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: A method of over-heating protection for a charging apparatus, includes: measuring a charging parameter of the charging apparatus during a charging process, where the charging parameter includes a temperature and a time corresponding to the temperature; estimating a temperature change trend of the charging apparatus based on the charging parameter; and when determining, based on the temperature change trend, that a highest estimated temperature exceeds an upper limit of a preset temperature range, limiting a charging current for the charging apparatus before an estimated temperature exceeds the upper limit of the preset temperature range.

Abstract: An end-member extraction method based on segmented VCA, includes: conducting rough segmentation on a hyperspectral image by using an unsupervised classification method to partition image elements having a similar substance into the same block; conducting end-member extraction on an area in each partitioned block by using VCA, inverting the abundance by using a least square method after the end-member extraction, and determining one main end-member for each block according to the abundance value; and extracting the main end-members in all blocks and forming an end-member matrix of a global image. The VCA end-member extraction method is used in relatively simple partitioned environment blocks, and the main end-members in the blocks are then controlled by using the abundance inversion result feedback in the blocks, so as to prevent missing main end-members.

Abstract: Disclosed is an air supply system for a whole vehicle, which is intended to solve the technical problem that it is hard to provide a multi-position and controllable air supply solution for an electric vehicle. A first air source device, a control valve and a pipeline constitute a first-type air supply system, the first-type air supply system has multiple air passages, each air passage is respectively provided with an air supply port, and a controller can switch operating states of the control valve, control the opening or closing of the multiple air passages, and achieve controllable air supply effects in multiple positions.

Abstract: The present invention discloses an end-member extraction method based on segmented VCA, comprising: conducting rough segmentation on a hyperspectral image by using an unsupervised classification method to partition image elements having a similar substance into the same block; conducting end-member extraction on an area in each partitioned block by using VCA, inverting the abundance by using a least square method after the end-member extraction, and determining one main end-member for each block according to the abundance value; and extracting the main end-members in all blocks and forming an end-member matrix of a global image. In the present invention, the VCA end-member extraction method is used in relatively simple partitioned environment blocks, and the main end-members in the blocks are then controlled by using the abundance inversion result feedback in the blocks, so as to prevent missing main end-members.

Abstract: An air supply system for a whole vehicle, which is intended to solve the technical problem that it is hard to provide a multi-position and controllable air supply solution for an electric vehicle. A first air source device, a control valve and a pipeline constitute a first-type air supply system, the first-type air supply system has multiple air passages, each air passage is respectively provided with an air supply port, and a controller can switch operating states of the control valve, control the opening or closing of the multiple air passages, and achieve controllable air supply effects in multiple positions.