CN100512749C - Automatic interpretation device for damaged condition of heart valve - Google Patents
Automatic interpretation device for damaged condition of heart valve Download PDFInfo
- Publication number
- CN100512749C CN100512749C CNB2004101027084A CN200410102708A CN100512749C CN 100512749 C CN100512749 C CN 100512749C CN B2004101027084 A CNB2004101027084 A CN B2004101027084A CN 200410102708 A CN200410102708 A CN 200410102708A CN 100512749 C CN100512749 C CN 100512749C
- Authority
- CN
- China
- Prior art keywords
- hear sounds
- valve
- signal
- heart
- sounds signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 210000003709 heart valve Anatomy 0.000 title claims abstract description 66
- 210000002216 heart Anatomy 0.000 claims abstract description 125
- 238000000034 method Methods 0.000 claims abstract description 33
- 238000012545 processing Methods 0.000 claims abstract description 27
- 238000012546 transfer Methods 0.000 claims abstract description 18
- 210000001765 aortic valve Anatomy 0.000 claims description 23
- 210000000591 tricuspid valve Anatomy 0.000 claims description 20
- 210000004115 mitral valve Anatomy 0.000 claims description 19
- 230000006870 function Effects 0.000 claims description 18
- 230000002685 pulmonary effect Effects 0.000 claims description 7
- 238000000926 separation method Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000001771 impaired effect Effects 0.000 claims 14
- 230000001186 cumulative effect Effects 0.000 claims 2
- 239000000284 extract Substances 0.000 claims 1
- 230000005236 sound signal Effects 0.000 abstract description 59
- 210000003102 pulmonary valve Anatomy 0.000 description 15
- 238000005070 sampling Methods 0.000 description 6
- 208000035211 Heart Murmurs Diseases 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 239000008280 blood Substances 0.000 description 3
- 210000004369 blood Anatomy 0.000 description 3
- 210000004072 lung Anatomy 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000002555 auscultation Methods 0.000 description 2
- 238000010009 beating Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000001766 physiological effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000029058 respiratory gaseous exchange Effects 0.000 description 2
- 208000031481 Pathologic Constriction Diseases 0.000 description 1
- 210000001367 artery Anatomy 0.000 description 1
- 230000036770 blood supply Effects 0.000 description 1
- 210000004903 cardiac system Anatomy 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000003205 diastolic effect Effects 0.000 description 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 208000019622 heart disease Diseases 0.000 description 1
- 210000005240 left ventricle Anatomy 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 239000012925 reference material Substances 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000036262 stenosis Effects 0.000 description 1
- 208000037804 stenosis Diseases 0.000 description 1
- 230000007847 structural defect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 201000011112 tricuspid valve prolapse Diseases 0.000 description 1
Images
Landscapes
- Prostheses (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
Description
技术领域 technical field
本发明是一种心脏瓣膜受损情形的自动判读装置,尤其是指一种用于判断病人心脏瓣膜受损情形的自动判读装置。The invention relates to an automatic judgment device for the damage of the heart valve, in particular to an automatic judgment device for judging the damage of the heart valve of a patient.
背景技术 Background technique
心脏是人体中重要的器官之一,它无时无刻的在进行运作,心脏只要有轻微的问题,即会对人体健康产生极大的影响,而且整个心脏是一个很复杂的系统,要清楚的描述其系统并不容易,因此,目前在临床上心音仍为医生诊断心脏状况最常使用的方法。The heart is one of the most important organs in the human body. It operates all the time. As long as there is a slight problem with the heart, it will have a great impact on human health. Moreover, the whole heart is a very complicated system. It is necessary to clearly describe its The system is not easy, therefore, heart sound is still the most commonly used method for doctors to diagnose heart conditions in clinical practice.
心脏搏动造成血液的流动与循环,在搏动期间会有组织形体与流体力学上的改变,可通过听诊器(stethoscope)听到这些改变所发出的声音,即称为心音,而心杂音主要是由血液的紊流所造成。依发生的时间可分为收缩期、舒张期和持续期。依诊断位置可分主动脉瓣(Aortic valve)、肺动脉瓣(Pulmonary valve)、三尖瓣(Tricuspid valve)和僧帽瓣(Mitralvalve)。瓣膜就像门一样,让血液顺一定方向流动,例如主动脉瓣介于左心室和主动瓣之间,控制着全身的血液供应,如果主动脉瓣狭窄的病人,心脏收缩时,左心室与主动脉间会形成压力差,脉瓣越狭窄则压力越大,听诊时可发现收缩期的心杂音。The beating of the heart causes the flow and circulation of blood. During the beating period, there will be changes in tissue shape and fluid mechanics. The sound of these changes can be heard through a stethoscope, which is called heart sound, and heart murmurs are mainly caused by blood. caused by turbulence. According to the time of occurrence, it can be divided into systolic, diastolic and continuous phases. According to the diagnostic location, it can be divided into aortic valve, pulmonary valve, tricuspid valve and mitral valve. The valve is like a door, allowing blood to flow in a certain direction. For example, the aortic valve is between the left ventricle and the aortic valve and controls the blood supply to the whole body. There will be a pressure difference between the arteries, and the narrower the valve, the greater the pressure, and systolic heart murmurs can be found during auscultation.
心音可分为第一心音、第二心音、第三心音和第四心音,其中第一心音发生在心脏收缩的初期,包括了两个成分,分别由僧帽瓣和三尖瓣的闭合所造成。第二心音发生在心脏收缩的末期,也包括了两个成分,分别由主动脉瓣和肺动脉瓣所造成。第三心音则发生在心脏舒张的初期,第四心音发生在心脏舒张的后期。其中第一心音和第二心音皆为心血管瓣膜闭合所产生的声音,容易被观察,而第三心音和第四心音则较不明显,因而导致不易被观察。这四种心音以外的不正常声音则被视为心杂音,这些心杂音代表心脏疾病的征候,包括有腔室隔间破损、瓣膜狭窄、瓣膜闭索不全、三尖瓣脱垂、瓣膜裂缝或其它构造上的缺损等等。The heart sound can be divided into the first heart sound, the second heart sound, the third heart sound and the fourth heart sound. The first heart sound occurs in the early stage of systole and includes two components, which are respectively composed of the mitral valve and the tricuspid valve. caused. The second heart sound occurs at the end of systole and also includes two components, respectively caused by the aortic valve and pulmonary valve. The third heart sound occurs in the early diastole, and the fourth heart sound occurs in the late diastole. Among them, the first heart sound and the second heart sound are the sounds produced by the closure of cardiovascular valves, which are easy to be observed, while the third heart sound and the fourth heart sound are less obvious, which makes it difficult to be observed. Abnormal sounds other than these four heart sounds are considered heart murmurs. These heart murmurs represent signs of heart disease, including broken compartments, valve stenosis, valvular insufficiency, tricuspid valve prolapse, valve cracks or Other structural defects, etc.
由此可知,心音诊断为医生判断心脏情况的一种重要程序,因此便有人研发出一系列的听诊器用以协助医生判断心脏情况,像美国专利公告号第20030072457号专利“电子式听诊器”是提供一种电子式听诊器,该电子式听诊器可提供三种操作模式,第一种操作模式只过滤出心脏的生理活动声,第二种操作模式只过滤出肺脏的生理活动声,第三种操作模式则通过不同比例的放大正常的心音和不正常的心音,用以加强不正常的心音的观察,但此电子式听诊器无法自动的协助分析心脏瓣膜受损的情形。It can be seen that heart sound diagnosis is an important procedure for doctors to judge the condition of the heart. Therefore, a series of stethoscopes have been developed to assist doctors in judging the condition of the heart. For example, the US Patent No. 20030072457 patent "electronic stethoscope" is provided An electronic stethoscope, the electronic stethoscope can provide three operation modes, the first operation mode only filters out the physiological activity sound of the heart, the second operation mode only filters out the physiological activity sound of the lungs, and the third operation mode The normal and abnormal heart sounds are amplified in different proportions to strengthen the observation of abnormal heart sounds, but this electronic stethoscope cannot automatically assist in the analysis of heart valve damage.
又如美国专利第4619268号专利“听诊器和维生监视系统”是提供一种听诊器和维生监视系统,该系统可将心跳声和肺呼吸声分辨出来,再分别计算心跳和肺呼吸的频率,用以监视病人的生命迹象,但该听诊器和维生监视系统仍无法自动协助分析心脏瓣膜受损的情形。Another example is U.S. Patent No. 4619268, "Stethoscope and Life Support Monitoring System", which provides a stethoscope and life support monitoring system. The system can distinguish the sound of heartbeat and lung breathing, and then calculate the frequency of heartbeat and lung breathing respectively. It is used to monitor the vital signs of patients, but the stethoscope and life support monitoring system still cannot automatically assist in the analysis of damaged heart valves.
上述的现有技术无法自动协助分析心脏瓣膜受损的情形,对于心音的判读,仍旧以医师主观的听觉判断为主,容易受到周遭环境及人为因素的干扰,如医师的年龄、听觉的灵敏及所受听诊技巧的训练程度等影响,而导致未能正确判读心脏瓣膜受损的情形。The above-mentioned existing technologies cannot automatically assist in the analysis of heart valve damage. The interpretation of heart sounds is still based on the doctor's subjective auditory judgment, which is easily interfered by the surrounding environment and human factors, such as the doctor's age, hearing sensitivity and Affected by the degree of training of auscultation skills, etc., it leads to the failure to correctly interpret the damage of the heart valve.
发明人鉴于现有技术的缺失,乃亟思改良创新之见,进而改善上述的缺失。In view of the deficiencies in the prior art, the inventor desperately wants to improve and innovate, so as to improve the above-mentioned deficiencies.
发明内容 Contents of the invention
本发明的主要目的是提供一种心脏瓣膜受损情形的自动判读装置,是用于判断病人心脏瓣膜受损情形,该心脏瓣膜受损情形的自动判读方法可自动的解读出心脏瓣膜的受损情形,可提升医疗的品质及方便性。The main purpose of the present invention is to provide an automatic interpretation device for the damage of the heart valve, which is used to judge the damage of the heart valve of the patient. The automatic interpretation method for the damage of the heart valve can automatically interpret the damage of the heart valve. It can improve the quality and convenience of medical treatment.
为了达成上述目的,本发明提供一种心脏瓣膜受损情形的自动判读装置,包括有一参考资料库,用以储存临床上累积的大量心脏瓣膜受损情形和心音间关系的资料,接着利用心音麦克风来录取心脏的心音讯号,再利用一分离心音讯号单元从心音麦克风录取心脏的心音讯号,利用心音讯号时序的特性及相关技术,分离成心脏的主动脉瓣、肺动脉瓣、三尖瓣和僧帽瓣的四个心音讯号,再包括有一心音讯号数字处理单元,用以将分离心音讯号单元取得的心脏瓣膜的心音讯号处理成取样讯号。In order to achieve the above object, the present invention provides an automatic judgment device for heart valve damage, including a reference database for storing a large amount of clinically accumulated data on heart valve damage and the relationship between heart sounds, and then using a heart sound microphone To record the heart sound signal of the heart, and then use a separation heart sound signal unit to record the heart sound signal of the heart from the heart sound microphone, and use the timing characteristics of the heart sound signal and related technologies to separate it into the aortic valve, pulmonary valve, tricuspid valve and mitral valve of the heart The four heart sound signals of the heart valve further include a heart sound signal digital processing unit for processing the heart sound signals of the heart valve obtained by separating the heart sound signal unit into sampling signals.
本心脏瓣膜受损情形的自动判读装置也包括有一旋积法运算单元,用以将心音讯号数字处理单元产生的心脏瓣膜的心音取样讯号,利用旋积法运算,以产生系统转移函数,接着包括有一比对运算单元,用以将旋积法运算单元所得的系统转移函数和已建立的参考资料库分别比对,以得知四个心脏瓣膜受损的情形,以及一显示器,用以显示比对运算单元的结果,以显示心脏瓣膜受损的情形。The automatic judgment device for heart valve damage also includes a convolution method computing unit, which is used to use the convolution method to generate the system transfer function by using the heart sound sampling signal of the heart valve generated by the heart sound signal digital processing unit, and then includes There is a comparison operation unit, which is used to compare the system transfer function obtained by the convolution method operation unit with the established reference database, so as to know the damage of the four heart valves, and a display, which is used to display the comparison The result of the arithmetic unit is used to display the damage of the heart valve.
附图说明 Description of drawings
图1为本发明心脏瓣膜受损情形的自动判读方法的流程图;Fig. 1 is the flow chart of the automatic interpretation method of heart valve damaged situation of the present invention;
图2为本发明心脏瓣膜受损情形的自动判读装置的方块图;Fig. 2 is the block diagram of the automatic interpretation device of the heart valve damage situation of the present invention;
图3A为心脏系统的主动脉瓣、肺动脉瓣、三尖瓣和僧帽瓣位置图;Fig. 3A is a position map of the aortic valve, pulmonary valve, tricuspid valve and mitral valve in the cardiac system;
图3B为本发明的心音讯号量测位置的示意图。FIG. 3B is a schematic diagram of heart sound signal measurement locations of the present invention.
主要组件符号说明:Description of main component symbols:
30 心音麦克风30 heart sound microphone
32 分离心音讯号单元32 Separate heart sound signal unit
34 心音讯号数字处理单元34 Heart sound signal digital processing unit
36 旋积法运算单元36 Convolution operation unit
38 比对运算单元38 comparison operation unit
40 参考资料库40 Reference library
42 显示器42 monitors
44 讯号处理系统44 Signal processing system
50、58 肺动脉瓣50, 58 Pulmonary valve
52、60 主动脉瓣52, 60 Aortic valve
54、62 三尖瓣54, 62 Tricuspid valve
56、64 僧帽瓣56, 64 mitral flap
具体实施方式 Detailed ways
请参照图1所示,为本发明的一种心脏瓣膜受损情形的自动判读方法。该心脏瓣膜受损情形的自动判读方法的步骤包括有预先建立参考资料库S100,将临床上累积的大量心脏瓣膜受损情形和心音间关系的资料予以建立参考资料库。接着,撷取心音讯号S102,利用心音麦克风录取心脏的心音讯号,可用三个或三个以上的心音麦克风同时录取心脏附近的心音讯号,也可分别从心脏的主动脉瓣、肺动脉瓣、三尖瓣或僧帽瓣处量得。然后,分离心音讯号成四个心脏瓣膜的心音讯号S104,将利用心音麦克风录取的心脏的心音讯号利用时序的特性及相关技术分离成心脏的主动脉瓣、肺动脉瓣、三尖瓣和僧帽瓣的四个心音讯号。其实施的方式之一为可由肺动脉瓣量得的心音讯号减由主动脉瓣量得的心音讯号、由主动脉瓣量得的心音讯号减由肺动脉瓣量得的心音讯号、由三尖瓣量得的心音讯号减由僧帽瓣量得的心音讯号以及由僧帽瓣量得的心音讯号减由三尖瓣量得的心音讯号,但也可由其它方式为之。Please refer to FIG. 1 , which is an automatic interpretation method for heart valve damage according to the present invention. The steps of the method for automatically judging heart valve damage include pre-establishing a reference database S100, establishing a reference database with a large amount of clinically accumulated data on heart valve damage and the relationship between heart sounds. Next, capture the heart sound signal S102, and use the heart sound microphone to record the heart sound signal of the heart. Three or more heart sound microphones can be used to record the heart sound signal near the heart at the same time, or the aortic valve, pulmonary valve, tricuspid Measured at the valve or mitral valve. Then, separate the heart sound signals into heart sound signals of four heart valves S104, and separate the heart sound signals recorded by the heart sound microphone into the aortic valve, pulmonary valve, tricuspid valve and mitral valve using time series characteristics and related technologies The four heart sound signals. One of its implementation methods is that the heart sound signal measured from the pulmonary valve minus the heart sound signal measured from the aortic valve, the heart sound signal measured from the aortic valve minus the heart sound signal measured from the pulmonary valve, and the heart sound signal measured from the tricuspid valve The heart sound signal obtained from the mitral valve minus the heart sound signal obtained from the mitral valve and the heart sound signal obtained from the mitral valve minus the heart sound signal obtained from the tricuspid valve, but it can also be done in other ways.
接着数字处理心音讯号成取样讯号S106,将分离出来的心脏瓣膜的心音讯号做数字处理成取样讯号,接下来包括有利用旋积法(convolutionmethod)运算产生系统转移函数S108的步骤,是指利用旋积法(convolutionmethod)运算心脏瓣膜的心音取样讯号,以产生系统转移函数,其中该产生系统转移函数是利用脉冲响应而求出系统转移函数。其中,心脏系统转移函数的运算可通过输入一脉冲讯号和由心音麦克风取得的心音讯号,利用旋积法计算出系统转移函数。最后分别比对心脏四个瓣膜的系统转移函数和已建立的参考资料库S110,用以验证判断四个心脏瓣膜受损的情形。Then digitally process the heart sound signal into a sampling signal S106, digitally process the separated heart sound signal of the heart valve into a sampling signal, and then include the step of generating a system transfer function S108 by using the convolution method, which means using the convolution method The convolution method calculates the heart sound sampling signal of the heart valve to generate the system transfer function, wherein the generation of the system transfer function is obtained by using the impulse response to obtain the system transfer function. The heart system transfer function can be calculated by inputting a pulse signal and the heart sound signal obtained by the heart sound microphone, and using the convolution method to calculate the system transfer function. Finally, the system transfer functions of the four heart valves are compared with the established reference database S110 to verify and judge the damage of the four heart valves.
请参照图2所示,为本发明的一种心脏瓣膜受损情形的自动判读装置。该心脏瓣膜受损情形的自动判读装置包括有一心音麦克风30,用以录取心脏的心音讯号,也可用三个或三个以上的心音麦克风30同时录取心脏附近的心音讯号,或可分别从心脏的主动脉瓣、肺动脉瓣、三尖瓣或僧帽瓣处量得。图3A显示心脏的主动脉瓣52、肺动脉瓣50、三尖瓣54和僧帽瓣56的位置,图3B显示在人体中,用心音麦克风40量测心脏的主动脉瓣60、肺动脉瓣58、三尖瓣62和僧帽瓣64处的心音讯号的位置。Please refer to FIG. 2 , which is an automatic detection device for heart valve damage according to the present invention. The automatic judgment device of the damage situation of the heart valve includes a heart sound microphone 30, which is used to record the heart sound signal of the heart, and three or more heart sound microphones 30 can also be used to record the heart sound signal near the heart at the same time, or can separately record the heart sound signal from the heart Measured at the aortic, pulmonary, tricuspid or mitral valves. Figure 3A shows the positions of the
接着包括有一讯号处理系统44,讯号处理系统44连接于心音麦克风30,用以将从三个或三个以上的心音麦克风30录取而得到心脏瓣膜的心音讯号做讯号处理和系统转移函数运算、比对。其中,该讯号处理系统44包括有一参考资料库40,用以储存临床上累积的大量心脏瓣膜受损情形和心音间关系的资料;一分离心音讯号单元32,连接于心音麦克风30,用以将从三个或三个以上的心音麦克风30录取的心脏心音讯号分离成心脏瓣膜的心音讯号,是指利用心音讯号时序的特性及相关技术,分离成心脏的主动脉瓣、肺动脉瓣、三尖瓣和僧帽瓣的四个心音讯号。Then include a signal processing system 44, the signal processing system 44 is connected to the heart sound microphone 30, and is used for signal processing and system transfer function calculation and comparison of the heart sound signals of the heart valve obtained from three or more heart sound microphones 30. right. Wherein, the signal processing system 44 includes a reference database 40 for storing a large amount of clinically accumulated data on the relationship between heart valve damage and heart sounds; a separate heart sound signal unit 32 is connected to the heart sound microphone 30 for Separation of heart sound signals recorded by three or more heart sound microphones 30 into heart sound signals of heart valves refers to the separation of heart sound signals into aortic valve, pulmonary valve, and tricuspid valve using the characteristics of the timing of heart sound signals and related technologies. and the four heart sounds from the mitral valve.
心脏瓣膜的心音讯号可分别为由肺动脉瓣量得的心音讯号减由主动脉瓣量得的心音讯号、由主动脉瓣量得的心音讯号减由肺动脉瓣量得的心音讯号、由三尖瓣量得的心音讯号减由僧帽瓣量得的心音讯号以及由僧帽瓣量得的心音讯号减由三尖瓣量得的心音讯号构成,或其它运算方式取得。The heart sound signal of the heart valve can be the heart sound signal measured by the pulmonary valve minus the heart sound signal measured by the aortic valve, the heart sound signal measured by the aortic valve minus the heart sound signal measured by the pulmonary valve, and the heart sound signal measured by the tricuspid valve The measured heart sound signal minus the heart sound signal measured from the mitral valve and the heart sound signal measured from the mitral valve minus the heart sound signal measured from the tricuspid valve are formed, or obtained by other calculation methods.
本发明的一种心脏瓣膜受损情形的自动判读装置更包括有一心音讯号数字处理单元34,连接于分离心音讯号单元32,用以将从分离心音讯号单元32取得的心脏瓣膜的心音讯号处理成取样讯号,再运用一旋积法运算单元36,连接于心音讯号数字处理单元34,用以将心音讯号数字处理单元34产生的心脏瓣膜的心音取样讯号利用旋积法运算产生系统转移函数。最后再用一比对运算单元38,连接于旋积法运算单元36和参考资料库40,用以将该旋积法运算单元36所得的四个心脏瓣膜的系统转移函数和已建立的参考资料库40分别比对,通过丰富的参考资料库40的内容,以自动判断四个心脏瓣膜受损的情形,以及一显示器42,连接于比对运算单元38,用以显示讯号处理系统44的结果,以显示四个心脏瓣膜受损的情形。An automatic judgment device for heart valve damage in the present invention further includes a heart sound signal digital processing unit 34 connected to the separation heart sound signal unit 32 for processing the heart sound signal of the heart valve obtained from the separation heart sound signal unit 32 into The sampling signal is then connected to the heart sound signal digital processing unit 34 by using a convolution method operation unit 36 to generate the system transfer function by using the convolution method to generate the heart sound sample signal of the heart valve generated by the heart sound signal digital processing unit 34. Finally, a comparison operation unit 38 is used to connect to the convolution method operation unit 36 and the reference database 40 for the system transfer functions of the four heart valves obtained by the convolution method operation unit 36 and the established reference materials Libraries 40 are compared separately, through the rich contents of the reference database 40, to automatically judge the damage of the four heart valves, and a display 42, connected to the comparison operation unit 38, for displaying the results of the signal processing system 44 , to show damage to the four heart valves.
综上所述,本发明实为一不可多得的发明创作产品,极具产业上的实用性、新颖性及进步性,完全符合发明专利申请要件,爰依法提出申请。To sum up, the present invention is really a rare invention and creation product, which has great industrial practicability, novelty and progress, and fully meets the requirements for invention patent application, so please file an application in accordance with the law.
惟以上所述仅为本发明的较佳可行实施例,非因此即拘限本发明的专利范围,因此任何熟悉此项技艺者在本发明的领域内,所实施的变化或修饰皆被涵盖在本案的专利范围内,合予陈明。However, the above description is only a preferred feasible embodiment of the present invention, and does not limit the patent scope of the present invention. Therefore, any changes or modifications implemented by those familiar with the art in the field of the present invention are all covered by the present invention. Within the scope of the patent in this case, I agree with Chen Ming.
Claims (7)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB2004101027084A CN100512749C (en) | 2004-12-23 | 2004-12-23 | Automatic interpretation device for damaged condition of heart valve |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB2004101027084A CN100512749C (en) | 2004-12-23 | 2004-12-23 | Automatic interpretation device for damaged condition of heart valve |
Publications (2)
Publication Number | Publication Date |
---|---|
CN1795816A CN1795816A (en) | 2006-07-05 |
CN100512749C true CN100512749C (en) | 2009-07-15 |
Family
ID=36817277
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CNB2004101027084A Expired - Fee Related CN100512749C (en) | 2004-12-23 | 2004-12-23 | Automatic interpretation device for damaged condition of heart valve |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN100512749C (en) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1424037A1 (en) * | 2002-11-29 | 2004-06-02 | Ela Medical | Device for non-invasive measurement of arterial pressure, especially for the continuous ambulatory tracking of arterial pressure |
CN1552282A (en) * | 2003-05-29 | 2004-12-08 | 香港中文大学 | Blood pressure measuring method and device based on heart sound signals |
-
2004
- 2004-12-23 CN CNB2004101027084A patent/CN100512749C/en not_active Expired - Fee Related
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1424037A1 (en) * | 2002-11-29 | 2004-06-02 | Ela Medical | Device for non-invasive measurement of arterial pressure, especially for the continuous ambulatory tracking of arterial pressure |
CN1552282A (en) * | 2003-05-29 | 2004-12-08 | 香港中文大学 | Blood pressure measuring method and device based on heart sound signals |
Also Published As
Publication number | Publication date |
---|---|
CN1795816A (en) | 2006-07-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Thiyagaraja et al. | A novel heart-mobile interface for detection and classification of heart sounds | |
US7520860B2 (en) | Detection of coronary artery disease using an electronic stethoscope | |
US6520924B2 (en) | Automatic diagnostic apparatus with a stethoscope | |
US6053872A (en) | Cardiac sonospectrographic analyzer | |
US20040260188A1 (en) | Automated auscultation system | |
US20170188978A1 (en) | System and method of measuring hemodynamic parameters from the heart valve signal | |
WO1998020792A1 (en) | Apparatus and methods for analyzing body sounds | |
CN103479383A (en) | Method and device for analyzing heart sound signals, and intelligent heart stethoscope provided with device for analyzing heart sound signals | |
US20060161064A1 (en) | Computer-assisted detection of systolic murmurs associated with hypertrophic cardiomyopathy | |
Sang et al. | Detection of normal and paradoxical splitting in second heart sound (S2) using a wearable accelerometer contact microphone | |
US7985186B2 (en) | Method and device for automatically determining heart valve damage | |
Granados et al. | Acoustic heart. Interpretation of phonocardiograms by computer | |
CN211270825U (en) | Artificial intelligence stethoscope | |
CN100512749C (en) | Automatic interpretation device for damaged condition of heart valve | |
CN117119020A (en) | System for monitoring human cardiopulmonary activity state by using mobile phone microphone as stethoscope | |
Hamzah et al. | Microcontrollers performance in portable electronic stethoscope design with a disease symptoms detection feature | |
Kumar | Automatic heart sound analysis for cardiovascular disease assessment | |
Chowdhury et al. | Quality Assessment of Respiratory Sounds Extracted from Self-Assembled Digital Stethoscopes | |
de Lima Hedayioglu | Heart sound segmentation for digital stethoscope integration | |
Prasanga et al. | Auscultation based stethoscopic diagnostic device for cardiac murmur identification | |
Arathy et al. | PC based heart sound monitoring system | |
Singh et al. | Heart Condition Monitoring Using Phonocardiogram and Murmurs Analysis by CNN | |
Michał | Preliminary study: mobile phone as a phonocardiographic signal recorder | |
Hishida et al. | Basic Research on the Development of an Automatic Heart Sound Diagnosis System-Analysis of Heart Sounds for Learning Policy and Experiment for the Prototype of the Auscultation Part | |
Sang | ANALYSIS OF SEISMOCARDIOGRAM SIGNALS FROM HEALTHY AND UNHEALTHY SUBJECTS USING AN ACCELEROMETER CONTACT MICROPHONE |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090715 Termination date: 20191223 |