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Spatially distributed surface electromyography signal simulator. 空间分布表面肌电信号模拟器。
Igor Luiz Moura, R. von Borries, C. Miosso, F. Soares
Electromyographic signals are of great importance to current biomedical research society since they may be used in several ways as, for example, in the diagnosis of neuromuscular diseases, the control of active prosthetic limbs as well as the test and validation of medical equipment.
肌电图信号在当前的生物医学研究界非常重要,因为它们可以用于多种方式,例如神经肌肉疾病的诊断,活动假肢的控制以及医疗设备的测试和验证。
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引用次数: 0
Retrospective data-driven respiratory gating for PET using TOF information. 基于TOF信息的PET呼吸门控回顾性数据驱动。
Mengdie Wang, Ning Guo, Hui Zhang, Georges Elfhakri, Guangshu Hu, Quanzheng Li
Traditional data-driven respiratory gating method is capable of detecting breathing cycles directly from positron emission tomography (PET) data, but usually fails at low SNR, particularly at low dose PET/CT study. Time-of-flight (TOF) PET has the potential to improve the SNR. In order for TOF information to reduce the statistical noise and boost the performance of respiratory gating, we present a robust data-driven respiratory gating method using TOF information, which retrospectively derived the respiratory signal from the acquired TOF-PET data. The PET data was acquired in list mode format and analyzed in sinogram space. The method was demonstrated with patient datasets acquired on a TOF PET/CT system. Data-driven gating methods by center of mass (COM) and principle component analysis (PCA) algorithm were successfully performed on nonTOF PET and TOF PET dataset. To assess the accuracy of the data-driven respiratory signal, a hardware-based signal was acquired for comparison. The study showed that retrospectively respiratory gating using TOF sinograms has improved the SNR, and outperforms the non-TOF gating under both COM and PCA algorithms.
传统的数据驱动呼吸门控方法能够直接从正电子发射断层扫描(PET)数据中检测呼吸周期,但在低信噪比下,特别是在低剂量PET/CT研究中,通常无法实现。飞行时间(TOF) PET具有提高信噪比的潜力。为了利用TOF信息降低统计噪声,提高呼吸门控的性能,提出了一种基于TOF信息的鲁棒数据驱动呼吸门控方法,该方法从采集的TOF- pet数据中回溯导出呼吸信号。PET数据以列表模式获取,并在正弦图空间中进行分析。该方法通过TOF PET/CT系统获得的患者数据集进行了验证。采用质心(COM)和主成分分析(PCA)算法分别对非TOF PET和TOF PET数据集进行了数据驱动门控。为了评估数据驱动的呼吸信号的准确性,采集了一个基于硬件的信号进行比较。研究表明,使用TOF图的回溯呼吸门控提高了信噪比,并且在COM和PCA算法下都优于非TOF门控。
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引用次数: 7
A multimodal stress monitoring system with canonical correlation analysis. 具有典型相关分析的多模态应力监测系统。
Unsoo Ha, Changhyeon Kim, Yongsu Lee, Hyunki Kim, Taehwan Roh, Hoi-Jun Yoo
The multimodal stress monitoring headband is proposed for mobile stress management system. It is composed of headband and earplugs. Electroencephalography (EEG), hemoencephalography (HEG) and heart-rate variability (HRV) can be achieved simultaneously in the proposed system for user status estimation. With canonical correlation analysis (CCA) and temporal-kernel CCA (tkCCA) algorithm, those different signals can be combined for maximum correlation. Thanks to the proposed combination algorithm, the accuracy of the proposed system increased up to 19 percentage points than unimodal monitoring system in n-back task.
提出了用于移动应力管理系统的多模态应力监测头带。它由头带和耳塞组成。在该系统中,可以同时实现脑电图(EEG)、血脑图(HEG)和心率变异性(HRV),用于用户状态估计。通过典型相关分析(CCA)和时间核相关分析(tkCCA)算法,可以将这些不同的信号组合在一起以获得最大的相关性。在n-back任务中,该系统的准确率比单峰监测系统提高了19个百分点。
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引用次数: 2
A comparison of open-loop and closed-loop adaptive calibration for pattern recognition based myoelectric control. 基于模式识别的肌电控制开环与闭环自适应标定的比较。
Jiayuan He, Dingguo Zhang, Xinjun Sheng, Xiangyang Zhu
This study presented a closed-loop adaptive calibration (CLAC) scheme where subjects could get instantaneous feedback of their movements and alter their motions immediately to update the model parameters to enhance its ability. The real-time performance was compared between the conventional open-loop calibration (OLC) and the presented CLAC based on three metrics (motion-selection time, motion-completion time and motion-completion rate). The CLAC performed slightly better than the OLC, but the difference was not significant. This was the first study designed to investigate the effects of CLAC for pattern recognition-based myoelectric control (discrete movement). The CLAC could be potentially applied in the multiuser interface to make the adaptation of the common model to a novel user efficiently and flexibly.
本研究提出了一种闭环自适应标定方案(CLAC),该方案可以使被试获得其运动的瞬时反馈,并立即改变其运动以更新模型参数以增强其能力。基于三个指标(运动选择时间、运动完成时间和运动完成率),比较了传统开环标定(OLC)和CLAC的实时性。CLAC的表现略好于OLC,但差异不显著。这是第一个旨在研究CLAC对基于模式识别的肌电控制(离散运动)影响的研究。CLAC可以应用于多用户界面,使通用模型适应新用户的需求更加高效、灵活。
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引用次数: 1
Fast and stable guidewire simulator for minimally invasive vascular surgery. 用于微创血管手术的快速稳定的导丝模拟器。
Zhan-Jie Gao, Xiao-Liang Xie, Gui-Bin Bian, Jian-Long Hao, Zhen-Qiu Feng, Zeng-Guang Hou
In recent years, minimally invasive vascular surgery is widely applied in treatment of cardiovascular diseases, and the manipulation of the guidewire is the essential skill for this surgery. Lots of time and money have to be taken to achieve the skill. In this paper, we present a multithreading guidewire simulator which can help the apprentice to gain the skill and modeling the guidewire is the core technique of the simulator. The guidewire is modeled by a fast and stable method based on the Cosserat theory of elastic rods. The method describes the behavior of the guidewire with the Lagrange equations of motion and it uses the penalty method to maintain constraints. We further propose a simplified solving procedure for the guidewire model. Finally, some experiments are conducted to evaluate the effectiveness of this model.
近年来,微创血管手术在心血管疾病的治疗中得到了广泛的应用,而导丝的操作是该手术的必备技能。获得这项技能需要花费大量的时间和金钱。本文设计了一种多线程导丝模拟器,可以帮助徒弟获得技能,导丝的建模是该模拟器的核心技术。基于弹性杆的Cosserat理论,采用快速稳定的方法对导丝进行建模。该方法用拉格朗日运动方程来描述导丝的运动特性,并采用惩罚法来保持约束。进一步提出了导丝模型的简化求解方法。最后,通过实验验证了该模型的有效性。
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引用次数: 0
A 0.5-V multi-channel low-noise readout front-end for portable EEG acquisition. 一种用于便携式脑电图采集的0.5 v多通道低噪声读出前端。
Wen-Yen Huang, Yu-Wei Cheng, Kea-Tiong Tang
This article presents a low-noise readout front-end suitable for Electroencephalogram (EEG) acquisition. The chip includes 8-channel fully-differential instrumentation amplifiers, utilizing chopper stabilization technique for reducing the flicker noise, each amplifier with a small Gm-C low-pass filter, a programmable gain amplifier, and a 10-bit successive approximation register (SAR) ADC with a detect logic for DAC switching. The chip is fabricated with the TSMC 90nm CMOS process. The low-noise readout front-end has simulated frequency response from 0.57 Hz to 213 Hz, programmable gain from 54.4 dB to 87.6 dB, integrated input-referred noise of 0.358 μVrms within EEG bandwidth, a noise efficiency factor (NEF) of 2.43, and a power efficiency factor (PEF) of 2.95. The overall system consumes 32.08 μW under 0.5-V supply.
本文提出了一种适用于脑电图采集的低噪声读出前端。该芯片包括8通道全差分仪表放大器,利用斩波稳定技术来降低闪烁噪声,每个放大器都带有一个小型Gm-C低通滤波器,一个可编程增益放大器,以及一个带有DAC切换检测逻辑的10位连续逼近寄存器(SAR) ADC。该芯片采用台积电90nm CMOS工艺制造。低噪声读出前端的模拟频响范围为0.57 Hz ~ 213 Hz,可编程增益范围为54.4 dB ~ 87.6 dB,脑电带宽内的综合输入参考噪声为0.358 μVrms,噪声效率因子(NEF)为2.43,功率效率因子(PEF)为2.95。在0.5 v电源下,整个系统功耗为32.08 μW。
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引用次数: 0
Pervasive health monitor and analysis based on multi-parameter smart armband. 基于多参数智能手环的无孔不入健康监测与分析。
Yang Yu, Qian Wang, Jing Liu
With the growing attention on personal health, keeping track of the health related parameters has become an important issue, which is quite useful to increase people's living quality and reduce unpredicted risks. However, conventional physical checks are discrete and transient, which is incapable for the health monitor of daily living. Dedicated to everyday physiological monitor, we have developed a multi-parameter smart armband which is able record pulse, temperature and triaxial accelerations continuously. With the wearable device and signal processing algorithm, experiments of data acquisition in the daily living have been implemented on the volunteers. The long period record of 38 hours has demonstrated its feasibility of a total record without disturbing. And both historical and cross comparisons on the parameter correlation analysis have proven the valuable health information that the armband could reveal. As an integrated sensor module, the smart armband is simple and non-obtrusive, thus opens a promising approach towards the pervasive health monitor, especially for the elder population.
随着人们对个人健康的日益关注,跟踪健康相关参数已成为一个重要的问题,它对提高人们的生活质量和减少不可预测的风险是非常有用的。然而,传统的身体检查是离散的、短暂的,无法实现日常生活的健康监测。致力于日常生理监测,我们开发了一种多参数智能臂带,可以连续记录脉搏、温度和三轴加速度。利用可穿戴设备和信号处理算法,在志愿者身上进行了日常生活中的数据采集实验。38小时的长周期记录证明了不干扰总记录的可行性。通过参数相关分析的历史对比和交叉对比,证明了臂章所能揭示的有价值的健康信息。作为一个集成的传感器模块,智能臂带简单而不显眼,因此为普及健康监测开辟了一条有前途的途径,特别是对于老年人。
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引用次数: 0
Influence of the occlusion effect over the prediction-error feedback cancellation system in hearing aids. 遮挡效应对助听器预测误差反馈对消系统的影响。
Renata Coelho Borges, M. Holsbach Costa
This work presents a theoretical analysis of the prediction-error method-based adaptive feedback canceller in hearing aid applications. The studied scene takes into account the occlusion effect caused by the partial or complete closing of the ventilation opening. Such a situation may occur in high gain applications to avoid undesired whistling. Deterministic recursive equations and steady-state conditions were derived for the mean weight behaviour of the predictor and the adaptive filter. The expected theoretical predictions were compared to Monte Carlo simulations, showing very accurate agreement. The simulation results suggest the steady-state performance of this feedback canceller is not affected by the occlusion effect, however the occlusion is still perceived, being annoying to the user.
本文对基于预测误差法的自适应反馈消除器在助听器中的应用进行了理论分析。所研究的场景考虑了通风口部分或完全关闭所造成的遮挡效应。这种情况可能发生在高增益应用中,以避免不希望的啸声。推导了预测器和自适应滤波器的平均权重行为的确定性递归方程和稳态条件。预期的理论预测与蒙特卡罗模拟进行了比较,显示出非常准确的一致性。仿真结果表明,该反馈消除器的稳态性能不受遮挡效应的影响,但仍能感知到遮挡,给用户带来困扰。
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引用次数: 0
Ultrasound observation of GAG content of human hip joint cartilage in different old age groups. 不同年龄组人髋关节软骨GAG含量的超声观察。
Pengling Ren, Xiaofei Li, Fan Fan, Xiran Cai, He Gong, Yubo Fan, Haijun Niu
In this study, we observed the age-related changes of glycosaminoglycan (GAG) content of human hip joint cartilage based on ultrasound (US). Seventy human hip cartilage-bone samples were collected from hip-fracture patients (ages 51 to 96) and divided into 5 groups (10 years in an age group). They were firstly measured by ultrasound to obtain quantitative acoustic parameters, including the speed of sound (SOS), US amplitude attenuation coefficient (UAA) and normalized broadband US attenuation coefficient (nBUA). Then the samples were stained for GAG with toluidine blue. Results showed SOS, UAA, nBUA decreased by 5.49%, 36.67%, 25.57% from 50-80 age group (p<;0.01), but increased by 0.34%, 1.19%, 5.23% in the 90 age group compared with the 80 age group, respectively. There were linear correlations between SOS and GAG optical density (r=0.825, p<;0.01), as well as UAA and GAG optical density (r=0.708, p <; 0.01). However, nBUA showed less significant linear correlation to GAG optical density (r=0.688, p <; 0.07). In summary, GAG content of hip joint cartilage varied with aging in elderly people and conventional ultrasound can potentially be used to detect the age-related changes of acoustic parameters of human hip joint cartilage.
在本研究中,我们基于超声(US)观察了人类髋关节软骨中糖胺聚糖(GAG)含量的年龄相关性变化。从51 ~ 96岁的髋部骨折患者中采集人体髋关节软骨骨标本70份,分为5组(每组10岁)。首先通过超声测量得到声速(SOS)、US振幅衰减系数(UAA)和归一化宽带US衰减系数(nBUA)等定量声学参数。然后用甲苯胺蓝进行GAG染色。结果:50 ~ 80岁年龄组的SOS、UAA、nBUA分别比80岁年龄组下降5.49%、36.67%、25.57% (p< 0.01), 90岁年龄组比80岁年龄组分别上升0.34%、1.19%、5.23%;SOS与GAG光密度呈线性相关(r=0.825, p<;0.01), UAA与GAG光密度呈线性相关(r=0.708, p<;0.01)。而nBUA与GAG光密度的线性相关性不显著(r=0.688, p <;0.07)。综上所述,老年人髋关节软骨GAG含量随年龄的变化而变化,常规超声有可能用于检测人体髋关节软骨声学参数的年龄相关变化。
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引用次数: 0
Oscillating field stimulation promotes recovery after spinal cord injury in rats: Assessment using behavioral, electrophysiological and histological evaluations. 振荡场刺激促进大鼠脊髓损伤后的恢复:使用行为,电生理和组织学评估的评估。
Cheng Zhang, Guanghao Zhang, Aihua Wang, Changzhe Wu, Xiaolin Huo
OBJECTIVES We explored whether oscillating field stimulation (OFS) could efficiently promote motor function recovery in rat model of spinal cord injury. METHODS SD rats with spinal cord injury induced by Allen method was divided into two groups, experimental group rats received active stimulator units and control group rats received sham (inoperative) stimulator units. The electric field intensity was 600μV/mm, and the polarity alternated every 15 min. RESULTS The results showed that the experimental group rats had significantly better locomotor function recovery (inclined-plane testing and modified Tarlov motor grading scale) 5 weeks after the injury (P<;0.05). OFS treatment significantly decreased motor evoked potential (MEP) latency differences and amplitude differences 4 w and 8 w post injury (P<;0.05, P<;0.01). Furthermore, the number of axons was quantified by immunofluorescence staining of nerve fiber (NF), increased axon numbers were observed at 4 w and 8 w in experimental group (P<;0.05). CONCLUSIONS These findings suggest OFS can promote motor function recovery in SCI rats, and this effect may be related to the improving axon regeneration in spinal cord.
目的探讨振荡场刺激(OFS)是否能有效促进脊髓损伤大鼠运动功能的恢复。方法将Allen法致脊髓损伤大鼠分为两组,实验组大鼠采用主动刺激装置,对照组大鼠采用假(非手术)刺激装置。结果实验组大鼠损伤后5周的运动功能恢复(斜面测试和改良Tarlov运动分级表)明显优于对照组(P<;0.05)。OFS处理显著降低损伤后4、8 w运动诱发电位潜伏期差异和幅度差异(P< 0.05, P< 0.01)。采用神经纤维(NF)免疫荧光染色定量轴突数量,实验组在4、8 w时轴突数量增多(P<;0.05)。结论OFS可促进脊髓损伤大鼠运动功能恢复,其作用可能与促进脊髓轴突再生有关。
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引用次数: 0
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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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