7 results about "Ecg gating" patented technology

The invention discloses a system for evaluating coronary artery calcification points through photon CT non-electrocardiogram gated lung CT plain scanning, and relates to the technical field of coronary artery calcification point evaluation. Through the CT data acquisition module, the coronary artery calcification recognition module, the integral calculation evaluation module and the risk evaluation generation module, X-ray photons are directly counted, electronic noise is eliminated, the signal-to-noise ratio and the contrast noise ratio are improved, in conventional chest low-dose CT, electrocardio gating is not needed, and the cost is reduced. Automatic processing from low-dose lung CT flat scanning data acquisition to structured report generation is achieved, manual data transmission and intervention among all links are not needed, coronary artery calcification evaluation is fused into a conventional lung CT examination process, the extra burden caused by the fact that a patient needs to independently conduct coronary artery CT scanning is avoided, and the examination efficiency is improved; errors possibly caused by manual operation are reduced, consistency and reliability of evaluation results are ensured, and clinical examination and diagnosis processes are optimized.

Deep learning algorithms are applied to electrocardiogram (ECG) traces to more accurately detect, locate, and / or predict true R-waves within the ECG traces. Accurate R-waves may be used to reduce image artifacts due to ECG gating or arrhythmia in real-time imaging. Corrected R-waves may be used for retrospective image reconstruction of cine cardiac MRI by re-binning spatial frequency maps to produce corrected cine MRI with reduced artifacts and uncovered cardiac anatomy.

An infusion system is described that receives a first group of one or more signals from one or more sensors indicating a current volume of infusion fluid dispensed from a fluid reservoir at a first time. The infusion system determines, based on the first group of one or more signals, that a difference between a dose volume limit and the current volume of infusion fluid dispensed from the fluid reservoir at the first time is less than a volume of fluid required to complete both a systolic infusion phase and a diastolic infusion phase. The infusion system further controls the infusion system to refrain from performing either the systolic infusion phase or the diastolic infusion phase in response to determining that the difference is less than a volume of fluid required to complete both the systolic infusion phase and the diastolic infusion phase.

The application discloses a photon CT non-electrocardiogram gating lung CT plain scanning coronary artery calcification score evaluation system and relates to the technical field of coronary artery calcification score evaluation.The CT data acquisition module, the coronary artery calcification identification module, the score calculation and evaluation module and the risk evaluation generation module directly count X-ray photons, eliminate electronic noise, improve the signal-to-noise ratio and the contrast-to-noise ratio, in the conventional chest low-dose CT, without electrocardiogram gating, realize the automatic processing from the low-dose lung CT plain scanning data acquisition to the structured report generation, without manual data transmission and intervention among the links, integrate the coronary artery calcification evaluation into the conventional lung CT examination process, avoid the additional burden of the patient needing to separately perform coronary artery CT scanning, improve the examination efficiency, reduce the error possibly introduced by manual operation, ensure the consistency and reliability of the evaluation result and optimize the clinical examination and diagnosis process.

The invention discloses a heart gating implementation method. The heart gating implementation method comprises the steps that artery pulse mechanical vibration signals synchronous with the heartbeat cycle of a human body are collected based on wearable equipment; carrying out filtering and common-mode interference suppression processing on the collected arterial pulse mechanical vibration signal to obtain an effective vibration signal; establishing a time mapping relation between the effective vibration signal and the electrocardiosignal; the trigger point location of the effective vibration signal is converted into an equivalent electrocardio gating trigger point location and transmitted to CT equipment, and heart gating adjustment is carried out; acquiring imaging data in real time, and transmitting the imaging data to the terminal according to a set mode; arterial vibration signals are acquired at multiple points, weak electric signals of 1-2 mV do not need to be acquired, and the precision and anti-interference requirements of a signal acquisition and processing circuit are reduced.

The invention discloses an electrocardiogram gating scanning control method and system based on a multi-model fusion algorithm, and the method comprises the steps: obtaining a to-be-detected electrocardiosignal, and carrying out the preprocessing, so as to extract R-wave related features; inputting the preprocessed to-be-detected electrocardiosignal into a pre-trained classification model, determining an electrocardiosignal type to which the to-be-detected electrocardiosignal belongs through an attention mechanism, and generating corresponding attention characterization data; if the electrocardio type belongs to a preset effective electrocardio type, the preprocessed to-be-detected electrocardio signal and attention representation data are fused and then input into a pre-trained R-wave positioning model corresponding to the effective electrocardio type, so that the R-wave peak position is output; if the electrocardio type belongs to a preset non-electrocardio type, triggering a retrospective gating scanning mode; and the R-wave peak position is used as a trigger point, and prospective electrocardio gating scanning is triggered after preset delay time. High-precision R wave detection under various heart rhythms is realized, and a prospective or retrospective gating scanning mode is intelligently switched according to the R wave detection.

The application provides a coronary heart disease examination path triage system based on AI technology, and relates to the technical field of medical treatment.The coronary heart disease examination path triage system based on AI technology comprises a data access module, an AI integral calculation module, a symptom judgment module, a rule engine module, a result display and interface module and a parameter management and audit module, collects non-ECG gated chest CT image data, automatically calculates coronary artery calcification integral (CACS) by using AI, combines chest pain type judgment results and clinical adaptation evidence, constructs a binary risk stratification system, and outputs low-risk or high-risk stratification results and corresponding examination path suggestions.The application solves the defects of the prior art, such as dependence on subjective experience, low efficiency of calcification integral calculation and inaccuracy of examination path matching, realizes standardized and accurate shunt decision, greatly improves diagnosis and treatment efficiency, reduces medical risks and resource waste, and is suitable for coronary heart disease diagnosis and shunt scenes of medical institutions at all levels.