Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference最新文献
Pub Date : 2016-01-01DOI: 10.1109/EMBC.2016.7590719
M. Dou, X. Tian
Gamma oscillations emerge generally in working memory to aspect of higher cognitive functions, and typically with the interaction of brain network. How is gamma oscillatory activity influenced by the functional connection in the brain'a network? How can gamma oscillations be increased by neural modulation to result in potential benefits for working memory? The present study aims to investigate the intensity of gamma oscillations modulated by low frequency repetitive transcranial magnetic stimulation (rTMS), and the possible brain network mechanism of increased gamma oscillations during working memory task in rats. Adult SD rats were divided into two groups: rTMS group receiving low frequency (1Hz) rTMS for 14 consecutive days and control group.16-channel local field potentials (LFPs) were recorded from rat prefrontal cortex while the rats performed a working memory task on Y-maze. Feature frequency oscillations in LFPs were measured by coherence analysis. Furthermore, the values of Directed transfer function (DTF) among LFPs were calculated to describe the function connection quantitatively in LFP network. The results show that the gamma (30-60Hz) synchronization preceded rat's correct choice in working memory task for the two groups. Coherence peaked before the behavior reference point for the two groups. Meanwhile, DTF value peaked before the behavior reference point for control and rTMS groups respectively. The rTMS modulation resulted in a coordinated increase in both gamma oscillation and strength of connection in the gamma band, which showed a significant difference (P<0.01). These findings suggest that gamma oscillations occur (both energy density and coherence in gamma-band) during working memory, which might be led by functional connection in gamma-band LFP network. Furthermore, gamma oscillation can be stimulated by rTMS, and strength gamma oscillation might be caused by the rTMS-mediated enhanced connection in the network.
{"title":"rTMS-enhanced gamma oscillation through strengthened network connection.","authors":"M. Dou, X. Tian","doi":"10.1109/EMBC.2016.7590719","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7590719","url":null,"abstract":"Gamma oscillations emerge generally in working memory to aspect of higher cognitive functions, and typically with the interaction of brain network. How is gamma oscillatory activity influenced by the functional connection in the brain'a network? How can gamma oscillations be increased by neural modulation to result in potential benefits for working memory? The present study aims to investigate the intensity of gamma oscillations modulated by low frequency repetitive transcranial magnetic stimulation (rTMS), and the possible brain network mechanism of increased gamma oscillations during working memory task in rats. Adult SD rats were divided into two groups: rTMS group receiving low frequency (1Hz) rTMS for 14 consecutive days and control group.16-channel local field potentials (LFPs) were recorded from rat prefrontal cortex while the rats performed a working memory task on Y-maze. Feature frequency oscillations in LFPs were measured by coherence analysis. Furthermore, the values of Directed transfer function (DTF) among LFPs were calculated to describe the function connection quantitatively in LFP network. The results show that the gamma (30-60Hz) synchronization preceded rat's correct choice in working memory task for the two groups. Coherence peaked before the behavior reference point for the two groups. Meanwhile, DTF value peaked before the behavior reference point for control and rTMS groups respectively. The rTMS modulation resulted in a coordinated increase in both gamma oscillation and strength of connection in the gamma band, which showed a significant difference (P<0.01). These findings suggest that gamma oscillations occur (both energy density and coherence in gamma-band) during working memory, which might be led by functional connection in gamma-band LFP network. Furthermore, gamma oscillation can be stimulated by rTMS, and strength gamma oscillation might be caused by the rTMS-mediated enhanced connection in the network.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"38 1","pages":"379-382"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87988212","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591129
Haoyu Tang, Tao Dong
The short tandem repeats (STRs) in human urine which is the most sensitive body fluid can be serviced as biomarkers for the individual identification. PCR microchips are automated, sensitive and rapid. In this report, COMSOL with Finite Element Analysis (FEA) is employed to study the temperature distribution of the base layer to optimize the structure of the microfluidic chip. Meanwhile, the oscillatory PCR microdevice is preliminary tested by DNA samples extracted from urine with the FTA papers and CSF1PO, TPOX, TH01 Multiplex kits. The results show that this method can finish the DNA amplification within 17 minutes for 27 thermal cycling and the annealing as well as denaturing temperature were respectively 60°C and 93 °C.
尿中的短串联重复序列(STRs)是最敏感的体液，可作为个体鉴定的生物标志物。PCR微芯片自动化、灵敏、快速。本报告采用COMSOL结合有限元分析(Finite Element Analysis, FEA)对基底层温度分布进行研究，优化微流控芯片的结构。同时，用FTA纸和CSF1PO、TPOX、TH01 Multiplex试剂盒对从尿液中提取的DNA样本进行振荡PCR微装置的初步检测。结果表明，该方法经过27次热循环，在17分钟内完成DNA扩增，退火温度为60℃，变性温度为93℃。
{"title":"Ultrafast oscillatory-flow PCR for amplication of urine short tandem repeats.","authors":"Haoyu Tang, Tao Dong","doi":"10.1109/EMBC.2016.7591129","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591129","url":null,"abstract":"The short tandem repeats (STRs) in human urine which is the most sensitive body fluid can be serviced as biomarkers for the individual identification. PCR microchips are automated, sensitive and rapid. In this report, COMSOL with Finite Element Analysis (FEA) is employed to study the temperature distribution of the base layer to optimize the structure of the microfluidic chip. Meanwhile, the oscillatory PCR microdevice is preliminary tested by DNA samples extracted from urine with the FTA papers and CSF1PO, TPOX, TH01 Multiplex kits. The results show that this method can finish the DNA amplification within 17 minutes for 27 thermal cycling and the annealing as well as denaturing temperature were respectively 60°C and 93 °C.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"1 1","pages":"2046-2049"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83157633","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591464
Shanxin Zhang
Alternative Polyadenylation (APA) of mRNAs has been proven as a considerable mechanism for post-transcriptional gene regulation. The interplay between Intronic APA and splicing may affect the isoforms of mRNAs. In this paper, we have found four prevalent motifs, i.e. AATAAA, TTTTTTTT, CCAGSCTGG and RGYRYRGTGG surrounding the polyadenylation sites; then we proposed a new computational method to identify the Intronic APA sites in the human genome, which is based on a Support Vector Machine (SVM) with weighted degree string kernel. Compared with other APA events, Intronic APA sites are likely to be with TTTTTTTT pattern. The proposed algorithm can correctly classify 89% of Intronic APA sites from the constitutive polyadenylation sites. In addition, the prediction accuracy of separating the Intronic APA from other types of APA could be up to 88.3%. The prediction results indicate that our computational method is promising for the identification of Intronic APA sites.
{"title":"Prediction method for Intronic alternative polyadenylation sites.","authors":"Shanxin Zhang","doi":"10.1109/EMBC.2016.7591464","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591464","url":null,"abstract":"Alternative Polyadenylation (APA) of mRNAs has been proven as a considerable mechanism for post-transcriptional gene regulation. The interplay between Intronic APA and splicing may affect the isoforms of mRNAs. In this paper, we have found four prevalent motifs, i.e. AATAAA, TTTTTTTT, CCAGSCTGG and RGYRYRGTGG surrounding the polyadenylation sites; then we proposed a new computational method to identify the Intronic APA sites in the human genome, which is based on a Support Vector Machine (SVM) with weighted degree string kernel. Compared with other APA events, Intronic APA sites are likely to be with TTTTTTTT pattern. The proposed algorithm can correctly classify 89% of Intronic APA sites from the constitutive polyadenylation sites. In addition, the prediction accuracy of separating the Intronic APA from other types of APA could be up to 88.3%. The prediction results indicate that our computational method is promising for the identification of Intronic APA sites.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"52 1","pages":"3426-3428"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82275413","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 : 2015-11-05DOI: 10.1109/EMBC.2015.7318418
Sung-Nien Yu, Shu-Feng Chen
The objective of this study is to develop an effective emotion recognition system based on ECG. The proposed emotion recognition system is capable of differentiating four kinds of emotions, namely neutral, happiness, stress, and sadness, based on the heart rate variability (HRV). Ten male subjects were involved in the study. Both visual and auditory stimuli were used to stimulate the emotions. Four categories of HRV features, namely time-domain, frequency-domain, Poincare plot, and differential features, were exploited to characterize the physiological changes during the affective stimuli. The support vector machine (SVM) was employed as the classifier. The genetic algorithm (GA) was exploited as feature selector. Without feature selector, only 52.2% recognition rate was achieved. However, with the GA feature selector, an optimal recognition rate of 90% was achieved. Compared with other user-independent systems published in the literature, the proposed method achieves an accuracy of 90% which is demonstrated to be the most effective for discriminating four kinds of emotions with user-independent design policy.
{"title":"Emotion state identification based on heart rate variability and genetic algorithm.","authors":"Sung-Nien Yu, Shu-Feng Chen","doi":"10.1109/EMBC.2015.7318418","DOIUrl":"https://doi.org/10.1109/EMBC.2015.7318418","url":null,"abstract":"The objective of this study is to develop an effective emotion recognition system based on ECG. The proposed emotion recognition system is capable of differentiating four kinds of emotions, namely neutral, happiness, stress, and sadness, based on the heart rate variability (HRV). Ten male subjects were involved in the study. Both visual and auditory stimuli were used to stimulate the emotions. Four categories of HRV features, namely time-domain, frequency-domain, Poincare plot, and differential features, were exploited to characterize the physiological changes during the affective stimuli. The support vector machine (SVM) was employed as the classifier. The genetic algorithm (GA) was exploited as feature selector. Without feature selector, only 52.2% recognition rate was achieved. However, with the GA feature selector, an optimal recognition rate of 90% was achieved. Compared with other user-independent systems published in the literature, the proposed method achieves an accuracy of 90% which is demonstrated to be the most effective for discriminating four kinds of emotions with user-independent design policy.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"14 1","pages":"538-541"},"PeriodicalIF":0.0,"publicationDate":"2015-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81809832","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 : 2015-08-01DOI: 10.1109/EMBC.2015.7318582
F. J. Munoz Zapata, L. Pulenta, P. Bustamante, E. M. Avila Perona
Measurement of oxygen saturation is a noninvasive monitoring method that has had a major impact on patient care in both emergency and ambulatory situations. It is an important parameter in neonatology field, especially in newborn preterm births, and in anesthetic and surgical procedures.
{"title":"Determining the variability in O(2) saturation measurements in devices of the \"Dr. Guillermo Rawson\" hospital.","authors":"F. J. Munoz Zapata, L. Pulenta, P. Bustamante, E. M. Avila Perona","doi":"10.1109/EMBC.2015.7318582","DOIUrl":"https://doi.org/10.1109/EMBC.2015.7318582","url":null,"abstract":"Measurement of oxygen saturation is a noninvasive monitoring method that has had a major impact on patient care in both emergency and ambulatory situations. It is an important parameter in neonatology field, especially in newborn preterm births, and in anesthetic and surgical procedures.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"126 1","pages":"1203-6"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88118814","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 : 2015-08-01DOI: 10.1109/EMBC.2015.7320287
Shameek Ghosh, Jinyan Li
Pattern mining algorithms have previously been utilized to extract informative rules in various clinical contexts. However, the number of generated patterns are numerous. In most cases, the extracted rules are directly investigated by clinicians for understanding disease diagnoses. The elicitation of important patterns for clinical investigation places a significant demand for precision and interpretability. Hence, it is essential to obtain a set of informative interpretable patterns for building advanced learning models about a patient's physiological condition, specially in critical care units. In this study, a two stage sequential contrast patterns based classification framework is presented, which is used to detect critical patient events like hypotension. In the first stage, we obtain a set of sequential patterns by using a contrast mining algorithm. These sequential patterns undergo post-processing, for conversion to binary valued and frequency based features for developing a classification model, in the second stage. Our results on eight critical care datasets demonstrate better predictive capabilities, when sequential patterns are used as features.
{"title":"Using sequential patterns as features for classification models to make accurate predictions on ICU events.","authors":"Shameek Ghosh, Jinyan Li","doi":"10.1109/EMBC.2015.7320287","DOIUrl":"https://doi.org/10.1109/EMBC.2015.7320287","url":null,"abstract":"Pattern mining algorithms have previously been utilized to extract informative rules in various clinical contexts. However, the number of generated patterns are numerous. In most cases, the extracted rules are directly investigated by clinicians for understanding disease diagnoses. The elicitation of important patterns for clinical investigation places a significant demand for precision and interpretability. Hence, it is essential to obtain a set of informative interpretable patterns for building advanced learning models about a patient's physiological condition, specially in critical care units. In this study, a two stage sequential contrast patterns based classification framework is presented, which is used to detect critical patient events like hypotension. In the first stage, we obtain a set of sequential patterns by using a contrast mining algorithm. These sequential patterns undergo post-processing, for conversion to binary valued and frequency based features for developing a classification model, in the second stage. Our results on eight critical care datasets demonstrate better predictive capabilities, when sequential patterns are used as features.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"8 1","pages":"8157-60"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77772356","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 : 2015-08-01DOI: 10.1109/EMBC.2015.7318640
F. Valero-Cuevas, B. Cohn, M. Szedlák, K. Fukuda, B. Gartner
The brain must select its control strategies among an infinite set of possibilities; researchers believe that it must be solving an optimization problem. While this set of feasible solutions is infinite and lies in high dimensions, it is bounded by kinematic, neuromuscular, and anatomical constraints, within which the brain must select optimal solutions. That is, the set of feasible activations is well structured. However, to date there is no method to describe and quantify the structure of these high-dimensional solution spaces. Bounding boxes or dimensionality reduction algorithms do not capture their detailed structure. We present a novel approach based on the well-known Hit-and-Run algorithm in computational geometry to extract the structure of the feasible activations capable of producing 50% of maximal fingertip force in a specific direction. We use a realistic model of a human index finger with 7 muscles, and 4 DOFs. For a given static force vector at the endpoint, the feasible activation space is a 3D convex polytope, embedded in the 7D unit cube. It is known that explicitly computing the volume of this polytope can become too computationally complex in many instances. However, our algorithm was able to sample 1,000,000 uniform at random points from the feasible activation space. The computed distribution of activation across muscles sheds light onto the structure of these solution spaces-rather than simply exploring their maximal and minimal values. Although this paper presents a 7 dimensional case of the index finger, our methods extend to systems with at least 40 muscles. This will allow our motor control community to understand the distributions of feasible muscle activations, providing important contextual information into learning, optimization and adaptation of motor patterns in future research.
{"title":"Structure of the set of feasible neural commands for complex motor tasks.","authors":"F. Valero-Cuevas, B. Cohn, M. Szedlák, K. Fukuda, B. Gartner","doi":"10.1109/EMBC.2015.7318640","DOIUrl":"https://doi.org/10.1109/EMBC.2015.7318640","url":null,"abstract":"The brain must select its control strategies among an infinite set of possibilities; researchers believe that it must be solving an optimization problem. While this set of feasible solutions is infinite and lies in high dimensions, it is bounded by kinematic, neuromuscular, and anatomical constraints, within which the brain must select optimal solutions. That is, the set of feasible activations is well structured. However, to date there is no method to describe and quantify the structure of these high-dimensional solution spaces. Bounding boxes or dimensionality reduction algorithms do not capture their detailed structure. We present a novel approach based on the well-known Hit-and-Run algorithm in computational geometry to extract the structure of the feasible activations capable of producing 50% of maximal fingertip force in a specific direction. We use a realistic model of a human index finger with 7 muscles, and 4 DOFs. For a given static force vector at the endpoint, the feasible activation space is a 3D convex polytope, embedded in the 7D unit cube. It is known that explicitly computing the volume of this polytope can become too computationally complex in many instances. However, our algorithm was able to sample 1,000,000 uniform at random points from the feasible activation space. The computed distribution of activation across muscles sheds light onto the structure of these solution spaces-rather than simply exploring their maximal and minimal values. Although this paper presents a 7 dimensional case of the index finger, our methods extend to systems with at least 40 muscles. This will allow our motor control community to understand the distributions of feasible muscle activations, providing important contextual information into learning, optimization and adaptation of motor patterns in future research.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"100 1","pages":"1440-3"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74934520","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 : 2015-08-01DOI: 10.1109/EMBC.2015.7319697
S. Haufe, Yu Huang, L. Parra
In electroencephalographic (EEG) source imaging as well as in transcranial current stimulation (TCS), it is common to model the head using either three-shell boundary element (BEM) or more accurate finite element (FEM) volume conductor models. Since building FEMs is computationally demanding and labor intensive, they are often extensively reused as templates even for subjects with mismatching anatomies. BEMs can in principle be used to efficiently build individual volume conductor models; however, the limiting factor for such individualization are the high acquisition costs of structural magnetic resonance images. Here, we build a highly detailed (0.5mm(3) resolution, 6 tissue type segmentation, 231 electrodes) FEM based on the ICBM152 template, a nonlinear average of 152 adult human heads, which we call ICBM-NY. We show that, through more realistic electrical modeling, our model is similarly accurate as individual BEMs. Moreover, through using an unbiased population average, our model is also more accurate than FEMs built from mismatching individual anatomies. Our model is made available in Matlab format.
{"title":"A highly detailed FEM volume conductor model based on the ICBM152 average head template for EEG source imaging and TCS targeting.","authors":"S. Haufe, Yu Huang, L. Parra","doi":"10.1109/EMBC.2015.7319697","DOIUrl":"https://doi.org/10.1109/EMBC.2015.7319697","url":null,"abstract":"In electroencephalographic (EEG) source imaging as well as in transcranial current stimulation (TCS), it is common to model the head using either three-shell boundary element (BEM) or more accurate finite element (FEM) volume conductor models. Since building FEMs is computationally demanding and labor intensive, they are often extensively reused as templates even for subjects with mismatching anatomies. BEMs can in principle be used to efficiently build individual volume conductor models; however, the limiting factor for such individualization are the high acquisition costs of structural magnetic resonance images. Here, we build a highly detailed (0.5mm(3) resolution, 6 tissue type segmentation, 231 electrodes) FEM based on the ICBM152 template, a nonlinear average of 152 adult human heads, which we call ICBM-NY. We show that, through more realistic electrical modeling, our model is similarly accurate as individual BEMs. Moreover, through using an unbiased population average, our model is also more accurate than FEMs built from mismatching individual anatomies. Our model is made available in Matlab format.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"41 1","pages":"5744-7"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79995830","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 : 2015-08-01DOI: 10.1109/EMBC.2015.7319391
Qingjie Wang, S. Kharche, Gareth M. Jones, Cunjin Luo, Chengchun Tang, Henggui Zhang
Bradycardia is found to be a complication during catecholaminergic polymorphic ventricular tachycardia in which calcium leak plays a pivotal role. In this computational study, we determined the effects of sarcoplasmic reticulum calcium leak on the function of sino-atrial node and ventricular model cells.
{"title":"Calcium leak induced arrhythmias in mouse sino-atrial node and ventricle cells: A simulation study.","authors":"Qingjie Wang, S. Kharche, Gareth M. Jones, Cunjin Luo, Chengchun Tang, Henggui Zhang","doi":"10.1109/EMBC.2015.7319391","DOIUrl":"https://doi.org/10.1109/EMBC.2015.7319391","url":null,"abstract":"Bradycardia is found to be a complication during catecholaminergic polymorphic ventricular tachycardia in which calcium leak plays a pivotal role. In this computational study, we determined the effects of sarcoplasmic reticulum calcium leak on the function of sino-atrial node and ventricular model cells.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"34 1","pages":"4487-90"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89080008","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 : 2015-08-01DOI: 10.1109/EMBC.2015.7320300
A. Gerasimenko, L. Ichcitidze, V. Podgaetsky, D. Ryabkin, E. Pyankov, M. Saveliev, S. Selishchev
The laser device for welding of biological tissues has been developed involving quality control and temperature stabilization of weld seam. Laser nanocomposite solder applied onto a wound to be weld has been used. Physicochemical properties of the nanocomposite solder have been elucidated. The nature of the tissue-organizing nanoscaffold has been analyzed at the site of biotissue welding.
{"title":"Development of technique for laser welding of biological tissues using laser welding device and nanocomposite solder.","authors":"A. Gerasimenko, L. Ichcitidze, V. Podgaetsky, D. Ryabkin, E. Pyankov, M. Saveliev, S. Selishchev","doi":"10.1109/EMBC.2015.7320300","DOIUrl":"https://doi.org/10.1109/EMBC.2015.7320300","url":null,"abstract":"The laser device for welding of biological tissues has been developed involving quality control and temperature stabilization of weld seam. Laser nanocomposite solder applied onto a wound to be weld has been used. Physicochemical properties of the nanocomposite solder have been elucidated. The nature of the tissue-organizing nanoscaffold has been analyzed at the site of biotissue welding.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"57 1","pages":"8209-12"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80311115","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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