14 results about "Acute stroke" patented technology

The present invention provides an early intelligent screening and warning method and system for acute stroke based on deep learning, which relates to the field of medical imaging and artificial intelligence technology, including obtaining multi-phase angiography images of the patient's brain through a pulsed dynamic imaging scheme, extracting hemodynamic characteristics using a dual-stream feature extraction network, and constructing a vascular lesion risk distribution map in combination with a vascular structure analysis model to mark potential embolism risk areas. Further, combining tissue perfusion parameters obtained by multispectral imaging and brain tissue function parameters obtained by electroencephalogram signals, an adaptive threshold segmentation model is used to identify the ischemic penumbra area. Finally, based on the ischemic penumbra area, tissue perfusion parameters, and brain tissue function parameters, a hierarchical decision model with a spatiotemporal attention mechanism is used to calculate the risk level and generate a corresponding clinical intervention plan. The present invention can achieve early and accurate screening and risk warning of acute stroke, and improve the efficiency of clinical intervention.

The invention discloses a system for simulating a stroke process in combination with virtual reality. The system comprises a pathology demonstration unit, a function evaluation unit, a treatment planning unit, a decision collaboration unit and a process tracing unit. The pathology demonstration unit adopts a multi-scale hemodynamic model to realize virtual reality simulation of a stroke lesion process; the function evaluation unit performs neural function quantitative evaluation based on deep learning and computer vision technologies; the treatment planning unit makes a scheme through a rule engine and multi-objective optimization; the decision cooperation unit realizes multi-party real-time consultation and opinion fusion; and the process tracing unit adopts a block chain technology to ensure the traceability of the decision-making process. The method provides systematic technical support for diagnosis and treatment decision of acute stroke, and has important clinical application value.

A method (84) for stroke onset alert for a continuous positive airway pressure (CPAP) system (12) comprises providing (86), via a blower (14) and a patient circuit (16), a pressurized flow of breathable gas to a patient interface device (18) configured for being worn by a subject (20). The method includes monitoring and recording (88), via a monitoring unit (28) integral with the patient interface device, a predetermined set of vital signs and physical symptoms of the subject relating to an onset of acute stroke attack or stroke episode during the delivery of the pressurized flow of breathable gas. In addition, the method comprises identifying (90), via a stroke onset detection module (34), an onset of stroke based on an analysis of the monitored and recorded set of vital signs and physical symptoms and outputting (92), via a stroke onset alert module (36), a stroke onset alert signal based on the identification of the onset of stroke via the stroke onset detection module.

The invention provides a method for quantifying a water content ratio, which comprises the following steps of: scanning a brain by using first energy and second energy through dual-energy CT (Computed Tomography) equipment to generate plain scanning data of each voxel; setting the three substances of the dual-energy tomography three-substance separation mathematical model as water, grey matter and white matter; processing the plain scanning data of each voxel by using the dual-energy tomography three-substance separation mathematical model to obtain enhanced data of each voxel; and calculating the water content percentage of each voxel according to the enhancement data of each voxel. The method for quantifying the water content can quantify the water content of the encephaledema tissue of the acute stroke patient, and further quantify the edema proportion of the encephaledema tissue. The invention further provides a water content ratio quantifying device, a tomography system and a storage medium which relate to the method.

The application discloses a stroke prediction method and device based on a cerebrovascular image feature group, a medium and a product, relates to the field of image processing, and comprises the following steps: constructing a clinical database; constructing a clinical cause classification prediction model according to multi-modal image feature group data, clinical feature data and patient clinical cause classification; determining cerebrovascular image features by adopting a cerebrovascular tissue segmentation model and voxel-based morphological analysis according to TOF-MRA, and performing positioning diagnosis on a responsible blood vessel area according to the cerebrovascular image features; and constructing a stroke recurrence risk prediction model according to the cerebrovascular image features in the TOF-MRA, SWI, T1WI, T2-FLAIR and corresponding clinical feature data. The application can quickly and accurately realize cause classification of an acute stroke patient in a clinical scene, accurately identify a responsible blood vessel, and realize recurrence risk prediction in an early stage of the disease.

The present invention discloses a vehicle-mounted, ultra-low-field brain magnetic resonance imaging system specifically designed for stroke, which relates to the field of medical magnetic resonance imaging and includes a carriage body, a stretcher disposed within the carriage body, a wheel body connected to the bottom end of the stretcher, a magnetic resonance magnet unit disposed at one end within the carriage body, an equipment cabinet mounted above the magnetic resonance magnet unit, and two chutes disposed at the bottom end of the carriage body, spaced equidistant from the wheel body. The two chutes are parallel to each other, and both have internal locking structures for sliding against the wheel body. The present invention uses a dedicated ultra-low-field brain magnetic resonance imaging system to directly travel to the patient's residence for stroke diagnosis, thereby buying valuable time for the treatment of acute stroke. A clamping structure is designed within the ambulance to clamp the stretcher wheel, allowing the patient's head to enter the magnetic resonance magnet unit more smoothly and accurately as the stretcher continues to move forward.

The invention is suitable for the technical field of medical rescue, and provides a dynamic allocation method and system based on a cerebral apoplexy first-aid map, and the method comprises the steps: firstly obtaining the real-time position information of a target patient, then rapidly determining the information of at least one target hospital according to the real-time position information and a preset cerebral apoplexy first-aid map, and obtaining the information of the at least one target hospital; according to the real-time position information and the geographical position information, treatment path information is effectively generated, and finally the treatment path information is sent to a rescue dispatching center in time. According to the method, the stroke treatment hospital most suitable for the specific target patient can be automatically identified, the acute stroke patient in the jurisdiction is ensured to be treated in time in the shortest time by adopting the dynamic planning and optimal scheduling strategy, the emergency scheduling effect is effectively improved, and the success rate of stroke treatment is improved.

The invention relates to the technical field of cell therapy, and particularly discloses a mesenchymal stromal cell drug and application thereof in treating acute cerebral apoplexy. The invention provides a cell drug, the cell drug comprises mesenchymal stromal cells and pharmaceutically acceptable auxiliary materials, compared with stem cells, the expression level of mRNA encoding self-renewal and differentiation in the mesenchymal stromal cells is negative, and the expression level of mRNA encoding self-renewal and differentiation in the stem cells is negative. The proportion of the mesenchymal stromal cells in the cell medicine is 90% or above. The cell medicine follows the characteristics and the action mechanism of stromal cells, homes at a new blood vessel formed by endothelial cells of an injured part in an effective time window, plays roles in promoting / maintaining the new blood vessel and remodeling the microenvironment of the injured part, fully ensures the safety and the effectiveness of disease treatment, and has a wide application prospect. And a new method is provided for diagnosis and treatment of related diseases.

A method for stroke detection is provided. A data capture module captures input data from a plurality of sensors, in response to user assessment instructions for a person to look at one or more camera, perform one or more arm exercises, and perform one or more speech acts. A perception module generates summaries of the input data corresponding to artifacts associated with one or more machine learning models. A classification module accepts as input the input data from the data capture module and the summaries from the perception module. Based on the input data and the summaries, a classification module assigns a stroke classification label and a corresponding probability. The classification module outputs a recommendation according to the stroke classification label and the corresponding probability.

This invention relates to a method for early identification and screening of acute stroke based on multimodal fusion technology. The method includes step 1: initializing a multimodal inference model, whose output data includes an acute stroke risk assessment, localization analysis of abnormal signs, and targeted early intervention and prognostic recommendations; step 2: collecting and inputting the patient's bio-audio data, bio-video data, and clinical text data into the multimodal inference model; and step 3: based on the acquired multimodal data of the patient, outputting the acute stroke risk assessment result, a localization analysis report based on abnormal signs, and targeted early intervention and prognostic recommendations. This method for early identification and screening of acute stroke enables simple, accurate, and efficient self-examination of acute ischemic stroke in the very early stages, facilitating timely medical attention within the reperfusion therapy window and achieving early detection and treatment.

The invention relates to the technical field of biology, in particular to a medicine and application thereof. The drug is an exosome (DPSCs-Exos) derived from dental pulp stem cells (DPSCs-Exos). The DPSCs-Exos is given after acute cerebral apoplexy, so that sensory movement and cognitive function recovery after cerebral ischemia can be promoted. The DPSCs-Exos can improve ischemia for 45 minutes, and brain tissue injury and neurological function injury of animals after reperfusion for 28 days. The DPSCs-Exos promotes the expression increase of protein arginine methyltransferase (PRMT5) in oligodendroglia precursor cells (OPC), inhibits the expression of a differentiation inhibition factor 2 (ID2) through nucleation, promotes the OPCs to proliferate and differentiate into oligodendroglia cells (OL), and promotes the integrity repair of white matter. In addition, DPSCs-Exos can promote proliferation and migration of vascular endothelial cells and promote blood brain barrier repair.

A non-invasive intranasal neuromodulation system is configured to stimulate the sphenopalatine ganglion (SPG) to increase the collateral blood flow and mitigate brain perfusion to treat the symptoms and improve outcomes of acute stroke care, the non-invasive intranasal neuromodulation system comprising a catheter having a first balloon coupled to and surrounding the catheter,′ the first balloon including at least one electrode; and a second balloon coupled to and surrounding the catheter; wherein the first balloon and the second balloon are configured and are spaced apart from one another such that in inflated states of the first balloon and the second balloon, the first balloon is configured to contact or be proximate to the sphenopalatine ganglion to permit stimulation thereof by actuation of the at least one electrode, while the second balloon is configured to hold the non-invasive neuromodulation device in place within the nasopharynx.

A method (84) for stroke onset alert for a continuous positive airway pressure (CPAP) system (12) comprises providing (86), via a blower (14) and a patient circuit (16), a pressurized flow of breathable gas to a patient interface device (18) configured for being worn by a subject (20). The method includes monitoring and recording (88), via a monitoring unit (28) integral with the patient interface device, a predetermined set of vital signs and physical symptoms of the subject relating to an onset of acute stroke attack or stroke episode during the delivery of the pressurized flow of breathable gas. In addition, the method comprises identifying (90), via a stroke onset detection module (34), an onset of stroke based on an analysis of the monitored and recorded set of vital signs and physical symptoms and outputting (92), via a stroke onset alert module (36), a stroke onset alert signal based on the identification of the onset of stroke via the stroke onset detection module.

The invention relates to the technical field of medical speech recognition, in particular to a rapid speech screening system and method for acute stroke, and the system comprises a signal preprocessing module, a pause analysis module, a feature modeling module, a real-time evaluation module and a feature matching module. According to the invention, by calculating the frequency band phoneme energy distribution probability and dynamically adjusting the noise reduction weight coefficient, the definition and availability of the voice data are improved, the voice signal processing capability in the noise environment is optimized, the analysis of the breathing airflow period peak valley characteristics and the pause point distribution mode is optimized, the recognition accuracy of the voice pause characteristics is enhanced, and the recognition accuracy of the voice pause characteristics is improved. By extracting formant frequency, bandwidth and inter-phoneme energy distribution, pertinence and adaptability of feature modeling are improved, a trajectory mapping model is constructed and compared with a stroke voice database, efficiency and precision of stroke screening are improved, rapid screening and precise recognition are achieved, and more reliable technical support is provided for early diagnosis of acute stroke.