field of brain electrodes, in particular to an electroneurographic signal acquisition and stimulation unit capable of shortening implantation duration, which comprises an electrode wire, an electroneurographic signal acquisition and stimulation unit and an electroneurographic signal acquisition and stimulation unit, the curing assembly is used for wrapping and restraining the roots of the electrode wires, so that the adjacent electrode wires are kept parallel to each other; the shaping part is made of a material which can be dissolved in the process of implanting the electrode wire into the brain area and is used for being solidified at the connecting part of the solidifying assembly and the electrode wire so as to wrap and restrain the electrode wire; wherein the part, exposed on the outer side of the shaping piece, of the electrode wire is straight, the part, restrained on the inner side of the shaping piece, of the electrode wire is bent, and the electrode wire has the elastic force for restoring to be straight after being released from the inner side of the shaping piece. According to the embodiment of the utility model, on the premise that the length of the electrode wire is not shortened, the length of the shaping piece is shortened, so that the speed of completely dissolving the shaping piece is accelerated, and the total time of implanting the electrode wire is further reduced.

To provide an autonomous testing device for generating an object description described in a time-phase logic expression, and autonomously performing a test using the generated object description related to autonomous performance when a test object is changed in model checking.SOLUTION: An autonomous testing device 100 for executing model testing is provided with a test execution determining unit 90 and a time-phase logic expression generating unit 50. The test execution determining unit 90 determines whether or not to execute a test for a test target by using a test execution status for a target function and product update information that is information indicating the version of the target function. The time-phase logic expression generating unit 50 generates the object description of a time-phase logic expression by using multiplicity information indicating the multiplicity of each stereotype corresponding to each product included in the test object, metamodel information indicating the relationship between each operand name and each stereotype, and pattern information indicating the relationship between a template of the time-phase logic expression and a description rule of the object of the time-phase logic expression.SELECTED DRAWING: Figure 1

To determine an auditory threshold of a test subject, according to the method, multiple tone sets, which predominantly contain a plurality of noises, having properties remaining uniform within a tone set, are presented in succession to a test subject by use of an output transducer. The test subject is asked to indicate a perceived number of noises from the presented tone set after each presentation of one of these tone sets. As a function of the perceived number of noises, a property of at least one part of the noises is changed in relation to the preceding tone set for the presentation of a following tone set and the following tone set is presented to the test subject. As a function of the respective perceived number of noises in the presented tone sets, at least one value of the auditory threshold of the test subject is estimated.

The invention discloses a primary hypertension risk assessment method based on infrared thermal imaging. The method comprises the following steps: (1) respectively taking two-hand infrared thermograms of a healthy subject, a hypertension patient and a hypertension patient before and after cold stimulation by adopting a medical infrared thermal imager; (2) analyzing hand infrared thermograms before and after cold stimulation of a healthy subject, a hypertensive patient and a hypertensive patient so as to reflect vascular reactivity and blood perfusion states of hands of the healthy subject, the hypertensive patient and the hypertensive patient; and (3) taking hand infrared thermograms of the to-be-tested subject before and after cold stimulation by adopting a medical infrared thermal imager, and obtaining a judgment result according to the vascular reactivity and blood perfusion state of the hand. According to the invention, a medical infrared thermal imager is utilized to shoot infrared thermograms of hands of a subject before and after cold stimulation, so that vascular reactivity and blood perfusion states are visually reflected in a non-contact, real-time and visualized manner, and finally, the purpose of evaluating the risk of primary hypertension is achieved.

A hand portable screen includes three portions connected in series relation, each portion having a camera for capturing image data from a field of view in front of a front surface of the respective portion of the screen. The screen is free standing when configured in an upright use position on a horizontal surface, e.g. a tabletop, so that the three front surfaces form three sides of a forwardly open recess. The side portions may be adjustable to converge the fields of view on a user sitting in front of the screen, for example, during an edible product test. Microphones may be provided, optionally in-ear, to capture sound data simultaneously with the image data from the cameras. The screen may be deployed to provide an individual test environment, for example, for testing snack food in an informal location.