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Automatic sleep staging based on ECG signals using hidden Markov models. 基于隐马尔可夫模型的心电信号自动睡眠分期。
Ying Chen, Xin Zhu, Wenxi Chen
This study is designed to investigate the feasibility of automatic sleep staging using features only derived from electrocardiography (ECG) signal. The study was carried out using the framework of hidden Markov models (HMMs). The mean, and SD values of heart rates (HRs) computed from each 30-second epoch served as the features. The two feature sequences were first detrended by ensemble empirical mode decomposition (EEMD), formed as a two-dimensional feature vector, and then converted into code vectors by vector quantization (VQ) method. The output VQ indexes were utilized to estimate parameters for HMMs. The proposed model was tested and evaluated on a group of healthy individuals using leave-one-out cross-validation. The automatic sleep staging results were compared with PSG estimated ones. Results showed accuracies of 82.2%, 76.0%, 76.1% and 85.5% for deep, light, REM and wake sleep, respectively. The findings proved that HRs-based HMM approach is feasible for automatic sleep staging and can pave a way for developing more efficient, robust, and simple sleep staging system suitable for home application.
本研究旨在探讨仅利用心电图(ECG)信号的特征进行自动睡眠分期的可行性。本研究采用隐马尔可夫模型(hmm)框架进行。每30秒计算的心率(hr)的平均值和SD值作为特征。首先利用集成经验模态分解(EEMD)对两个特征序列进行去趋势化处理,形成二维特征向量,然后利用矢量量化(VQ)方法将两个特征序列转换为编码向量。利用输出的VQ指标来估计hmm的参数。提出的模型在一组健康个体上使用留一交叉验证进行了测试和评估。将自动睡眠分期结果与PSG估计结果进行比较。结果显示,深度睡眠、浅睡眠、快速眼动睡眠和清醒睡眠的准确率分别为82.2%、76.0%、76.1%和85.5%。研究结果证明了基于hr的HMM方法在自动睡眠分期中是可行的,为开发更高效、健壮、简单的适合家庭应用的睡眠分期系统铺平了道路。
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引用次数: 3
Immersive BCI with SSVEP in VR head-mounted display. 沉浸式脑机接口与SSVEP在VR头戴式显示器。
Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, Seungjin Choi
In this paper we present an immersive brain computer interface (BCI) where we use a virtual reality head-mounted display (VRHMD) to invoke SSVEP responses. Compared to visual stimuli in monitor display, we demonstrate that visual stimuli in VRHMD indeed improve the user engagement for BCI. To this end, we validate our method with experiments on a VR maze game, the goal of which is to guide a ball into the destination in a 2D grid map in a 3D space, successively choosing one of four neighboring cells using SSVEP evoked by visual stimuli on neighboring cells. Experiments indicate that the averaged information transfer rate is improved by 10% for VRHMD, compared to the case in monitor display and the users feel easier to play the game with the proposed system.
在本文中,我们提出了一个沉浸式脑机接口(BCI),其中我们使用虚拟现实头戴式显示器(VRHMD)来调用SSVEP响应。与显示器显示的视觉刺激相比,我们证明VRHMD中的视觉刺激确实提高了脑机接口的用户参与度。为此,我们通过VR迷宫游戏的实验验证了我们的方法,该游戏的目标是在3D空间中引导一个球进入2D网格地图中的目的地,并使用视觉刺激在相邻细胞上引发的SSVEP从四个相邻细胞中依次选择一个。实验表明,与显示器显示相比,VRHMD的平均信息传输速率提高了10%,用户在游戏中感觉更轻松。
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引用次数: 5
Markerless registration for image-guided endoscopic retrograde cholangiopancreatography (ERCP). 图像引导下内镜逆行胆管造影(ERCP)的无标记配准。
Young-Gi Jung, Myeongjin Kim, Doo Yong Lee
This paper proposes methods for markerless registration, which enable tracking pose of the endoscope camera in real time for implementation of the image-guided ERCP. Edge-based initialization is developed to determine the initial pose of the endoscope camera. Images of virtual endoscope are rendered from the virtual 3D organ model constructed from the patient's CT images. The similarity between edges on the image of the virtual and real endoscope is exploited for registration. An optical-flow-based tracking method is developed to track the changes starting from the initial pose of the endoscope camera in real time. The redefinition method is proposed to prevent the accumulation of the tracking error. Accuracy of the proposed methods is compared with the previous methods. The initialization method reduces 5.2 mm, 33.1 degrees, and 10.9 degrees of the position, direction, and roll angle error, on average, respectively. The tracking method reduces 3.5 degrees and 1.7 degrees of the hysteresis error in the direction angle and roll angle, respectively, with 15% faster update rate.
本文提出了一种无标记配准方法,使内窥镜摄像机的姿态能够实时跟踪,实现图像引导下的ERCP。提出了基于边缘的初始化方法来确定内窥镜摄像机的初始姿态。虚拟内窥镜图像是由患者CT图像构建的虚拟三维器官模型绘制而成。利用虚拟内窥镜和真实内窥镜图像边缘之间的相似性进行配准。提出了一种基于光流的跟踪方法,实时跟踪内窥镜摄像机从初始位姿开始的变化。为了防止跟踪误差的累积,提出了重定义方法。将所提方法的精度与已有方法进行了比较。初始化方法平均使位置误差减小5.2 mm,方向误差减小33.1°,侧倾角误差减小10.9°。该跟踪方法在方向角和横摇角上的滞后误差分别减小3.5度和1.7度,更新速度提高15%。
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引用次数: 0
Effects of contralateral acoustic stimulation on otoacoustic emissions induced by swept tones. 对侧声刺激对扫频声诱发耳声发射的影响。
Shixiong Chen, Yanbing Jin, Lisheng Xu, Guanglin Li
The medial olivocochlear complex (MOC) is an auditory nucleus that projects efferent nerve fibers to control the behaviors of both sides of the cochlea. Otoacoutsic emissions (OAEs) are by-products the activities of the outer hair cells (OHCs) in the cochlea and could be used as a noninvasive way to study the efferent control of the MOC. However, existing results regarding the efferent control are quite controversial and often restricted to a rather limited frequency range. In this study, a new method of measuring stimulus frequency otoacoustic emissions (SFOAEs) with the presence of a contralateral acoustic stimulation (CAS) was proposed to study the efferent control over the cochlea. SFOAEs were measured with swept tones with time varying frequencies so that SFOAE spectra with and without the presence of the CAS could be compared with high frequency-resolution. The results showed that there was consistent decrease in the amplitude of the swept-tone SFOAEs across a wide frequency range from 0.5 to 8 kHz when the CAS was presented, suggesting an outstanding attenuation of OHC activities by the efferent control from the MOC. The SFOAE decrease with the presence of the CAS might provide a new approach to measure the strength of the efferent control and to evaluate the functional status of the central auditory pathway.
内侧耳蜗复合体(medial olivocochlear complex, MOC)是一个听觉核,它投射出神经纤维来控制耳蜗两侧的行为。耳声发射(oae)是耳蜗外毛细胞(ohc)活动的副产物,可以作为一种无创的方法来研究MOC的传出控制。然而,现有的结果关于传出控制是相当有争议的,往往局限于一个相当有限的频率范围。本研究提出了一种在对侧声刺激(CAS)下测量刺激频率耳声发射(SFOAEs)的新方法,以研究耳蜗的传出控制。用时变频率的扫频测量SFOAE,以便在有和没有CAS存在的情况下进行高频率分辨率的SFOAE光谱比较。结果表明,在0.5 ~ 8 kHz的宽频率范围内,当CAS存在时,扫频sfoae的振幅持续下降,表明MOC的传出控制对OHC活性有明显的衰减。骶椎体声强度随CAS的存在而降低,可能为测量传出控制强度和评价中枢听觉通路功能状态提供了一种新的方法。
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引用次数: 0
A microfabricated coil for implantable applications of magnetic spinal cord stimulation. 一种用于脊髓磁刺激植入式应用的微制造线圈。
Yu-Min Fu, Che-Yu Chen, Xin-Hong Qian, Yu-Ting Cheng, Chung-Yu Wu, Jui-Sheng Sun, Chien-Chun Huang, Chao-Kai Hu
In this paper, a microfabricated inductive coil comprising of 125-turn coil windings and a MnZn-based magnetic core in a volume of 200 mm(3) is presented for the magnetic neural stimulation in a spinal cord. The coil winding with the parallel-linkage design instead of the typical serial-linkage one is proposed not only to provide better design flexibility to the current mode driving circuit but also to simplify the fabrication process of the 3-D inductive coil, which can further advance the coil miniaturization. Experimental results show the microcoil with a 1.5 A, 1 kHz square-wave current input can induce a voltages of ~220 μV on the conducting wire with an impedance of ~0.2 Ω @ 1 kHz, 1 mm separation.
在本文中,提出了一种由125匝线圈绕组和一个体积为200 mm(3)的mnzn基磁芯组成的微制造电感线圈,用于脊髓的磁神经刺激。提出用并联机构设计代替典型的串联机构设计的线圈绕组,不仅为电流驱动电路提供了更好的设计灵活性,而且简化了三维电感线圈的制作工艺,进一步推进了线圈的小型化。实验结果表明,当输入1.5 a、1 kHz方波电流时,微线圈可对阻抗为~0.2 Ω @ 1 kHz、间隔为1 mm的导线产生~220 μV的电压。
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引用次数: 0
Frame-based compressive sensing MR image reconstruction with balanced regularization. 基于帧的平衡正则化压缩感知MR图像重建。
Shoulie Xie, Cuntai Guan, Weimin Huang, Zhongkang Lu
This paper addresses the frame-based MR image reconstruction from undersampled k-space measurements by using a balanced ℓ(1)-regularized approach. Analysis-based and synthesis-based approaches are two common methods in ℓ(1)-regularized image restoration. They are equivalent under the orthogonal transform, but there exists a gap between them under redundant transform such as frame. Thus the third approach was developed to reduce the gap by penalizing the distance between the representation vector and the canonical frame coefficient of the estimated image, this balanced approach bridges the synthesis-based and analysis-based approaches and balances the fidelity, sparsity and smoothness of the solution. These frame-based approaches have been studied and compared for optical image restoration over the last few years. In this paper, we further study and compare these three approaches for the compressed sensing MR image reconstruction under redundant frame domain. These ℓ(1)-regularized optimization problems are solved by using a variable splitting strategy and the classical alternating direction method of multiplier (ADMM). Numerical simulation results show that the balanced approach can reduce the gap between the analysis-based and synthesis-based approaches and are even better than these two approaches under our experimental conditions.
本文利用平衡的正则化方法从欠采样的k空间测量中处理基于帧的MR图像重建。基于分析和基于综合的方法是正则化图像恢复中常用的两种方法。它们在正交变换下是等价的,但在帧等冗余变换下却存在差距。因此,第三种方法被开发出来,通过惩罚估计图像的表示向量和规范帧系数之间的距离来减少差距,这种平衡的方法连接了基于合成和基于分析的方法,并平衡了解决方案的保真度,稀疏性和平滑性。在过去的几年里,人们对这些基于帧的方法进行了研究和比较。在本文中,我们进一步研究和比较了这三种方法在冗余帧域下的压缩感知MR图像重建。利用变量分裂策略和经典的乘法器交替方向法(ADMM)解决了这些正则化优化问题。数值模拟结果表明,在我们的实验条件下,平衡方法可以缩小基于分析和基于综合的方法之间的差距,甚至优于基于分析和基于综合的方法。
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引用次数: 0
Determination of border irregularity in dermoscopic color images of pigmented skin lesions. 皮肤镜下色素性皮肤病变彩色图像边界不规则性的测定。
J. Jaworek-Korjakowska, R. Tadeusiewicz
Malignant melanoma, which is the most dangerous type of skin cancer, is commonly diagnosed in all people, regardless of age, gender, or race. In the last several years an increasing melanoma incidence and mortality rate has been observed worldwide. In this research we present a new approach to the detection and classification of border irregularity, one of the major parameter in a widely used diagnostic algorithm ABCD rule of dermoscopy. Accurate assessment of irregular borders is clinically important due to a significantly different occurrence in benign and malignant skin lesions. In this paper we describe a complex algorithm containing following steps: image enhancement, lesion segmentation, border irregularity detection as well as classification. The algorithm has been tested on 300 dermoscopic images and achieved a detection of 79% and classification accuracy of 90%. Compared to state-of-the-art, we obtain improved classification accuracy.
恶性黑色素瘤是最危险的皮肤癌类型,无论年龄、性别或种族,所有人都可以诊断出恶性黑色素瘤。在过去几年中,全世界的黑色素瘤发病率和死亡率都在上升。在本研究中,我们提出了一种新的方法来检测和分类边界不规则,边界不规则是广泛使用的皮肤镜诊断算法ABCD规则的主要参数之一。由于良性和恶性皮肤病变的发生率明显不同,准确评估不规则边界在临床上很重要。本文描述了一种复杂的图像增强算法,包括图像增强、病灶分割、边缘不规则检测和分类。该算法在300张皮肤镜图像上进行了测试,检测率达到79%,分类准确率达到90%。与最先进的技术相比,我们获得了更高的分类精度。
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引用次数: 0
Preliminary exploration of the measurement of walking speed for the apoplectic people based on UHF RFID. 基于超高频RFID的中风患者步行速度测量的初步探索。
Huang Hua-Lin, Mo Ling-Fei, Liu Ying-Jie, Li Cheng-Yang, Xu Qi-Meng, Wu Zhi-Tong
The number of the apoplectic people is increasing while population aging is quickening its own pace. The precise measurement of walking speed is very important to the rehabilitation guidance of the apoplectic people. The precision of traditional measuring methods on speed such as stopwatch is relatively low, and high precision measurement instruments because of the high cost cannot be used widely. What's more, these methods have difficulty in measuring the walking speed of the apoplectic people accurately. UHF RFID tag has the advantages of small volume, low price, long reading distance etc, and as a wearable sensor, it is suitable to measure walking speed accurately for the apoplectic people. In order to measure the human walking speed, this paper uses four reader antennas with a certain distance to reads the signal strength of RFID tag. Because RFID tag has different RSSI (Received Signal Strength Indicator) in different distances away from the reader, researches on the changes of RSSI with time have been done by this paper to calculate walking speed. The verification results show that the precise measurement of walking speed can be realized by signal processing method with Gaussian Fitting-Kalman Filter. Depending on the variance of walking speed, doctors can predict the rehabilitation training result of the apoplectic people and give the appropriate rehabilitation guidance.
在人口老龄化加快的同时,中风患者的数量也在不断增加。步行速度的精确测量对中风患者的康复指导具有重要意义。传统的速度测量方法如秒表等精度较低,高精度的测量仪器由于成本高而不能广泛应用。此外,这些方法难以准确测量中风患者的步行速度。超高频RFID标签具有体积小、价格低、读取距离远等优点,作为一种可穿戴传感器,适用于中风患者准确测量步行速度。为了测量人的行走速度,本文使用四个具有一定距离的读取天线来读取RFID标签的信号强度。由于RFID标签在距离阅读器不同的距离上具有不同的RSSI (Received Signal Strength Indicator,接收信号强度指标),因此本文研究了RSSI随时间的变化来计算行走速度。验证结果表明,采用高斯拟合-卡尔曼滤波的信号处理方法可以实现步行速度的精确测量。根据步行速度的变化,医生可以预测中风患者的康复训练结果,并给予相应的康复指导。
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引用次数: 0
Orientation and depth estimation for femoral components using image sensor, magnetometer and inertial sensors in THR surgeries. 利用图像传感器、磁强计和惯性传感器估计THR手术中股骨部件的方位和深度。
Jiyang Gao, Shaojie Su, Hong Chen, Zhihua Wang
Malposition of the acetabular and femoral component has long been recognized as an important cause of dislocation after total hip replacement (THR) surgeries. In order to help surgeons improve the positioning accuracy of the components, a visual-aided system for THR surgeries that could estimate orientation and depth of femoral component is proposed. The sensors are fixed inside the femoral prosthesis trial and checkerboard patterns are printed on the internal surface of the acetabular prosthesis trial. An extended Kalman filter is designed to fuse the data from inertial sensors and the magnetometer orientation estimation. A novel image processing algorithm for depth estimation is developed. The algorithms have been evaluated under the simulation with rotation quaternion and translation vector and the experimental results shows that the root mean square error (RMSE) of the orientation estimation is less then 0.05 degree and the RMSE for depth estimation is 1mm. Finally, the femoral head is displayed in 3D graphics in real time to help surgeons with the component positioning.
髋臼和股骨假体的错位一直被认为是全髋关节置换术后脱位的重要原因。为了帮助外科医生提高假体的定位精度,提出了一种用于THR手术的视觉辅助系统,可以估计股骨假体的方向和深度。传感器被固定在股骨假体试验体内,棋盘格图案被印在髋臼假体试验的内表面。设计了一种扩展卡尔曼滤波器,用于融合惯性传感器数据和磁强计方向估计数据。提出了一种新的深度估计图像处理算法。在旋转四元数和平移向量仿真下对算法进行了评价,实验结果表明,方向估计的均方根误差(RMSE)小于0.05度,深度估计的均方根误差(RMSE)为1mm。最后,股骨头以3D图形实时显示,以帮助外科医生定位部件。
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引用次数: 0
Sleep spindle detection using deep learning: A validation study based on crowdsourcing. 使用深度学习的睡眠纺锤波检测:基于众包的验证研究。
Dakun Tan, Rui Zhao, Jinbo Sun, Wei Qin
Sleep spindles are significant transient oscillations observed on the electroencephalogram (EEG) in stage 2 of non-rapid eye movement sleep. Deep belief network (DBN) gaining great successes in images and speech is still a novel method to develop sleep spindle detection system. In this paper, crowdsourcing replacing gold standard was applied to generate three different labeled samples and constructed three classes of datasets with a combination of these samples. An F1-score measure was estimated to compare the performance of DBN to other three classifiers on classifying these samples, with the DBN obtaining an result of 92.78%. Then a comparison of two feature extraction methods based on power spectrum density was made on same dataset using DBN. In addition, the DBN trained in dataset was applied to detect sleep spindle from raw EEG recordings and performed a comparable capacity to expert group consensus.
睡眠纺锤波是在非快速眼动睡眠第二阶段的脑电图上观察到的一种显著的瞬态振荡。深度信念网络(Deep belief network, DBN)在图像和语音检测方面取得了巨大的成功,是开发睡眠纺锤波检测系统的一种新方法。本文采用众包代替金标准的方法生成三种不同的标记样本,并将这些样本组合起来构建三类数据集。估计一个f1分值来比较DBN与其他三种分类器对这些样本的分类性能,DBN获得了92.78%的结果。然后利用DBN对同一数据集上基于功率谱密度的两种特征提取方法进行了比较。此外,在数据集中训练的DBN被应用于从原始脑电图记录中检测睡眠纺锤波,并执行与专家组共识相当的能力。
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引用次数: 2
期刊
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
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