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9 results about "Transcranial Doppler" patented technology

Transcranial Doppler (TCD) and transcranial color Doppler (TCCD) are types of Doppler ultrasonography that measure the velocity of blood flow through the brain's blood vessels by measuring the echoes of ultrasound waves moving transcranially (through the cranium). These modes of medical imaging conduct a spectral analysis of the acoustic signals they receive and can therefore be classified as methods of active acoustocerebrography. They are used as tests to help diagnose emboli, stenosis, vasospasm from a subarachnoid hemorrhage (bleeding from a ruptured aneurysm), and other problems. These relatively quick and inexpensive tests are growing in popularity. The tests are effective for detecting sickle cell disease, ischemic cerebrovascular disease, subarachnoid hemorrhage, arteriovenous malformations, and cerebral circulatory arrest. The tests are possibly useful for perioperative monitoring and meningeal infection. The equipment used for these tests is becoming increasingly portable, making it possible for a clinician to travel to a hospital, to a doctor's office, or to a nursing home for both inpatient and outpatient studies. The tests are often used in conjunction with other tests such as MRI, MRA, carotid duplex ultrasound and CT scans. The tests are also used for research in cognitive neuroscience (see Functional transcranial Doppler, below).

Intelligent non-invasive intracranial pressure monitoring and analyzing system for PICU

The invention relates to the technical field of intracranial pressure monitoring, in particular to an intelligent non-invasive intracranial pressure monitoring and analysis system for a PICU, which integrates a multi-modal sensing array of a rigid packaging high-frequency ultrasonic probe and a flexible transcranial Doppler probe to realize conformal contact with the head and neck of a child. And synchronously acquiring an optic nerve sheath ultrasonic image and a middle cerebral artery blood flow spectrum. The system ensures data reliability through a signal quality evaluation and self-adaptive enhancement module, and a hybrid deep learning fusion core is used for estimating intracranial pressure from multi-source features with high precision and giving a confidence interval. The system is internally provided with an intracranial environment dynamic simulation and prediction engine, deduces a compensatory reserve state and predicts a future change trend based on a volume-pressure model, and finally outputs a personalized Pareto optimal intervention strategy sequence through a decision module driven by reinforcement learning. According to the PICU intracranial pressure management system and method, full-process support from non-invasive monitoring and accurate prediction to intelligent decision making is achieved, and the technical level and clinical efficacy of PICU intracranial pressure management are remarkably improved.
Owner:HANGZHOU CHILDRENS HOSPITAL

Transcranial Doppler ultrasound blood flow analyzer head frame

ActiveCN309929875SAcousticsDoppler us
1. Name of the product in this design: Ultrasonic Transcranial Doppler Blood Flow Analyzer Headframe. 2. Purpose of this design: When used in conjunction with a transcranial Doppler ultrasound blood flow analyzer, it can simultaneously fix two probes for long-term intracranial vascular blood flow monitoring. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.
Owner:SUZHOU HAISHEN JOINT MEDICAL DEVICES CO LTD

Method and device for automatically recognizing body position change in supine and standing position test, equipment and medium

ActiveCN121421514BCatheterBiological modelsHuman bodyStanding Positions
The application provides a method and device for automatically identifying body position changes in a supine and standing position test, equipment and a medium, the method comprising: acquiring video data of body position changes of a subject in a supine and standing position test in real time through a camera and preprocessing; performing frame-by-frame processing on the video data, identifying key point information of a skeleton posture through time series analysis of human body key points, and predicting a current action category; based on the prediction result of the action category, sequentially identifying key moments corresponding to the action category in the supine and standing position test; interacting with a transcranial Doppler TCD device through a communication module, transmitting the identification result of the key moment to the TCD device, and marking and displaying on a trend chart of the TCD device, so as to solve the problem that a traditional AI method often only outputs action categories such as “standing”, “walking” and “lying”, cannot accurately mark time points required in medicine such as “head off the bed”, “feet on the ground” and “return to lying”, and is difficult to meet the requirements of real-time and high accuracy in clinical monitoring.
Owner:BEIJING CHIOY MEDICAL TECH CO LTD

Microbubble generation and injection device for transcranial Doppler foaming test

The utility model relates to the field of medical instruments, in particular to a microbubble generation and injection device for a transcranial Doppler foaming test, which comprises a microbubble generation device, an injector pushing device and a controller, the microbubble generating device comprises two injectors and two three-way switches, each injector comprises a cylinder and a piston movably mounted in the cylinder, and the bottom of each cylinder is connected with the corresponding three-way switch; the injector pushing device comprises a base, a clamping mechanism is fixedly arranged on the base, the clamping mechanism comprises a fixing piece and a limiting block, the clamping mechanism fixes the cylinder in the fixing piece through the limiting block, a driving mechanism is fixedly arranged on the fixing piece, the driving mechanism pushes the piston to reciprocate in the cylinder, and the controller is electrically connected with the driving mechanism. The microbubble foaming device can replace manual foaming, has the operation frequency which can not be reached by a human hand, can generate microbubbles with different sizes and distribution according to requirements, is stable in foaming and high in repeatability, and avoids instability of manual foaming and the risk that an operator suffers from tenosynovitis.
Owner:GUANGDONG GENERAL HOSPITAL +1

Transcranial Doppler probe total transmission fixing system compatible with digital subtraction angiography environment

The invention discloses a transcranial Doppler probe total transmission fixing system compatible with a digital subtraction angiography environment. The system comprises: a base module for stably anchoring the system to an operating bed; the connecting arm module is composed of a connecting rod and a joint which can be transmitted by X-rays and is used for providing large-range coarse positioning; and a probe clamping and fine adjusting module. The core of the device is that a probe clamping-holding and fine adjustment module adopts an integrated design, a spherical hinge mechanism used for large-angle attitude adjustment and an XYZ three-axis fine adjustment mechanism used for precise translation are integrated in a single unit made of a total-transmission material, and mechanical decoupling of a coarse adjustment locking force and a fine adjustment mechanism is realized. According to the system provided by the invention, X-ray artifacts can be avoided, the interference risk with the C-shaped arm is reduced, stable, accurate and repeatable positioning is provided for the TCD probe, and continuous and stable monitoring signals are ensured.
Owner:ZHEJIANG PROVINCIAL PEOPLES HOSPITAL +1

Pd motor subtype classification method based on transcranial doppler and bayesian analysis

The application discloses a PD movement subtype classification method based on transcranial Doppler and Bayesian analysis, and relates to the technical field of medical diagnosis, and comprises the following steps: S1, collecting the cerebral blood flow velocity signals of a subject under different physiological conditions through a transcranial Doppler device, and synchronously collecting the arterial blood pressure signals through a continuous noninvasive blood pressure monitoring device; S2, processing the signals collected in S1, and extracting characteristic indexes reflecting the dynamic cerebral blood flow automatic regulation function; S3, combining the characteristic indexes with basic hemodynamic parameters to form a characteristic vector; S4, inputting the characteristic vector into a pre-trained Bayesian discriminant model; and S5, according to the output of the Bayesian discriminant model, classifying the subject into different Parkinson's disease movement subtypes. The application has the advantages of improving classification objectivity, capturing dynamic physiological signal characteristics, and realizing precise subtype identification.
Owner:XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI

Non-invasive ICP detection and regulation system

ActiveCN121154125BExternal Auditory CanalsIntraocular pressure
The application discloses a noninvasive ICP detection and regulation system, comprising a transcranial Doppler monitoring module, an intraocular pressure sensing module, a tympanic membrane pressure monitoring module, an abdominal pressure regulation module, a data fusion processing module, an alarm module and a power management module. The monitoring modules respectively collect intracranial arterial blood flow velocity waveform, intraocular pressure pulsation and external auditory canal pressure fluctuation signals, and transmit the signals to the data fusion processing module for comprehensive analysis to generate an ICP evaluation result. When the evaluation value exceeds a preset range, the alarm module is triggered, and an instruction is sent to the abdominal pressure regulation module to adjust the abdominal pressure. The power management module supplies power to each module. The system improves detection accuracy through multi-signal fusion, forms a monitoring-regulation closed-loop mechanism, does not need manual operation, shortens response time and guarantees regulation consistency.
Owner:PEKING UNIVERSITY THIRD HOSPITAL (THE THIRD CLINICAL MEDICAL SCHOOL OF PEKING UNIVERSITY)