WO2022110021A1 - Procédé d'extraction d'une forme d'onde de pression stable sur la base de la pression aortique et support d'enregistrement - Google Patents

Procédé d'extraction d'une forme d'onde de pression stable sur la base de la pression aortique et support d'enregistrement Download PDF

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Publication number
WO2022110021A1
WO2022110021A1 PCT/CN2020/132276 CN2020132276W WO2022110021A1 WO 2022110021 A1 WO2022110021 A1 WO 2022110021A1 CN 2020132276 W CN2020132276 W CN 2020132276W WO 2022110021 A1 WO2022110021 A1 WO 2022110021A1
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Prior art keywords
pressure
list
aortic
mean
extracting
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PCT/CN2020/132276
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English (en)
Chinese (zh)
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冯亮
刘广志
王之元
徐磊
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苏州润迈德医疗科技有限公司
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Publication of WO2022110021A1 publication Critical patent/WO2022110021A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes

Definitions

  • the invention relates to the technical field of coronary medicine, in particular to a method and a storage medium for extracting a stable pressure waveform based on aortic pressure.
  • Fractional flow reserve usually refers to the fractional myocardial blood flow reserve, which is defined as the ratio of the maximum blood flow that the diseased coronary artery can provide to the myocardium to the maximum blood flow when the coronary artery is completely normal. In the state, the ratio of blood flow can be replaced by the pressure value. That is, the measurement of the FFR value can be calculated by measuring the pressure at the distal stenosis of the coronary artery and the pressure at the proximal end of the coronary stenosis through the pressure sensor under the state of maximum coronary hyperemia.
  • the aortic pressure waveform directly obtained by the sensor is a series of continuous and oscillating waveforms, which will change with the changes of the subject's physical signs in real time, which makes the calculated mean aortic pressure and the real value The deviation is large and cannot reflect the real situation, thus affecting the clinical diagnosis of doctors.
  • the present invention provides a method and a storage medium for extracting a stable pressure waveform based on aortic pressure, so as to solve the problem that the calculated mean aortic pressure has a large deviation from the real value.
  • the present application provides a method for extracting a stable pressure waveform based on aortic pressure, including:
  • the above-mentioned method for extracting a stable pressure waveform based on aortic pressure includes:
  • the multiple index lists include: a temporary storage list, a save list, a mean point index list, a maximum value point index list, and a minimum value point index list.
  • the physiological parameter threshold includes: the number of heartbeat cycles C, the diastolic to systolic pressure range, the minimum pressure amplitude threshold, the systolic or diastolic fluctuation difference, Heart rate range, pressure number N threshold , upper limit of the number of files, cut-off pressure threshold P cut , cut-off heart rate threshold HR cut , pressure transmission rate threshold V threshold .
  • the method for calculating the average pressure from the aortic pressure data according to the index list and the physiological parameter threshold includes:
  • a time period is defined according to the range of the number of data points. After each time period ends, the number of all data points is counted, and all acquired aortic pressures and acquired times are stored in the temporary stored in the list;
  • the number of data in the temporary storage list is an integer multiple of the N threshold , and is greater than the minimum threshold of the range of the number of data points, and less than the maximum threshold of the range of the number of data points, calculate the aorta in all temporary storage lists
  • the average value of the pressure is the average pressure.
  • the method for calculating the average pressure from the aortic pressure data according to the index list and the physiological parameter threshold further includes:
  • n consecutive aortic pressures Pa in the temporary storage list are all smaller than the cut -off pressure threshold Pt, the n aortic pressures Pa are removed from the temporary storage list.
  • the method for obtaining a pressure mean point according to the mean pressure includes:
  • the method for adding a pressure mean point to the mean point index list includes:
  • PK and PK+1 represent the Kth and K +1th aortic pressures in the temporary storage list, respectively;
  • the method for filtering the pressure mean point on the pressure mean point curve includes:
  • D n P n+1 -P n , where P n and P n+1 represent the nth and n+1th aortic pressures in the mean point index list, respectively, and the D n represents P n+ 1.
  • the pressure difference of P n P n+1 -P n , where P n and P n+1 represent the nth and n+1th aortic pressures in the mean point index list, respectively, and the D n represents P n+ 1.
  • the method of judging whether the number of the pressure mean points in the mean point index list meets the heartbeat cycle requirement, and if not, repeating the if all If the consecutive n aortic pressures Pa in the temporary storage list are all smaller than the cut -off pressure threshold P, then the n aortic pressures Pa are removed from the temporary storage list, and the size of n is adjusted until the heartbeat cycle requirement is met methods include:
  • the heartbeat cycle requirement is not met, and repeat the above. If the consecutive n aortic pressures Pa in the temporary storage list are all less than the cut-off pressure threshold P cut , then remove the n aortic pressures Pa from the temporary list;
  • the method for dividing a data period according to the pressure mean point to obtain pressure parameters in each heartbeat period includes:
  • the temporary storage list is re-acquired.
  • the method for re-acquiring the temporary storage list if P Shu is not within the range of diastolic blood pressure to systolic blood pressure includes: The first half of the data is intercepted into the save list, and if the number of data is greater than the upper limit of the save list, the first half of the data in the temporary storage list using the save list is directly replaced into the temporary storage list, and emptied the save list.
  • the method for obtaining a stable pressure waveform according to the pressure parameter includes:
  • the average point index list, the diastolic pressure list, and the systolic pressure list are all executed according to the above offset, start point O, and end point E, and output the stable pressure waveform, diastolic pressure waveform, and systolic pressure waveform.
  • the present application provides a computer storage medium, and when the computer program is executed by a processor, the above-mentioned method for extracting a stable pressure waveform based on aortic pressure is implemented.
  • the present application provides an automated extraction of smooth pressure waveforms, thereby obtaining accurate mean aortic pressure, capable of simultaneously outputting multiple smooth pressure waveforms, maintaining good continuous characteristics between these waveforms, and maintaining this synchronization over time It also has the advantages of simple and easy implementation method, fast generation speed, and wide application range.
  • FIG. 1 is a flowchart of a method for extracting a stable pressure waveform based on aortic pressure according to the present application
  • Fig. 2 is the flowchart of S300 of this application.
  • Fig. 3 is the flow chart of S400 of this application.
  • FIG. 6 is a flowchart of S500 of the present application.
  • the present application provides a method for extracting a stable pressure waveform based on aortic pressure, including:
  • the multiple index lists include: a temporary storage list, a save list, a mean point index list, a maximum value point index list, and a minimum value point index list.
  • Physiological parameter thresholds include: number of heartbeat cycles C, diastolic to systolic pressure range, minimum pressure amplitude threshold, systolic or diastolic pressure fluctuation difference, heart rate range, pressure number N threshold , upper limit of the number of files, cut -off pressure threshold P, Cut-off heart rate threshold HR cutoff , pressure transmission rate threshold Vthreshold .
  • S300 calculates the average pressure according to the index list, the physiological parameter threshold, and the aortic pressure data, including:
  • S330 Delineate a time period according to the range of the number of data points, count the number of all data points every time a time period ends, and store all acquired aortic pressures and acquired times in a temporary storage list in one-to-one correspondence Inside;
  • the number of data in the temporary storage list is an integer multiple of the N threshold , and is greater than the minimum threshold of the range of the number of data points, and less than the maximum threshold of the range of the number of data points, calculate the aortas in all the temporary storage lists
  • the average value of the pressure is the average pressure.
  • filtering the pressure mean point on the pressure mean point curve including:
  • S500 divides the data period according to the pressure mean point, and obtains the pressure parameters in each heartbeat period, including:
  • the temporary list is retrieved.
  • the method for re-acquiring the temporary storage list includes: intercepting the first half of the temporary storage list into the storage list, and if the number of data is greater than the upper limit of the number of storage lists, the first half of the data in the temporary storage list using the storage list is directly replaced to the temporary storage list. list, and clear the save list.
  • the average point index list, diastolic blood pressure list, and systolic blood pressure list are all executed according to the above offset, start point O, and end point E, and output stable pressure waveform, diastolic pressure waveform, and systolic pressure waveform.
  • the present application provides a computer storage medium, and when the computer program is executed by a processor, the above-mentioned method for extracting a stable pressure waveform based on aortic pressure is implemented.
  • aspects of the present invention may be embodied as a system, method or computer program product. Accordingly, various aspects of the present invention may be embodied in the following forms: an entirely hardware implementation, an entirely software implementation (including firmware, resident software, microcode, etc.), or a combination of hardware and software aspects, It may be collectively referred to herein as a "circuit,” "module,” or “system.” Furthermore, in some embodiments, various aspects of the present invention may also be implemented in the form of a computer program product on one or more computer-readable media having computer-readable program code embodied thereon. Implementation of the method and/or system of embodiments of the present invention may involve performing or completing selected tasks manually, automatically, or a combination thereof.
  • a data processor such as a computing platform for executing a plurality of instructions.
  • the data processor includes volatile storage for storing instructions and/or data and/or non-volatile storage for storing instructions and/or data, such as a magnetic hard disk and/or a Move media.
  • a network connection is also provided.
  • a display and/or user input device such as a keyboard or mouse, is optionally also provided.
  • the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium.
  • the computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples (non-exhaustive list) of computer-readable storage media would include the following:
  • a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a propagated data signal in baseband or as part of a carrier wave, with computer-readable program code embodied thereon. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • a computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device .
  • Program code embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
  • computer program code for performing operations for various aspects of the invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages, such as The "C" programming language or similar programming language.
  • the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server.
  • the remote computer may be connected to the user's computer through any kind of network - including a local area network (LAN) or a wide area network (WAN) - or may be connected to an external computer (eg using an Internet service provider via Internet connection).
  • LAN local area network
  • WAN wide area network
  • These computer program instructions can also be stored on a computer-readable medium, the instructions cause a computer, other programmable data processing apparatus, or other device to operate in a particular manner, whereby the instructions stored on the computer-readable medium produce a An article of manufacture of instructions implementing the functions/acts specified in one or more blocks of the flowcharts and/or block diagrams.
  • Computer program instructions can also be loaded on a computer (eg, a coronary artery analysis system) or other programmable data processing device to cause a series of operational steps to be performed on the computer, other programmable data processing device or other device to produce a computer-implemented process , such that instructions executing on a computer, other programmable apparatus, or other device provide a process for implementing the functions/acts specified in the flowchart and/or one or more block diagram blocks.
  • a computer eg, a coronary artery analysis system
  • other programmable data processing device to produce a computer-implemented process , such that instructions executing on a computer, other programmable apparatus, or other device provide a process for implementing the functions/acts specified in the flowchart and/or one or more block diagram blocks.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Public Health (AREA)
  • Physiology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
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  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

La présente invention concerne un procédé d'extraction d'une forme d'onde de pression stable sur la base de la pression aortique et un support de stockage. Le procédé comprend les étapes consistant à : acquérir des données de pression aortique Pa (S100) ; définir une pluralité de listes d'indices et de valeurs de seuil de paramètres physiologiques (S200) ; définir une pluralité de listes d'indices et de valeurs de seuil de paramètres physiologiques (S300) ; acquérir un point de valeur moyenne de pression selon la pression moyenne (S400) ; segmenter un cycle de données selon le point de valeur moyenne de pression de façon à acquérir un paramètre de pression au cours de chaque cycle de battements de cœur (S500) ; et acquérir une forme d'onde de pression stable selon le paramètre de pression (S600). Une partie de forme d'onde de pression stable est automatiquement déterminée et extraite à partir d'une forme d'onde de pression aortique continue, de façon qu'une pluralité de formes d'onde de pression stables puissent être délivrées en même temps, une bonne caractéristique de continuité est maintenue entre lesdites formes d'onde et la stabilité de cette synchronisation peut être maintenue au fil du temps. En outre, le procédé présente les avantages d'être simple et facile à mettre en œuvre, d'avoir une vitesse de génération élevée, d'avoir une large gamme d'applications, etc.
PCT/CN2020/132276 2020-11-26 2020-11-27 Procédé d'extraction d'une forme d'onde de pression stable sur la base de la pression aortique et support d'enregistrement WO2022110021A1 (fr)

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CN202011348567.X 2020-11-26
CN202011348567.XA CN112494019A (zh) 2020-11-26 2020-11-26 基于主动脉压力提取平稳压力波形的方法及存储介质

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CN111466900A (zh) * 2020-05-08 2020-07-31 深圳北芯生命科技有限公司 使用血压来跟踪心脏循环事件的系统及方法
CN112494020A (zh) * 2020-11-26 2021-03-16 苏州润迈德医疗科技有限公司 获取感兴趣的主动脉压力曲线的方法及存储介质
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CN112494022A (zh) * 2020-11-26 2021-03-16 苏州润迈德医疗科技有限公司 获取冠状动脉血管评价参数的方法及存储介质

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CN109770888A (zh) * 2019-03-19 2019-05-21 苏州润迈德医疗科技有限公司 基于压力传感器和造影图像计算瞬时无波形比率的方法

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140135633A1 (en) * 2011-08-20 2014-05-15 Volcano Corporation Devices, Systems, and Methods for Assessing a Vessel
CN106999051A (zh) * 2014-12-08 2017-08-01 皇家飞利浦有限公司 用于检测异常心脏波形和进行生理测量值计算的装置、系统和方法
CN109091133A (zh) * 2018-09-30 2018-12-28 珠海亚特兰生命工程科技有限公司 血压和颅内压的信号处理与临床参数算法
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CN112494020A (zh) * 2020-11-26 2021-03-16 苏州润迈德医疗科技有限公司 获取感兴趣的主动脉压力曲线的方法及存储介质
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CN112494022A (zh) * 2020-11-26 2021-03-16 苏州润迈德医疗科技有限公司 获取冠状动脉血管评价参数的方法及存储介质

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