bob手机在线登陆学报自然版

2019, 39(S1): .

Abstract(624) PDF(235)

Abstract:

2019, 39(S1): .

Abstract(573) PDF(218)

Abstract:

Quantitative Detection of MUC1 Protein by Aptamer-Based Fluorescence Analysis

YANG Yuan-zhan, DAI wei-qiang, LÜ Xue-fei, DENG Yu-lin

2019, 39(S1): 1-5. doi:10.15918/j.tbit1001-0645.2019.s1.001

Abstract(4534) PDF(435)

Abstract:
MUC1 is a highly glycosylyted and large-molecular-weight glycoprotein, mainly expressed highly abnormal in breast cancer cells. Its specificity is higher than tissue polypeptide antigen, and its sensitivity is higher than cancer embryo antigen. Therefore, MUC1 possesses great clinical value in the diagnosis of breast cancer, and the development of a highly sensitive detecting method for MUC1 protein plays a more important role for clinical diagnosis. In the present study, sensitive detecting method for MUC1 was based on nucleic acid aptamer-rollong circle amplification (RCA) and graphene oxid-fluorescence resonance energy transfer (GO-FRET). The results show that, the linear range of quantitative detection can reach 50~1 000 pg/mL, and the limit of detection is 28.05 pg/mL, the limit of quantitation is 45.57 pg/mL. The recovery of MUC1 in human serum can be ranged from 96% to 104%.

Genome-Wide Network-Assisted Association and Enrichment Study on CSF t-tau

LI Jin, CHEN Feng, MENG Xiang-lian, BIAN Chen-yuan, LIANG Hong

2019, 39(S1): 6-11. doi:10.15918/j.tbit1001-0645.2019.s1.002

Abstract(4161) PDF(352)

Abstract:
Some genetic variants have been discovered to associated with cerebrospinal fluid (CSF) in Alzheimer's disease, yet it does not adapt with the small effect risk variants and ignores the inter-relationship among loci and outer-relationship with environment. As an alternative strategy, functional network-based and pathway-based information could be involved in high-level variants identify process, from system biology view. On the basis of genome-wide association analysis, a weighted-adjusted PageRank network function module mining strategy was proposed to analysis CSF t-tau, which was arranged as a measure reflecting the early pathological characteristics of Alzheimer's disease. The strategy can not only excavate widely studied t-tau-related genetic variations, but also can excavate subnetworks enriched in pathways, such as neurodegenerative diseases, nervous system and signal transduction. It indicates that, subnetworks identified by the strategy have a certain functional relationship with t-tau at the system biology level.

Research on Interactive Visualization Method of Brain Image and Genomic Data Association

LI Jin, LIU Wen-jie, MENG Xiang-lian, BIAN Chen-yuan, LIANG Hong

2019, 39(S1): 12-18. doi:10.15918/j.tbit1001-0645.2019.s1.003

Abstract(4248) PDF(430)

Abstract:
Visualization is an important part of genome data analysis. However, the size and diversity of data sets generated by today's sorting and array based analysis methods pose major challenges to current visualization tools. For this reason, comparing the advantages and deficiencies with existing visualization tools, a visualization system was designed to extract the significant information from the data of Genome-wide association study (GWAS) and combine this information with the brain image. It can generate a Heatmap Plot of information that the researcher is interested in. The data in the Heatmap Plot can display the Manhattan Plot for the corresponding phenotype and the phenotype information (different regions use different p-value for color rendering) in the Brain Image to the corresponding Single nucleotide polymorphism (SNP). This visualization system would provide the researcher more intuitive visualization.

Simulation Research on Cerebellar Granule Cell Discharge Activity Based on TMAES

ZHANG Shuai, GAO Xin-yu, YIN-Ning, GUO Liang, XU Gui-zhi

2019, 39(S1): 19-27. doi:10.15918/j.tbit1001-0645.2019.s1.004

Abstract(4052) PDF(349)

Abstract:
Transcranial magneto-acoustical electrical stimulation (TMAES) is a new noninvasive technique for brain nerve regulation, presenting a great application prospect. In this technique, the magneto-acoustic effect excited by the interaction of static magnetic field and ultrasonic wave was utilized to generate inductive current in nerve tissue and stimulate nerve tissue. Firstly, a synaptic connection GrC model was established based on cerebellar granular cell model (GrC model), and the action potential of the synaptic connection GrC model stimulated by TMAES was simulated to analyze the propagation direction of the action potential. Secondly, the different positions of neurons were stimulated by changing the synaptic connections of neurons, and the effects of TMAES on excitatory and inhibitory action potentials were compared. Finally, the effect of inhibition on neuronal firing patterns under TMAES was analyzed by changing the position of the inhibition points. The simulation results show that transcranial magnetic acoustic stimulation has an important influence on the firing rhythm of neurons in GrC model. The simulation of two neuron synaptic connection models under TMAES was carried out, which presents a great significance for further exploration and study of neuron conduction and connection modes.

Comparison Experiment Study on the Auditory EEG Evoked with Bone Conduction and Air Conduction

WANG Lei, ZHANG Tian-heng, GUO Miao-miao, ZHANG Ying, YANG Shuo, XU Gui-zhi

2019, 39(S1): 28-32. doi:10.15918/j.tbit1001-0645.2019.s1.005

Abstract(4197) PDF(393)

Abstract:
The human hearing system can perceive sound through two ways of bone conduction and air conduction. In the bone conduction way, the sound of the voice through the skull vibration directly stimulate the auditory nerve, with anti interference, frequency band wider, without the affection of the middle ear diseases. In this study, the auditory EEG evoked experiments were designed with air conduction and bone conduction way, and compared the results between the two methods from three aspects, waveform analysis, brain electrical activity mapping and brain network analysis. The experimental results show that the two methods can evoke P300 and N200 waveform, and the amplitude of the bone conduction method is significantly higher than that of the air conduction method. There are also significant differences between the two methods of brain network.

Classification of Cell Deformation Dynamics Based on Generative Adversarial Networks

PANG Feng-qian, LIU Zhi-wen, SHI Yong-gang

2019, 39(S1): 33-37. doi:10.15918/j.tbit1001-0645.2019.s1.006

Abstract(4285) PDF(342)

Abstract:
A generative adversarial networks (GANs) based model was proposed to classify cell deformation dynamics. In the framework, an auxiliary classifier GANs (AC-GANs) were introduced to simultaneously train GANs and a classification network for cell deformation dynamics in live-cell videos. The generated samples from GANs could further enhance the performance of the original classification network. To facilitate application of GANs, cell dynamic image was used to encapsulate the cell dynamics in videos along the temporal dimension, making the cell dynamics information mapped from video area to image area for the construction of the GANs. Then, the classification information was employed in AC-GANs to improve the generation of multi-class samples for GANs, and these multi-class samples could enhance the performance of classification net for improving the cell dynamic deformation. Experimental results demonstrate that the proposed pipeline can effectively capture the spatio-temporal cell dynamics from the raw live-cell videos and outperforms existing methods on the live-cell database.

Analyzing Temporal Dynamics of Cell Deformation with Video Feature Aggregation

PANG Feng-Qian, LIU ZHI-WEN, SHI Yong-Gang

2019, 39(S1): 38-42. doi:10.15918/j.tbit1001-0645.2019.s1.007

Abstract(4026) PDF(221)

Abstract:
A modeling method was proposed based on a novel image-based framework to profile and model the cell dynamics in live-cell videos. In the framework, the cell dynamics between frames were represented as frame-level features about cell deformation and intracellular movement. The cell deformation was captured by the shape context, while the intracellular movement was modeled with SIFT (Scale-Invariant Feature Transform) flow. In order to completely evaluate the streaming of protoplasm,an appearance change field was constructed on the basis of the displacement field. Then time series modeling was performed for these frame-level cell dynamic features. Specifically, temporal feature aggregation, and compact encoding in particular, was applied to capturing the video-wide temporal evolution of cell dynamics. A cell-live video dataset was developed to validate the effectiveness of the proposed framework. The experimental results demonstrate that, the proposed method is better than other mainstreaming approaches in measuring and clustering the cell deformation dynamics.

Study on the Limb Imaging Based on an Ultrasound Tomography System

ZHOU Liang, SONG Jun-jie, WANG Shan-shan, ZHANG Qiu-de, DING Ming-yue, YUCHI Ming

2019, 39(S1): 43-47. doi:10.15918/j.tbit1001-0645.2019.s1.008

Abstract(4190) PDF(469)

Abstract:
Ultrasound computed tomography possesses great application prospects in limb imaging, because it not only has the advantages of conventional ultrasound, non-invasive, no radiation, low cost, but also can provide tomography information. In this paper, the system structure, system control and raw data acquisition process of a new ultrasonic tomography system were introduced and compared with the former prototype developed in the medical ultrasound laboratory of HUST. The data acquisition experiments of thigh and calf abdomen were designed for the early studies of the limb ultrasonic imaging. Compared with the common ultrasound image and anatomical structure of the thigh and calf, the images got from the new system possess a high consistency, which provide a good foundation for the follow-up imaging processing of limbs by ultrasound computed tomography.

Development of Real-Time Tracking Software for Puncture Needle in Electromagnetic Locator Based Ultrasonic Image

LAN Yan-cheng, ZHANG Xu-ming

2019, 39(S1): 48-51. doi:10.15918/j.tbit1001-0645.2019.s1.009

Abstract(4093) PDF(311)

Abstract:
Ultrasonic puncture navigation plays an increasingly important role in tissue biopsy and surgical guidance. In this paper, high-precision electromagnetic locators were used to track ultrasound probes and puncture needles in real time, and real-time tracking software for puncture guidance was developed. Firstly, a NDI Aurora electromagnetic locator was used to acquire the three-dimensional coordinates of the puncture needle tip in real time, and the PLUS toolkit was used to acquire data from the electromagnetic locator and the ultrasound machine based on the completion time and spatial calibration (tip calibration, phantom calibration, and probe calibration).Then a conversion matrix was designed for the information got from the electromagnetic positioning coordinate system to the ultrasonic image coordinate system, and the position of the needle tip was converted into an ultrasonic image. Finally, to measure the accuracy of the algorithm, the coordinates of the needle tip in the image were manually selected, multiply samples were averaged, and the coordinate was taken as the standard of measurement. Multiple sets of data were collected and the mean square error (MSE) was calculated for the tip coordinates obtained from the transformation matrix and the standard coordinates. The results, for example MSE 2.456 mm, all are within the acceptable range.

Statistical Deformation Model Based Non-Rigid Multimodal Medical Image Registration

ZHANG Jian-yuan, ZHU Xing-xing, ZHANG Xu-ming

2019, 39(S1): 52-56. doi:10.15918/j.tbit1001-0645.2019.s1.010

Abstract(4117) PDF(303)

Abstract:
There may exist the complex non-rigid deformation among multimodal medical images. To correct such deformations, the nonlinear transformation models with a high degree of freedom must be used. Solving the high-dimensional parameters of the nonlinear transformation directly will not only increase registration time but also affect registration accuracy. To solve this problem, a registration method was proposed based on statistical deformation model in this paper. Firstly, a statistical deformation model was established to statistically learn the non-rigid deformation among a large number of multimodal images, and to greatly reduce the number of parameters in the transformation model, to improve image registration efficiency and accuracy. Experimental results show that, compared with the registration method based on traditional free-form deformation model, the efficiency of the proposed statistical deformation model based registration method can be improved by 52%, and the target registration error can be reduced by 0.503 2 pixels.

Research on Fusion of Acoustic Images Obtained by Scanning Probe Acoustic Microscope

DING Ming-yue, FENG Rui-min, HUANG Jing, CHEN Zhao-zheng, LI Xiao-qing

2019, 39(S1): 57-61. doi:10.15918/j.tbit1001-0645.2019.s1.011

Abstract(4565) PDF(486)

Abstract:
A fusion of acoustic images obtained by scanning probe acoustic microscope (SPAM) was studied under different acoustic frequencies. Firstly, SPAM was used to detect the breast cancer cells, MDA-MB-231 cells, and the acoustic frequency was changed within the range of 3~3 000 kHz to explore its effect on the acoustic imaging of breast cancer cells. Then the acoustic images of breast cancer cells were fused with an image fusion method, combining multi-scale transformation and sparse representation. The results show that, there exists a significant difference in the acoustic images obtained from the same sample under different acoustic frequencies. Moreover, useful information of different acoustic images can be synthesized by image fusion, which is more conducive to direct observation by human eyes or subsequent processing by computer.

A Segmentation Algorithm Based on Fuzzy Sets and Region Growth

DING Ming-yue, CAO Peng-xin, TENG Dai-yu, DUAN Ming-juan

2019, 39(S1): 62-65. doi:10.15918/j.tbit1001-0645.2019.s1.012

Abstract(4065) PDF(362)

Abstract:
A segmentation method was studied for the inferior vena cava of fetus in B-mode ultrasound images in this paper. B-mode ultrasound is a technique widely used in clinic for its convenience, but the images of that have the defect of high noise and low contrast. To effectively segment blood vessels in B-mode ultrasound images, in this paper, a segmentation algorithm based on fuzzy sets and region growth algorithm was presented. A fuzzy set algorithm was used to improve the image contrast in advance, and then the adaptive region growth algorithm was presented based on gradient to segment the image. In this paper, taking the doctor's manual segmentation result as the gold standard, the threshold segmentation and level set algorithm were compared. The experiments show that, the accuracy and stability of this method are higher than threshold segmentation and level segmentation.

A Volume Rendering Method with Aerial Display and Virtual Interaction

GUI Qiu-ling, ZHANG Si-yuan, SONG He, HOU Wen-guang, DING Ming-yue

2019, 39(S1): 66-70. doi:10.15918/j.tbit1001-0645.2019.s1.013

Abstract(4131) PDF(334)

Abstract:
In order to directly observe the three-dimensional visualization results of volume data in three-dimensional space and perform contactless interaction, a volume rendering method was proposed to realize the aerial display and virtual interaction. Applying the aerial display and virtual interaction to the ray casting volume rendering algorithm, a system was designed for drawing aerial display and virtual interaction of volume data. The experimental results show that the medical image data can be displayed in the air well without relying on any display carrier, and the spatial reality is strong. Meanwhile, it can realize non-contact interaction through the sensory perception detection gesture. The interaction mode is flexible, natural and less limited to observer

Localization of Holes on Intramedullary Nail Based on Three Dimensional Images

LUAN Kuan, WANG Lu-lu, LIU Xiao-long, YUAN Hao, LI Jin

2019, 39(S1): 71-76. doi:10.15918/j.tbit1001-0645.2019.s1.014

Abstract(4211) PDF(343)

Abstract:
Localization algorithm for holes on intramedullary nail based on three dimensional images was proposed. Firstly, intramedullary nail was scanned by CT, and a three dimensional (3D) model was obtained according to the CT images. Secondly, a positioning sensor was mounted on the intramedullary nail. The 3D model was registered into the coordinate frame of a positioning system for the intramedullary nail tracking. Finally, a bone drill mounted with a positioning sensor was used to aim at the holes on the intramedullary nail. Two thresholds, the distance threshold and angle threshold, were used to estimate the location relationship of the bone drill and nail hole. The distance threshold was used to determine the distance between the bone drill tip and the center axes of nail hole. The angle threshold was employed to determine the intersection angle between the bone drill and the hole. When the two thresholds were full satisfaction, the bone drill could be allowed to execute bone surgery according to the navigation instruction. Test results show the accuracy and validity of the proposed method. The drill can be placed into the holes on the intramedullary nail accurately, satisfying the need of reconstructive surgery.

Study on the Registration Algorithm of Spatial Point Sets

CONG Yang, LIANG Hong, LUAN Kuan

2019, 39(S1): 77-82. doi:10.15918/j.tbit1001-0645.2019.s1.015

Abstract(4204) PDF(336)

Abstract:
A registration algorithm for the spatial point sets in different coordinate frames was presented. Two steps, the coarse and fine registrations, were designed in the method. In the coarse registration step, the principle component analysis was used to estimate the three main axes for each point set. A space transformation was obtained by aligning the axes of the two point sets. Then the two point sets were roughly registered based on the space transformation. In the fine registration step, an improved iterative method for closest points was used to further optimize the registration locally, and to realize an accurate registration for two spatial point sets located in different initial directions. A phantom experiment was carried out to validate the proposed method. Results show that this method can align the main axes effectively in the coarse registration, and further optimize the results obtained from coarse registration in the fine registration. An accurate registration can be achieved between two point sets in different initial directions. The proposed method can improve the registration accuracy.

An Image Algorithm Based on Mixture Variation for the Pulmonary Electrical Impedance Tomography

ZHANG Shuai, GUO Yun-ge, ZHAO Ming-kang, YIN Ning, XU Jia-yue, XU Gui-zhi

2019, 39(S1): 83-89. doi:10.15918/j.tbit1001-0645.2019.s1.016

Abstract(4240) PDF(534)

Abstract:
Adopting a mixture variation algorithm for reconstructing the image can not only maintain the continuity of the reconstructed results, but also keep the discontinuity during the process. A two-dimensional numerical model on EIT was established based on the finite element method. To optimize the model, we discretized the numerical model, defined the physical characteristics of the model and discrete objects, imposed the boundary condition, calculated the boundary voltage, simulated the forward problems and determined the objective function of the algorithm. Finally, we carried out the image reconstruction and evaluated the performance of the mixture variation algorithm. The structural similarity of the image were improved by about 2% and 2.9%, and the reconstruction speed were increased by about 2.4% and 2.6% respectively, after reconstruction by the mixture variation algorithm under the appropriate weight value compared with that after reconstructed by the Tikhonov algorithm and the total variation algorithm. The mixture variation algorithm can be both used in the image reconstruction of clinical measured data and in the simulation researches and experiments.

COX-2 Targeted Near-Infrared Molecular Imaging Probe for Inflammation and Tumor Monitoring

ZHANG Qi, GU Yue-qing

2019, 39(S1): 90-96. doi:10.15918/j.tbit1001-0645.2019.s1.017

Abstract(4016) PDF(326)

Abstract:
Cyclooxygenase-2, which is a highly expressed protease in inflammation and tumor tissues, can serve as a monitor target for molecular imaging of inflammation and tumor. In this paper, a COX-2 targeted near-infrared probe (CMP) was synthesized based on a COX-2 small molecule inhibitor (celecoxib) and a water-soluble near-infrared dye (ICG-Der-02, MPA).The binding ability of COX-2 protein was verified by molecular docking, dynamic simulation and protein inhibition experiments. Results show that, at the cellular level, CMP can selectively accumulate at the cytoplasm of COX-2-positive cells. In vivo assays, probe guided-imaging in inflamed or cancerous tissues confirms that CMP can bind to the locally endogenic COX-2 and exhibit intense fluorescence. Importantly, the targeting specificity of CMP has been proved as the fluorescence can be significantly reduced by blocking COX-2 active site through preinjection with celecoxib. Therefore, the probe CMP, which possesses excellent near-infrared optical imaging capability and deep tissue penetration, and can specifically target to the high COX-2 site of inflammation and liver tumor, has the application prospect in inflammation and tumor monitoring.

The Evaluation Method of Degree of Electric Field Focalization Induced by Transcranial Magnetic-Acoustical-Electrical Stimulation

ZHANG Shuai, ZHOU Zhen-yu, LIU Ya-ze, ZHAO Ming-kang, ZHANG Hang, XU Gui-zhi

2019, 39(S1): 97-101. doi:10.15918/j.tbit1001-0645.2019.s1.018

Abstract(4221) PDF(352)

Abstract:
Transcranial magnetic-acoustical-electrical stimulation (TMAES) can modulate the firing activity of neurons in the corresponding regions of brain by electric field induced by the combined effect of ultrasound and static magnetic field, and the focusing performance of the induced electric field is a key factor in determining the regulation accuracy. In this paper, we explored the evaluation method of focusing degree of induced electric field by performing modeling, simulation analysis, selection of evaluation index and analysis of electric field focalization. We chose five indicators to measure the level of electric field focalization:depth and intensity of stimulation, focusing area, length of focal region and gradient coefficient of electric field intensity. The results showed that TMAES had good efficacy in stimulating the brain and possessed a high resolution. And the above indicators can accurately describe the distribution characteristics of the induced electric field, and the evaluation method we established can effectively evaluate the focusing performance of TMAES induced electric field.

Research and Application of Sterilization Characteristics of UVC LED

GUO Wei-hong, YUAN Shi-dong, YANG Rui, ZHANG Tao

2019, 39(S1): 102-107. doi:10.15918/j.tbit1001-0645.2019.s1.019

Abstract(4184) PDF(342)

Abstract:
To study the influencing factors and application conditions of UVC LED sterilization ability,Escherichia coliwas sterilized by UVC LED at different exposure times and exposure distances, and the sterilization rate was calculated. The experiment results indicate that the sterilization ability of UVC LED decreases exponentially with the decrease of UV dose, which is affected by UV radiation flux, exposure time and exposure distance. Taking the experimental light source as an example, when the ratio of the exposure time to the square of the exposure distance is more than 20/10^-2s/cm², the sterilization rate of the UVC LED can reach more than 99%. UVC LED can not sterilize by generating ozone, therefore it is only suitable for surface sterilization. Through empirical formula, the application conditions can be estimated. Based on these conclusions, a UVC LED sterilization lamp prototype was designed and produced.

Aptamer-Based Colloidal Gold Chromatography Strips for Rapid Detection of Creatine Kinase-MB

LI Yong-rui, YAO Meng-di, FENG Wei, LV Xue-fei, DENG Yu-lin

2019, 39(S1): 108-115. doi:10.15918/j.tbit1001-0645.2019.s1.020

Abstract(4610) PDF(474)

Abstract:
To reveal the potential myocardial and muscle injury of astronauts during long-duration spaceflight, an aptamer-based colloidal gold chromatography Strips were studied to for rapid Creatine Kinase-MB detection. Firstly, the obtained Creatine Kinase-MB aptamer was screened based on a SELEX method. And then a series of aptamer with strong affinity for Creatine Kinase-MB were selected preferably to be applied to the colloidal gold chromatography strips. By optimizing conditions such as the size of colloidal gold particle and the concentration of buffer, a method of aptamer-based lateral flow strips for rapid CK-MB detection was successfully established. The results show that, the aptamers with affinity for Creatine Kinase-MB screened by a magnetic bead-based nucleic acid aptamer screening method can be used to construct an aptamer-based colloidal gold chromatography strips. It has been successfully applied to the rapid and visual detection of Creatine Kinase-MB above 82 nM. At the same time, chromatography strips can be used for future space medical instant detection as its better specificity and stability.

The Role of Ferroptosis in the Field of Glioma Treatment

ZHANG Peng, PEI Si-zhu, MA Hong

2019, 39(S1): 116-121. doi:10.15918/j.tbit1001-0645.2019.s1.021

Abstract(4161) PDF(408)

Abstract:
Erastin causes ferroptosis (this form of iron-dependent cell death is distinct from apoptosis, necroptosis, and autophagy) by inhibiting the activity of SLC7A11 to acquire cystine/glutamate. However, the molecular mechanism of iron death regulation remains largely unknown. Studying the effects of ferroptosis on glial cells plays an important role in the treatment of glioma. The cells of the dosing group and the cells after irradiation were counted by MTS method and MILLIPORE Scepter hand-held automated cell counter, respectively. Wild type glioma cells U87MG and P53 mutant glioma cells U251MG were cultured with different concentrations of Erastin. Analysis results show that, the U87MG is sensitive to Erastin. Besides, Gamma rays can not further promote the ferroptosis caused by Erastin. Traditional Chinese medicine Dragon Blood with anti-oxidation can effectively inhibit ferroptosis caused by Erastin. In summary, the Erastin can play an important role in the field of glioma chemotherapy, and the Dragon's blood can play an important role in inhibiting iron death and protecting healthy cells.

Process of Microfluidic Fabrication and Biocompatibility Exploration

ZHOU Di, LI Rui, DENG Yu-lin

2019, 39(S1): 122-125. doi:10.15918/j.tbit1001-0645.2019.s1.022

Abstract(4271) PDF(301)

Abstract:
The study of Microfluidic chip has been a popular research area for its low reagent consumption, integration and high throughput. Researchers prefer glass chip as their experimental platform for its favourable optical properties and mature process. In this paper, the progress of wet-etchingin glass microfluidic chip was analyzed and the biocompatibilities of the substrate after etching technique were explored. The results show that, the broadening can reach 100μm and biocompability is more reliable after H₂SO₄disposed. As a result, it is necessary to provide appropriate cleaning and coating which might ensure follow-up operation. It provides a reference and guidance for microfluidic chip experiments.

Wrist Sign Parameter Monitoring Device Based on Near Field Communication Transmission

PANG Yu, LUO Guo-qing, WANG Hui-qian, ZHOU Xing-yue, YUAN Peng-fei, YANG Miao

2019, 39(S1): 126-131. doi:10.15918/j.tbit1001-0645.2019.s1.023

Abstract(4093) PDF(314)

Abstract:
In view of the lack of portable medical equipment in modern battlefield armored ambulances, a wrist-type physical parameter monitoring device was designed for armored ambulances. In the device, a reflective principle based MAX30102 biosensor was used to acquire the photoplethysmogra-phy (PPG). The low-pass filter and least squares polynomial were used to remove the high-frequency noise and baseline drift in the PPG signal. The signal processing was completed and the blood oxygen saturation, pulse rate signs parameters were calculated by the STM32 microcontroller. Physical parameters was arranged to not only display in real time on the OLED screen, but also to be written near field communication (NFC) tags, and transmitted to the terminal through the near field communication reader for medical personnel reference. According to the test result, the blood oxygenation error of device can attain ±3%, the pulse rate error attain ±5 times/minute, and the near field communication success rate attain 97%.

Wearable Low-intensity Focused Ultrasound Therapy Rehabilitation Stickers

PANG Yu, GOU Jun-quan, ZHANG Cheng, HOU Hong-yu, WANG Hui-qian

2019, 39(S1): 132-135. doi:10.15918/j.tbit1001-0645.2019.s1.024

Abstract(4141) PDF(297)

Abstract:
In this paper, a wearable low-intensity focused ultrasound therapy device was designed to treat human soft tissue injury, relieve pain, and speed up the condition. Firstly, a QI standard wireless charging module was used to provide energy for the entire device. And an integrated conversion circuit with high conversion rate was designed to convert the voltage from 3.3 V to 5 V, providing voltage for the driving circuit. Then the remote control device controlled by the nRF24L01 module was used to control the ultrasonic rehabilitation paste. The STM32L151 microcontroller combined with PID algorithm can produce 1 MHz PWM wave, and the control drive circuit can drive piezoelectric ceramic chip to produce frequency of 1 MHz, strength of 100 mW/cm², 132 mW/cm², 150 mW/cm²three gears ultrasonic. The device possesses the characteristics, including small size, fast charging, light weight, low cost, no coupling agent, wearable, high electro-acoustic conversion efficiency.

Research and Design of Bio-Electrical Stimulator Based on 1/f Characteristic

HOU Hong-yu, PANG Yu, ZHANG Cheng, GOU Jun-quan, YUAN Peng-fei

2019, 39(S1): 136-140. doi:10.15918/j.tbit1001-0645.2019.s1.025

Abstract(3903) PDF(292)

Abstract:
In order to avoid the tolerance to stimuli during the electrotherapy process and to obtain the "natural" electrical stimulation that makes people feel comfortable, a design scheme based on the "1/f fluctuation" theory was proposed to design a portable electrical stimulator that wirelessly communicates with a smart terminal device. The design was carried out from the aspects of electric pulse frequency, wave width, amplitude and waveform. And three groups of contrast experiments were designed. The experience felling and efficacy effect of the electrostimulator were evaluated by semantic analysis and analysis of variance. The experimental results show that, compared with the common groups, the test factors of the electrical stimulator designed by "1/f fluctuation" theory areF>F_0.01(1,22)in the experience felling andF_0.05(1,22)<F<F_0.01(1,22)in the efficacy.

A Digital Control Simulation Platform for Medical Breathing Application

QIU Zhi-qiang, WU Kai-zhi, LIAO Jing, DAI Shao-fei

2019, 39(S1): 141-146. doi:10.15918/j.tbit1001-0645.2019.s1.026

Abstract(4119) PDF(338)

Abstract:
In order to provide data for the validation of respiratory compensation method, a medical respiratory simulation platform with computer digital control was designed. In this paper, the fitting respiratory motion curve was mapped into three-dimensional coordinate data. Taking the ATmega2560 as the core, using the 42BYGH34 two-phase stepping motors, a three-dimensional motion platform was designed to simulate human respiratory movement. Firstly, the three-dimensional motion curve data sent from the host computer were analyzed by a single-chip microcomputer. And then the data were converted into a driving signal to drive the two-phase stepping motors with the driving chip, thereby drive the phantom on the fixture connected with the belt to do periodic motion, simulating the human body organ. The test results validate the stability and the reliability of the simulation platform. The simulation system can provide a platform for the collection of standard respiratory motion data.

Studies on Visual Semantic-Structural Parsing of Sign Languages

YANG Quan, XUE Fang, LU Jia-lei, CHEN Xin, LIANG Heng

2019, 39(S1): 147-152. doi:10.15918/j.tbit1001-0645.2019.s1.027

Abstract(3963) PDF(281)

Abstract:
Sign languages are visually perceived, which describes the parts of an object and their relations based on the invariable structure. It is realized by disassembling the whole into parts and subsequently recombining them. In our research, the salient visual regions were firstly calculated in the views of the hearing-impaired person by simulating their cognitive mode about sign languages. Afterwards, the visual seeds of focus were concentrated on the hands to improve its effectiveness. Finally, we obtained the sub-sign language by making the generated semantic superpixels as the parts, which were mapped into the finger skeleton, or shrinking the palm to a node. By disassembling the images (states) of sign languages according to their anatomical structures, the visual semantic-structural parsing is preliminarily realized for a set of words of the similar sign language.

Toxicological Study on the Preparation of Compound Nutrients

LU Zi-jia, XIE Yao

2019, 39(S1): 153-158. doi:10.15918/j.tbit1001-0645.2019.s1.028

Abstract(4023) PDF(221)

Abstract:
Several tests were carried out to study the toxicology of the preparation of compound nutrients, including acute toxicity test in mice, genetic toxicity test (Ames test, mice bone marrow cell micronucleus test and mice sperm abnormality test), and 30 days feeding test in rats. The preparation of compound nutrients was made mainly of lycopene and grape seed extract. The results show that, the MTD of the tested are more than 20 000 mg/kg BW, acute toxicity is no toxicity; the three genetic toxicity tests are all negative; in 30 days feeding test, each dose group rats grows well, blood indexes and histological examination etc. are no abnormal changes related to the sample. It can be concluded that the preparation of compound nutrients is safe under the test dose.

Image Segmentation of Hippocampal Subfields with Generative Adversarial Networks

CHENG Kun, SHI Yong-gang, LI Yi-tong, LIU Zhi-wen

2019, 39(S1): 159-163. doi:10.15918/j.tbit1001-0645.2019.s1.029

Abstract(4277) PDF(381)

Abstract:
Attribute to the small structures and the morphological complexity of the hippocampal subfields, it is hard to obtain desirable segmentation results with the traditional segmentation methods. Therefore,we introduce generative adversarial networks into image segmentation of hippocampal subfields. The introduced method can achieve the pixel-level segmentation of brain MR images. The generative model and the adversarial model are trained alternately. The approach was tested based on the brain MRI images of 32 volunteers from the CIND Center in San Francisco, USA. It was compared quantitatively and qualitatively with methods based on the sparse representation and dictionary learning and CNN. The results showed that the proposed method, which achieved a significant improvement in the segmentation accuracy of the hippocampal subfields, outperforms the existing methods based on the dictionary learning and sparse representation and CNN. The results reveal that the introduced method can effectively improve the segmentation accuracy of hippocampal subfields in the brain MRI images, which will provide the basis for the clinical diagnosis and treatment of neurodegenerative diseases.

Signal Processing Technology for Ion Mobility Spectrometry Based on Wavelet Transform

ZHANG Zhi-Guang, LI Ning, BAO Yun-Tai, ZHANG Yang-Tian

2019, 39(S1): 164-167. doi:10.15918/j.tbit1001-0645.2019.s1.030

Abstract(4084) PDF(285)

Abstract:
Aiming at the actuality that Ion Mobility Spectrometry (IMS) signal is disturbed by the noise, the wavelet threshold denoising method is developed for decreasing the original IMS signal noise. Taking 1ng TNT signals in the image as trial objects, we established a wavelet transform based denoising model by optimizing some key parameters, including threshold calculation principle, threshold processing methods, and wavelet selection. The result showed that the noise of original IMS signal was suppressed effectively according to the universal threshold selection rule after we decomposed the original signal in three layers with sym5 wavelet and processed and reconstructed the wavelet coefficients with the soft threshold method.

Simulation Research of Limited-View Magnetoacoustic Tomography With Magnetic Induction Methods

ZHANG Shuai, LI Zi-xiu, LI Wen-long, ZHOU Zhen-yu, ZHAO Ming-kang, XU Gui-zhi

2019, 39(S1): 168-175. doi:10.15918/j.tbit1001-0645.2019.s1.031

Abstract(3874) PDF(340)

Abstract:
Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) is a new imaging modality that combines magnetic induction imaging technology and ultrasound tomography imaging technology. The existing research on MAT-MI build up the image reconstruction mostly based on the full-angle ultrasound scan data. So in the absence of complete data, the reconstruction process may introduce the large errors and generate image artifacts. In this paper, the limited view MAT-MI reconstruction method is proposed.Taking the acoustic uniform concentric sphere models with different radius as the research objects,we simulated the distribution of eddy current, sound source and sound pressure in the sample reestablished the limited-view sound source by using the fast splitting Bregman method, and finally reconstructed the conductivity distribution. The results showed that the proposed imaging method can accurately reconstruct the sound source and conductivity distribution in the acoustic medium with limited viewing angle. The research will help to promote the clinical application of MAT-MI, which has great scientific significance and actual application value.

Design and Implementation of a Real-time Emotion Recognition System Based on Physiological signals

LIU Xin, ZHONG Man-li, LIN Yan-fei, LIU Zhi-wen

2019, 39(S1): 176-180. doi:10.15918/j.tbit1001-0645.2019.s1.032

Abstract(4213) PDF(383)

Abstract:
In this research, we designed and implemented a real-time emotion recognition system by using physiological signals. The video materials were used to stimulate subjects' emotions of happiness, surprise, sadness, anger, fear and calmness. The MP160 physiological recorder was used to collect the physiological signals of ECG, myoelectricity, skin conductance, respiration and skin temperature of the subjects under the each emotion condition. After preprocessing, the combined algorithm including PCA and SVM was used to realize real-time classification of emotions. Finally, the system took four students as the subjects of the experiments, and the average recognition rate of the six emotions was 70%.

Research on the Activation of Mirror Nervous System by Speech Stimulation

GUO Miao-miao, QI Zhi-guang, WANG Lei, JING Ming, XU Gui-zhi

2019, 39(S1): 181-185. doi:10.15918/j.tbit1001-0645.2019.s1.033

Abstract(4021) PDF(437)

Abstract:
Mirror neurons have profound influence on multiple aspects of human including action understanding, speech and language, empathy and so on. Motor theory of speech perception has verified the important role of mirror nervous system in human body. Based on this, the electroencephalography (EEG) of the subjects was collected in the form of pictures, audios and voice mouth action videos when they read some different Chinese characters silently. The EEG topographic maps were generated by common spatial pattern (CSP), and the classification accuracy of different states of three stimuli was obtained by using support vector machine (SVM). The results showed that with the deepening of sensory stimulation in dimension, the motor cortices of the subjects were significantly activated, the activated area was more concentrated, and the classification accuracy was improved accordingly. The classification accuracy of two words of the audio and video stimuli increased by an average of 2.5% and 4.3% respectively compared that with image stimulus. This study will lay the groundwork for the clinical treatment of brain injury in the future.

EEG Classification Algorithm for Rapid Serial Visual Presentation Task

LI Bo-wen, LIU Zhi-wen, GAO Xiao-ge, LIN Yan-fei

2019, 39(S1): 186-190. doi:10.15918/j.tbit1001-0645.2019.s1.034

Abstract(4097) PDF(365)

Abstract:
In this project, we proposed a classification algorithm of electroencephalogram (EEG) signals in order to fulfill the Rapid Serial Visual Presentation (RSVP) task. Firstly, the EEG signals of the subjects were recorded when they received the image sequences and then segmented to creat a sample set. Secondly, by confining the difference between the sample and the sample center after supervised dimensionality reduction, the mapping matrix was obtained after training EEG data from the training set. EEG samples of training set and test set were transformed into feature vectors by using feature extracting function, and support vector machine (SVM) was used to classify the EEG samples. The experiment results showed that the average classification accuracy rate of EEG of 24 subjects was 91.5% and the average AUC was 0.95, which indicates that the EEG classification algorithm has good classification performance and can accurately detect target images in the Rapid Serial Visual Presentation tasks.

Submission System

Author Related

Writing Norms

Links

2019 Vol. 39, No. S1

Archive