Pub Date : 2019-03-21DOI: 10.1109/ICBCB.2019.8854639
Qiao Pan, Lan Xiang, Yanhong Jin
Although the frequent pattern mining has attracted widespread attention of scholars, it is undeniable that the rare pattern mining plays a significant role in many fields, such as medical, financial, and scientific fields. And it is more valuable to study the rare pattern mining, because it tends to find some unknown and unexpected associations. There are some previous algorithms of rare itemsets mining, however, Arima spends much time and Rarity wastes much space. So based on the Rarity algorithm, this paper presents an improved top-down approach to efficiently mine all rare itemsets and their association rules, which uses the graph structure to indicate all combinations of existing items in the database, defines a pattern matrix to record all itemsets and the support_count, and combines the hash table to accelerate support calculation to quickly find all rare itemsets, and then generate all patterns to choose useful rules according to their interesting rate. In the experiment, this paper uses the real diabetic clinical data to verify this improved approach and mines some useful rules among the diabetic complications. Moreover, compared with the two methods mentioned above, this method decreases much time and space complexity in the association rules mining.
{"title":"Rare Association Rules Mining of Diabetic Complications Based on Improved Rarity Algorithm","authors":"Qiao Pan, Lan Xiang, Yanhong Jin","doi":"10.1109/ICBCB.2019.8854639","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854639","url":null,"abstract":"Although the frequent pattern mining has attracted widespread attention of scholars, it is undeniable that the rare pattern mining plays a significant role in many fields, such as medical, financial, and scientific fields. And it is more valuable to study the rare pattern mining, because it tends to find some unknown and unexpected associations. There are some previous algorithms of rare itemsets mining, however, Arima spends much time and Rarity wastes much space. So based on the Rarity algorithm, this paper presents an improved top-down approach to efficiently mine all rare itemsets and their association rules, which uses the graph structure to indicate all combinations of existing items in the database, defines a pattern matrix to record all itemsets and the support_count, and combines the hash table to accelerate support calculation to quickly find all rare itemsets, and then generate all patterns to choose useful rules according to their interesting rate. In the experiment, this paper uses the real diabetic clinical data to verify this improved approach and mines some useful rules among the diabetic complications. Moreover, compared with the two methods mentioned above, this method decreases much time and space complexity in the association rules mining.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125444963","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}
Pub Date : 2019-03-21DOI: 10.1109/ICBCB.2019.8854668
Zhuoran Li, Huichuan Duan, Kun Zhao, Yanhui Ding, Yuanjie Zheng
Radiomic is a quantitative method to extract medical features and it can extend details that are invisible to human eyes. Studies have suggested that the radiomics of the hippocampus is a potential imaging biomarker for several diseases, including Alzheimer disease, mild cognitive impairment and multiple sclerosis. The main aim of the present study is to investigate the test-retest reproducibility of the radiomics measures of the hippocampus. For this purpose, the intra-class correlation coefficient (ICC) and overall concordance correlation coefficient (OCCC) of the radiomics properties of the hippocampus were well studied in a dataset including 19 subjects who were scanned two times. The result highlights that most of the hippocampal texture are repeatable, and the possibility that texture may serve as a neuroimaging biomarker for the clinical study.
{"title":"Stability of MRI Radiomic Features of the Hippocampus: An Integrated Analysis of Test-Retest Variability","authors":"Zhuoran Li, Huichuan Duan, Kun Zhao, Yanhui Ding, Yuanjie Zheng","doi":"10.1109/ICBCB.2019.8854668","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854668","url":null,"abstract":"Radiomic is a quantitative method to extract medical features and it can extend details that are invisible to human eyes. Studies have suggested that the radiomics of the hippocampus is a potential imaging biomarker for several diseases, including Alzheimer disease, mild cognitive impairment and multiple sclerosis. The main aim of the present study is to investigate the test-retest reproducibility of the radiomics measures of the hippocampus. For this purpose, the intra-class correlation coefficient (ICC) and overall concordance correlation coefficient (OCCC) of the radiomics properties of the hippocampus were well studied in a dataset including 19 subjects who were scanned two times. The result highlights that most of the hippocampal texture are repeatable, and the possibility that texture may serve as a neuroimaging biomarker for the clinical study.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121687218","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}
Pub Date : 2019-03-21DOI: 10.1109/ICBCB.2019.8854631
Yunlong Wang, Xueliang Bao, Yuxuan Zhou, Xiaoying Lv, Zhigong Wang
In order to recognize upper limb's motion more accurately, this paper presents a method for locating transcutaneous surface electromyography (sEMG) based on traditional Chinese medicine (TCM) acupoint sites. To get sEMG root mean square (RMS) value distribution, sEMG signals of nine kinds of movements of seven healthy individuals were collected under the acupoint coordinate system. Finally, this paper obtains a trans-individual localization map of sEMG detection sites of upper limbs. This method of localization of sEMG detection sites not only can quickly find sites across individual, but also is accepted easily for clinical application.
{"title":"Research on Localization of sEMG Detection Sites Across Individual Upper Limbs","authors":"Yunlong Wang, Xueliang Bao, Yuxuan Zhou, Xiaoying Lv, Zhigong Wang","doi":"10.1109/ICBCB.2019.8854631","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854631","url":null,"abstract":"In order to recognize upper limb's motion more accurately, this paper presents a method for locating transcutaneous surface electromyography (sEMG) based on traditional Chinese medicine (TCM) acupoint sites. To get sEMG root mean square (RMS) value distribution, sEMG signals of nine kinds of movements of seven healthy individuals were collected under the acupoint coordinate system. Finally, this paper obtains a trans-individual localization map of sEMG detection sites of upper limbs. This method of localization of sEMG detection sites not only can quickly find sites across individual, but also is accepted easily for clinical application.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122297045","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}
Pub Date : 2019-03-21DOI: 10.1109/ICBCB.2019.8854633
Min Zhang, Jiale Li, Wenting Ai, Yuxuan Zhao, Wei Liu
Cucumber fruit is susceptible to chilling injury (CI) which results in the cellular structure damage of fruit during low temperature storage. However, visual symptoms of chilling injury may not be observed when they were taken out from low temperature. In this study, the critical value of chilling injury for postharvest cucumber fruit during low temperature storage was investigated. The thermal conductivities of cucumber fruit were determined using a specifically designed thermal conductivity probe system. Combined with the quadratic-orthogonal-rotation-combination design technique, a prediction model based on the chilling injury detection indicators from the ratio of thermal conductivity of cucumber fruit was developed and the critical value of chilling injury detection indicator was identified. Verification test was shown that the suggested prediction model was suitable to estimate safe storage temperature and safe storage time by calculating the critical value for preventing chilling injury. Furthermore, it might be beneficial to provide the potential application of method for chilling injury detection in other cold sensitive fruit.
{"title":"Prediction Model of Chilling Injury Combined with Quadratic-Orthogonal-Rotation-Combination Design Technique for Postharvest Cucumber Fruit during Cold Storage","authors":"Min Zhang, Jiale Li, Wenting Ai, Yuxuan Zhao, Wei Liu","doi":"10.1109/ICBCB.2019.8854633","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854633","url":null,"abstract":"Cucumber fruit is susceptible to chilling injury (CI) which results in the cellular structure damage of fruit during low temperature storage. However, visual symptoms of chilling injury may not be observed when they were taken out from low temperature. In this study, the critical value of chilling injury for postharvest cucumber fruit during low temperature storage was investigated. The thermal conductivities of cucumber fruit were determined using a specifically designed thermal conductivity probe system. Combined with the quadratic-orthogonal-rotation-combination design technique, a prediction model based on the chilling injury detection indicators from the ratio of thermal conductivity of cucumber fruit was developed and the critical value of chilling injury detection indicator was identified. Verification test was shown that the suggested prediction model was suitable to estimate safe storage temperature and safe storage time by calculating the critical value for preventing chilling injury. Furthermore, it might be beneficial to provide the potential application of method for chilling injury detection in other cold sensitive fruit.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123616102","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}
Pub Date : 2019-03-21DOI: 10.1109/ICBCB.2019.8854636
Yuhan Dong, Jinbo Kang, Rui Wen, Changmin Dai, Xingjun Wang
In this work, we present a novel rule-based method utilizing single nasal pressure (NP) to diagnose sleep apnea-hypopnea syndrome (SAHS) in real-time. The proposed method has adopted several vital parameters to quantify respiratory patterns and updated all the baselines dynamically. We have investigated thirty-five overnight recordings which are manually annotated by certified physicians and conducted event-by-event comparison and statistical analysis for apnea hypopnea index (AHI). The results are promising with 91.6% accuracy and 91.4% sensitivity for merged apnea-hypopnea detection. Furthermore, calculated AHI obtained by the proposed method highly agrees with manual annotations with Pearson's correlation coefficient as high as 0.98. It is plausible that the proposed method is viable to be incorporated into polysomnography (PSG) or other portable devices for automatic sleep disorder monitoring since all the events detected are with high time resolution.
{"title":"A Real-Time Algorithm for Sleep Apnea and Hypopnea Detection","authors":"Yuhan Dong, Jinbo Kang, Rui Wen, Changmin Dai, Xingjun Wang","doi":"10.1109/ICBCB.2019.8854636","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854636","url":null,"abstract":"In this work, we present a novel rule-based method utilizing single nasal pressure (NP) to diagnose sleep apnea-hypopnea syndrome (SAHS) in real-time. The proposed method has adopted several vital parameters to quantify respiratory patterns and updated all the baselines dynamically. We have investigated thirty-five overnight recordings which are manually annotated by certified physicians and conducted event-by-event comparison and statistical analysis for apnea hypopnea index (AHI). The results are promising with 91.6% accuracy and 91.4% sensitivity for merged apnea-hypopnea detection. Furthermore, calculated AHI obtained by the proposed method highly agrees with manual annotations with Pearson's correlation coefficient as high as 0.98. It is plausible that the proposed method is viable to be incorporated into polysomnography (PSG) or other portable devices for automatic sleep disorder monitoring since all the events detected are with high time resolution.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190046","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}
Pub Date : 2019-03-21DOI: 10.1109/ICBCB.2019.8854660
Jianrei Sun, Shi-Meng Ai, H. Luo, Bo Gao
Although the GC content of the human genome is known, it remains undecided whether the base composition is already in equilibrium. This study aimed to examine the equilibrium GC content of the human genome based on 2,504 genomes from the 1000 Genomes Project. By recreating the results of some previous research on genome analysis, we revealed the problems in the results of those studies and the causes of the problems. The present results indicate that the GC content of the human genome has not yet reached equilibrium, and it is evolving toward a higher GC content. Furthermore, by analyzing the quantitative changes in CpG dinucleotides before and after mutations, we found that the effect of methylation on the GC content of a genome is very limited, even leading to an increase in the GC content of the genome rather than only a decrease. These findings, therefore, contradict the traditional perception.
{"title":"Estimation of the Equilibrium GC Content of Human Genome","authors":"Jianrei Sun, Shi-Meng Ai, H. Luo, Bo Gao","doi":"10.1109/ICBCB.2019.8854660","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854660","url":null,"abstract":"Although the GC content of the human genome is known, it remains undecided whether the base composition is already in equilibrium. This study aimed to examine the equilibrium GC content of the human genome based on 2,504 genomes from the 1000 Genomes Project. By recreating the results of some previous research on genome analysis, we revealed the problems in the results of those studies and the causes of the problems. The present results indicate that the GC content of the human genome has not yet reached equilibrium, and it is evolving toward a higher GC content. Furthermore, by analyzing the quantitative changes in CpG dinucleotides before and after mutations, we found that the effect of methylation on the GC content of a genome is very limited, even leading to an increase in the GC content of the genome rather than only a decrease. These findings, therefore, contradict the traditional perception.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128989292","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}
Pub Date : 2019-03-21DOI: 10.1109/ICBCB.2019.8854670
Yuhan Dong, Rui Wen, Zhide Li, Kai Zhang, Lin Zhang
Diabetes is a kind of metabolic disease characterized by increased chronic blood glucose (BG) and may introduce a series of severe complications in a long run. To facilitate health management for diabetic patients, continuous monitoring and prediction of BG concentration are particularly important. Among the popular data driven solutions to BG prediction, machine learning methods, e.g. SVR, RNN and etc., utilize BG data of multiple patients to train the prediction model. However, all the training data sharing the same parameters may not be able to capture the characteristics of BG fluctuation effectively. Motivated by the fact that different subgroups of diabetic patients possess different BG fluctuation patterns, we propose a new BG prediction approach referred to as Clu-RNN based on recurrent neural networks (RNN) by incorporating a pre-process of clustering into the classical RNN. Numerical results suggest that the proposed Clu-RNN approach utilizes more than one cluster for both type I and type II diabetes and has gained improvements compared with support vector regression (SVR) and other RNN methods in terms of BG prediction accuracy.
{"title":"Clu-RNN: A New RNN Based Approach to Diabetic Blood Glucose Prediction","authors":"Yuhan Dong, Rui Wen, Zhide Li, Kai Zhang, Lin Zhang","doi":"10.1109/ICBCB.2019.8854670","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854670","url":null,"abstract":"Diabetes is a kind of metabolic disease characterized by increased chronic blood glucose (BG) and may introduce a series of severe complications in a long run. To facilitate health management for diabetic patients, continuous monitoring and prediction of BG concentration are particularly important. Among the popular data driven solutions to BG prediction, machine learning methods, e.g. SVR, RNN and etc., utilize BG data of multiple patients to train the prediction model. However, all the training data sharing the same parameters may not be able to capture the characteristics of BG fluctuation effectively. Motivated by the fact that different subgroups of diabetic patients possess different BG fluctuation patterns, we propose a new BG prediction approach referred to as Clu-RNN based on recurrent neural networks (RNN) by incorporating a pre-process of clustering into the classical RNN. Numerical results suggest that the proposed Clu-RNN approach utilizes more than one cluster for both type I and type II diabetes and has gained improvements compared with support vector regression (SVR) and other RNN methods in terms of BG prediction accuracy.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117350946","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}
Pub Date : 2019-03-21DOI: 10.1109/ICBCB.2019.8854671
Zhangyong Li, Shangzhi Xiang, Zhaoyu Liu
This paper builds a three-layer electrical impedance imaging (EIT) model. The changes in gastric impedance information in gastric contents and gastric volume of different conductivity were studied in different electrode excitation models. In this paper, the human abdominal cavity model was constructed by using COMSOL MULTIPHYSICS simulation software, and a 48-electrode system was constructed on the outer layer of the model. In the experiment, two models of relative electrode excitation and adjacent electrode excitation were established, and the simulated gastric emptying process was simulated. Secondly, by measuring the voltage and analyzing the data. Finally, the system is evaluated by using the boundary measurement voltage sensitivity δ and the boundary voltage measurement dynamic range Ũ. The analysis shows that the relative electrode excitation model has lower sensitivity and better signal-to-noise ratio for system detection and stability. At the same time, it is proved that more gastric emptying information can be obtained through the three-layer EIT model, which can effectively reflect different relevant impedance information of gastric contents.
{"title":"Establishment and Simulation of 3D Gastric Impedance Detection Model","authors":"Zhangyong Li, Shangzhi Xiang, Zhaoyu Liu","doi":"10.1109/ICBCB.2019.8854671","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854671","url":null,"abstract":"This paper builds a three-layer electrical impedance imaging (EIT) model. The changes in gastric impedance information in gastric contents and gastric volume of different conductivity were studied in different electrode excitation models. In this paper, the human abdominal cavity model was constructed by using COMSOL MULTIPHYSICS simulation software, and a 48-electrode system was constructed on the outer layer of the model. In the experiment, two models of relative electrode excitation and adjacent electrode excitation were established, and the simulated gastric emptying process was simulated. Secondly, by measuring the voltage and analyzing the data. Finally, the system is evaluated by using the boundary measurement voltage sensitivity δ and the boundary voltage measurement dynamic range Ũ. The analysis shows that the relative electrode excitation model has lower sensitivity and better signal-to-noise ratio for system detection and stability. At the same time, it is proved that more gastric emptying information can be obtained through the three-layer EIT model, which can effectively reflect different relevant impedance information of gastric contents.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128453918","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}
Pub Date : 2019-03-01DOI: 10.1109/ICBCB.2019.8854632
Z. Bi, Xueliang Bao, Haipeng Wang, Xiaoying Lv, Zhigong Wang
The voluntary participation of paralyzed patients is crucial for the neuromuscular electrical stimulation (NMES) therapy. In this paper, an NMES technique based on surface electromyogram (sEMG) communication between healthy side and affected side of hemiplegic patients, called gait-oriented EMG bridging (EMGB), is proposed to realize the motion of paralyzed leg under the stimulation of the volitional sEMG signal of healthy leg. The sample entropy algorithm is used to detect the onset and offset of agonist sEMG in the healthy side, which triggers or ends the recording of agonist sEMG. The MAV/NSS co-modulation (MNDC) algorithm is used to modulate a various frequency and pulse width of stimulation according to the recording agonist sEMG. The stimulation is triggered by the onset of antagonistic sEMG in healthy side to stimulate the target affected muscles. A prototype gait-oriented EMGB system was developed for real time control of dorsiflexion and plantarflexion in sitting position. The experimental results indicated that alternate ankle motions can be achieved successfully. The angle trajectory of ankle can be reproduced alternately with a latency within 300 ms and a maximum cross-correlation coefficient > 0.82.
{"title":"Prototype System Design and Experimental Validation of Gait-Oriented EMG Bridge for Volitional Motion Function Rebuilding of Paralyzed Leg","authors":"Z. Bi, Xueliang Bao, Haipeng Wang, Xiaoying Lv, Zhigong Wang","doi":"10.1109/ICBCB.2019.8854632","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854632","url":null,"abstract":"The voluntary participation of paralyzed patients is crucial for the neuromuscular electrical stimulation (NMES) therapy. In this paper, an NMES technique based on surface electromyogram (sEMG) communication between healthy side and affected side of hemiplegic patients, called gait-oriented EMG bridging (EMGB), is proposed to realize the motion of paralyzed leg under the stimulation of the volitional sEMG signal of healthy leg. The sample entropy algorithm is used to detect the onset and offset of agonist sEMG in the healthy side, which triggers or ends the recording of agonist sEMG. The MAV/NSS co-modulation (MNDC) algorithm is used to modulate a various frequency and pulse width of stimulation according to the recording agonist sEMG. The stimulation is triggered by the onset of antagonistic sEMG in healthy side to stimulate the target affected muscles. A prototype gait-oriented EMGB system was developed for real time control of dorsiflexion and plantarflexion in sitting position. The experimental results indicated that alternate ankle motions can be achieved successfully. The angle trajectory of ankle can be reproduced alternately with a latency within 300 ms and a maximum cross-correlation coefficient > 0.82.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129089379","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}
Pub Date : 2019-03-01DOI: 10.1109/ICBCB.2019.8854666
Zhangyong Li, Hui Liu, Mengxi Ju, Fuqu Chen, Xinwei Li
In the diagnosis of medical blood diseases, there are contra-dictions between the clear view and the size of view under the microscope. In order to obtain clear blood cell images under a large view, this paper proposes an image stitching method for multi-view blood microscopy images. The method firstly preprocesses the input image sequence, and then uses the SIFT feature and the local LBP feature to extract the feature points of the image sequence, obtains the matching point pairs according to the threshold method, and then uses the improved RANSAC algorithm to calculate the homography matrix between the images. Finally, the weighted average in image fusion is used to realize the seamless stitching of multiview images. The experimental results show that the improved feature detection algorithm has good performance in the rotary image, blurry image and distorted cell image. The improved RANSAC algorithm effectively improves the computational efficiency of the image, and finally achieves multi-view blood display with high efficiency and seamless stitching of micro images.
{"title":"Study on the Method of Blood Microscopic Multi-field Image Stitching","authors":"Zhangyong Li, Hui Liu, Mengxi Ju, Fuqu Chen, Xinwei Li","doi":"10.1109/ICBCB.2019.8854666","DOIUrl":"https://doi.org/10.1109/ICBCB.2019.8854666","url":null,"abstract":"In the diagnosis of medical blood diseases, there are contra-dictions between the clear view and the size of view under the microscope. In order to obtain clear blood cell images under a large view, this paper proposes an image stitching method for multi-view blood microscopy images. The method firstly preprocesses the input image sequence, and then uses the SIFT feature and the local LBP feature to extract the feature points of the image sequence, obtains the matching point pairs according to the threshold method, and then uses the improved RANSAC algorithm to calculate the homography matrix between the images. Finally, the weighted average in image fusion is used to realize the seamless stitching of multiview images. The experimental results show that the improved feature detection algorithm has good performance in the rotary image, blurry image and distorted cell image. The improved RANSAC algorithm effectively improves the computational efficiency of the image, and finally achieves multi-view blood display with high efficiency and seamless stitching of micro images.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114800206","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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