Abstract:
This Workshop will bring together experts on the subject of "Multi-Scale Modeling in the Nervous System", which is attracting increasing attention worldwide because of its fundamental importance in understanding the hierarchical functional organization of the nervous system. This scientific discovery process has been accelerated by the recent availability of data from multi-electrode recordings and newly developed methodologies for the analysis/modeling of such data. Vast amounts of data are also currently accumulating from numerous molecular and behavioral/psychophysical studies of the nervous system conducted worldwide. Multi-electrode arrays are now chronically implanted in various parts of the brain by several research groups and provide a wealth of electrophysiological data previously unavailable. This has given impetus for the development of effective methodologies for the analysis of these vast databases in a manner that leads to increased scientific understanding of brain function at the multi-cellular level without simplifying the inherent complexity of the problem. Additional advances in data-collection techniques of molecular studies of neuronal function provide data and knowledge for a lower, finer-grain, "scale" in the hierarchical organization of the nervous system. Finally, advances at the behavioral/psychophysical level provide growing amounts of data and knowledge for a higher, coarser-grain, "scale" in the hierarchical organization of the nervous system. Obviously, the integration of these three levels of neural functional organization is a formidable task that is likely to occupy the rest of this century. However, the foundations of this effort are being laid at the present time and this Workshop aspires to contribute to this process.

The Workshop speakers will be asked to address the relations between at least two of these three levels and present their summary thoughts that pertain to the fundamental issues of multi-scale modeling of the nervous system (neuronal interconnectivity, emerging properties of neuronal ensembles etc.).

List of Speakers and Titles of Presentations:

1. Theodore W. Berger (University of Southern California): Modeling of the Hippocampus
2. Kwabena Boahen (Stanford University): Large-Scale Neuromorphic Systems Simulation
3. Sam A. Deadwyler (Wake-Forest University): From Neural Ensemble Activity to Behavior
4. Mounya Elhilali (Johns Hopkins University): Multi-Scale Modeling of the Human Auditory System
5. Steven Fox (SUNY, New York): Modeling of the Theta Rhythm in the Hippocampus
6. Jack Gallant (University of California, Berkeley): Multi-Scale Modeling of the Human Visual System
7. Bill Lytton (SUNY Downstate Medical Center): Multi-Scale Modeling in the Brain: Embedding Strategies
8. Vasilis Z. Marmarelis (University of Southern California): Multi-Scale Neural Modeling
9. Mayank R. Mehta (University of California, Los Angeles): Multi-Scale Modeling and Representation of Neural Rhythms
10. Christoph E. Schreiner (University of California, San Francisco): Multi-Scale Modeling of the Auditory Cortex
11. James Schwaber (Jefferson University): Multi-Scale Modeling of the Autonomic Nervous System
12. Terry Sejnowski (Salk Institute): Multi-Scale Modeling in the Cerebral Cortex

Abstract:
EEGLAB is a now very widely used, interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of single-trial and averaged data. EEGLAB provides an interactive graphic user interface (GUI) allowing users to flexibly and interactively process their high-density EEG and other dynamic brain data using, in particular, independent component analysis (ICA) and/or time/frequency analysis and other methods. EEGLAB incorporates extensive tutorial and function help material, plus a command history function that eases users' transition from GUI-based data exploration to building and running batch or custom Matlab analysis scripts. EEGLAB offers a wealth of methods for visualizing and modeling event-related brain dynamics, both at the level of individual EEGLAB 'datasets' and/or across a collection of datasets brought together in an EEGLAB 'studyset.' For experienced Matlab users, EEGLAB offers a structured programming environment for storing, accessing, measuring, manipulating and visualizing event-related EEG data. For programmers and methods developers, EEGLAB offers an extensible, open-source platform through which they can share new methods with the world research community by publishing EEGLAB 'plug-in' functions that appear automatically in the EEGLAB menu of users who download them. In this workshop, we will review the EEGLAB structure for computer-competent users, and will then describe in more detail a set of advanced EEG data collection and processing tools recently developed and released at the Swartz Center for Computational Neuroscience (SCCN), UCSD, that connect to and extend the EEGLAB software environment. Together, these demonstrate that electrophysiological data analysis should now be regarded and applied as a human cortical functional brain imaging modality with near ms-scale time resolution and cm-scale spatial resolution.

List of Speakers and Titles of Presentations:

1. Scott Makeig (University of California, San Diego): Ongoing Advances in Electrophysiological Brain Imaging
2. Arno Delorme (University of California, San Diego): Using the Three-Level Architecture of EEGLAB
3. Jason Palmer (University of California, San Diego): Independent Component Analysis (ICA) and Adaptive Multiple Mixture ICA (AMICA): Theory, Methods and Applications
4. Zeynep Akalin Acar (University of California, San Diego): Solving the EEG Forward Problem: A Neuroelectromagnetic Forward Head Modeling Toolbox (NFT) and Inverse Source Estimation Toolbox
5. Nima Bigdely-Shamlo (University of California, San Diego): A Measure Projection Toolbox (MPT) for Comparing EEG Dynamics across Subjects and Sessions
6. Tim Mullen (University of California, San Diego): A Source Information Flow Toolbox (SIFT) for Analysis of Oscillatory Dynamics of Effective Connectivity
7. Christian Kothe (University of California, San Diego): BCILAB: A Comprehensive Statistical Machine Learning and Brain-Computer Interface Toolbox

Abstract:
Optical coherence tomography (OCT) is a low-coherence interferometer-based noninvasive non-contact medical imaging modality that can provide high-resolution cross sectional images of biological tissues. OCT is one of the most active research fields in biomedical optical imaging. Since it was first invented in 1991 OCT has been becoming the new standard for in vivo non-invasive ophthalmic imaging and has been widely used for diagnosis and treatment monitoring of various ocular diseases like age-related macular degeneration, diabetic retinopathy, and glaucoma. By utilizing the rich contrasts provided by the light field, OCT has also branched into several exciting new imaging areas for structural and functional imaging. By using the Doppler effect OCT is able to image the retinal blood flow at an unprecedented level. By using the polarization effect polarization-sensitive OCT is able to reveal the specific features of the retinal nerve fiber layer (RNFL) and the layer of the retinal pigment epithelium (RPE). OCT can also be integrated into multimodal imaging system for the comprehensive diagnosis of retinal diseases. Using OCT to guide ophthalmic surgery in the operation room is another new exciting application of the technology. The workshop will bring experts of all these exciting areas of OCT to give us a review of the current status and perspectives of the different branches of the technology and their applications.

List of Speakers and Titles of Presentations:

1. Joseph A. Izatt (Duke University): OCT Guidance of Ophthalmic Surgery and OCT Image Processing
2. Christoph K. Hitzenberger (Medical University of Vienna): Polarization-sensitive OCT Imaging of the Eye
3. Ruikang K Wang (University of Washington): OCT Imaging of Retinal Blood Flow
4. Srinivas R. Sadda (University of Southern California): OCT Imaging of Retinal Diseases
5. Shuliang Jiao (University of Southern California): Multimodal Imaging of the Eye

Abstract:
The goal of this tutorial is to introduce participants to a suite of software tools for image-based modeling, simulation, and visualization developed by the NIH/NCRR Center for Integrative Biomedical Computing (CIBC). This portable flexible collection of interactive tools was designed in particular to support the development of subject specific, image based geometric models for simulation of bioelectric fields, but suite as well as its individual components have been applied to a wider set of problems. The tools in the suite are: ImageVis3D, for visualization of large scale data; Seg3D, for general purpose user-guided image segmentation; BioMesh3D, a set of utilities for creating surface and volume meshes from segmented image data; map3d, for visualization of surface based maps from multichannel time signals; and SCIRun, a comprehensive problem solving environment that integrates many of the capabilities of an entire image based modeling pipeline.

The tutorial will be a mix of didactic presentations on the component steps of image based modeling, simulation, and visualization; hands on practice with the software, and cases studies on real world applications.

We will provide participants with the software and test data sets and encourage participants to bring their laptop computers ,and if relevant their own data as well. CIBC staff and developers will be on hand to help participants learn the programs, port their data, and generate useful results. We especially encourage participation by students, post docs, and technical users and software developers.

List of Speakers and Titles of Presentations:

1. Dana Brooks (Northeastern University ): Strategies for Effective Image Segmentation and Seg3D
2. Jess Tate and Darrell Swenson (University of Utah): Seg3D Demo and Tutorial.
3. Tom Fogal (Saarland University): Visualization of Large Scale Image Data and ImageVis3D
4. Tom Fogal (Saarland University): ImageVis3D Demo and Tutorial
5. Rob MacLeod (University of Utah): Case Study: Image Based Analysis of Patients with Atrial Fibrillation
6. Darrell Swenson (University of Utah): Mesh Generation Methods and BioMesh3D
7. Darrell Swenson & Brett Burton (University of Utah): BioMesh3D Demo and Tutorial
8. Dana Brooks& Moritz Dannhauer (Northeastern University): Integration Problem Solving Environments and SCIRun

For more information, visit http://www.sci.utah.edu/cibcwksp2012-home.html.

Abstract:
Biomedical and health informatics is the interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision making, motivated by efforts to improve human health. Biomedical informatics builds on computing, communication, and information sciences and technologies and their application in biomedicine.

Health Informatics is one of 14 Grand Challenges posted by National Academy of Engineering.

The purpose of this 1/2-day workshop is to highlight recent accomplishments in biomedical and health informatics through a series of scientific presentations by leading researchers, and to discuss the current and future directions of this fast growing research field.

List of Speakers:

1. Lucila Ohno-Machado (University of California, San Diego)
2. Daniel L. Rubin (Stanford University)
3. Stephen T.C. Wong (Methodist Hospital Research Institute, Weill Cornell Medical College, Cornell University):
4. May D. Wang (Georgia Institute of Technology)
5. Mia K. Markey (University of Texas at Austin & Andersen Cancer Center)
6. Robert A. Greenes (Arizona State University)

Click HERE for more information.

Abstract:
Even with tremendous advances in the understanding of the mechanisms and the pharmacological treatments, there remains many millions of patients with incurable cardiovascular diseases. Chronic heart failure, one of such examples and the most end-stage diseases, continues to be a major medical, social and economical burden worldwide. There obviously need for more options for prolonging and improving life. Recent limitations in the development of newer drugs have motivated to develop devices for the treatment of such diseases. The most promising fields include modification of autonomic balance using implantable devices and ablation techniques, and artificial hearts capable of assisting the pump function and even being used as a destination therapy. It is impossible to exaggerate to say that only with BME the novel treatment would be possible and the clinical cardiology in the 21st century would be revolutionized. In this Workshop, we aimed at inspiring young scientists and engineers to engage themselves in developments of such world-saving devices, by having them know correctly the current clinical practice and the strong impact of these recent advancements in the near future.

This is a Workshop organized by Technical Committee on Cardiopulmonary Engineering.

List of Speakers and Titles of Presentations:

1. Kenji Sunagawa (Kyushu University): Overview of the Current Therapeutic Strategy for Cardiovascular Diseases
2. Tetsuya Horai (Columbia University): The State-of-the-Art Artificial Hearts: What Can and Cannot be Done by the Latest Artificial Heart
3. Neil C. Barman (Consultant for Medtronic): Renal denervation has decisive impacts in lowering blood pressure in patients with resistant hypertension (tentative title)
4. Dimitrios Georgakopoulo (CVRx Inc.): Impact of Device Based Suppression of the Sympathetic System on the Cardiovascular Disorders
5. André Diedrich (Vanderbilt University): Smart Technologies for Patients with Autonomic Dysfunction
6. Masaru Sugimachi (National Cerebral and Cardiovascular Center, Japan): Vagal Modulation Saves Many Lives in Patients with Heart Failure and Cardiac Ischemia

Abstract:
Brain-machine interfaces (BMI), or brain-computer interfaces (BCI), extend the capacity of the human brain in directly communicating and interacting with the environment. BMI/BCI research has traditionally focused on harnessing this capability for applications of neural prostheses in restoring communication and mobility of the motor impaired. A larger range of clinical applications are now emerging that extend the BMI/BCI and neural prostheses paradigms to brain-machine-body interfaces, harnessing benefits of neuromodulation and sensory feedback in interfacing across the central and peripheral nervous systems, facilitating closed-loop and minimally-invasive remediation of neurological and motor disorders, and more generally encompassing mind-body in health and wellbeing.

This 3rd workshop in a series co-sponsored by the IEEE EMB, CAS, and SMC Societies highlights advances in brain-machine-body interface technology and its myriad applications promoting health and wellness that result from synergies between scientists, engineers, and clinical practitioners in this rapidly emerging field. Held on Monday August 27, 2012 in conjunction with EMBC'12, the workshop combines invited lectures by leading experts with an exciting and highly interactive program of solicited contributions. A limited number of student and postdoctoral fellow travel grants will be provided, and best poster and demonstration awards will be conferred at the workshop.

For more information, visit http://embc2012.embs.org/program/bmbi.

Abstract:
Human motor control is impaired in a wide variety of neurologic disorders, from Lou Gehrig's (ALS) to Parkinson's disease. Despite intensive efforts in basic and clinical research, treatments remain incomplete and mostly symptomatic. Initiatives in biomedical engineering are opening two major new avenues to dramatically improve the options available to these patients. First, brain machine interfaces (BMI) are increasingly incorporating closed-loop and learning mechanisms. These advances promise to endow the systems with richer functionality and greater adaptability to the individual patient. Second, our mechanistic understanding of how the brain controls the motor apparatus is at the cusp of rapid advances. Mobile brain imaging, virtual reality, biologically realistic models of the brain's motor control circuits, and neuromorphic implementations of those models are providing new means of measuring and modeling dynamics of the large scale brain networks involved in motor control. Importantly, advances in these two enterprises are synergistic: BMIs are informing our knowledge of the brain dynamics of volitional motor control, and basic research on the brain dynamics of motor control provides clues about how to optimize BMIs. In this workshop, participants will receive 1) background on the brain systems involved in motor control and the technologies used to interface with and investigate them, 2) current trends in BMIs and basic research into large-scale brain dynamics involved in human motor control, 3) discussion of anticipated future developments in these areas of research, and 4) current and future clinical implications. Talks will assume no prior knowledge of the biology, technology, and clinical conditions, but will also include substantial advanced material for experts in the field. Talks will be interleaved with generous time for interactive discussions.

List of Speakers and Titles of Presentations:

1. Jose Carmena (University of California, Berkeley): Corticostriatal Plasticity is Necessary for Learning Intentional Neuroprosthetic Skills
2. Gert Cauwenberghs (University of California, San Diego): Large-Scale Neuromorphic Silicon Models of Cortical Sensorimotor Systems
3. Todd Coleman (University of California, San Diego): Dynamics of Information Transfer in the Motor Cortex during Reaching Task
4. Eberhard Fetz (University of Washington): Bidirectional Interactions between the Brain and Implantable Computers
5. Scott Makeig (University of California, San Diego): Mobile Brain/Body Imaging
6. David Peterson (University of California, San Diego): Dynamic Hierarchies in Nested Loops of the Basal Ganglia
7. Howard Poizner (University of California, San Diego): New Strategies for Studying Complex Human Behavior in Health and Disease
8. Terry Sejnowski (Salk Institute): A New Power Law for Curved Arm Movements

Abstract:
A Brain-Computer Interface (BCI) can be realized with EEG, ECoG or spike activity recorded from the brain. BCI research is one of the most fascinating fields in neuroscience. Mental tasks or focused attention lead to changes in the brain's activity patterns which can be measured, analyzed and classified. The transformation of these changes into a control signal allows to communicate or to control external devices just by thinking - an amazing technology with the potential to help patients who are about to lose any other way to interact with their environment. Moreover state-of-the-are research uses signals from the human motor cortex to reconstruct movement trajectories of limbs or brain mapping is performed for surgical preparation in clinical settings.

This workshop informs about the major methodological approaches, technical issues, application examples, opportunities and limitations, current trends in BCI research and much more.

Intended audience: This workshop is intended for people interested in learning the new skill of BCI communication and for people who are interested in combining BCI technology into their field of expertise. The workshop contains material about human computer interaction, biosignal analysis in off-line and real-time mode, rehabilitation, biomedical and electrical engineering, computer science and Virtual Reality.

List of Speakers:

1. Robert Prueckl (g.tec Guger Technologies OG)
2. Deniz Erdogmus (Department of ECE, Northeastern University)
3. Nicholas Anderson, (Cortech Solutions, Inc.)

Abstract:
Advances in genomics and proteomics are bringing about increasing capabilities to predict and prevent cellular dysfunctions and disease making it possible to identify individualized health features and disease likelihood.

This workshop focuses on tools and devices by which such advances are being achieved, on possible application in the pharmaceutics industry and on related future prospects. Some examples are given below.

Microfluidic devices achieved high throughput measurements detecting genetic mutation, infectious agents, post-translational modification, protein-DNA, protein -protein and protein ligand interactions.

Nanoparticle based tools allow improved diagnosis and personalized treatment of many complex diseases.

Semiconductor quantum dots allow for high throughput quantitative analysis of multiple biomarkers in cells and tissue. Nanofabricated layer by layer self-assembly sensors and carriers, based on polyelectrolyte assemblies embedding specific ligands allow for specific sensing and targeted drug delivery and controlled release.

Computer based analysis of quantitative structure activity relationship and docking plays a complementary role providing software tools for drug design.

Moreover, nano and micro robotics tools such as optical tweezers and micro fluidic chips can be used for the analysis and characterization of cell and viruses.

List of Speakers and Titles of Presentations:

1. Carmelina Ruggiero (University of Genova): Drug Delivery, Drug Design and Personalized Medicine
2. Mike McShane (Texas A&M University): Sensing and Possibly Drug Delivery and Personalized Medicine
3. Jay Nadeau (McGill University): Quantum Dots and Personalized Medicine
4. Hisataka Maruyama (Nagoya University): Micro and Nanorobotic for Biology and Medicine
5. Sheldon Moberg (Amgen): Nano Biotechnology Applications in Pharmaceutics Industries

Abstract:
Minimally invasive approaches to neurosurgery have so far been limited by the lack of suitable instrumentation. The minimally invasive approach increases the challenges of a surgical procedure in terms of safety and accuracy. The rigid endoscopic tools that have seen use in the brain so far severely limit the surgeon's options in planning the necessary access for a procedure. The lack of versatility of existing instrumentation has motivated numerous efforts to develop flexible or non-rigid robotic systems that have the potential to simultaneously improve ease of use, accuracy of manipulation, and capability to conform access trajectories to the geometry of the brain, thus maximizing the safety of brain access.

Several research groups worldwide have published research toward flexible robotics for neurosurgery, but these efforts are widely scattered geographically, and to date there has been no single event to gather researchers from these groups for cross-pollination of research ideas. In this workshop, leading researchers in flexible neurosurgical robotics will present their latest results. In addition, there will be clinical presentations from practicing neurosurgeons, describing the need for such systems, the challenges with which they are faced, and their future potential.

List of Speakers and Titles of Presentations:

1. Jaydev P. Desai (University of Maryland): Progress towards the Development of a MRI-Compatible Minimally Invasive Neurosurgical Intracranial Robot (MINIR)
2. Pierre E. Dupont (Harvard Medical School): Minimizing Collateral Damage in Neurosurgery Using Continuum Robots
3. Gabor Kosa (Tel Aviv University): Swimming Microrobot and Flexible Actuator for Neurosurgery
4. Francis M. Creighton IV (Pulse Therapeutics, Inc.): Flexible Magnetic Neurosurgery: Commercial and Clinical Lessons from the Stereotaxis Experience
5. Michael Y. Oh (Allegheny General Hospital): Neurosurgical Robots: What's Gone Wrong So Far
6. Johnathan A. Engh, M.D. (University of Pittsburgh): Clinical Challenges and Potential Applications of Flexible Neurosurgical Robotics
7. Ferdinando Rodriguez y Baena (Imperial College, University of London): Advances in Keyhole Neurosurgery with a Steerable Probe Inspired by Nature
8. Cameron N. Riviere (Carnegie-Mellon University): Steering of Flexible Needles via Duty-Cycled Rotation for Neurosurgery

Abstract:
Products, processes, and services exist solely because their uses by humans have real or perceived value (utilitarian or esthetic). This is the fundamental justification and rationale for human-centered development, which provides the greatest long-term return-on-investment and lowest "total cost of ownership".

Systems Engineering (SE) is a structured, systematic approach to the conceptualization, design, development, deployment, and replacement of products, processes, and services. Classical SE, in existence since the early 1900s, is one of the oldest agile methods. We will discuss the fundamental state space, lifecycle, technical, and management activities, in the context of micro-ergonomics (tools for individuals) and macro-ergonomics (tools for organizations).

Quality is about identifying and satisficing ALL the stakeholders' evolving and frequently conflicting needs, wants, and desires (NWDs). Requirements (design inputs) are a subset of NWDs selected for fulfillment. Modern human factors engineering can contribute at all levels of SE. The concept of human-centered system complexity (from physical and behavioral to social and cultural considerations) will be presented, followed by a detailed discussion of the relevant metrology.

Human-centered SE presents a rather large set of factors for experimental verification and validation studies. Experimental design approaches, historically used by engineers, are very inefficient given large numbers of factors. We will discuss the fundamental principles of experimental designs and modern approaches (e.g., statistical design of experiments or DOE) useful for product, process, and/or service verification and validation studies. DOE will be visually presented using its underlying, simple geometric structure.

Please bring your laptop; lecture slides and workbook will be on a USB drive.

Abstract:
Bipolar Disorder, formerly known as manic depression, is a severe form of mental illness. It is characterized by alternated episodes of mania and depression, and it is treated typically with a combination of pharmacotherapy and psychotherapy. Recognizing early warning signs of upcoming phases of mania or depression would be of great help for a personalized medical treatment. Unfortunately, this is a difficult task to be performed for both patient and doctors.

In this workshop we present the research results coming from the MONARCA European project, which developed and validated solutions for multi-parametric, long term monitoring of behavioral and physiological information relevant to bipolar disorder. These solutions have been combined with an appropriate platform and a set of services into an innovative system for management, treatment, and self-treatment of the disease.

Starting from a deep understanding of the Bipolar Disorder and the challenges that this disease poses in its treatment, the workshop will present all the technological solutions that have been achieved in the MONARCA project in order to reach the envisioned goals. In particular, great emphases will be posed on all the innovative solutions that have been implemented in the project with a focused view on the biomedical aspects. The invited talks will be followed by a period of open discussion with the participants.

List of Speakers and Titles of Presentations (Tentative Program):

1. Alessandro Puiatti (University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland): Welcome
2. Christian Haring (Psychiatric State Hospital of Tyrol, Innsbruck, Austria): The Bipolar Disorder
3. Oscar Mayora (CreateNet, Trento, Italy): Monitoring, Treatment and Prediction of Bipolar Disorder Episodes
4. Paul Lukowicz (University of Passau and Technical University of Kaiserslautern, Germany): Behavior Assessment and Forecasting for Patients Affected by Bipolar Disorder
5. Franz Gravenhorst, Amir Muaremi, Bert Arnrich (ETH, Zurich, Switzerland): Unobtrusive Electrodermal Activity Measurement Device and Voice Analysis for Supporting Bipolar Disorder Monitoring
6. Jakob Bardram (ITU, Copenhagen, Denmark): Patients and Self Assessment in Bipolar Disorder Therapy
7. Christian Haring (Psychiatric State Hospital of Tyrol, Innsbruck, Austria): The MONARCA System in Bipolar Disorder Clinical Trials

Abstract:
This workshop will feature several large scale efforts to establish data sharing platforms, standards and tools to promote data intensive analysis in the neurosciences. As we head into the second decade of the 21st century, many scientists realize that current methods for publishing and accessing data are outmoded and inefficient. Neuroscience, with its large diverse and highly competitive community, has been slow to adopt more open sharing of data and has lacked effective tools to do so. There has been a significant investment in databases and tools for biological science, and frequent calls for more of them, but few calls to the biological community to adopt practices and frameworks for making their resources more easily discoverable and data more accessible. Data are contained within diverse sources, from web pages, databases, literature to personal lab systems, making for a haphazard mechanism for data and tool discovery. Although these mechanisms are effective for small communities, they are parochial for the totality of resources available, leading to fragmentation in the resource ecosystem. Neuroscience, with its diverse subdisciplines, complex data types and broad domain, presents the perfect exemplar of the current practices, bottlenecks and issues surrounding open access to data. This situation is changing, however, as groups have started to work together to define new models and tools for sharing and analyzing neuroscience data on an international scale. In this workshop, we bring together experts from national and international projects to discuss issues of data access and progress towards establishing platforms and best practices for effective sharing of neuroscience data in support of basic and clinical neuroscience.

List of Speakers and Titles of Presentations:

1. Sean Hill (International Neuroinformatics Coordinating Facility): Neuroscience in the Cloud
2. Magali Haas (Johnson & Johnson): One Mind for Research Knowledge Platform
3. David Kennedy (University of Massachusetts): A Data Publication for Neuroscience
4. Chinh Dang (Allen Brain Institute): The Power of Open Data: The Allen Brain Atlas
5. Jeffrey Grethe (UC-San Diego): Where are the Data? Perspectives from the Neuroscience Information Framework

Abstract:
Health Informatics is the intersection of several fields including computer science, healthcare, and business. The health informatics have to deal with many challenges such as the need to provide the needed information anywhere anytime to anyone authorized in prompt, correct and secure ways. Using this broad definition, HI could include resources, devices and methods including (a) electronic medical records, (b) decision support systems for healthcare, (c) health information systems, (d) protocols for exchange of medical and healthcare information, and, (e) devices for medical decisions. The health informatics can be divided into multiple sub-areas such as consumer health informatics, nursing health informatics, organizational health informatics, public health informatics, and clinical or medical health informatics, each serving a specialized role to specific sub-population.

In this tutorial, we address how information can be used most effectively in various healthcare processes to achieve several goals. More specifically, we look at the followings:

• Mobile EMR/EHR: how information related to patients is organized and used in the delivery of healthcare
• Mobile Health monitoring: how the current information on patient's condition is used in providing the needed care in a timely fashion
• Medication adherence: how the information on patient's medication taking behavior can be used in deciding the most suitable intervention to improve adherence
• Medical decision making: how the presentation of information can be improved to achieve improved medical decision making
• Mobile technologies for elderly: how information and communications technologies can be matched to elderly in their desire for independent living
• Mobile Infrastructure design: how different requirements of health informatics can be utilized in the design/implementation of infrastructure.

Abstract:
Given the dimension and difficulty of data managing in e-Health, and the complexity of multidisciplinary Healthcare processes, the "Unified Modeling Language" (UML) has become an essential tool to properly model the domain of interest. It is a language for specifying, visualizing, constructing, and documenting the artifacts of software systems, as well as for business or process modeling. The strength of the UML language is its simple graphical notation that facilitates the communication between informatics and experts of the domain. This is a crucial requirement to simplify, verify and optimize the development of the model.

The UML allows applying systematically the novel process knowledge coming from the experience of healthcare professionals achieving at least a detailed explanation of the process useful for all the involved actors. When the process is already well organized the UML model can provide a way towards standardization.

As the UML was developed to design and specify software systems, process modeling using UML could facilitate the evolutionary maintenance of health information systems. The UML model of a process can help during the design phase of new components.

The aim of this tutorial is to give a permanent idea of the language to students and researchers interested and involved in healthcare applications that have the necessity to learn a systematic and rational approach to health care processes. The tutorial can be delivered in a half a day format including the first two hours of UML fundamentals, using examples coming from the e-Health domain, and the conclusive 2 hours on the application of UML in the domain of the rehabilitation of individuals with stroke inpatients in a specialized clinic.

Abstract:
The session will present a tutorial on the IEEE 11073 Personal Health Device (PHD) standards. The session will cover the theory of the 11073-20601 base standard, the -104xx specializations and the current transport technologies (BT, BT LE, USB and ZigBee). The session will explain the domain information model, service model, and nomenclature and how these are used to model real devices. The session will cover practical examples of devices from the separate domains of telehealth, independent living, and health and fitness. The session will describe the advantages to research and industry applications.

Abstract:
Nearly in all clinical medicine specialties, medical images and other multi-media related data are generated and need to be distributed to points of decision. Recently, the electronic patient record (ePR) with image distribution system is gradually taking over as the method for distribution of multi-media content to the clinical environment. New challenges are accompanying its spread into other clinical fields. Particularly important are the modeling and analysis of workflow of the affected clinical disciplines as well as interface and integration issues with the image-connected electronic patient record. Although the awareness of these issues is increasing rapidly, equally important is the recognition in the professional community that more rigorous scientific methods are needed to handle the clinical system development and deployment. Furthermore, medical imaging informatics is not only based on many existing concepts, theories, terminology, and methodology derived from health informatics, but also deals with different types of data including multi-dimensional medical images, graphics, waveforms, graphics and text which are focused on the cellular, tissue, and organ systems. Accordingly, medical imaging informatics requires new concepts and new tool sets to handle these types of data. This half-day tutorial aims to first introduce the basic concepts of Medical Imaging Informatics infrastructure in both research and clinical environments including PACS, RIS, HIS, ePR, standards, databases, and system integration. This will be followed with discussions of new frontier areas of research in medical imaging informatics with some examples of clinical applications in Surgery, Neurology, Oncology, and Neuro-Rehabilitation.

List of Speakers:

1. Brent J. Liu (University of Southern California)
2. Han K. Huang (University of Southern California)
3. Heinz Lemke (Innovation Center for Computer Assisted Surgery , University of Leipzig)