Abstract: The present invention relates to an electrochemical sensing intelligent chamber with integrated environmental parameters, comprising a chamber body of the intelligent chamber for electrochemical sensing and detection. A communication control unit, a temperature monitoring unit, a gas detection unit and an electrochemical sensing and detection unit are arranged in the chamber body. An environmental parameter monitoring unit that can monitor temperature and gas is integrated; and all monitored environmental variables may be uploaded to a smart phone for a user to view. Operation steps in the electrochemical sensor measurement process conducted in the chamber body are fully automated.

Abstract: A brain organoid containing optic vesicles generated based on H9 induction and an eye-brain fusion culture method thereof are provided. H9 embryonic stem cell induction is used to generate a brain organoid containing optic vesicles with primitive visual field. Based on an established optic vesicle brain organoid culture system, microscopic imaging is combined with specific marker antibodies related to early retinal development and photoreceptor cell maturation to structurally and functionally identify the brain organoid containing optic vesicles.

Abstract: An application of carbasalate calcium in preparing the drug for the treatment of hydrocephalus is provided, and the drug uses carbasalate calcium as the only or main active ingredient. The invention first discovered the effect of carbasalate calcium in the treatment of hydrocephalus, which can significantly reduce the area of the fourth ventricle of the zebrafish model of hydrocephalus, and significantly increase the swimming distance, swimming time, swimming speed, and rotational motion frequency of the zebrafish model of hydrocephalus; the experimental data provided by the invention show that carbasalate calcium has great application prospects in the treatment of hydrocephalus, and provides an effective candidate drug for alleviating the pain of hydrocephalus patients and reducing the risk and cost of treatment; it broadens the scope of action of carbasalate calcium.

Abstract: A multi-modal data acquisition and hydrocephalus diagnosis method based on CSF circulation is provided. Firstly, after performing a lumbar puncture for the patient, the lumbar puncture needle is connected to a pressure sensor and a micro pump, and then, the intracranial pressure baseline of the patent is collected for 5 min, the micro pump is started, and the patient is infused with normal saline at a rate of 1 cc/min until the patient's intracranial pressure reaches the ICP plateau, during the period, multiple physiological parameters such as intracranial pressure and heart rate are monitored; finally, the collected parameters such as intracranial pressure are substituted into the established physical model of CSF circulation, and the CSF kinetic parameters such as CSF absorption resistance are calculated for auxiliary diagnosis.

Abstract: Disclosed is an elastic electroencephalography dry electrode, comprising an electrode base and a plurality of dry electrode units, which are fixedly arranged on the electrode base, wherein each dry electrode unit comprises an elastic supporting element and at least one electrode probe element; one end of the elastic supporting element is fixed to the electrode base, and the other end thereof is connected to the electrode probe element; the electrode probe element is used for being in contact with a scalp to collect an electroencephalography signal; the elastic supporting element is used for transmitting the electroencephalography signal; and the electrode base comprises an electrode substrate element, an electrode unit fixing element and an electrode displacement limiting element. Further disclosed are an electroencephalography device and an application system.

Abstract: A target recognition method based on an electroencephalogram (EEG) signal in a natural reading environment is provided, including: presenting a fuzzy semantic target to a subject through a user interaction window on a display device; acquiring EEG signals of the subject via a wireless EEG acquisition device to obtain a target EEG signal corresponding to the fuzzy semantic target; determining a binary classification result corresponding to the fuzzy semantic target based on the target EEG signal through a trained EEG classification model; in response to the binary classification result indicating that the fuzzy semantic target is recognized, determining a semantic category to which the fuzzy semantic target belongs; and controlling, based on the semantic category, the display device to highlight annotations on the user interaction window; wherein highlighting annotations includes highlighting a text or an image related to the fuzzy semantic target and displaying associated information of the semantic category.

Abstract: A human-computer interaction method, a human-computer interaction apparatus, and a storage medium are provided. The method includes: displaying a human-computer interface, where the human-computer interface includes an operable object and a visual stimulus region; and executing a first operational command on the operable object, where the first operational command is determined based on a first signal, the first signal is an electroencephalography signal generated when a user gazes at a first region, the first region is one of a plurality of regions around the visual stimulus region, different electroencephalography signals are generated when the user gazes at different regions of the plurality of regions, and the different electroencephalography signals indicate to execute different operational commands related to the operable object.

Abstract: A brain organoid containing optic vesicles generated based on H9 induction and an eye-brain fusion culture method thereof are provided. H9 embryonic stem cell induction is used to generate a brain organoid containing optic vesicles with primitive visual field. Based on an established optic vesicle brain organoid culture system, microscopic imaging is combined with specific marker antibodies related to early retinal development and photoreceptor cell maturation to structurally and functionally identify the brain organoid containing optic vesicles.

Abstract: A method for processing gait information can be applied in inertial sensing and intelligent medical technology for Parkinson's disease. The method includes: detecting the motion state of a target object in response to receiving confirmation information indicating that the target object has taken the target medication; when the target object is walking, collecting gait information during straight-line walking; in response to detecting that the target object transitions from straight-line walking to another type of gait, and the number of gait information collections exceeds a predetermined threshold, processing the collected gait information with a target function to obtain gait parameters; and finally sending the gait parameters to a mobile communication terminal for further abnormality detection.

Abstract: Embodiments of the present disclosure provide a target recognition method based on an electroencephalogram (EEG) signal in a natural reading environment. The method includes steps 1-6. Step 1 includes determining a fuzzy semantic target recognition paradigm by selecting a stimulus material and designing an experimental Block. Step 2 includes performing an EEG experiment and acquiring the EEG signal according to the fuzzy semantic target recognition paradigm. Step 3 includes assessing quality of the acquired EEG signal and constructing an EEG database by combining a corresponding label. Step 4 includes obtaining a preprocessed EEG signal by performing preprocessing on the EEG signal in the EEG database. Step 5 includes performing feature extraction on the preprocessed EEG signal. Step 6 includes establishing an EEG classification model, and training and testing the established EEG classification model to recognize and classify a fuzzy semantic target in the natural reading environment.

Abstract: An emotional impact analysis system based on carbon dioxide exposure is provided, including a closed experimental space, a high-pressure gas cylinder filled with pure carbon dioxide and a carbon dioxide analyzer, an emotional stimulation and feedback device, a biosensor acquisition device and an analysis device; the analysis device is connected with the carbon dioxide analyzer, the emotional stimulation and feedback device and the biosensor acquisition device, and is arranged outside the closed experimental space.

Abstract: The present innovation unveils a non-invasive in vivo intracranial pressure (ICP) monitoring device and method relying on meningeal absorbance changes. Comprising a signal excitation module, spectral data acquisition module, and data processing module, the device incorporates a laser and optical parametric oscillator in the signal excitation module. Optical path adjustments are facilitated by concave lenses and convex lens mirrors between the laser's output and the optical parametric oscillator's input. The optical parametric oscillator's output is equipped with a coaxial lens group and a fiber bundle. This approach ensures non-invasive ICP monitoring, providing ease of use, precision, reliability, and continuous dynamic monitoring, significantly reducing patient discomfort during ICP monitoring. The method offers an objective foundation for disease diagnosis, condition assessment, and the formulation of effective diagnosis and treatment strategies, showcasing substantial clinical potential.

Abstract: The current innovation pertains to the medical data processing domain and introduces a method for formulating an iNPH prediction model using a new/old stimulus BCI paradigm. The process involves conducting new/old stimulus BCI paradigm experiments on a target population both before and after the Lumbar Tap Test, obtaining electroencephalogram (EEG) signal data. After preprocessing the EEG signal data, the model extracts features related to new and old stimulus event-related potentials before and after the test, specifically focusing on P600 amplitude features. The iNPH prediction model is then trained based on these event-related potential features. This innovation facilitates quantifying cognitive function improvement, aiding physicians in prompt iNPH diagnosis and enabling timely and effective patient treatment.

Abstract: The present invention relates to the technical field of medical data processing, and discloses an iNPH prediction method based on a visual Oddball paradigm, comprising: performing the same visual Oddball paradigm experiments on a target population before and after the target population undergoes LTT, and obtaining an electroencephalography (EEG) signal data; Pre-processing the EEG signal data, and obtaining an event-related potential feature, the event-related potential feature being a P300 amplitude feature; Based on the event-related potential feature, the iNPH prediction model is trained to obtain the iNPH prediction model.

Abstract: The present disclosure provides a drain-gate voltage excitation and source-drain current acquisition system and method for gas-sensitive organic field effect transistors (OFETs). The system includes an acquisition device and a gas-sensitive OFET array. The device includes a microcontroller module, a power supply management module, a voltage excitation module, a voltage regulation module, a transimpedance amplifier (TIA) module, a fully-differential low-side current detection module, a voltage acquisition module, a signal transmission module and an array switching module. In the present disclosure, the real-time monitoring of various harmful gases and the performance testing of the gas-sensitive OFETs are realized. The device has two current detection modes, thereby not only stabilizing drain electric potentials, but also enabling drain-source currents to be measured with sufficient accuracy.

Abstract: The invention discloses a parametric system for testing a capability of auditory spatial positioning and a method of providing a parametric minimum audible angle. The system includes: an host computer system calculating spatial movement data and communicating with a slave computer; a spatial movement system realizing control of any spatial position through circumferential movement, radial movement and vertical movement; a real-time three-dimensional display system built into the host computer system; an audio system randomly generates a type of audio data of a sound source and a sound source with equal-difference decibels; and a test system for matching human spatial positioning results to sound source spatial data and providing an objective evaluation. The invention further provides a method of providing a parametric minimum audible angle for a capability of auditory spatial positioning, the invention improves the control accuracy.

Abstract: The present invention discloses a BNP aptamer fluorescence detection device based on a smart phone and a sensing method thereof, including a detection control mechanism, a fluorescence rapid detection mechanism and an aptamer fluorescence sensor. The aptamer fluorescence sensor uses oligonucleotides marked by carboxy fluorescein as an aptamer to capture the BNP specificity. The detection control mechanism receives a fluorescence signal to display test results. The fluorescence rapid detection mechanism uses the OTG function as a plug-in power supply. The present invention fills the gap of portable fluorescence detection for digital BNP.

Abstract: The present disclosure discloses an automatic detection system for depressive disorder based on high frequency ASSR. The system includes an auditory stimulation module, a data acquisition module, a signal processing module, a depression detection module and an output module; the auditory stimulation module presents 40 Hz frequency-increasing sound stimulation signals to a user; the data acquisition module acquires EEG signals by a non-intrusive method for preprocessing to obtain ASSR data; the signal processing module extracts depressive disorder-related EEG features from the ASSR data; the depression detection module identifies a user depression state through decision fusion of the depressive disorder-related EEG features; and the output module identifies the user depression state according to the EEG features to generate an evaluation report for abnormity in EEG response, and feeds it back to the user.

Abstract: Disclosed is an elastic electroencephalography dry electrode, comprising an electrode base and a plurality of dry electrode units, which are fixedly arranged on the electrode base, wherein each dry electrode unit comprises an elastic supporting element and at least one electrode probe element; one end of the elastic supporting element is fixed to the electrode base, and the other end thereof is connected to the electrode probe element; the electrode probe element is used for being in contact with a scalp to collect an electroencephalography signal; the elastic supporting element is used for transmitting the electroencephalography signal; and the electrode base comprises an electrode substrate element, an electrode unit fixing element and an electrode displacement limiting element. Further disclosed are an electroencephalography device and an application system.

Abstract: Embodiments of this application provide a human-computer interaction method, a human-computer interaction apparatus, and a storage medium. The method includes: displaying a human-computer interface, where the human-computer interface includes an operable object and a visual stimulus region; and executing a first operational command on the operable object, where the first operational command is determined based on a first signal, the first signal is an electroencephalography signal generated when a user gazes at a first region, the first region is one of a plurality of regions around the visual stimulus region, different electroencephalography signals are generated when the user gazes at different regions of the plurality of regions, and the different electroencephalography signals indicate to execute different operational commands related to the operable object.