Soil microorganisms play an important role in the nutrient transformation and circulation of terrestrial ecosystem. Some studies found that intact soil microbial community could purify the soil environment and promote plant growth. However, the effects of intact soil microbial community and their affect mechanisms were not clearly known. In order to further understand the effects of intact soil bacterial community, we aim to monitor changes of soil physical and chemical properties and the growth of plants in soils with intact and damaged soil bacterial communities, respectively. The results showed that the intact soil bacterial community significantly affected the growth of roots, and had a significant impact on soil nutrients and enzyme activities.
{"title":"Effects of Intact Soil Bacterial Community on Plant Growth and Soil Physicochemical Properties: Effects of Intact Soil Bacterial Community","authors":"Yumeng Lu, Yanlin Sun, Qingrong Huang","doi":"10.1145/3469678.3469711","DOIUrl":"https://doi.org/10.1145/3469678.3469711","url":null,"abstract":"Soil microorganisms play an important role in the nutrient transformation and circulation of terrestrial ecosystem. Some studies found that intact soil microbial community could purify the soil environment and promote plant growth. However, the effects of intact soil microbial community and their affect mechanisms were not clearly known. In order to further understand the effects of intact soil bacterial community, we aim to monitor changes of soil physical and chemical properties and the growth of plants in soils with intact and damaged soil bacterial communities, respectively. The results showed that the intact soil bacterial community significantly affected the growth of roots, and had a significant impact on soil nutrients and enzyme activities.","PeriodicalId":22513,"journal":{"name":"The Fifth International Conference on Biological Information and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74649344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jun Zhong, Ping Zhang, Jie Wu, Qiao-yu Liu, Jingjing Yang, Jingyun Fu
First, to analyze the risk factors of hyperglycemia in Growth hormone-secreting pituitary adenoma(GHPA) by comparing clinical data, biochemical indexes, and imaging data. Second, to study the correlation between growth hormone receptor (GHR) gene polymorphism and hyperglycemia. The results of this study will help to evaluate the GHPA condition and choose effective treatment measures, reduce the GHPA clinical mortality and improve the prognosis of GHPA. From January 2014 to July 2020, we collected 120 patients 18-75 years old who were diagnosed with GHPA in the First Affiliated Hospital of Kunming Medical University. According to blood glucose levels, they were divided into hyperglycemia as the study group and normal blood glucose as a control group. The course of the disease, BMI, FPG, GH, HOMA-IR, and PBG was with statistically significant differences in hyperglycemia patients(P < 0.05).However,gender,age,PRL,The size of the tumor volume,HOMA-β,0'INS,120'INS,0'C-P,120'C-P,IGF-1 and HbA1c were with statistically significant differences(P > 0.05)compared with control group.In the study, The risk factors associated with hyperglycemia in GHPA were the course of the disease, BMI, GH, and FPG.In the study group, FPG was positively correlated with the size of the tumor volume and GH.PBG was positively correlated with FPG and HOMA-IR and negatively correlated with HOMA-β.In the subgroup analysis of the study group, FPG was with statistically significant differences (P=0.049). The results showed that FPG between the microadenoma group and the giant adenoma group was with statistically significant differences (P=0.019). However, PBG wasn't with statistically significant differences (P=0.133).In the present study, when we performed correlation analysis of risk factors and GHR genotype polymorphisms, we found that d3/d3GHR was significantly associated with BMI compared to f1/d3GHR (P=0.049), and d3/d3GHR explained 29.44% of the variation in BMI values;d3/d3GHR had a lower BMI value of 4.83kg/ m2.d3/d3GHR was not significantly correlated with GH (P=0.965), FPG (P=0.625), and the course of disease (P=0.755) compared to f1/d3GHR.
{"title":"Analysis of Risk Factors for Hyperglycemia and GHR Gene Polymorphism in Growth Hormone secreting Pituitary Adenoma","authors":"Jun Zhong, Ping Zhang, Jie Wu, Qiao-yu Liu, Jingjing Yang, Jingyun Fu","doi":"10.1145/3469678.3469716","DOIUrl":"https://doi.org/10.1145/3469678.3469716","url":null,"abstract":"First, to analyze the risk factors of hyperglycemia in Growth hormone-secreting pituitary adenoma(GHPA) by comparing clinical data, biochemical indexes, and imaging data. Second, to study the correlation between growth hormone receptor (GHR) gene polymorphism and hyperglycemia. The results of this study will help to evaluate the GHPA condition and choose effective treatment measures, reduce the GHPA clinical mortality and improve the prognosis of GHPA. From January 2014 to July 2020, we collected 120 patients 18-75 years old who were diagnosed with GHPA in the First Affiliated Hospital of Kunming Medical University. According to blood glucose levels, they were divided into hyperglycemia as the study group and normal blood glucose as a control group. The course of the disease, BMI, FPG, GH, HOMA-IR, and PBG was with statistically significant differences in hyperglycemia patients(P < 0.05).However,gender,age,PRL,The size of the tumor volume,HOMA-β,0'INS,120'INS,0'C-P,120'C-P,IGF-1 and HbA1c were with statistically significant differences(P > 0.05)compared with control group.In the study, The risk factors associated with hyperglycemia in GHPA were the course of the disease, BMI, GH, and FPG.In the study group, FPG was positively correlated with the size of the tumor volume and GH.PBG was positively correlated with FPG and HOMA-IR and negatively correlated with HOMA-β.In the subgroup analysis of the study group, FPG was with statistically significant differences (P=0.049). The results showed that FPG between the microadenoma group and the giant adenoma group was with statistically significant differences (P=0.019). However, PBG wasn't with statistically significant differences (P=0.133).In the present study, when we performed correlation analysis of risk factors and GHR genotype polymorphisms, we found that d3/d3GHR was significantly associated with BMI compared to f1/d3GHR (P=0.049), and d3/d3GHR explained 29.44% of the variation in BMI values;d3/d3GHR had a lower BMI value of 4.83kg/ m2.d3/d3GHR was not significantly correlated with GH (P=0.965), FPG (P=0.625), and the course of disease (P=0.755) compared to f1/d3GHR.","PeriodicalId":22513,"journal":{"name":"The Fifth International Conference on Biological Information and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78995951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Transcranial electrical stimulation (tES) is a promising non-invasive brain modulation technique in clinical application. Optimization methods have been used to provide optimal stimulus patterns to improve focality and intensity at target based on accurate individual head model, but most of tES optimization approaches were implemented using the same small size electrode. There is a lack of relevant research that investigate the effect of electrode size and maximum current limitation on tES optimization. The purpose of this study is to evaluate the optimization performance using multi-size electrode and different maximum current limitations at each electrode. By quantitatively comparing distribution changes of electric field and optimal current, it was found that electrode size has no significant effect on stimulation optimization within certain range. More focal fields and fewer active electrodes were observed when the maximum per electrode current limitation increases. It suggests that tolerance and operability of tES could improve when the maximum current limitation for per electrode and electrode size increases synchronously.
{"title":"Effect of Electrode Size and Maximum Current Limitation on Multichannel Transcranial Electrical Stimulation Optimization","authors":"Minmin Wang, Shenghua Zhu, Liping Qin, Jianmin Zhang, Shaomin Zhang","doi":"10.1145/3469678.3469679","DOIUrl":"https://doi.org/10.1145/3469678.3469679","url":null,"abstract":"Transcranial electrical stimulation (tES) is a promising non-invasive brain modulation technique in clinical application. Optimization methods have been used to provide optimal stimulus patterns to improve focality and intensity at target based on accurate individual head model, but most of tES optimization approaches were implemented using the same small size electrode. There is a lack of relevant research that investigate the effect of electrode size and maximum current limitation on tES optimization. The purpose of this study is to evaluate the optimization performance using multi-size electrode and different maximum current limitations at each electrode. By quantitatively comparing distribution changes of electric field and optimal current, it was found that electrode size has no significant effect on stimulation optimization within certain range. More focal fields and fewer active electrodes were observed when the maximum per electrode current limitation increases. It suggests that tolerance and operability of tES could improve when the maximum current limitation for per electrode and electrode size increases synchronously.","PeriodicalId":22513,"journal":{"name":"The Fifth International Conference on Biological Information and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85243298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Multi-scale pathological fluid segmentation is of great importance for the diagnosis and treatment of various eye diseases such as neovascular age-related macular degeneration (nAMD) and diabetic macular edema (DME). Despite significant progress in recent years, there are still several important issues remain unsolved. First, abnormal fluid lesions in optical coherence tomography (OCT) show large variations in location, size, and shape. Second, fluid lesions are contiguous regions with smooth surfaces and without holes inside. In this study, we introduce an adapted fully convolutional neural network (FCN) architecture to improve the ability of the network to extract multi-scale fluid lesions in OCT. Then we introduced a novel curvature loss term to regularize the shape prior in the loss function. The proposed method was extensively evaluated on RETOUCH dataset with a mean Dice score (DSC) of 0.767 and mean absolute volume difference (AVD) of 0.036 mm3, which improved significantly compared with the state-of-the-art methods.
{"title":"Fluid Segmentation in OCT with an Improved Convolutional Neural Network","authors":"Gang Xing, Jianqin Lei, Xiayu Xu","doi":"10.1145/3469678.3469699","DOIUrl":"https://doi.org/10.1145/3469678.3469699","url":null,"abstract":"Multi-scale pathological fluid segmentation is of great importance for the diagnosis and treatment of various eye diseases such as neovascular age-related macular degeneration (nAMD) and diabetic macular edema (DME). Despite significant progress in recent years, there are still several important issues remain unsolved. First, abnormal fluid lesions in optical coherence tomography (OCT) show large variations in location, size, and shape. Second, fluid lesions are contiguous regions with smooth surfaces and without holes inside. In this study, we introduce an adapted fully convolutional neural network (FCN) architecture to improve the ability of the network to extract multi-scale fluid lesions in OCT. Then we introduced a novel curvature loss term to regularize the shape prior in the loss function. The proposed method was extensively evaluated on RETOUCH dataset with a mean Dice score (DSC) of 0.767 and mean absolute volume difference (AVD) of 0.036 mm3, which improved significantly compared with the state-of-the-art methods.","PeriodicalId":22513,"journal":{"name":"The Fifth International Conference on Biological Information and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80251706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
What is the impact of vaccine research and development on the prevention and control of infectious diseases, and what is the path of the impact? In this paper, the vaccination rate and effective rate were introduced into the system dynamics model of infectious diseases, based on the prevention and control of epidemic situation in Hubei. And the simulation experiments were carried out on the prevention and control of vaccination. The study of this paper shows that comprehensive vaccination can reduce the peak scale of the epidemic by a hundred times, and the death toll can also be reduced greatly. The higher the vaccination rate and effective rate of the vaccine, the smaller the scale of the epidemic, and the shorter the duration of the epidemic. The vaccine effective rate less than 50% cannot achieve the effect of epidemic prevention and control, and the epidemic will continue to expand for a period of time in the early stage when the vaccine vaccination rate and effective rate are not high. Therefor there is still no possibility to relieve vigilance. We should continue other prevention and control measures, and strengthen the efforts on the research and development as soon as possible to improve the effectiveness of the vaccine.
{"title":"Analysis of the Vaccine Effect on Infectious Diseases by System Dynamics Model","authors":"Chen-mei Zhao, Xun Liang, Hui Zhao","doi":"10.1145/3469678.3469696","DOIUrl":"https://doi.org/10.1145/3469678.3469696","url":null,"abstract":"What is the impact of vaccine research and development on the prevention and control of infectious diseases, and what is the path of the impact? In this paper, the vaccination rate and effective rate were introduced into the system dynamics model of infectious diseases, based on the prevention and control of epidemic situation in Hubei. And the simulation experiments were carried out on the prevention and control of vaccination. The study of this paper shows that comprehensive vaccination can reduce the peak scale of the epidemic by a hundred times, and the death toll can also be reduced greatly. The higher the vaccination rate and effective rate of the vaccine, the smaller the scale of the epidemic, and the shorter the duration of the epidemic. The vaccine effective rate less than 50% cannot achieve the effect of epidemic prevention and control, and the epidemic will continue to expand for a period of time in the early stage when the vaccine vaccination rate and effective rate are not high. Therefor there is still no possibility to relieve vigilance. We should continue other prevention and control measures, and strengthen the efforts on the research and development as soon as possible to improve the effectiveness of the vaccine.","PeriodicalId":22513,"journal":{"name":"The Fifth International Conference on Biological Information and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90741339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: This study aims to identify hub genes and key pathways associated with bladder cancer. Methods: bladder cancer related dataset GSE40355/GPL13497 was obtained from the GEO database, regarding algorithms were utilized to filter differentially expressed genes. GO analysis, KEGG analysis were run on the differentially expressed genes found. Furthermore, Protein-protein Interaction Network was built and hub genes were found based on the result. Results: 2,530 differentially expressed genes were found with the constrained conditions of |log 2(FC)| > 2.5, adj.P.value < 0.01. GO analysis indicates that the molecular functions of the differentially expressed genes found mostly enriched on cell adhesion molecule binding, actin binding, DNA-binding transcription activator activity (RNA polymerase II-specific), while the KEGG analysis showed that the signaling pathways mainly enriched on MAPK signaling pathway, cAMP signaling pathway and Calcium signaling pathway. Moreover, 7 hub genes located were significantly up-regulated or down-regulated. Conclusion: Genes related closely to bladder cancer were found through bioinformatical analysis, and 7 hub genes were obtained, therefore paved the way for the further researches.
{"title":"Differential Expression Analysis Basing on Bladder Cancer on Dataset GSE40355/GPL13497","authors":"Yi-Ching Tang, Jingyan Diao, Degang Zhu","doi":"10.1145/3469678.3469692","DOIUrl":"https://doi.org/10.1145/3469678.3469692","url":null,"abstract":"Objective: This study aims to identify hub genes and key pathways associated with bladder cancer. Methods: bladder cancer related dataset GSE40355/GPL13497 was obtained from the GEO database, regarding algorithms were utilized to filter differentially expressed genes. GO analysis, KEGG analysis were run on the differentially expressed genes found. Furthermore, Protein-protein Interaction Network was built and hub genes were found based on the result. Results: 2,530 differentially expressed genes were found with the constrained conditions of |log 2(FC)| > 2.5, adj.P.value < 0.01. GO analysis indicates that the molecular functions of the differentially expressed genes found mostly enriched on cell adhesion molecule binding, actin binding, DNA-binding transcription activator activity (RNA polymerase II-specific), while the KEGG analysis showed that the signaling pathways mainly enriched on MAPK signaling pathway, cAMP signaling pathway and Calcium signaling pathway. Moreover, 7 hub genes located were significantly up-regulated or down-regulated. Conclusion: Genes related closely to bladder cancer were found through bioinformatical analysis, and 7 hub genes were obtained, therefore paved the way for the further researches.","PeriodicalId":22513,"journal":{"name":"The Fifth International Conference on Biological Information and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75862456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiacheng Tian, P. Zhou, Fangmin Sun, Tao Wang, Hexiang Zhang
Gym exercise has become a focus of attention nowadays because of its health benefits. Automatic gym exercise recognition is an emerging research field which aimed at guiding people to keep fit scientifically through gym exercise monitoring. However, as the actions of gym exercise (e.g. barbell bench press, leg extension, etc.) are more diversity and complexity than outdoor exercise (e.g. running, cycling, etc.). Previous studies increase the number of sensors to improve the accuracy gym exercise recognition, while wearing too many sensors make the subjects uncomfortable during gym exercise. In this study, we studied the performance of different classifiers on gym exercise recognition, then the impact of the number of sensors and the positions of the sensor on the body on the recognition performance was analyzed based on the Extra Trees (ET) classifier. Finally, a stratification fusion method using only two sensors was proposed according to the analysis results. The experimental results showed that when two sensors were used to identify eight kinds of gym exercises, the accuracy of the proposed stratification fusion method was 91.26%.
{"title":"Wearable IMU-based Gym Exercise Recognition Using Data Fusion Methods","authors":"Jiacheng Tian, P. Zhou, Fangmin Sun, Tao Wang, Hexiang Zhang","doi":"10.1145/3469678.3469705","DOIUrl":"https://doi.org/10.1145/3469678.3469705","url":null,"abstract":"Gym exercise has become a focus of attention nowadays because of its health benefits. Automatic gym exercise recognition is an emerging research field which aimed at guiding people to keep fit scientifically through gym exercise monitoring. However, as the actions of gym exercise (e.g. barbell bench press, leg extension, etc.) are more diversity and complexity than outdoor exercise (e.g. running, cycling, etc.). Previous studies increase the number of sensors to improve the accuracy gym exercise recognition, while wearing too many sensors make the subjects uncomfortable during gym exercise. In this study, we studied the performance of different classifiers on gym exercise recognition, then the impact of the number of sensors and the positions of the sensor on the body on the recognition performance was analyzed based on the Extra Trees (ET) classifier. Finally, a stratification fusion method using only two sensors was proposed according to the analysis results. The experimental results showed that when two sensors were used to identify eight kinds of gym exercises, the accuracy of the proposed stratification fusion method was 91.26%.","PeriodicalId":22513,"journal":{"name":"The Fifth International Conference on Biological Information and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78517831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jian-jun Yan, Guangyao Zhu, Rui Guo, Yiqin Wang, Haixia Yan
The pulse wave at the human radial artery is closely related to the health status of the cardiovascular system. In this paper, the morphological features of the pulse wave were used to establish a diagnostic model for the severity of coronary atherosclerotic heart disease (CAD). Features of waveform variations were extracted from pulse wave sequences by building a deep learning network, Temporal Convolutional Network (TCN), which mined more detailed waveform information and obtained more comprehensive features of waveform morphology than the classical time domain features extraction method, thus established a TCN-based CAD severity diagnostic model (TCSDM) with better performance. The 64 features extracted by TCN have shown significant differences between the three classes of CAD samples at the 0.05 level, which have provided additional basis for the model's classification decisions. The accuracy of TCSDM has reached 91.17%, an 11.93% improvement compared to the Random Forest-based diagnostic model using classical time domain features. The proposed method for the acquisition of pulse wave morphological features can effectively extract the differential features of different pulse waves. And this method has a great application value in the remote diagnosis of CAD severity because it's non-invasive, rapid and low-cost.
{"title":"TCN-Based Diagnostic Model for the Severity of Coronary Atherosclerotic Heart Disease Using Wrist Pulse Wave Sequence","authors":"Jian-jun Yan, Guangyao Zhu, Rui Guo, Yiqin Wang, Haixia Yan","doi":"10.1145/3469678.3469713","DOIUrl":"https://doi.org/10.1145/3469678.3469713","url":null,"abstract":"The pulse wave at the human radial artery is closely related to the health status of the cardiovascular system. In this paper, the morphological features of the pulse wave were used to establish a diagnostic model for the severity of coronary atherosclerotic heart disease (CAD). Features of waveform variations were extracted from pulse wave sequences by building a deep learning network, Temporal Convolutional Network (TCN), which mined more detailed waveform information and obtained more comprehensive features of waveform morphology than the classical time domain features extraction method, thus established a TCN-based CAD severity diagnostic model (TCSDM) with better performance. The 64 features extracted by TCN have shown significant differences between the three classes of CAD samples at the 0.05 level, which have provided additional basis for the model's classification decisions. The accuracy of TCSDM has reached 91.17%, an 11.93% improvement compared to the Random Forest-based diagnostic model using classical time domain features. The proposed method for the acquisition of pulse wave morphological features can effectively extract the differential features of different pulse waves. And this method has a great application value in the remote diagnosis of CAD severity because it's non-invasive, rapid and low-cost.","PeriodicalId":22513,"journal":{"name":"The Fifth International Conference on Biological Information and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75928109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For patients with medically refractory epilepsy, surgical resection of the epileptogenic zone is one of the effective treatments. The commonly used method is based on the clinician's experience to localize the epileptogenic zone, but there are still some patients without achieving seizure-free after surgery. Therefore, predicting the outcome of surgical treatment may play a key role in subsequent treatment. Epileptic networks using dynamic computational models were used to simulate the seizure process of epilepsy, which could be used to predict the surgical outcome. In this paper, we investigate whether a computational network with causal correlation, instead of undirected correlation, can improve the accuracy of prediction. The directed transfer function (DTF) was used to construct the causal network based on the interictal electrocorticogram (ECoG) from five patients. The outcomes of three patients were predicted correctly, including one who had failed to predict by using the undirected network. This preliminary result suggests that our proposed method using DTF and computational modelling may further improve the accuracy of outcome prediction.
{"title":"Predicting Surgical Outcomes in Epilepsy Patients Using Directed Transfer Function and Computational Model","authors":"Fan Zhou, Ling Han, Chunsheng Li","doi":"10.1145/3469678.3469712","DOIUrl":"https://doi.org/10.1145/3469678.3469712","url":null,"abstract":"For patients with medically refractory epilepsy, surgical resection of the epileptogenic zone is one of the effective treatments. The commonly used method is based on the clinician's experience to localize the epileptogenic zone, but there are still some patients without achieving seizure-free after surgery. Therefore, predicting the outcome of surgical treatment may play a key role in subsequent treatment. Epileptic networks using dynamic computational models were used to simulate the seizure process of epilepsy, which could be used to predict the surgical outcome. In this paper, we investigate whether a computational network with causal correlation, instead of undirected correlation, can improve the accuracy of prediction. The directed transfer function (DTF) was used to construct the causal network based on the interictal electrocorticogram (ECoG) from five patients. The outcomes of three patients were predicted correctly, including one who had failed to predict by using the undirected network. This preliminary result suggests that our proposed method using DTF and computational modelling may further improve the accuracy of outcome prediction.","PeriodicalId":22513,"journal":{"name":"The Fifth International Conference on Biological Information and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75174851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Portable ultrasound equipment has been widely used in emergency, bedside patrol, and chronic disease management. Higher requirements have been put forward for some applications. However, the existing portable ultrasonic equipment still has some problems, such as low wireless transmission rate, high power consumption, and unreliable wireless transmission. To resolve these problems, we propose and implement a wireless transmission system for handheld ultrasonic application. With embedded Linux as the operating system, the paper describes the circuit design and its implementation, as well as system software design. The designed system has been tested. The experiment results show that the transmission rate of the system can reach 367 Mbps. In addition, the system has low power consumption. The stable transmission distance can reach up to 9m.
{"title":"High Speed Wireless Video Transmission for Handheld Ultrasonic System","authors":"Jiang Dai, Xuemei Lei, Fengqi Yu","doi":"10.1145/3469678.3469709","DOIUrl":"https://doi.org/10.1145/3469678.3469709","url":null,"abstract":"Portable ultrasound equipment has been widely used in emergency, bedside patrol, and chronic disease management. Higher requirements have been put forward for some applications. However, the existing portable ultrasonic equipment still has some problems, such as low wireless transmission rate, high power consumption, and unreliable wireless transmission. To resolve these problems, we propose and implement a wireless transmission system for handheld ultrasonic application. With embedded Linux as the operating system, the paper describes the circuit design and its implementation, as well as system software design. The designed system has been tested. The experiment results show that the transmission rate of the system can reach 367 Mbps. In addition, the system has low power consumption. The stable transmission distance can reach up to 9m.","PeriodicalId":22513,"journal":{"name":"The Fifth International Conference on Biological Information and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74830778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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