Christina Orphanidou, T. Bonnici, D. Vallance, Alexander Darrell, P. Charlton, L. Tarassenko
{"title":"A method for assessing the reliability of heart rates obtained from ambulatory ECG","authors":"Christina Orphanidou, T. Bonnici, D. Vallance, Alexander Darrell, P. Charlton, L. Tarassenko","doi":"10.1109/BIBE.2012.6399672","DOIUrl":"https://doi.org/10.1109/BIBE.2012.6399672","url":null,"abstract":"In this paper we present a method of assessing the reliability of heart rates (HRs) obtained from ambulatory ECGs. Our method assigns a Reliability Index (RI) to ECG segments based on a set of physiologically relevant rules prior to using a template matching approach. We validated the algorithm on 1500 manually annotated samples of ECG taken from two different studies and using three different sensors at different sampling rates. The sensitivity of our method was 98% and the specificity was 94%. Our method matched or was more conservative than the human annotations in 99.4% of the samples, making it a promising tool for inclusion in next-generation wearable sensors.","PeriodicalId":330164,"journal":{"name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130051361","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}
C. Frantzidis, A. Ladas, Maria D. Diamantoudi, A. Semertzidou, E. Grigoriadou, A. Tsolaki, Despoina Liapi, Anatoli Papadopoulou, F. Kounti, A. Vivas, M. Tsolaki, C. Pappas, P. Bamidis
{"title":"What are the symbols of Alzheimer? A permutation entropy based symbolic analysis for the detection of early changes of the electroencephalographic complexity due to mild Alzheimer","authors":"C. Frantzidis, A. Ladas, Maria D. Diamantoudi, A. Semertzidou, E. Grigoriadou, A. Tsolaki, Despoina Liapi, Anatoli Papadopoulou, F. Kounti, A. Vivas, M. Tsolaki, C. Pappas, P. Bamidis","doi":"10.1109/BIBE.2012.6399689","DOIUrl":"https://doi.org/10.1109/BIBE.2012.6399689","url":null,"abstract":"Alzheimer's disease (AD) is the most common type of dementia, greatly affecting cognitive functioning and independent living of elderly population. The lack of an available drug therapy that could prevent disease progression shifted the research interest towards the early detection of the neurodegeneration symptoms that affect the mature brain and impair the interaction between brain regions, thus partially causing functional disconnection. The notion of electroencephalographic complexity is a valid and reliable method of quantifying the degree of isolation of brain regions due to AD pathology. Recently permutation entropy, which is a methodology of transforming the signal data into symbolic sequences and then computing the frequency distribution of symbolic patterns, gained great attention and was applied in seizure detection and computation of consciousness. The current study aims to investigate whether this complexity marker would be suitable to be applied in dementia research towards the quantification of the degree of cognitive deterioration due to disconnection of brain regions. The promising results indicate that permutation entropy on posterior regions (parieto-occipital areas) abnormally increases during mild dementia and is negatively correlated with the level of cognitive dysfunction, as estimated by the Mini Mental State Examination. Therefore, it may be a fast, accurate and simple tool for screening elderly population prone in Alzheimer.","PeriodicalId":330164,"journal":{"name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758204","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}
{"title":"Model-based control of tumor progression","authors":"M. Hadjiandreou, G. Mitsis","doi":"10.1109/BIBE.2012.6399772","DOIUrl":"https://doi.org/10.1109/BIBE.2012.6399772","url":null,"abstract":"This paper presents our work on the application of mathematical modeling and optimal control techniques in the modeling of tumor progression and optimal treatment planning. We present a pharmacokinetic-pharmacodynamic approach to the modeling of tumor progression in mice. Specifically, we describe colon cancer progression in both untreated mice as well as mice treated with anti-cancer agents. We also a present pharmacokinetic model to describe the drug kinetics in the body as well as toxicity models to describe the severity of side-effects. Lastly, we propose a promising methodology by which cancer progression in mice with drug-resistance can be controlled. By using optimal control, we demonstrate that the optimal planning of the frequency and magnitude of treatment breaks is key to cancer control in subjects with resistance and should be further investigated in an experimental setting, which is currently underway.","PeriodicalId":330164,"journal":{"name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127530750","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}
{"title":"Relating postural synergies to low-D muscular activations: Towards bio-inspired control of robotic hands","authors":"P. Katsiaris, P. Artemiadis, K. Kyriakopoulos","doi":"10.1109/BIBE.2012.6399682","DOIUrl":"https://doi.org/10.1109/BIBE.2012.6399682","url":null,"abstract":"Studying human motor control has received increased attention during the past decades. Both the design and control of robotic artifacts may benefit from observation of human behavior. In this paper a novel method for capturing the dynamic behavior of the human hand is presented. The low dimensional kinematics of the human hand, including the wrist, and the low dimensional representation of the muscular activations were correlated through a linear time invariant (LTI) state space model. A linear output regulation controller was used in order to drive a simulated hand and the resulting trajectories were compared with the experimentally captured trajectories.","PeriodicalId":330164,"journal":{"name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116349066","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}
Manolis Christodoulakis, M. Anastasiadou, S. Papacostas, E. Papathanasiou, G. Mitsis
{"title":"Investigation of network brain dynamics from EEG measurements in patients with epilepsy using graph-theoretic approaches","authors":"Manolis Christodoulakis, M. Anastasiadou, S. Papacostas, E. Papathanasiou, G. Mitsis","doi":"10.1109/BIBE.2012.6399693","DOIUrl":"https://doi.org/10.1109/BIBE.2012.6399693","url":null,"abstract":"`Small-world' neuronal networks are characterized by strong clustering in combination with short path length, and assist the progress of synchronization and conceivably seizure procreation. In this article we aim to investigate if the brain networks display `small-world' features during seizures, by using graph-theoretic measures as well as scalp EEG recordings from patients with focal and generalized epilepsy. Specifically, we used linear cross-correlation to characterize patterns between nodes in scalp EEG recordings of 5 patients for 3 periods of interest: before, during and after seizure onset. For each period we reconstruct graphs from the linear cross-correlation calculations and use different network measures to characterize the graphs such as clustering coefficient, characteristic path length, betweenness centrality and network small-world-ness. In three (out of five) patients, our results suggest that shortly after seizure onset and in the early postictal period the brain network changes towards a more small-world structure, in agreement with earlier graph-theoretic based results related to epilepsy. However, for one patient the opposite was observed: small-worldness decreased after seizure onset. Finally, for one patient we could observe no differences in the network properties before and after the onset. These preliminary results suggest the potential use of graph-theoretic measures to quantify brain dynamics before and during seizures after further refinements.","PeriodicalId":330164,"journal":{"name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121682305","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}
A. Bucur, J. V. Leeuwen, D. Pérez-Rey, R. Alonso-Calvo, B. Claerhout, Kristof de Schepper
{"title":"Identifying the semantics of eligibility criteria of clinical trials based on relevant medical ontologies","authors":"A. Bucur, J. V. Leeuwen, D. Pérez-Rey, R. Alonso-Calvo, B. Claerhout, Kristof de Schepper","doi":"10.1109/BIBE.2012.6399762","DOIUrl":"https://doi.org/10.1109/BIBE.2012.6399762","url":null,"abstract":"An important objective of the INTEGRATE project1 is to build tools that support the efficient execution of post-genomic multi-centric clinical trials in breast cancer, which includes the automatic assessment of the eligibility of patients for available trials. The population suited to be enrolled in a trial is described by a set of free-text eligibility criteria that are both syntactically and semantically complex. At the same time, the assessment of the eligibility of a patient for a trial requires the (machine-processable) understanding of the semantics of the eligibility criteria in order to further evaluate if the patient data available for example in the hospital EHR satisfies these criteria. This paper presents an analysis of the semantics of the clinical trial eligibility criteria based on relevant medical ontologies in the clinical research domain: SNOMED-CT, LOINC, MedDRA. We detect subsets of these widely-adopted ontologies that characterize the semantics of the eligibility criteria of trials in various clinical domains and compare these sets. Next, we evaluate the occurrence frequency of the concepts in the concrete case of breast cancer (which is our first application domain) in order to provide meaningful priorities for the task of binding/mapping these ontology concepts to the actual patient data. We further assess the effort required to extend our approach to new domains in terms of additional semantic mappings that need to be developed.","PeriodicalId":330164,"journal":{"name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126292518","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}
{"title":"A technical infrastructure to support personalized medicine","authors":"M. Tsiknakis, S. Sfakianakis, K. Marias, N. Graf","doi":"10.1109/BIBE.2012.6399763","DOIUrl":"https://doi.org/10.1109/BIBE.2012.6399763","url":null,"abstract":"The ongoing need of IT support for advancing personalized medicine has led to a plethora of needs for developing new computational algorithms, informatics resource management infrastructures and tools for extracting patient specific clinico-genomic information, and more recently, predicting and optimizing the therapeutic outcome for the individual patient within the EC VPH initiative. This has led to an unprecedented explosion in proposed tools and models for personalized medicine which in turn need specific frameworks for categorizing, querying and accessing such resources in an interoperable and standardized fashion. The proposed personalized medicine workbench is part of the EC funded p-medicine project and aims to create a semantically annotated repository of tools specific to the advancement of personalized medicine by addressing the project's clinical scenarios. Central to this development is the inclusion of a wide range of tools for personalized medicine encompassing biostatistics, bioinformatics, multi-scale predictive modeling and image analysis clinical applications.","PeriodicalId":330164,"journal":{"name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125804173","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}
M. Milis, K. Michaelides, A. Kounoudes, G. Ansaloni, David Atienza Alonso, Frédéric Giroud, Pierre-François Ruedi, F. Masson
{"title":"IcyHeart: Highly integrated ultra-low-power SoC solution for unobtrusive and energy efficient wireless cardiac monitoring: Research project for the benefit of specific groups (FP7, Capacities)","authors":"M. Milis, K. Michaelides, A. Kounoudes, G. Ansaloni, David Atienza Alonso, Frédéric Giroud, Pierre-François Ruedi, F. Masson","doi":"10.1109/BIBE.2012.6399716","DOIUrl":"https://doi.org/10.1109/BIBE.2012.6399716","url":null,"abstract":"The objective of the IcyHeart project is to investigate and demonstrate a highly integrated and power-efficient microelectronic solution for remote monitoring of a subject's electrocardiogram (ECG) signals. A complete System-on-a-Chip (SoC) is being developed that embarks on a single chip an ultra-low-power signal acquisition front-end with analogue-to-digital converter (ADC) for ECG, a low-power digital signal processor (DSP) and a low-energy radio frequency (RF) transceiver. These features, for the first time, coexist on a single die. Energy efficient signal processing algorithms targeting ECG, and expandable to other bio-signals, are embedded and run on the on-chip DSP. The final IcyHeart product will consist of a tiny PCB embarking IcyHeart SoC and all the necessary discrete components and powering circuit. The outcome of the project is expected to generate high market value for the European SMEs developing novel cardio-monitoring products in home and professional environments, and to create high societal impact for several categories of European citizens requiring miniature, comfortable and easy-to-use wireless tele-healthcare solutions.","PeriodicalId":330164,"journal":{"name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128389160","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}
{"title":"Clustering subjects in genetic studies with Self Organizing Maps","authors":"Aristos Aristodimou, A. Antoniades, C. Pattichis","doi":"10.1109/BIBE.2012.6399731","DOIUrl":"https://doi.org/10.1109/BIBE.2012.6399731","url":null,"abstract":"Several machine learning techniques have been applied for finding multi-loci associations among Single Nucleotide Polymorphisms (SNPs) and a disease. In this paper it is investigated whether Self Organizing Maps (SOMs) can generate clusters associated with a disease based on the genetic patterns of subjects. A batch categorical SOM that can handle missing data was used on Genome Wide Association (GWA) data on Multiple Sclerosis (MS). The association of the clusters generated with the disease were initially tested using the Pearson's chi square test and then the weights of the top clusters were used for investigating for SNP patterns. The results of the analyses reveal statistically significant associations between the generated clusters and the disease, indicating that SOMs can be used for multi-loci associations.","PeriodicalId":330164,"journal":{"name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128459275","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}
Haswanee D. Goodur, Vyasanand Ramtohul, S. Baichoo
{"title":"GIDT — A tool for the identification and visualization of genomic islands in prokaryotic organisms","authors":"Haswanee D. Goodur, Vyasanand Ramtohul, S. Baichoo","doi":"10.1109/BIBE.2012.6399707","DOIUrl":"https://doi.org/10.1109/BIBE.2012.6399707","url":null,"abstract":"For decades, it has been a challenge for biologists to identify genomic islands (GIs) within a bacterial genome as they usually rapidly evolve. The purpose of this research is to develop an application which will analyse DNA sequences, enabling researchers to be up-to-date with bacterial evolution. A Java-based GI detection tool, “Genomic Islands Detection Tool (GIDT)\" is introduced to detect GI regions by using a number of nucleotide-based statistical methods and genic methods (including GC-content variation, codon usage bias, dinucleotide frequency bias, tetranucleotide frequency bias, and k-mer signature analysis) and identification of mobility genes. It takes as input genome files in embl/genbank - file formats and returns probable GI regions in a tree-view display along with a circular-view display. GIDT is a simple tool which uses six GI identification algorithms and visually displays probable GI regions in a given genome. It runs on Microsoft windows, MacOS and Linux.","PeriodicalId":330164,"journal":{"name":"2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132510590","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}