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Publication numberCN100459934 C
Publication typeGrant
Application numberCN 200610113677
Publication date11 Feb 2009
Filing date12 Oct 2006
Priority date12 Oct 2006
Also published asCN1931091A
Publication number200610113677.1, CN 100459934 C, CN 100459934C, CN 200610113677, CN-C-100459934, CN100459934 C, CN100459934C, CN200610113677, CN200610113677.1
Inventors于华章, 舟 陆
Applicant北京飞天诚信科技有限公司
Export CitationBiBTeX, EndNote, RefMan
External Links: SIPO, Espacenet
Identity identifying method and system
CN 100459934 C
Abstract  translated from Chinese
本发明公开了一种身份鉴定方法,包括:获取被鉴定者的生物电信号;将所述生物电信号处理成生物电特征向量;将所述生物电特征向量与预存的相应特征向量模板进行匹配比较;如匹配比较结果达到预设条件,则确认该被鉴定者。 The present invention discloses a method of identification, including: Gets the assessor of biological signals; processing the biological signals into bioelectrical feature vector; the corresponding features of the bioelectrical feature vectors stored in the vector template matching Compare; such as matching the comparison result reaches the preset conditions, confirm that to be an evaluator. 本发明还公开一种身份鉴定系统。 The present invention also discloses a system identification. 本发明可提高身份鉴定的可靠性和安全性。 The present invention can improve the reliability of identification and security.
Claims(10)  translated from Chinese
1、一种身份鉴定方法,其特征在于,包括: 获取被鉴定者的生物电信号,所述生物电信号包括心肌生物电信号和脑电波信号; 通过放大处理、滤波处理与模拟/数字转换,将所述生物电信号处理成生物电特征参数: 依据生物电信号的特征参数计算生物电特征向量; 将所述生物电特征向量与预存的相应特征向量模板进行匹配比较; 如匹配比较结果达到预设条件,确认该被鉴定者身份合法; 其中,将所述生物电信号处理成生物电特征参数,进一步包括: 计算生物电信号一个波形周期中的斜率; 计算生物电信号一个波形周期中峰值时间; 计算生物电信号周期波形内采样点值的方差; 计算生物电信号周期波形的高阶矩; 计算生物电信号周期波形的协方差。 An identification method, comprising: obtaining biological signals evaluator was, said biological signals including myocardial biological signals and brain wave signals; by amplifying processing, filtering processing and analog / digital conversion, the biological signal processing into bio-electrical characteristic parameters: the characteristic parameters of the biological basis for the calculation of bioelectric signals feature vector; the corresponding features of the bioelectrical feature vectors stored in the vector template matching compare; reach as pre-match comparison results set conditions, to confirm the identity of the evaluator is legitimate; wherein, as said biological signal processing bioelectric characteristic parameters, further comprising: calculating a bioelectric signals as the slope of the waveform cycle; calculating a bioelectric signal waveform peak time period ; calculate the variance within biological signals cycle waveform sample values; calculating higher moments biological cycle waveform signals; calculating biological cycle waveform signals covariance.
2、 根据权利要求1所述的方法,其特征在于,所述计算生物电信号一个波形周期中的斜率包括:计算生物电信号中每一个周期内生物电信号的波形从起始点到第一个波峰的上升斜率;从第一个波谷到第二个波峰的上升斜率;从波峰到最低点的下降斜率;最后一个波峰的上升斜率。 2. The method according to claim 1, characterized in that the biological signals to calculate the slope of a waveform cycle comprising: calculating biological signals within each cycle of the waveform of bioelectric signals from the starting point to the first peaks rising slope; trough from the first to the second peak of the rising slope; decline from peak to the lowest point of the slope; the last peak rising slope.
3、 根据权利要求1所述的方法,其特征在于,所述计算生物电信号一个波形周期中峰值时间包括:计算每一个周期内生物电信号的波形从起点到第一个波峰所用的时间;从第一个波峰到最后一个波峰所用的时间。 3. The method according to claim 1 or claim 2, wherein said calculating a bioelectric signals peak waveform cycle time comprises: calculating biological signals within each cycle of the waveform from the start point to the first peak time used; From the first to the last peak of the peak use times.
4、 根据权利要求1所述的方法,其特征在于,所述计算生物电信号周期波形内采样点值的方差包括:计算前n个周期波形信号内采样点值的方差,并计算出n个方差的平均值。 4. The method according to claim 1 or claim 2, wherein said calculating the variance within biological signals cycle waveform sample values include: n before calculating the variance within one period of the waveform signal sample values, and to calculate the n-th mean variance.
5、 根据权利要求1所述的方法,其特征在于,所述计算生物电信号周期波形的高阶矩包括:计算前n个周期波形信号中每个周期的4阶矩,并计算出前n个波形信号周期4 阶矩的平均值。 5. The method according to claim 1 or claim 2, wherein said calculating higher moments biological cycle of the waveform signals include: 4 n order moments before calculating a periodic waveform signals each cycle, and calculate before the n-th 4 order moments waveform signal period average.
6、 根据权利要求1所述的方法,其特征在于,所述计算生物电信号周期波形的协方差包括:计算前n个周期波形信号相邻两周期的协方差。 6. A method according to claim 1 or claim 2, wherein said calculating covariance periodic waveform bioelectric signals comprises: calculating n cycles before the signal waveform of the covariance of two adjacent cycles.
7、 根据权利要求1所述的方法,其特征在于,所述根据特征参数生成特征向量的方法是将特征参数按一定的顺序排列。 7. A method according to claim 1 or claim 2, characterized in that the method according to the characteristic parameters of the feature vector is generated characteristic parameters arranged in a certain order.
8、 根据权利要求1至7中任一项所述的方法,其特征在于,采用矢量量化法、隐马尔可夫模型法、遗传算法、动态时间规整法或神经网络法进行匹配比较。 8. The method according to any one of claims 1-7 claim, characterized in that the method using vector quantization, matching HMM comparison method, genetic algorithm, dynamic time warping method or a neural network method.
9、 根据权利要求1至7中任一项所述的方法,其特征在于,所述心肌生物电信号通过测量人体两手之间的电位差获取。 9. A method according to any one of claims 1 to 7, Claim, wherein said cardiac electrical signal by measuring the biological potential difference between the acquired human hands.
10、 根据权利要求1至7中任一项所述的方法,其特征在于,所述获取被鉴定者生物电信号,包括:获取被鉴定者的生物电信号,同时获取被鉴定者电阻、体温与/或湿度信号; 将电阻、体温与/或湿度信号与上述生物电信号共同作为被鉴定者的生物电信号。 10. The method as claimed in any one of claims 1-7, characterized in that the evaluator acquires biological signals, comprising: obtaining biological signals by the evaluator, and acquires the evaluator resistance, temperature and / or humidity signal; resistance, temperature and / or humidity signal and the biological signals are common as evaluator of biological signals.
Description  translated from Chinese

一种身份鉴定方法及系统 An identity authentication method and system

技术领域 Technical Field

本发明涉及身份鉴定领域,特别是涉及一种身份f、定方法及系统。 The present invention relates to the field of identification, particularly to an identity f, given method and system. 背景技术 Background

身份鉴定是用于确认身份的唯一性和合法性.在银行、CA中心、公安系统等信息及安全领域有相当广泛的应用。 Identification is unique and is used to confirm the identity of legality in the field of Information and Security Bank, CA centers, public security system, there is a wide range of applications. 为增强安全性,提高办事效率,要求身份鉴定必须快速、准确地识别被鉴定者的特征信息,验证被鉴定者真实身份。 To enhance safety, improve efficiency, requires identification must quickly and accurately identifying feature information appraisers and verified by an evaluator true identity.

现有技术中,身份鉴定技术主要有密码鉴定技术和生物特征鉴定技术。 Prior art identification technologies include password and biometric identification technology identification technology. 密码鉴定技术需要被鉴定者输入在鉴定系统内输入标识号码及密码,根据标识号码和密码是否匹配确定 Password identification technology evaluators need to be entered in the identification system identification number and password input, determined in accordance with the identification number and password match

:帔鉴定者身份是否合法,鉴定时,只需被鉴定者输入正确的标识号码及密码即可得到身份确认,具有快速、方便的优点。 : Cape appraiser identity is legitimate, when identified, simply input the correct identification number assessor and password to get identification, with fast and convenient advantages. 但是,密码鉴定技术缺陷非常明显。 However, the password identification technology flaws are apparent. 主要是安全性不高, 标识号码与密码只是为被鉴定者编辑的一组数据,非法人员可以采用偷盗、窺视、及网上石皮译软件等手段获取到这些数据,这样,非法人员使用不正常手段获取的标识号码和密码时,就会被误确认为身份合法,便可随心所欲侵害当事人利益。 Mainly security is not high, identification number and password just for a set of data to be edited evaluators, illegal workers can steal, spy, and online stone skin translation software and other means to obtain these data, so that the use of illegal workers are not When the normal means of access to the identification number and password, you will be mistaken identity recognized as legitimate, you can freely against the interests of the parties. 现实中,此类事件也经常发生。 In reality, such incidents often occur.

将人体生物学特征或行为特性应用于身份鉴定,则可在一定程度上克服密码鉴定技术的不足。 The biological characteristics of the human or behavioral characteristics apply to identification, it may be to some extent overcome the lack of password identification technology. 经科学论证,每个人的生物学特征是唯一的,其重复的概率可以忽略不计。 Scientific proof, biological characteristics of each person is unique, its repeated negligible probability. 目前利用人体生物学特征进行身份鉴定主要是利用人体脸像、虹膜、指紋、掌紋、声音、笔迹、 步态等特征。 Current use of the biological characteristics of human identification is mainly the use of human face images, iris, fingerprints, palm prints, voice, handwriting, gait and other features.

参阅图),为现有技术中利用指紋进行身份鉴定的方法流程图,具体步骤如下: 步骤101、将需验证的人群的指纹编号记录在系统内指纹库中; 步骤102、获取被鉴定者指纹,并输入系统; See Figure), in the prior art using fingerprint identification is a flowchart of a method, follow these steps: Step 101, will be required to verify the number of people recorded in the system fingerprint fingerprint database; step 102, acquires fingerprint iden and enter the system;

步骤103、输入该被鉴定者编号,调出预存的该标号对应的指紋,与获得的指紋相比 Step 103, enter the number to be an evaluator, call out to the stored fingerprint corresponding to the index, compared with fingerprints obtained

较; Relatively;

步骤104、如两指紋可重叠的比例达到要求,则确定该被鉴定者身份为合法身份。 Step 104, as the ratio of two overlapping fingerprints may meet the requirements, it is determined that the identity of the legal status is an evaluator. 但是,利用指紋技术进行身份识別也有其不足,如高科技的生物技术可能对指紋进行仿制,或在乳胶中隐去指紋,这会给指紋识别技术带来一定的隐患。 However, the use of fingerprint identification technology also has its drawbacks, such as high-tech biotechnology may fingerprint imitation, or faded fingerprints latex, this fingerprint recognition technology will bring some risks. 其它如利用人脸、声音、步态等识别技术都在一定程度上存在被仿冒的隐患,比如人脸可以通过照片作假,声 Others, such as the use of a human face, voice, gait recognition counterfeiting risks exist to some extent, such as a human face through photo fraud, sound

音和笔记可以被模仿。 Tone and notes can be imitated. 因此,上述身份鉴定技术都存一定安全隐患,其可靠性和安全性尚存缺陷。 Therefore, the above identification techniques exist certain security risks, reliability and safety of the remaining flaws.

发明内容 DISCLOSURE

有鉴于此,本发明提供一种身份鉴定方法及系统,用于提高身份鉴定的可靠性和安全性。 In view of this, the present invention provides an identification method and system for improving the reliability of identification and security.

本发明一种身份鉴定方法,获取被鉴定者的生物电信号,所述生物电信号包括心肌生物电信号和脑电波信号;通过放大处理、滤波处理与模拟/数字转换,将所述生物电信号处理成生物电特征参数;依据生物电信号的特征参数计算生物电特征向量;将所述生物电特征向量与预存的相应特征向量模板进行匹配比较;如匹配比较结果达到预设条件,确认该被鉴定者身份合法; An identity authentication method of the present invention, acquires biological signals evaluator, said biological signals including myocardial biological signals and brain wave signals; by amplifying processing, filtering processing and analog / digital conversion, the biological signals processed into bio-electrical characteristic parameters; based on the characteristic parameters of biological signals to calculate bioelectrical feature vector; the corresponding features of the bioelectrical feature vectors stored in the vector template matching compare; match the comparison result as a preset condition, which has been confirmed assessor legal status;

其中,所述在处理后的生物电信号中提取生物电特征参数包括: Wherein said bioelectric characteristic parameters extracted in the post-processing bioelectric signals comprises:

计算生物电信号一个波形周期中的斜率; Calculation of biological signals in the slope of a waveform cycle;

计算生物电信号一个波形周期中峰值时间; Computational Biology electrical waveform cycle peak time;

计算生物电信号周期波形内采样点值的方差; Calculate the variance of biological signals cycle waveform sampling point value;

计算生物电信号周期波形的高阶矩; Calculated higher moments of biological signals cycle waveform;

计算生物电信号周期波形的协方差。 Computational Biology electrical cycles of the waveform covariance.

优选的,所述计算生物电信号一个波形周期中的斜率包括:计算生物电信号中每一个周期内生物电信号的波形从起始点到第一个波峰的上升斜率;从第一个波谷到第二个波峰的上升斜率;从波峰到最低点的下降斜率;最后一个波峰的上升斜率。 Preferably, the biological signals to calculate the slope of a waveform cycle include: calculation of internal biological signals in each cycle of the waveform of biological signals from the starting point to the first peak of the rising slope; from the first to the first trough Two peaks rising slope; decline from peak to the lowest point of the slope; the last peak rising slope.

优选的,所述计算生物电信号一个波形周期中峰值时间包括:计算每一个周期内生物电信号的波形从起点到第一个波峰所用的时间;从第一个波峰到最后一个波峰所用的时间。 Preferably, the biological signals to calculate a waveform cycle peak times include: calculation of biological signals during each cycle of the waveform from the start to the first peak of the time spent; from the first crest to crest used last time .

优选的,所述计算生物电信号周期波形内采样点值的方差包括:计算前n个周期波形信号内采样点值的方差,并计算出n个方差的平均值。 Preferably, the calculation of variance within biological signals cycle waveform sample values include: n before calculating the variance within one period of the waveform signal sample values, and calculate the average value of n variance.

优选的,所述计算生物电信号周期波形的高阶矩包括:计算前n个周期波形信号中每个周期的4阶矩,并计算出前n个波形信号周期4阶矩的平均值。 Preferably, the calculation of the biological cycle of the waveform signals higher moments include: n cycles before calculating the waveform signal in order moments of each cycle 4 and computes the average of 4 order moments before the n cycle waveform signal.

优选的,所述计算生物电信号周期波形的协方差包括:计算前n个周期波形信号相邻两周期的协方差。 Preferably, the biological signals periodic waveform computing covariance include: n cycles before calculating the covariance of two adjacent waveform signal cycle.

优选的,所述根据特征参数生成特征向量的方法是将特征参数按一定的顺序排列。 The preferred method, according to the characteristic parameters of the feature vectors is generated characteristic parameters arranged in a certain order. 优选的,采用矢量量化法、隐马尔可夫模型法、遗传算法、动态时间规整法或神经网络法进行匹配比较。 Preferably, the use of vector quantization method, hidden Markov models, genetic algorithms, dynamic time warping method or a neural network method for matching comparison.

优选的,所述生物电信号的通过测量人体两手之间的电位差获取。 Preferably, the biological signals obtained through measuring the potential difference between the human hands.

优选的,所述获取被鉴定者生物电信号,包括:获取被鉴定者的生物电信号,同时获 Preferably, the acquisition is an evaluator of biological signals, comprising: obtaining a biological electrical signal is evaluator, while eligible

取被鉴定者电阻、体温与/或湿度信号;将电阻、体温与/或湿度信号与上述生物电信号叠 Take been evaluator resistance, temperature and / or humidity signal; resistance, temperature and / or humidity signal and the biological signals overlap

加后,作为被鉴定者的生物电信号。 After the addition, as is the biological signals evaluator.

与现有技术相比,本发明具有以下优点: Compared with the prior art, the invention has the following advantages:

本发明将生物电信号用于身份鉴定,生物电信号是每个人独有的生物学特征,其可重复的概率完全可以忽略不计,并且无可仿冒,充分保证身份鉴定的可靠性与安全性。 The invention of biological signals for identification, biological signals is unique to each person's biological characteristics, it can be repeated chance to completely negligible, and no counterfeiting, and fully guarantee the reliability of identification and security.

优选的,本发明采用心肌生物电信号和脑电波信号,心肌生物电信号和脑电波信号特征明显,易于获取和处理。 Preferably, the present invention employs cardiac bioelectric signals and brain wave signals, cardiac biological signals and brain wave signals feature clear, easy to acquire and process.

优选的,本发明可同时获取被鉴定者电阻、体温与/或湿度信号。 Preferably, the present invention can be obtained by appraisers resistance, temperature and / or humidity signals. 将电阻、体温与/或湿度信号与生物电信号叠加后,作为被鉴定者的生物电信号,结合被鉴定者多种生物特征 After resistance, temperature and / or humidity signal superimposed with biological signals, as are biological signals evaluator, combined by a variety of biometric iden

进行鉴定,进一步增强身份鉴定的可靠性和安全性。 Identification, further enhancing the reliability of identification and security. 附图说明 Brief Description

图】为现有技术中利用指紋进行身份鉴定的方法流程图; 图2为本发明身份鉴定方法实施例的流程图; Figure] in the prior art using fingerprint identification is a flowchart of the method; FIG. 2 is a schematic flow diagram identification method according to an embodiment;

图3为人体心肌生物电信号在一个周期电位差随时间的变化示意图; Figure 3 is a schematic view of the difference between human cardiac bioelectric signals over time in one cycle potential;

图4为被鉴定者的心肌生物电信号的波形图; Figure 4 is an evaluator of cardiac bioelectric signals of the waveform;

图5为被鉴定者的心肌生物电信号的波形图; Figure 5 is a waveform diagram evaluator of cardiac biological signals;

图6为人体心肌生物电信号的主要特征参数检测示意图; Figure 6 is the key parameters of the human cardiac biological signal detection schematic;

图7为本发明身份鉴定系统实施例的示意图; 7 of the present invention identification system schematic of an embodiment;

图8为本发明信号放大单元实施例的电路图。 Figure 8 is a circuit diagram of the invention, the signal amplification unit implemented.

具体实施方式 DETAILED DESCRIPTION

为使本发明的上述目的、特征和优点能够更加明显易懂,下面结合附图和具体实施方式对本发明作进一步详细的说明。 For the above-mentioned objects, features and advantages of the present invention will be more apparent from the accompanying drawings and the following specific embodiments of the present invention will be further described in detail.

本发明的核心思想是将生物电信号用于身份鉴定,生物电信号是每个人独有的生物学特征,其可重复的概率完全可以忽略不计,并且无可仿冒,充分保证身份鉴定的可靠性与安全性。 The core idea of the present invention is the biological signals for identification, biological signals is unique to each person's biological characteristics, it can be repeated chance to completely negligible, and no counterfeiting, and fully guarantee the reliability of the identification of and security.

生物电是生物体所呈现的电现象。 Bioelectricity is presented organism electrical phenomenon. 产生生物电的基础来自细胞膜内外的电位差。 The foundation produces bioelectricity from outside the cell membrane potential difference. 安静时,细胞内处于负电位,细胞外处于负电位,称"静息电位";兴奋时,瞬间细胞内的电位升高并超过了细胞外而相对地变成了正电位,暂时可变为内正外负,称"动作电位",这种电位的变化只持续几毫秒,兴奋过后又恢复原来的状态。 Quiet, at a negative potential intracellular, extracellular at a negative potential, called "resting potential"; when excited, the potential increase in intracellular moment and exceed the foreign cells into a relatively positive potential can be changed temporarily inside is outside the negative, saying "action potential", the potential of this change lasts only a few milliseconds, after the excitement has returned to its original state. 脑和心脏等器官所表现的复杂电变化,是它们的组成细胞电变化的总和,单个个体的生物电信号基本一致,不同个体的生物电信号存在较大的差异。 Complex electrical changes the brain and heart and other organs of the performance, is the sum of the electrical changes in the composition of their cell, biological signals of a single individual basically the same, there is a big difference between biological signals of different individuals.

基于生物电的生物特征身份鉴定是采用每个人独一无二的生物特征来验证其身份的合法性。 Biometric identification is the use of bio-based electricity each unique biological characteristics to verify the legitimacy of their identity. 从理论上说,生物特征认证是最可靠的身份认证方式,因为它直接使用人体内的生物特征信号来表示每一个人的身份,不同的人具有相同生物特征的可能性可以忽略不计, 并且不可能被仿冒,因此,具有极高的可靠性和安全性。 In theory, biometric authentication is the most reliable way of authentication, because it directly using the body's biological characteristic signal represents each individual's identity, different people with the same biometric possibility is negligible and does not It may be counterfeit, and therefore, with high reliability and security.

本发明通过专用的仪器获取被鉴定者生物电信号,生物电信号可以为人体心肌生物电 The present invention is a dedicated instrument to obtain biological signals evaluator, biological signals for human cardiac bioelectric

信号、脑电波信号等有较强特征的信号量。 There is a strong feature of the semaphore signals, EEG signals. 再将获取被鉴定者的生物电信号进行放大、滤波处理后,在处理后的图形进行特殊点A/D (模/数)转换,提取被鉴定者生物电信号的特^i参数,然后根据生物电特征参数计算生成被鉴定者的生物电特征向量。 Then acquires amplifies biological signals evaluator. After filtering, the graphics processing will be a special point after A / D (analog / digital) conversion, extraction was special ^ i parameter evaluator of biological signals, and then bioelectric characteristic parameter generated by bioelectric evaluator of feature vectors.

本发明将被鉴定者的生物电特征向量与预先存储在数据库中的该被鉴定者的生物电特征模板信号进行匹配。 The present invention is characterized by bioelectric signals of the template is the assessor assessor bioelectric feature vectors stored in the database match. 当匹配达到或超过预设的门限值时,确认被鉴定者身份合法:当匹配没有达到或超过预设的门限值时,确认被鉴定者身份非法。 When a match reaches or exceeds a preset threshold, confirming that the legal assessor identity: when a match does not reach or exceed a preset threshold, confirming that the illegal status evaluator.

参阅图2,为本发明身份鉴定方法实施例的流程图,具体步骤如下: Referring to Figure 2, the present invention is a method identification flowchart of one embodiment, the steps are as follows:

步骤201 、被鉴定者输入自己的标识号码; Step 201, the assessor enter their identification number;

被鉴定者输入自己的姓名、身份证号码或编号等标识号码,以便于在数据库中查找出与其相应生物电模板信号。 And other assessor is enter their name, ID number or serial number identification number in order to find out its corresponding template bioelectric signals in the database.

步骤202、获取被鉴定者的心肌生物电信号; ' 获取时需要用指夹式生物电信号检测器固定在被鉴定者的指端进行心肌生物电信号的采集。 Step 202 acquires cardiac bioelectric signals assessor; and 'getting needed finger clip detector fixed biological signals being finger evaluator performed cardiac biological signal acquisition. 可通过测量人体两手之间的电位差获取心肌生物电信号。 Get cardiac bioelectric signals can be the difference between the potential of the human body by measuring between both hands.

人体心肌生物电是由心脏的窦房结发出的一次兴奋,按一定的途径和进程,依次传向心房和心室,引起整个心脏的兴奋;因此,每一个心动周期中,心脏各部分兴奋过程中出i见的电变化传播方向、途径、次序和时间等都有一定的规律。 Human cardiac bioelectricity is an exciting issued by the sinus node of the heart, according to a certain way and the process, in turn transmitted to the atria and ventricles, causing the whole heart of the excitement; therefore, each cardiac cycle, heart during each part of the excitement i see a change in the direction of propagation of electricity, route, and time order has certain rules. 这种生物电变化通过心脏周围的导电组织和体液,反映到身体表面,使身体各部位在每一心动周期中也都发生有规律的电变化。 This bio-electrical changes around the heart through the conductive tissue and body fluids, reflected in the body surface, so that all parts of the body at each cardiac cycle are also a regular occurrence of electrical changes. 将测量电极放置在人体表面的一定部位记录出来的心脏电变化曲线能够反映心月庄兴奋的产生、传导和恢复过程中的生物电变化系。 The measuring electrodes are placed in certain parts of the body surface of the recording out of the heart's electrical heart curve can reflect Yuezhuang generate excitement, conduction and restore bioelectric system change process. 而该变化曲线反映的人体生物电信号在经过生物电放大器的放大后,能够被检测出来。 The curve of the human biological signals reflected after a bioelectrical amplifier amplification, can be detected.

请参阅图3,图3为人体心肌生物电信号在一个周期电位差(y轴)随时间(t轴)的变化示意图,该图所示波形是一个典型的生物电信号的波形图。 See Figure 3, Figure 3 is a schematic diagram of biological signals changes in the human heart in a period potential difference (y-axis) over time (t-axis) of the waveform shown in the figure is a typical biological electrical signal waveform. 图4、图5为两个不同被鉴定者的心肌生物电信号的波形图,经对比可以看出,虽然每个个体的心肌生物电信号的4寺征会随着检测部位和检测时刻的变化而有所差异,但是,同一个人的心肌生物电信号基本保持稳定,不同个体的心肌生物电信号却存在比较大的差异。 Figs. 4 and 5 are two different cardiac bioelectric signal waveform diagram evaluator, and by contrast can be seen, although each individual cardiac bioelectric signals of 4 Temple levy vary with the test sites and test time vary, however, the same person cardiac bioelectric signals remained stable cardiac bioelectric signals of different individuals but there are relatively large differences. 因此,通过心肌生物电信 Thus, by myocardial biological telecommunications

步骤203、对心肌生物电信号进行放大、滤波处理、模拟量/数字量的转换; 将采集到的心肌生物电信号通过心肌电信号放大器进行放大,并将放大后的心肌生物电信号进行滤波处理。 Step 203 myocardial biological signal amplification, filtering, analog / digital conversion; the collected cardiac biological signal amplification by cardiac electrical signal amplifier, and cardiac bioelectric signals amplified filtering process . 步骤204、对处理后的心肌生物电信号进行特殊点检测,并计算其特征参数; Step 204 myocardial biological signals processed special point detection, and calculate the characteristic parameters;

心肌生物电特征参数的提取是指提取生物电信号信号中表征人的基本特征,选取的特征必须能够有效地区分不同的被鉴定者,且对同一被鉴定者的变化保持相对稳定,同时要求特征参数计算简便,最好有高效快速算法,以保证识别的实时性。 Cardiac bioelectric characteristic parameter extraction means to extract biological signals signal characterizing the basic characteristics of the human, the selected features must be able to effectively distinguish different is evaluator, and the same is change assessor remained relatively stable, while the features of claim parameter calculation is simple, the best fast and efficient algorithms to ensure real-time identification.

图6为对人体心肌生物电信号的主要特征参数检测示意图,心肌生物电信号的特征参数包括生物电信号的顶点和谷点,与之相对的特征参数包括:上升及下降斜率kl、 k2、 k3、 1〈4,时间间隔t】、t2,具体表现为: Figure 6 is a main feature of the human cardiac parameters detected bioelectric signals schematic, characteristic parameters of biological signals include cardiac bioelectric signals vertices and valley points, as opposed to the characteristic parameters comprises: rising and falling slope kl, k2, k3 1 <4, the time interval t], t2, specific performance:

计算生物电信号一个波形周期中的斜率; Calculation of biological signals in the slope of a waveform cycle;

计算生物电信号一个波形周期中峰值时间; Computational Biology electrical waveform cycle peak time;

计算生物电信号周期波形内采样点值的方差; Calculate the variance of biological signals cycle waveform sampling point value;

计算生物电信号周期波形的高阶矩; Calculated higher moments of biological signals cycle waveform;

计算生物电信号周期波形的协方差。 Computational Biology electrical cycles of the waveform covariance.

所述计算生物电信号一个波形周期中的斜率包括:计算生物电信号中每一个周期内生物电信号的波形从起始点到第一个波峰的上升斜率;从第一个波谷到第二个波峰的上升斜率;从波峰到最4氐点的下降斜率;最后一个波峰的上升斜率; The slope of the Computational Biology electrical waveform cycle include: calculation of internal biological signals in each cycle of the waveform of biological signals from the starting point to the first peak of the rising slope; from the first to the second peak of the trough The rising slope; slope from crest to drop most 4 Di point; the last peak rising slope;

所述计算生物电信号一个波形周期中峰值时间包括:计算每一个周期内生物电信号的波形从起点到第一个波峰所用的时间;从第一个波峰到最后一个波峰所用的时间; From the first to the last peak peak time used; calculating biological signals during each cycle of the waveform from the start to the first peak of the time spent;: bioelectric signals a peak waveform cycle time includes the computing

所述计算生物电信号周期波形内采样点值的方差包括:计算前n个周期波形信号内采样点值的方差,并计算出n个方差的平均值; The calculation of variance within biological signals cycle waveform sample values include: n before calculating the variance within one period of the waveform signal sample values, and calculate the average value of n variance;

所述计算生物电信号周期波形的高阶矩包括:计算前n个周期波形信号中每个周期的4阶矩,并计算出前n个波形信号周期4阶矩的平均值。 The calculation period of the waveform of biological signals higher moments include: n before calculating a periodic waveform signals moment of order 4 of each cycle, and calculate the average of 4 order moments before n waveform signal cycle.

所述计算生物电信号周期波形的协方差包括:计算前n个周期波形信号相邻两周期的协方差。 The Computational Biology electrical cycles of the waveform covariance include: n cycles before calculating the covariance of two adjacent waveform signal cycle.

将计算后的结果作为心肌生物电信号的特征参数。 The results are calculated as cardiac parameters characteristic of biological signals. 步骤205、依据生物电信号的特征参数计算生物电特征向量; 将生物电信号的特征参数按一定顺序进行排列即可组成生物电的特征向量。 Step 205, based on the characteristic parameters of biological signals to calculate bioelectrical feature vector; the characteristic parameters of biological signals are arranged in a certain order can be composed of feature vectors bioelectricity. 步骤206、根据被鉴定者标识号码查找相对应的心肌生物电模板信息; 将所有可能被鉴定的人群按标识号码预置其心肌生物电模板信息到数据库,心肌生物电模板信息记录所对应人员的心肌生物电信号的特征向量。 Step 206, according to the evaluators identified by the corresponding number lookup cardiac bioelectric template information; all the people may be identified by the identification number of myocardial bioelectrical preset template information to the database, cardiac bioelectric template information corresponding to personnel records eigenvectors cardiac biological signals. 需要匹配时,根据被鉴定者输 When the need to match, according to the input by an evaluator

入的标识号码调出对应的心肌生物电的模板信息t The identification number to call up the corresponding cardiac bioelectric template information t

步骤207、将被鉴定者心肌生物电信号的特征向量与模板信息相比较,依据比较后的结果确定是否匹配。 Step 207, will be the feature vectors evaluators cardiac bioelectric signals compared with the template information, based on the results after comparison to determine whether the match.

是否匹配是指比较的结果是否超过预设的条件,预设条件可为固定的门限值,若超过, 则表示该被鉴定者通过身份鉴定。 Whether the match is the result of the comparison exceeds a preset condition, pre-conditions for a fixed threshold, if exceeded, it indicates that the appraiser is through identification. 若没有超过,则表示该用户没有通过身份鉴定。 If it does not, it means that the user is not identification.

本实施例中,匹配比较方法可采用矢量量化法、隐马尔可夫模型法、动态时间规整法或人工神经网络法进行匹配比较,上述方法已在音频领域有成熟的应用,其可靠性很高。 Its reliability is very high in this embodiment, the comparative method can be used to match the vector quantization method, hidden Markov model, dynamic time warping method or the artificial neural network matching comparison, the above method has been in the audio field has mature application, .

本实施例在步骤201中,获取被鉴定者心肌生物电信号的同时,还可同时获取被鉴定者一些生理特征信号,如电阻、体温及湿度等等: In this embodiment, step 201, it acquires the evaluators cardiac bioelectric signals, while also at the same time get some of the physiological characteristics of the signal to be evaluators, such as resistors, temperature and humidity and so on:

将上述信号与被鉴定者的生物电信号进行叠加后,再按实施例所述方法处理成生物电特征向量,与生物电模板信息进行匹配比较,进一步提高身份识别的可靠性和安全性。 After the above-described biological signal and the electrical signal is superimposed evaluator, for example, then the embodiment method handling a bioelectric characteristic vector, and the bioelectric template matching comparison information, to further improve the reliability of identification and security.

本发明所提出的基于人体生物电的身份鉴定方法还能够结合其他一些生物特征技术, 实现多生物特征信息的身份鉴定。 The present invention proposes a method of identification based on human bio-electricity can also be combined with some other biometric technology, multi-biometric identification information.

参阅图7,为本发明一种身份鉴定系统实施例的示意图,该系统包括获取单元701、 4言号处理单元7Q2、匹配计算单元703、确认单元704。 Referring to Figure 7, the present invention an identification system schematic of an embodiment, the system includes an acquisition unit 701, speech processing unit 4 7Q2, matching calculation unit 703, confirmation unit 704.

获取单元701通过专用的仪器获取被鉴定者生物电信号,生物电信号可以为人体心肌生物电信号、脑电波信号等有较强特征的信号量。 Get semaphore unit 701 through a dedicated instrument acquires the evaluator biological signals, biological signals for human cardiac bioelectric signals, EEG signals, which are strong features. 获取单元701通过测量人体两手之间的电位差获取生物电信号。 Acquisition unit 701 potential difference between both hands Get the body by measuring biological signals. 获取单元701将获取的生物电信号传送至信号处理单元702。 Acquisition unit 701 acquired biological electrical signal to the signal processing unit 702.

信号处理单元702包括信号放大单元70211 、滤波单元7022、模拟/数字转换单元7023、 特征向量生成单元7024。 The signal processing unit 702 includes a signal amplifying unit 70211, a filtering unit 7022, an analog / digital conversion unit 7023, feature vector generation unit 7024.

信号放大单元70211将采集到的生物电信号进行放大,并将放大后的生物电信号传送至滤波单元7022。 Signal amplification unit 70211 will be collected biological signal amplification, and transmits biological signals amplified to filter unit 7022.

滤波单元7022对接收到的信号进行滤波处理,并将滤波后的信号传送至模拟/数字转:换单元7023。 Signal 7022 received filtering unit filtering process, and the filtered signal to an analog / digital switch: conversion unit 7023.

模拟/数字转换单元7023依据特种电检测方法将生物电波形信号转换为特征参数,如: 计算生物电信号一个波形周期中的斜率; 计算生物电信号一个波形周期中峰值时间; 计算生物电信号周期波形内采样点值的方差; 计算生物电信号周期波形的高阶矩; Analog / digital converting unit 7023 in accordance with special electrical detection methods bioelectric waveform signal into feature parameters, such as: a bioelectric signals calculated slope waveform cycle; calculating a bioelectric signal waveform peak time period; calculated bioelectric signal period Variance in the waveform sample values; the higher moments Computational Biology electrical cycles of the waveform;

计算生物电信号周期波形的协方差。 Computational Biology electrical cycles of the waveform covariance.

所述计算生物电信号一个波形周期中的斜率包括:计算生物电信号中每一个周期内生物电信号的波形从起始点到第一个波峰的上升斜率:从第一个波谷到第二个波峰的上升斜率;从波峰到最低点的下降斜率;最后一个波峰的上升斜率。 The slope of the Computational Biology electrical waveform cycle include: calculation of internal biological signals in each cycle of the waveform of biological signals from the starting point to the first peak of the rising slope: from the first to the second peak of the trough The rising slope; slope from the peak to the lowest point decline; the last peak rising slope.

所述计算生物电信号一个波形周期中峰值时间包括:计算每一个周期内生物电信号的波形从起点到第一个波峰所用的时间:从第一个波峰到最后一个波峰所用的时间。 Calculation of biological signals during each cycle of the waveform from the start to the first peak time used:: from the first peak to peak last time used biological signals a peak waveform cycle time includes the calculations.

所述计算生物电信号周期波形内采样点值的方差包括:计算前n个周期波形信号内采样点值的方差,并计算出n个方差的平均值。 The calculation of the variance of biological signals cycle waveform sample values include: n before calculating the variance within one period of the waveform signal sample values, and calculate the average value of n variance.

所述计算生物电信号周期波形的高阶矩包括:计算前n个周期波形信号中每个周期的4阶矩,并计算出前n个波形信号周期4阶矩的平均值。 The calculation period of the waveform of biological signals higher moments include: n before calculating a periodic waveform signals moment of order 4 of each cycle, and calculate the average of 4 order moments before n waveform signal cycle.

所述计算生物电信号周期波形的协方差包括:计算前n个周期波形信号相邻两周期的协方差。 The Computational Biology electrical cycles of the waveform covariance include: n cycles before calculating the covariance of two adjacent waveform signal cycle.

将上述检结果作为生物电信号的特征参数,并将特征参数传送至特征向量生成单元7024。 The characteristic parameters of the test-result as biological signals and parameters of the transmission to feature vector generating unit 7024.

特征向量生成单元7024将特征参数按一定顺序进行排列即可组成生物电的特征向量, 并将生物电特征向量传送至匹配计算单元703。 Feature vector generating unit 7024 will feature parameters are arranged in a certain order can be composed of feature vectors bioelectricity and bio-electrical characteristics vector is transferred to the matching calculation unit 703.

匹配计算单元703在其数据库内调出该鉴定者的生物电模板信息,并生物电特征参数与模板信息进行匹配比较。 Recall matching calculation unit 703 in its database for the assessor's bioelectric template information, and bioelectric characteristic parameters match comparison with the template information. 匹配比较方法可选用采用矢量量化法、隐马尔可夫模型法、动态时间规整法或人工神经网络法进行匹配比较。 Match comparison method using vector quantization method can be used to match the relatively hidden Markov model, dynamic time warping method or artificial neural network method. 匹配计算单元703内置预设条件,预设条件可为固定的门限,只有当被鉴定者的生物电特征向量与预先存储的模板信息的匹配超过所述门限值时,输出信号高电平到确认单元704,否则输出低电平信号到确认单元704。 Matching calculation unit 703 built preconditions, preconditions for a fixed threshold, only when matching template information bioelectric assessor feature vectors stored exceeds the threshold value, the output signal of the high level to confirmation unit 704, or output low level signal to the confirmation unit 704.

确认单元704接收到高电平信号,确认该被鉴定者身份;接受到第电平信号,则认为该被鉴定者非法。 Confirmation unit 704 receives the high level signal to confirm the identity of being an evaluator; receive the first signal level is considered to be illegal evaluator.

获取单元701还用于获取被鉴定者电阻、体温和湿度信号,信号处理单元702还用于d夸电阻、体温与/或湿度信号与上述生物电信号叠加后处理。 Acquisition unit 701 for acquiring further resistance, temperature, and / or humidity signal evaluator resistance, temperature and humidity signal, the signal processing unit 702 is further configured to boast and d after the above-described superimposition processing bioelectric signals.

由于生物电信号十分微弱,在检测生物电信号的同时存在强大的干扰,因此,设计高质量的信号放大单元7021有许多技术困难,通常要求必须具备如下特性: Since biological signals very weak presence in the detection of biological signals at the same time a strong interference, therefore, the design of high-quality signal amplifying unit 7021 has a number of technical difficulties, usually it requires must have the following characteristics:

1、高输入阻抗,人体心肌的生物电信号是高阻抗的微弱信号源,所以生物电放大器的车命入阻抗必须比较高,从而减小信号源阻抗对生物电放大器的影响。 1, high input impedance, the human cardiac bioelectric signals are weak high impedance signal sources, so the bioelectrical impedance of the amplifier must drive life into a relatively high, thus reducing the influence of the source of bioelectrical impedance amplifier.

2、 高共模抑制比(CMRR),为了抑制人体所携带的工频干扰以及所测量的参数外的其他生理作用的千扰,须选用差分放大形式。 2, high common mode rejection ratio (CMRR), in order to suppress other physiological effects carried by the body frequency interference and the measured parameter thousand outside interference, are required to use the form of the differential amplifier.

3、 低噪声、低漂移,为了获得一定信/噪比的输入信号,对放大器的低噪声性能有严格的要求。 3, low noise, low drift, in order to obtain a certain signal / noise ratio of the input signal of the low noise performance of the amplifier, there are strict requirements. 理想的生物电放大器,能够抑制外界干扰使其减弱到和放大器的固有噪声为同一数量级。 Ideal bioelectric amplifiers, capable of suppressing external interference and it weakened to the inherent noise amplifiers for the same order of magnitude.

参阅图8,为本发明信号放大单元实施例的电路图,信号放大单元7021包括前级差分放大单元、直流补偿放大单元和后级放大单元。 Referring to Figure 8, the present invention is a circuit diagram of the signal amplification unit embodiment, the signal amplification unit 7021 includes a front-stage differential amplification unit, DC offset and post-stage amplification unit amplifying unit.

前级差分放大单元,包括运算放大器Al及连接其输入端的电阻Rl和电阻R2. Former-stage differential amplification unit, including an operational amplifier having an input connected to Al and the resistance Rl and resistor R2.

直流补偿》t大单元,包括运算放大器A2、电容C1、电容C2,电阻R5、电阻R6,运算放大器A2的负输入端通过R6电阻与运算放大器Al的输出端相连;运算放大器A2的输出端通过并联的电容C1和电阻R5与运算放大器Al相连;运算放大器A2的输出端与负输入端通过电容C2相连. DC offset "t large unit, includes an operational amplifier A2, the capacitor C1, capacitor C2, resistor R5, the resistor R6, the negative input terminal of the operational amplifier A2 is connected through a resistor R6 to the output terminal of the operational amplifier Al; and an output terminal of the operational amplifier A2 by parallel capacitor C1 and a resistor R5 connected to the operational amplifier Al; A2 output terminal of the operational amplifier and the negative input terminal is connected through a capacitor C2.

后级放大单元,包括运算放大器A3、电容C3、 R7电阻、电阻R8,运算放大器A3的负输入端通过R7电阻连接运算放大器Al的输出端;运算放大器A3的负输入端与输出端之间并联电阻R8和第三电容C3。 Post-stage amplification unit including an operational amplifier A3, the capacitor C3, R7 resistors, resistor R8, the negative input terminal of the operational amplifier A3 through a resistor R7 connected to the output terminal of the operational amplifier Al; parallel between the negative input terminal of the operational amplifier A3 and the output terminal resistor R8 and a third capacitance C3.

该电路的极化电压最大可以达到3OOmV ,所在交流耦合中减少极化电压的影响是必须的。 The polarization voltage of the circuit can be up to 3OOmV, where the AC coupling effect of the polarization voltage reduction is necessary. 在该电路中,釆用了直流补偿放大器来抵消直流偏移量。 In this circuit, it precludes the use of a DC offset compensation amplifier DC offset. 集成化仪用放大器作为生物电前置放大器时,由于极化电压的存在,前置放大器的增益只能在几十倍以内,这就使得集成化放大器作为前置^:大器时的共模抑制比不可能达到最高。 When the instrument amplifier as bioelectric preamplifier integrated, due to the polarization voltage gain of the preamplifier within only a few times, which makes integrated amplifier as a pre ^: the common-mode amplifier when impossible to achieve maximum suppression ratio.

在该电路中,经前级放大信号中的直流成分(包括极化电压以及仪用放大器的输入失调电压)由直流补偿电路消除。 In this circuit, the preamp signal of the DC component removing from the DC compensation circuit (including the polarization voltage and instrumentation amplifier's input offset voltage). 后级放大器承担着主要的放大任务,要求运放有很低的输入失调电压,以免高增益放大后,影响输出信号。 Post-amplifier bear the primary amplification tasks that required the op amp has a very low input offset voltage, high gain amplification so as not to affect the output signal.

以上对本发明所提供的一种身份鉴定方法及系统进行了详细介绍,本文中应用了具体个例对本发明的原理及实施方式进行了阐述,以上实施例的说明只是用于帮助理解本发明的方法及其核心思想;同时,对于本领域的一般技术人员,依据本发明的思想,在具体实施方式及应用范围上均会有改变之处,综上所迷,本说明书内容不应理解为对本发明的限制。 An identification of the above method and system of the present invention to provide a detailed description herein a case of the application of the principles and specific embodiments of the present invention have been described, the embodiment described above is only used to help understand the methods of the invention Its core idea; at the same time, those of ordinary skill in the art, according to the idea of the invention, in the specific embodiments and applications are subject to change place, Summing up the fans contents of this document should be construed as the present invention restrictions.

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Classifications
International ClassificationA61B5/117, G06F21/32, A61B5/04
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