• <tr id="yyy80"></tr>
  • <sup id="yyy80"></sup>
  • <tfoot id="yyy80"><noscript id="yyy80"></noscript></tfoot>
  • 99热精品在线国产_美女午夜性视频免费_国产精品国产高清国产av_av欧美777_自拍偷自拍亚洲精品老妇_亚洲熟女精品中文字幕_www日本黄色视频网_国产精品野战在线观看 ?

    Efficient Data Compression of ECG Signal Based on Modified Discrete Cosine Transform

    2022-08-23 02:15:48AshrafMohamedAliHassanMohammedAlzaidiSherifGhoneimandWaleedElNahal
    Computers Materials&Continua 2022年6期

    Ashraf Mohamed Ali Hassan,Mohammed S.Alzaidi,Sherif S.M.Ghoneim,3,and Waleed El Nahal

    1Electronics and Communications Engineering Department,Faculty of Engineering,Sinai University,Arish,CO 45511,Egypt

    2Department of Electrical Engineering,College of Engineering,Taif University,Taif,21944,Saudi Arabia

    3Faculty of Technology and Education,Suez University,Suez,43527,Egypt

    4Electronics and Communications Engineering Department,Faculty of Engineering,MSA University,CO 12585,Egypt

    Abstract:This paper introduced an efficient compression technique that uses the compressive sensing (CS) method to obtain and recover sparse electrocardiography (ECG) signals.The recovery of the signal can be achieved by using sampling rates lower than the Nyquist frequency.A novel analysis was proposed in this paper.To apply CS on ECG signal, the first step is to generate a sparse signal, which can be obtained using Modified Discrete Cosine Transform(MDCT)on the given ECG signal.This transformation is a promising key for other transformations used in this search domain and can be considered as the main contribution of this paper.A small number of wavelet components can describe the ECG signal as related work to obtain a sparse ECG signal.A sensing technique for ECG signal compression,which is a novel area of research,is proposed.ECG signals are introduced randomly between any successive beats of the heart.MIT-BIH database can be represented as the experimental database in this domain of research.The MIT-BIH database consists of various ECG signals involving a patient and standard ECG signals.MATLAB can be considered as the simulation tool used in this work.The proposed method’s uniqueness was inspired by the compression ratio (CR)and achieved by MDCT.The performance measurement of the recovered signal was done by calculating the percentage root mean difference (PRD),mean square error(MSE),and peak signal to noise ratio(PSNR)besides the calculation of CR.Finally, the simulation results indicated that this work is one of the most important works in ECG signal compression.

    Keywords: Compressive sensing; sparse; beats of hearts; compression ratio;percentage root mean difference

    1 Introduction

    The conventional method of recovering signals from measured information is based on the wellknown Shannon inspecting hypothesis,which states that the number of samples per second must be twice the highest frequency[1].The hypothesis of CS recommends that the small number of samples per second supports an improved strategy for a high sampling frequency of utilizing the earlier sparse signal.The desired signal is recreated[2,3].CS strategy significantly transforms the signal into a low dimensional estimation space,in which the number of samples is fewer than the Nyquist rate.It is also known as compressive sensing[4,5].The rising hypothesis of CS that blends computerized information acquisition with advanced information compression is used to create a novel era of signal recovery frameworks,which work at a signal’s natural data rate that is superior to its encompassing information rate[6].The current work aims to utilize a CS strategy directed toward ECG signal compression[7].ECG can be considered a robust framework in biomedical designing,because heart infection causes mortality globally [8].The ECG provides data around the heart and could be one of the foremost organic signals whose physiological and measurable feature can be modified against time [9].In an overview of such signals, Wavelet Transform (WT) is an essential transform in this search domain[10].WT has a wide application,including the signaling and code of the picture.The quick usage of WT can be performed by utilizing the sub-band(SB)filter banks[11].Candes et al.introduced a new transform named curvelet transform,which is created using ridgelet transform[12].

    The ECG signal is illustrated in Fig.1.It comprises P,Q,R,S,T,and U waves.A calculation is created to disengage the ECG properties naturally.The completed analysis starts by breaking down the initial ECG signal by using DWT as the mother wavelet.Then,it begins by canceling low and highfrequency components.At that point,it utilizes the preprocessed signal to naturally obtain properties from the ECG signal[13].Critical research works are given to the discovery of strategies that involve slope threshold strategies[14],digital filtering methods[15],and Shannon energy envelope methods[16].Moreover, others consider the utilization of the WT to cancel ECG noise signal as an efficient transformation [17].The ECG signal within the latter is gathered from the database of MIT/BIH utilizing the database of Physionet, and it can be organized in a content arrangement [18].Others use the fast wavelet transform to support sparse ECG noise signal as an efficient transformation[19].Medical professionals can make the transmission of ECG signals an indispensable and essential part of the whole procedure [20].Asgari et al.introduced a stationary wavelet transform and provide a vector machine combination to obtain Atrial Fibrillation [21].The drawbacks of the literature are their inefficient in representing the sparse signal.These lead to great gaps between proposed work and literature concerning the calculated CR and PRD.The proposed research paper achieved good results compared with the literature by enhancing the sparse ECG signal.This can be considered a novel idea in this domain of search.

    The paper is organized as follows.Section 2 introduces the foundation and inspiration concerning CS technique.Section 3 clarifies the previous works and counts the main later methods in this look zone.Section 4 portrays the arrangement of ECG signal for the normal person.Section 5 illustrates patterns and problems for obtaining an inadequate signal of ECG.Section 6 clarifies this work and its examination.Section 7 depicts the execution degree to approve the method utilized in this investigation.Section 8 covers the test results with explanations.Section 9 presents the conclusions derived from this proposed work.

    Figure 1:Typical ECG signal[8]

    2 Literature Review

    This section introduced CS by explaining the sparsity of signal and the mathematical model of CS.

    2.1 The Sparsity of Signal

    Compressed sensing could be a novel inquiry about range,which was presented in 2006.It became a key concept in different zones,thereby connecting science,computer science,and electrical building[22].A discrete-time signal X is assumed to occur in Rn.This signal can be expressed in terms of an orthonormal basis of N×1 vectors,[]as follows:

    whereψis the component sequence of X.Alternatively, Eq.(1) can be expressed in the form of a matrix.The signal has a K-sparse expansion, if K entries in S are non-zero, and (N-K) entries are zero.

    2.2 The Approach of the Compressed Sensing

    To test all the N components of X, we assume that M×1 (M<N) column inner products y are between x and vectors

    By substituting X given in Eq.(1),the following equation is obtained:

    whereθ= ?×ψis an M×N matrix.? is called an M×N testing matrix withas rows.? is fixed and is independent of the signal.The testing matrix ? can be used for any type of signal,and stability cannot be considered.Fig.2 demonstrates the compressed sensing approach.

    Figure 2:Compressed sensing test approach[1]

    3 Related Work

    The lossless compression calculation to compress electrocardiogram(ECG)signal is a productive calculation.This calculation has more memory necessities and depends on a basic and effective encoding conspire,which can be actualized with basic checking operations.Hence,it can be effectively executed in asset obliged microcontrollers, as those are commonly utilized in a few low-cost ECG observing frameworks [23].Another method presents the lossless ECG compression strategy.With the lossy methods, a few tests are trimmed off from the initial signal.Depending on the sort of lossy strategy utilized,the information dispensed with may or may not be recognizable to the client.A few lossy compression strategies have been detailed within the writing.These lossy compression strategies are emphatically included in lossless compression strategies due to potential twisting hazards[24].Another strategy is presented as previous work.This technique is based firstly on information extraction.Then,an inspecting method based on a client characterized limit esteem is connected on ECG taken after by Truncated Particular Esteem Deterioration.Changing the number of Particular Values of higher compression can be accomplished.The proposed method gives two factors,namely,Edge and Number of Solitary Esteem, which can be changed to attain ideal compression while keeping the error low [25].Another strategy was presented as related work.This procedure is based on highlights in compressing ECG signals that use an exceptionally constrained number of include bases[26].

    4 Formation of ECG Waveform

    The ECG wave,which consists of P wave,QRS complex,and T wave,is illustrated in Fig.1.These waves can be produced by the depolarization and repolarization of atria and ventricles[27,28].A few typical values for adequacy and length of ECG features are illustrated in Tabs.1 and 2.

    Table 1: ECG amplitudes

    Table 1:Continued

    Table 2: ECG time duration

    5 Trends and Challenges

    The determination of reasonable transforms to obtain sparse ECG signal is the foremost problem in this research paper.This sparse signal is valuable in using the CS method and in ensuring the remaking of the desired signal.Their excellent execution decides the reasonable transformation in this look zone to reproduce the initial signal.Here,the presented transform is an MDCT that provides a great result.This transform is the administrator transform in obtaining the sparse ECG signal through investigation.

    6 The Proposed Technique

    This section demonstrates the proposed technique, which is then investigated to determine how efficient ECG signal is obtained.

    6.1 Materials and Methods

    Fig.3 illustrates the proposed calculation that can be utilized for the compression of ECG signal and reconstruction.This figure demonstrates four compression and three reconstruction steps.Compression can be done through the first step by converting the ECG signal into a sparse signal by utilizing MDCT.The second step is applying the proposed CS method to the obtained sparse signal.The third step is the use of the quantization process on the sampled values obtained from the signal.The last step is encoding the values of the signal after being quantized.Fig.3 also illustrates the reconstruction step.In the first reconstruction step,a decoding algorithm is applied to the signal after compression.The second step is dequantizing the signal to get the sparse signal.The third step is applying Inverse Modified Discrete Cosine Transform(IMDCT)to the sparse signal.The obtained signal in the last step is the recovered ECG signal.The following section demonstrates the influence of presenting MDCT to obtain the sparse signal.It is the main objective of this paper.

    Figure 3:Block diagram of the proposed technique

    6.2 The Significance of the Proposed Method

    The proposed method is the most efficient approach for the compression of ECG signals.The significance of this strategy is the fact that the DCT gives more weight to low-pass coefficients than to high-pass coefficients,which helps in the easy compression of ECG signal.The corresponding formula illustrates the abovementioned statement and is described in the given equation:

    6.3 Analysis of the Proposed Transformation to Obtain Sparse ECG Signal

    The Discrete Cosine Transform (DCT) may be a Fourier-related change that is generally twice the length; it works on genuine information with symmetry.Modified Discrete Cosine Transform(MDCT)could be a direct orthogonal lapped change based on the thought of Time Domain Aliasing Cancellation(TDAC);it is outlined to be performed on sequential pieces of a bigger dataset.MDCT is inspected,which implies that although it is 50%covered,a piece of grouping information after MDCT has the same number of coefficients as tests, which sometimes recently change.When consequent squares of conversely changed information are included,the change’s blunders cancel out TDAC.The MDCT is characterized as follows:

    where x(n),n=0,1,2,...,N-1 is the sequence to be transformed,N=2M is the window length,and M is the number of transform coefficients.The computation burden can be simplified and rewritten in the following equation:

    where

    Vm=x(m)+2cosθkVm-1-Vm-2, m=N-1, N-2,...,1, 0

    and

    The inverse MDCT is the IMDCT.Diverse inputs and yields are present.Thus,it might appear that the MDCT ought not to be invertible to begin with look.Idealized invertibility is accomplished by including the covered IMDCTs of ensuing covering pieces,thereby leading to the cancellation of mistakes and the recovery of the initial information.The IMDCT transforms the M real coefficients,XC(0), XC(1),..., XC(M-1), into N=2M real numbers, x(0), x(1),..., x(N-1), according to the formula:

    Again,Eq.(5)can be rewritten in the following equation:

    where Vm=XC(m)+2 cosθnVm+1-Vm+2

    and

    DCTs and Discrete Sine Transforms (DSTs) are the best classifications of sinusoidal unitary transforms.

    Let{x(n);n=0,1,2,...,N}be a vector of real numbers.The definition of four known kinds of DCT is expressed as follows:

    DCT-I-E

    where

    DCT-II-E

    where

    DCT-III-E

    A quiet pride settled over us as we sat on that play-ground bench, Ronny’s hand now in mine. I at once wept and marveled at the young boy beside me. What a powerful contribution the author of that Little Golden Book had made in the life of a disadvantaged child.

    where

    DCT-IV-E

    A Modified DCT

    where

    7 Performance Measurement

    Essential parameters that are considere d to measure the performance of compressed signal are compression ratio(CR),percentage root mean difference(PRD),peak signal-to-noise ratio(PSNR),and mean square error(MSE).These parameters will be utilized as execution degrees to approve this work and decide its strength in its look zone.Therefore,these parameters are talked about briefly in this section.

    7.1 Compression Ratio

    The compression ratio(CR)is one of the most vital parameters that express the performance test for compression of the signal.It can be characterized as the data rate ratio that speaks to the initial signal to the data rate needed to spare the compressed signal.Therefore,all compression calculations can minimize information capacity by killing the excess on the off chance that accesses.This concept makes a difference in expanding the Compression Ratio[29].

    7.2 Percent Root Mean Difference

    The PRD introduces a sign of the contrast between the initial ECG signal and the recuperated signal.This basic is used for showing the mutilations in recouping the ECG signal.The PRD has three sorts for ECG data compression[8]that appeared in conditions(22)–(24).Assume that x1(n)is the desired signal with length N.The x2(n)is the reconstructed signal that also has the same length N.

    7.3 Mean Square Error

    Mean square error(MSE)measures the average of the squares of the errors,that is,the average squared difference between the estimated and actual values.MSE is characterized as follows[30]:

    where xn, yn, and N are assumed to be the initial signal, the recovered signal, and the signal’s order,respectively.

    7.4 Peak Signal to Noise Ratio

    Peak signal-to-noise ratio (PSNR) is an engineering term for the ratio between the maximum possible signal’s power and the power of noise.PSNR can be characterized as follows[31–33]:

    where xpeakis the maximum value of the input data,andσ2dis the MSE.

    8 Experimental Results and Explanations

    The database of MIT-BIH was selected to measure the ECG signal.The computer program was run by utilizing the MATLAB tool.Numerous analysts have presented distinctive compression calculations for ECG signals.In this investigation,an assessment of information compression calculations uses the most known parameters in this search area,namely,CR,PRD,MSE,and PSNR.The sampling rate was chosen to be 1 kHz.Simulations are performed for different records of ECG signals.Fig.4 shows the original ECG signal and the sparse signal generated from the proposed approach and various other methods.Figs.5 and 6 illustrate the desired ECG and reconstructed signals for typical people after utilizing the proposed strategy on the four latest methods within The space of rummage around diverse registered data.Figs.7 and 8 illustrate the desired ECG and reconstructed signals for persistent people.Figs.9 and 10 demonstrate the compression ratio against the number of ordinary and persistent people tests individually for diverse works.Figs.11 and 12 show the PRD against the number of tests of ordinary and understanding people individually for various techniques.The results are compared with the execution of the past compression calculations to gauge the calculation execution precisely.These comparisons are outlined in Tabs.3 to 6 for ordinary and quiet people separately to determine under what limits this work procedure accomplishes a great result.The results in these Tabs.are taken for several tests(break even to 1000).Test results show that the MDCT presents a fantastic representation for smooth ECG signal and has high accuracy.

    Figure 4:The sparse signal generated from different works

    Figure 5:Initial signal and reconstructed signal for normal persons at record 100

    CS-based ECG compression achieved an excellent result concerning its DWT approach, and Figs.5–8 addressed this fact.These figures endorse the prevalence of this strategy calculation.The impacts of expanding the number of CR and PRD tests for typical and persistent people are outlined in another figure.

    The results are obtained for typical and persistent people.The simulation results cover different cases to give more declaration of the priority of the proposed technique.

    Figure 6:Initial signal and reconstructed signal for normal persons at record 105

    Figure 7:Initial signal and reconstructed signal for abnormal persons at record 425

    Figure 8:Initial signal and reconstructed signal for abnormal persons at record 605

    The analysts put CR as a challenging issue that is coordinated with the best performance.The simulation results demonstrate that CR within the proposed strategy accomplishes amazing results.Figs.9 and 10 illustrate this fact.

    Figure 9:CR vs.the number of samples for normal persons at(a)Record 100 and(b)Record 105

    Figure 10:CR vs.the number of samples for patient persons at(a)Record 420 and(b)Record 425

    Fig.11 illustrates that this strategy has a PRD with accepTab.values.Moreover,the PRD values of this work for the distinctive number of tests are superior to the four latest procedures within the same look zone.

    Figs.11 and 12 show that this work is appropriate for realizing the minimum distortion between the initial and recovered signals.Moreover,they indicate that this work is vigorous in its look zone.

    Figure 11:PRD vs.the number of samples for normal persons at(a)Record 100(b)Record 105

    Figure 12:PRD vs.the number of samples for patient persons at(a)Record 420(b)Record 425

    Tabs.3 to 6 show that the proposed technique is efficient in many points.First, this technique achieved a better CR compared with the previous approaches,because it needs fewer coefficients to represent the sparse signal.MDCT is characterized by using fewer coefficients to represent the signal.Second,the proposed approach has an efficient PRD value compared with the previous techniques.Applying MDCT to the signal results in nearly optimal performance of the typical signal with high correlations with the adjacent samples.Third, the proposed approach has excellent MSE due to the faster convergence rate achieved by using MDCT.Fourth, the proposed approach has good PSNR due to better noise cancellation,which can be achieved by applying MDCT to a given signal.

    Table 3: Performance comparison for normal persons for Record 100

    Table 4: Performance comparison for normal persons for Record 105

    Table 5: Performance comparison for patient persons for Record 420

    Table 6: Performance comparison for patient persons for Record 425

    9 Conclusions

    A recent approach used for upgrading the sparse signal of ECG is introduced.CS may be a valuable device for disposing wasteful aspects that result from trivial signal preparing calculations.Simulation results illustrate that the MDCT compression method has the best performance in the related works introduced in this paper.This performance is measured in terms of CR,PRD,PSNR,and MSE.The proposed calculations have the highest CR and the lowest PRD compared with the previous works.The increase in CR and reduction in the values of PRD are considered a great contribution in this paper.Moreover, MSE and PSNR are reduced also when using the proposed approach.These results are valid for both normal and patient persons.CS shows that compression coefficients can utilize a set of association weights extricated from a prepared Spiking Neural Arrange.This idea is a recommended topic for future works.

    Funding Statement:The authors received no specific funding for this study.

    Conflicts of Interest:The authors declare that they have no conflicts of interest to report regarding the present study.

    极品教师在线视频| 久久99热这里只有精品18| 波野结衣二区三区在线| 久久精品国产亚洲av涩爱 | 久99久视频精品免费| 97热精品久久久久久| 最近视频中文字幕2019在线8| 女生性感内裤真人,穿戴方法视频| 女生性感内裤真人,穿戴方法视频| 深夜精品福利| 最好的美女福利视频网| 999久久久精品免费观看国产| 不卡视频在线观看欧美| 老司机午夜福利在线观看视频| 给我免费播放毛片高清在线观看| 超碰av人人做人人爽久久| 他把我摸到了高潮在线观看| 国产精品三级大全| 我要搜黄色片| 一级毛片久久久久久久久女| 狂野欧美激情性xxxx在线观看| 国产男人的电影天堂91| 麻豆国产97在线/欧美| 日本 av在线| 久久精品久久久久久噜噜老黄 | 少妇高潮的动态图| 亚洲在线观看片| 老女人水多毛片| 亚洲男人的天堂狠狠| 91精品国产九色| 国产精品永久免费网站| 国产大屁股一区二区在线视频| 国产精品永久免费网站| 久久99热6这里只有精品| 国模一区二区三区四区视频| videossex国产| 久久久久国内视频| 一本一本综合久久| 欧美xxxx性猛交bbbb| 99精品久久久久人妻精品| 日本黄色片子视频| 久久国产精品人妻蜜桃| 免费看av在线观看网站| 乱系列少妇在线播放| 精品欧美国产一区二区三| 18禁黄网站禁片午夜丰满| 国产精品伦人一区二区| 亚洲欧美日韩高清在线视频| av专区在线播放| 亚洲,欧美,日韩| 两性午夜刺激爽爽歪歪视频在线观看| 日韩精品中文字幕看吧| 波野结衣二区三区在线| 国产高清视频在线播放一区| 日本与韩国留学比较| 成人国产麻豆网| АⅤ资源中文在线天堂| 18禁在线播放成人免费| 久久久久性生活片| 韩国av一区二区三区四区| 人人妻,人人澡人人爽秒播| 欧美一区二区国产精品久久精品| 亚洲欧美清纯卡通| 中亚洲国语对白在线视频| 老熟妇仑乱视频hdxx| 婷婷精品国产亚洲av在线| 免费电影在线观看免费观看| 69av精品久久久久久| 又爽又黄无遮挡网站| 国产aⅴ精品一区二区三区波| 亚洲,欧美,日韩| 日韩精品青青久久久久久| 亚洲av免费在线观看| 免费大片18禁| 毛片女人毛片| 久久久国产成人精品二区| 日韩欧美国产在线观看| 亚洲欧美日韩东京热| 国产精品久久久久久久电影| 日韩一本色道免费dvd| 欧美+亚洲+日韩+国产| 亚洲精品日韩av片在线观看| 色噜噜av男人的天堂激情| avwww免费| 一进一出好大好爽视频| 国产精品,欧美在线| 亚洲熟妇熟女久久| 嫩草影院新地址| 亚洲精品影视一区二区三区av| 久久天躁狠狠躁夜夜2o2o| 精品免费久久久久久久清纯| 亚洲一区二区三区色噜噜| 国产女主播在线喷水免费视频网站 | 性欧美人与动物交配| 国产伦精品一区二区三区视频9| 国产私拍福利视频在线观看| 久久中文看片网| 色综合亚洲欧美另类图片| 中文字幕熟女人妻在线| 欧美一区二区亚洲| 毛片一级片免费看久久久久 | 白带黄色成豆腐渣| 亚洲av成人av| 色视频www国产| 内射极品少妇av片p| 免费看a级黄色片| 18禁在线播放成人免费| 精品人妻一区二区三区麻豆 | 日日啪夜夜撸| 啪啪无遮挡十八禁网站| 精品一区二区三区av网在线观看| 此物有八面人人有两片| 精品免费久久久久久久清纯| 久久久久久久亚洲中文字幕| 一区二区三区高清视频在线| 亚洲av日韩精品久久久久久密| 亚洲人成伊人成综合网2020| 国产午夜精品论理片| 久久人人精品亚洲av| av在线天堂中文字幕| 亚洲成a人片在线一区二区| 中文资源天堂在线| 国产伦精品一区二区三区视频9| 午夜免费激情av| 亚洲在线自拍视频| 日韩一本色道免费dvd| 国产精品自产拍在线观看55亚洲| 日韩欧美在线二视频| 亚洲成人免费电影在线观看| 九九热线精品视视频播放| 欧美色欧美亚洲另类二区| 搞女人的毛片| 色综合亚洲欧美另类图片| 男人和女人高潮做爰伦理| 久久久精品大字幕| 男女啪啪激烈高潮av片| 一区二区三区四区激情视频 | 亚洲欧美激情综合另类| 亚洲va日本ⅴa欧美va伊人久久| 精品久久久久久久久亚洲 | 老熟妇仑乱视频hdxx| 嫩草影院精品99| 可以在线观看的亚洲视频| 午夜久久久久精精品| 美女xxoo啪啪120秒动态图| 黄色视频,在线免费观看| 亚洲国产精品成人综合色| 成人性生交大片免费视频hd| 干丝袜人妻中文字幕| 亚洲在线自拍视频| 亚洲无线观看免费| 12—13女人毛片做爰片一| 久久欧美精品欧美久久欧美| 国产蜜桃级精品一区二区三区| 九色成人免费人妻av| 欧美成人性av电影在线观看| 在现免费观看毛片| 欧洲精品卡2卡3卡4卡5卡区| 国产av麻豆久久久久久久| 在线a可以看的网站| 婷婷色综合大香蕉| 乱人视频在线观看| 国产精品一区www在线观看 | 国内少妇人妻偷人精品xxx网站| 深爱激情五月婷婷| 十八禁国产超污无遮挡网站| 亚洲美女黄片视频| 国产精品嫩草影院av在线观看 | 美女黄网站色视频| 男人狂女人下面高潮的视频| 我的老师免费观看完整版| 深爱激情五月婷婷| 亚洲欧美日韩高清在线视频| 男女下面进入的视频免费午夜| 成年人黄色毛片网站| 赤兔流量卡办理| 少妇人妻一区二区三区视频| 国产真实乱freesex| 久久精品国产亚洲av涩爱 | 国产不卡一卡二| 午夜福利视频1000在线观看| 欧美激情国产日韩精品一区| 日本精品一区二区三区蜜桃| 欧美日韩亚洲国产一区二区在线观看| 在线观看av片永久免费下载| 夜夜爽天天搞| 国产精品人妻久久久久久| 日韩精品有码人妻一区| 国产成人av教育| 免费无遮挡裸体视频| 国产亚洲91精品色在线| 亚洲精品456在线播放app | 午夜激情欧美在线| 国产高清不卡午夜福利| 美女xxoo啪啪120秒动态图| 精品久久久久久久久久久久久| 精品一区二区三区视频在线观看免费| 久久婷婷人人爽人人干人人爱| 国产精品久久久久久久电影| 成人综合一区亚洲| 国产精品乱码一区二三区的特点| 一级黄色大片毛片| 人人妻人人澡欧美一区二区| 国产男人的电影天堂91| 一边摸一边抽搐一进一小说| 特大巨黑吊av在线直播| 日韩在线高清观看一区二区三区 | eeuss影院久久| a级毛片免费高清观看在线播放| 一边摸一边抽搐一进一小说| 高清在线国产一区| 麻豆成人av在线观看| 精华霜和精华液先用哪个| 麻豆久久精品国产亚洲av| 国产高清激情床上av| 亚洲国产色片| 伊人久久精品亚洲午夜| a级毛片免费高清观看在线播放| 内地一区二区视频在线| 国产女主播在线喷水免费视频网站 | 校园人妻丝袜中文字幕| 天堂av国产一区二区熟女人妻| 少妇丰满av| 麻豆成人午夜福利视频| 国产高清不卡午夜福利| 成人午夜高清在线视频| 尾随美女入室| 国产一区二区在线av高清观看| 国产精品久久电影中文字幕| 免费看a级黄色片| 嫁个100分男人电影在线观看| 欧美高清成人免费视频www| 搡女人真爽免费视频火全软件 | 国产亚洲欧美98| 亚洲电影在线观看av| 久久久精品欧美日韩精品| 黄色丝袜av网址大全| 免费看a级黄色片| 禁无遮挡网站| 亚洲无线观看免费| 亚洲欧美日韩无卡精品| 偷拍熟女少妇极品色| 免费不卡的大黄色大毛片视频在线观看 | av在线老鸭窝| 亚洲国产高清在线一区二区三| 色综合站精品国产| 久久草成人影院| 网址你懂的国产日韩在线| 国产精品一及| 亚洲四区av| 18+在线观看网站| 日本色播在线视频| 春色校园在线视频观看| 亚洲中文日韩欧美视频| eeuss影院久久| 中国美女看黄片| 精品午夜福利视频在线观看一区| 亚洲,欧美,日韩| 久久久久久久久大av| 51国产日韩欧美| 伊人久久精品亚洲午夜| 亚洲av美国av| 18禁黄网站禁片午夜丰满| 婷婷亚洲欧美| 国产精品免费一区二区三区在线| 亚洲av免费高清在线观看| 亚洲av中文字字幕乱码综合| 国产 一区精品| 日韩欧美精品免费久久| 午夜免费男女啪啪视频观看 | 日韩精品有码人妻一区| 真人一进一出gif抽搐免费| 成人精品一区二区免费| 一a级毛片在线观看| 色播亚洲综合网| 窝窝影院91人妻| 午夜影院日韩av| 观看美女的网站| 九九爱精品视频在线观看| 亚洲经典国产精华液单| 高清日韩中文字幕在线| 成年人黄色毛片网站| 国产在线男女| 亚洲精品一区av在线观看| 国产精品女同一区二区软件 | 搡女人真爽免费视频火全软件 | 国产精品女同一区二区软件 | 少妇人妻一区二区三区视频| 亚洲国产精品成人综合色| 天堂网av新在线| 神马国产精品三级电影在线观看| 一区二区三区四区激情视频 | 91久久精品国产一区二区三区| 国产精品美女特级片免费视频播放器| 伊人久久精品亚洲午夜| 他把我摸到了高潮在线观看| 一本一本综合久久| 日韩一区二区视频免费看| ponron亚洲| 亚洲最大成人av| 成人亚洲精品av一区二区| 九九在线视频观看精品| 床上黄色一级片| 99热这里只有是精品在线观看| 久久久久国产精品人妻aⅴ院| 黄色女人牲交| 久9热在线精品视频| 中文字幕av在线有码专区| www日本黄色视频网| 中亚洲国语对白在线视频| 免费在线观看日本一区| 国产男靠女视频免费网站| 一个人观看的视频www高清免费观看| 欧美一级a爱片免费观看看| 午夜免费成人在线视频| 免费搜索国产男女视频| 成人美女网站在线观看视频| 一进一出好大好爽视频| 中文字幕人妻熟人妻熟丝袜美| 亚洲美女黄片视频| 午夜免费激情av| 成人二区视频| 日本 欧美在线| 亚洲精品乱码久久久v下载方式| 欧美精品啪啪一区二区三区| 国产精品久久久久久精品电影| 一个人观看的视频www高清免费观看| 成人性生交大片免费视频hd| 尾随美女入室| 亚洲美女视频黄频| 精品欧美国产一区二区三| 国产av一区在线观看免费| 99久久九九国产精品国产免费| 99久久中文字幕三级久久日本| 国产伦人伦偷精品视频| 91麻豆av在线| 999久久久精品免费观看国产| 俄罗斯特黄特色一大片| 国产久久久一区二区三区| 国产精品一区二区性色av| 超碰av人人做人人爽久久| 国产大屁股一区二区在线视频| 久久欧美精品欧美久久欧美| 99热6这里只有精品| 亚洲成人久久性| 午夜免费激情av| 变态另类成人亚洲欧美熟女| 男女下面进入的视频免费午夜| 性插视频无遮挡在线免费观看| 日韩,欧美,国产一区二区三区 | 国内精品久久久久精免费| 香蕉av资源在线| 99久国产av精品| 欧美激情久久久久久爽电影| 国内揄拍国产精品人妻在线| 18禁裸乳无遮挡免费网站照片| 国产色婷婷99| 神马国产精品三级电影在线观看| 午夜老司机福利剧场| 国产黄片美女视频| 色播亚洲综合网| 欧美激情久久久久久爽电影| 天天躁日日操中文字幕| 婷婷精品国产亚洲av| 亚洲欧美日韩卡通动漫| 亚洲av五月六月丁香网| 99国产精品一区二区蜜桃av| 成人国产综合亚洲| 精品久久久久久久末码| 国产熟女欧美一区二区| 男人的好看免费观看在线视频| av福利片在线观看| 男人的好看免费观看在线视频| 国产白丝娇喘喷水9色精品| 亚洲av第一区精品v没综合| 欧美绝顶高潮抽搐喷水| 亚洲国产精品成人综合色| 人妻制服诱惑在线中文字幕| 欧美激情在线99| 黄色一级大片看看| 99久久无色码亚洲精品果冻| 黄色日韩在线| 日本一二三区视频观看| 国产一区二区三区视频了| 禁无遮挡网站| 国产高潮美女av| 能在线免费观看的黄片| 身体一侧抽搐| 午夜激情欧美在线| 村上凉子中文字幕在线| 国产单亲对白刺激| 一区福利在线观看| 国产综合懂色| АⅤ资源中文在线天堂| 日韩欧美在线乱码| 日韩欧美免费精品| 又黄又爽又免费观看的视频| 国产精品久久久久久av不卡| 日韩中文字幕欧美一区二区| 真人一进一出gif抽搐免费| 99久久久亚洲精品蜜臀av| 成人性生交大片免费视频hd| 亚洲精品在线观看二区| 成年女人毛片免费观看观看9| 国产午夜精品久久久久久一区二区三区 | 99国产精品一区二区蜜桃av| h日本视频在线播放| 亚洲黑人精品在线| 小说图片视频综合网站| 国产精华一区二区三区| 午夜福利高清视频| 在线看三级毛片| 无遮挡黄片免费观看| 午夜爱爱视频在线播放| 国产熟女欧美一区二区| 国产精品久久久久久av不卡| 成人永久免费在线观看视频| 亚洲精品粉嫩美女一区| 国产精品一区二区免费欧美| 黄色女人牲交| 色av中文字幕| 精品人妻视频免费看| 久99久视频精品免费| 在线观看免费视频日本深夜| 99久久无色码亚洲精品果冻| 不卡视频在线观看欧美| 欧美性猛交╳xxx乱大交人| 午夜精品一区二区三区免费看| 欧美bdsm另类| 久久精品国产99精品国产亚洲性色| 亚洲一区二区三区色噜噜| 免费看av在线观看网站| 看十八女毛片水多多多| 一个人免费在线观看电影| 精品国内亚洲2022精品成人| 国产私拍福利视频在线观看| 欧美潮喷喷水| 中文字幕熟女人妻在线| 老司机深夜福利视频在线观看| 久久久久久久精品吃奶| 日韩中文字幕欧美一区二区| 久99久视频精品免费| 婷婷精品国产亚洲av在线| 国产单亲对白刺激| 久久婷婷人人爽人人干人人爱| 老女人水多毛片| 久久人人爽人人爽人人片va| 国产亚洲精品av在线| 日本爱情动作片www.在线观看 | 日韩中字成人| 中文在线观看免费www的网站| 亚洲自偷自拍三级| 在线国产一区二区在线| 亚洲欧美日韩卡通动漫| 亚洲国产高清在线一区二区三| 国产淫片久久久久久久久| 国产三级中文精品| 精品日产1卡2卡| 国产高清激情床上av| av黄色大香蕉| 长腿黑丝高跟| 亚洲无线观看免费| 亚洲五月天丁香| 国产午夜福利久久久久久| 国产人妻一区二区三区在| 亚洲真实伦在线观看| 成熟少妇高潮喷水视频| 久久久久久久久久黄片| 美女被艹到高潮喷水动态| av在线天堂中文字幕| 99久久九九国产精品国产免费| 成人无遮挡网站| 亚洲一区二区三区色噜噜| 在线免费观看不下载黄p国产 | av黄色大香蕉| 国产一区二区激情短视频| 久久久久免费精品人妻一区二区| 色播亚洲综合网| 亚洲国产高清在线一区二区三| 一进一出抽搐动态| 亚洲精品成人久久久久久| 一本精品99久久精品77| 精品久久久久久久久av| 看黄色毛片网站| 国国产精品蜜臀av免费| 亚洲在线观看片| 美女黄网站色视频| 内地一区二区视频在线| 2021天堂中文幕一二区在线观| 久99久视频精品免费| 动漫黄色视频在线观看| 中国美女看黄片| 欧美精品啪啪一区二区三区| 亚洲性夜色夜夜综合| 国产探花在线观看一区二区| 88av欧美| 观看免费一级毛片| 久久亚洲精品不卡| 中文字幕免费在线视频6| 18禁黄网站禁片免费观看直播| 欧美丝袜亚洲另类 | 国产亚洲av嫩草精品影院| 欧美区成人在线视频| 免费人成视频x8x8入口观看| 亚洲,欧美,日韩| 免费大片18禁| 久久久久免费精品人妻一区二区| 综合色av麻豆| 国产欧美日韩精品一区二区| 亚洲18禁久久av| 欧美一级a爱片免费观看看| 88av欧美| 男女那种视频在线观看| 日韩欧美三级三区| 99热这里只有是精品50| 哪里可以看免费的av片| 日韩国内少妇激情av| 97热精品久久久久久| 国产乱人视频| 免费黄网站久久成人精品| 国产男靠女视频免费网站| 直男gayav资源| 精品久久国产蜜桃| 欧美激情久久久久久爽电影| 真人一进一出gif抽搐免费| 色在线成人网| 观看免费一级毛片| 美女xxoo啪啪120秒动态图| av天堂中文字幕网| 能在线免费观看的黄片| 男女下面进入的视频免费午夜| 国产成人a区在线观看| 99九九线精品视频在线观看视频| 波野结衣二区三区在线| 狂野欧美白嫩少妇大欣赏| 成人国产麻豆网| 成人欧美大片| 最近中文字幕高清免费大全6 | 69人妻影院| 动漫黄色视频在线观看| 女人被狂操c到高潮| 国产私拍福利视频在线观看| 尾随美女入室| 日韩高清综合在线| 欧美日本亚洲视频在线播放| 午夜久久久久精精品| 乱人视频在线观看| 亚洲成人免费电影在线观看| 美女高潮的动态| 91麻豆精品激情在线观看国产| 少妇的逼水好多| 亚洲五月天丁香| 日韩精品青青久久久久久| 别揉我奶头 嗯啊视频| 有码 亚洲区| 成年版毛片免费区| 狂野欧美白嫩少妇大欣赏| 国产精品av视频在线免费观看| 成人一区二区视频在线观看| 91在线精品国自产拍蜜月| 亚洲一区二区三区色噜噜| 老司机午夜福利在线观看视频| 天堂动漫精品| 亚洲国产精品合色在线| 国产真实乱freesex| avwww免费| 精品久久久久久久人妻蜜臀av| 性插视频无遮挡在线免费观看| 成人国产一区最新在线观看| 欧洲精品卡2卡3卡4卡5卡区| 色综合站精品国产| 欧美日韩综合久久久久久 | 国内精品美女久久久久久| 又爽又黄无遮挡网站| 亚洲熟妇中文字幕五十中出| 欧美精品啪啪一区二区三区| 国产精品一区www在线观看 | 精品国内亚洲2022精品成人| 少妇猛男粗大的猛烈进出视频 | 国产欧美日韩一区二区精品| 黄片wwwwww| a级一级毛片免费在线观看| 欧美zozozo另类| 91午夜精品亚洲一区二区三区 | 精品久久国产蜜桃| 波野结衣二区三区在线| 97超级碰碰碰精品色视频在线观看| 亚洲av.av天堂| 国产伦一二天堂av在线观看| 亚洲va在线va天堂va国产| 少妇人妻一区二区三区视频| 成人一区二区视频在线观看| 最近最新免费中文字幕在线| 人人妻人人澡欧美一区二区| 欧美一级a爱片免费观看看| 亚洲aⅴ乱码一区二区在线播放| 成人国产一区最新在线观看| 老师上课跳d突然被开到最大视频| 久久久精品欧美日韩精品| av.在线天堂| 如何舔出高潮| 琪琪午夜伦伦电影理论片6080| 女同久久另类99精品国产91| 国产单亲对白刺激| 女生性感内裤真人,穿戴方法视频| 亚洲专区国产一区二区| 国产麻豆成人av免费视频| 亚洲美女黄片视频| 国产av一区在线观看免费| 一区福利在线观看| 欧美性猛交╳xxx乱大交人| 一个人看视频在线观看www免费| 91在线精品国自产拍蜜月| 亚洲av二区三区四区| 日韩亚洲欧美综合|