Program
Program at a glance: |
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Venue 14.9.: | Hotel Sofitel Munich (at main train station - Hauptbahnhof) |
Venue 15.9. & 16.9.: | BMW Welt Munich |
Workshop: SCH'16
"Social Computing in Digital Health" aims to discuss the application of social computing to eHealth, mHealth, and public health services. This field of research aims to bring together interactive social intelligence to eHealth systems by combining information from multiple users and groups, along with context information and social interaction to promote innovative methods of health system and monitoring.
- Virtual and Augmented Reality Environment for Remote Training of Wheelchairs Users - Social, Mobile, and Wearable Technologies Applied to Rehabilitation
- UbMed: A Ubiquitous System for Monitoring Medication Adherence
- On the Use of Inertial Sensors and Machine Learning for Automatic Recognition of Fainting and Epileptic Seizure
Workshop: SSH
Technological developments in computing and networking have largely made the delivery of health services, including medical diagnosis and patient care, possible from a distance. Many funded projects have evaluated and are evaluating the use of communications technology in the implementation and performance of telemedicine activities, and examined the impact of telemedicine on medical care in terms of cost, quality, and access. Telemedicine has become a growing new interdisciplinary field, which will eventually contribute to improving the quality of health care for everyone. However, successful implementation of this vision depends not only on innovative telemedicine applications but also on networking and computing technical readiness. Furthermore, many ethical, social, and political problems arising in telemedicine need technical solutions.
- e-Health/m-Health Services for Dermatology Outpatients Screening for Skin Cancer and Follow-up
- Easy Fall Risk Assessment by Estimating the Mini-BES Test Score
- An Algorithm for Estimating Baseline Wander Based on Nonlinear Signal Processing
- Muscular Activation Intervals Detection Using Gaussian Mixture Model GMM Applied to sEMG Signals
- Current Health Records Practices in Afghanistan and Possible Future Development
- Nurturing Wearable and mHealth Technologies for Self-Care: Mindset, Tool Set and Skill Set
- IoT Modelling and Runtime Suite for e-Health
- Computer-Assisted Clinical Diagnosis in the Official European Union Languages
- A Non Invasive and Intelligent Method for Cardiovascular Parameters Tele-Monitoring
- Performance Evaluation of Mobile Medical Multimedia Transmission Over ITS GeoNetworking Protocol
Workshop: SPAIMEH & ReHIS
SPAIMEH: Traditional access control measures for privacy preservation may not match the eHealth record system scenario, where the roles of all stakeholders are less defined. Questions regarding data ownership and information management obligations for major stakeholders (healthcare professionals, patients, administrators) arise. Healthcare professionals require ready access to as much information as possible to support informed decision making. However, patients may want to exercise control over the entities gaining access to their personal health information, with particular concerns for information privacy. Balancing these competing concerns is a major challenge in the implementation of successful e-Health systems. This is not just a technological challenge, but a multidisciplinary problem with technological, social, legal and health policy aspects.
ReHIS: The workshop provides an international forum for research community working on testing, verification, performance evaluation, and reliability of eHealth research areas.
- An Exploratory Study of the Role of eHealth in Healthy Ageing
- Survey on Cybersecurity Issues in Wireless Mesh Networks Based eHealthcare
- Quality Evidence, Quality Decisions: Ways to Improve Security and Privacy of EHR Systems
- Metrics for eHealth Services Improvement
- Anatomy of Log Files: Implications for Information Accountability Measures
Workshop: iOR
The operation room is the most expensive area in hospitals. To optimize operating room management, connected devices which are communicating and sharing data with other peripheral devices are necessary. By analyzing available data of these connected devices, actions of surgical staff and other data in the operating room and parallel matching of all available data with dedicated workflow models, will make context-aware operating rooms possible. These context-aware operating rooms could help to prevent surgical errors i.e. by automated detection of deviations from the standard processes or even automate counting of consumables and prevent them from being remained in the patients´ cavity.
This workshop covers the acquisition, analysis, as well as modeling and monitoring of surgical processes and the integration of all information acquired during anamnesis, i.e. anatomy of patient, diagnostic information, etc. in process models. To achieve the main goal of a context-aware operating rooms, a close cooperation of clinicians, researchers and engineers is necessary. Therefore this will be an interdisciplinary workshop, interactive demonstrations are welcome.
- A Concept for Consistent and Prioritized Presentation of Surgical Information
- 3D-Surgical Microscopy: Possibilities and Limitations
- Activation Patterns in Electrosurgery by Experts and Residents
Workshop: ETPHA
The objective of this workshop is to offer an international platform for the presentation of research papers that would address the impact of Emerging Technologies on Healthcare applications and services. Recent advances in sensing, computing, communication and networking technologies have paved the way to dangle unprecedented pervasive healthcare applications and services. For example, body sensor networks (BSNs) employ numerous miniaturized, portable, and autonomous sensing devices in, on, or around the body for pervasive health monitoring such as predicting contingency abnormal condition and treatment of chronic diseases including diabetes and hypertension. Moreover, BSNs can help in determining context-aware psychological classification (e.g., personality type, mood, psychological condition) in real-time based on physiological parameters (e.g. body temperature, heart rate, blood pressure, perspiration, and brain impulses), which can revolutionize human-interactions. Other potential applications may include activity scheduling based on circadian rhythms, social network computing, interactive gaming, driver drowsiness detection, and entertainment. Nonetheless, enormous amount of critical data (Big Data) collected through various BSN nodes require fast, reliable, on-demand, scalable, secure, and powerful communication (e.g., 5G) and computing infrastructure (e.g., cloud computing). However, integration of these technologies introduces new social, legal, technical and security challenges. Emerging technologies have played a vital role to elevate the health services in rural and urban areas of entire world. New horizons are opened in Telemedicine, remote patient monitoring, remote ICU monitoring (e-ICU), wearable technology, patient data analytics and healthcare cyber-security. The aim of this workshop is to foster high quality original, unpublished research papers that articulate recent advancements on the domain.
- Rapid Delivery e-Health Service (RDeHS) Platform
- A Hierarchical Lazy Smoking Detection Algorithm Using Smartwatch Sensors
Workshop: Health 4.0 and the Power of Big Data
The aim of the workshop is to discuss the implications of 5G, Big Data, cyber-physical systems on the emergence of new treatment strategies (smart pharmaceuticals) and the subsequent change of service- and business models. Building on a workshop from IEEE Healthcom 2016 in Munich in September we would bring together a vision document (6 pages or so) to outline a roadmap for the next step on the development of strategies for the management of chronic, non-communicable conditions utilizing Industrie 4.0 design principles and emerging network technologies (5G).
Speakers:
- Christoph Thuemmler, Edinburgh Napier University
- Lyse Brillouet, Orange
- David Soldani, Nokia
- Astrid Grottland, Norwegian Centre of eHealth Research
- Health 4.0: The Case of Multiple Sclerosis
GP03: Telemedicine & Telematics
- Architecture Design Ubiquitous Telemedicine Based on Arduino Mhealth LTE
- Potential Redundant Link Fail-over Strategies for Uptime-sensitive Medical Telemetry Applications
- A Flexible Architecture for Mobile Health Monitoring
- Multi-Layer Architectures for Remote Health Monitoring
- An Innovative WebRTC Solution for e-Health Services
- Time-Frequency Based Contactless Estimation of Vital Signs of Human While Walking Using PMCW Radar
GP02-a: Feature Recognition
- An Approach to Localization in Crowded Area
- EEG-based Automatic Emotion Recognition: Feature Extraction, Selection and Classification Methods
- Breast Mass Detection From Mammography Using Iteration of Gray-level Co-occurrence Matrix
- Analysis of Thigh Cross-sectional Proportion Using the Portable Ultrasound Imaging System
- Severe Burns Assessment by Joint Color-Thermal Imagery and Ensemble Methods
GP05-a: Decision-Support & Intelligence
- CorporateMeasures: A Clinical Analytics Framework Leading to Clinical Intelligence
- Predicting 30-Day All-Cause Readmissions From Hospital Inpatient Discharge Data
- Summarizing Patient Daily Activities for Clinical Pathway Mining
- "OntoDrive" A Multi-Methodological Ontology Driven Framework for Systems Analysis of Health Informatics
GP06-a: Self Monitoring & Disease Management
- A Mobile Health Solution for Chronic Disease Management At Retail Pharmacy
- Cell Phone- Based Diabetes Self-Management and Social Networking System for American Indians
GP01-a: Ambient Assisted Living
- Activity Recognition Based on Micro-Doppler Signature with In-Home Wi-Fi
- Opportunistic Physical Activity Monitoring Via Passive WiFi Radar
- A Mobility Device for the Blind with Improved Vertical Resolution Using Dynamic Vision Sensors
Welcome Reception
The welcome reception will take place at the Hotel Sofitel Munich Bayerpost.
Chair's Welcome
Keynotes: Huawei, Orange, GS1
Keynotes:
- Dr. Walter Weigel, Huawei: Beyond the Wire: how 5G will boost e-Health
- Christian Hay, GS1: The Role of G-Tins in virtualization in Health Care
- Lyse Brillouet, Orange
GP00: Emerging Topics
- Determinants of Next Generation e-Health Network and Architecture Specifications
- UML/OCL-based Modeling of Work-Based Access Control Policies for Collaborative Healthcare Systems
- Dynamic Fine-Grained Access Control in e-Health
GP01-b: Ambient Assisted Living
- System Architecture of Customized Intelligent Lighting Control and Indoor Environment Monitoring System for Persons with Mild Cognitive Impairment or Dementia
- Smartwatch Based Tumble Recognition - A Data Mining Model Comparision Study
- Smartphone-based Transport Mode Detection for Elderly Care
- Wireless Indoor Low Power Tracking System for Elderly People Assistance in an Urban Environment
- Building a Spatial-Temporal Index to Detect the Global Pattern Deviations in Daily Activities of Elderly Subjects
GP02-b: Feature Recognition
- Sleep Apnea Detection Using a Feed-Forward Neural Network on ECG Signal
- Internet of Things in Sleep Monitoring: An Application for Posture Recognition Using Supervised Learning
- Emotion Recognition Using Mobile Phones
GP05-b: Decision-Support & Intelligence
- Patient-Aware Adaptive Ngram-based Algorithm for Epileptic Seizure Prediction Using EEG Signals
- Data Fusion for Predicting ARDS Using the MIMIC II Physiological Database
- Adaption of Medical Information System's E-Learning Extension to a Simple Suggestion Tool
- Electronic Health Records: Improvement to Healthcare Decision-making
- An Inference Mechanism Using Bayes-based Classifiers in Pregnancy Care
GP06-b: Self Monitoring & Disease Management
- Still in Flow - Long-term Usage of an Activity Motivating App for Seniors
- Workload Management Through Glanceable Feedback: The Role of Heart Rate Variability
- Towards Rehabilitative E-health by Introducing a New Automatic Scoring System
- ROAMM: A Software Infrastructure for Real-time Monitoring of Personal Health
- A Wearable 1-Lead Necklace ECG for Continuous Heart Rate Monitoring
GP12-a: Medical Imagery & Teleradiology
- A Simple and Accurate Matrix for Model Based Photoacoustic Imaging
- Non-local Means Kernel Regression Based Despeckling of B-mode Ultrasound Images
- Human-machine Interface Based on Multi-channel Single-element Ultrasound Transducers: A Preliminary Study
- Assessing the Relational Database Model for Optimization of Content Discovery Services in Medical Imaging Repositories
- A Hybrid Quality Evaluation Approach Based on Fuzzy Inference System for Medical Video Streaming Over Small Cell Technology
Lunch
Workshop: 5G PPP Phase III
5G PPP Phase 3 calls are expected to be announced in 2017. Between now and then stakeholder discussions will shape the call text with regards to highlighted topics, impact, aims and objectives. This workshop will offer one of the rare opportunities to take action on building this important future call. The workshop will address in particular the requirements of the health domain.
Speakers:
- Bernard Barrani, European Commission
- David Soldani, Nokia
- Halid Hrasnica, Eurescom
- Sajida Zouarhi, Orange
- Eirik Arsand & Astrid Grottland, University of Northern Norway
- Altaf Sadique, GaneData, Leeds
- Christoph Thuemmler, Edinburgh Napier University
GP01-c: Ambient Assisted Living
- A Data Fusion System to Study Synchronization in Social Activities
- Exploiting Riemannian Manifolds for Daily Activity Classification in Video Towards Health Care
- Sway Analysis and Fall Prediction Method Based on Spatio-Temporal Sliding Window Technique
- A Conceptual Model for Integrating Social and Health Care Services At Home: The H@H Project
- NSense: A People-centric, Non-intrusive Opportunistic Sensing Tool for Contextualizing Nearness
GP02-c: Feature Recognition
- ParkNosis: Diagnosing Parkinson's Disease Using Mobile Phones
- Smartphone Based Automatic Abnormality Detection of Kidney in Ultrasound Images
- ST-segment and T-wave Anomalies Prediction in ECG Data Using RUSBoost
- Intelligent Depression Detection and Support System: Statistical Analysis, Psychological Review and Design Implication
GP05-c: Decision-Support & Intelligence
- Application of Recommender System Methods for Therapy Decision Support
- Immediate and Long-term Effects of 2016 Zika Outbreak: A Twitter-based Study
- Big Social Data Analytics for Public Health: Facebook Engagement and Performance
- Evaluating the QoE of a Mobile DSS for Diagnosis of Red Eye Diseases by Medical Students
GP06-c: Self Monitoring & Disease Management
- Midwifery E-Health:From Design to Validation of "Mammastyle - Gravidanza Fisiologica"
- Wireless Solution to Prevent Decubitus Ulcers: Preventive Weight Shifting Guide, Monitor, and Tracker App for Wheel Chair Users with Spinal Cord Injuries (Phase II)*
- Experiment Design of Free Pregnancy Monitoring mPHRs Quality Evaluation
- Mobile Self-Management Application for COPD Patients with Comorbidities: a Usability Study
GP09: Nano Technologies
- QoS Aware Molecular Activation and Communication Scheme in Molecular Nanoscale Sensor Networks
- Adaptive Code Width Protocol for Mitigating Intersymbol Interference in Diffusion-based Molecular Communication with Mobile Nodes
GP13: Mixed e-Health
- Economic Evaluation of m-Health: Case of e-Ambulance in Japan
Banquet (Hofbräuhaus)
Venue is in Munich old town. Venue is reachable by public transport. Guidance will be provided.
Keynote: Nokia (Dr. Soldani)
Workshop: WWRF
Mobile health (m-Health) covers health applications that are enabled by mobile communication devices such as smart phones, tablets and laptop computers. The forthcoming 5G (fifth generation of mobile communications) will enable the independent communication of intelligent devices (known as the Internet of Things IoT) providing an ecosystem where such devices will have the autonomy to monitor the health related issues of individuals and update the Electronic Patient Record (EPR) that is centrally controlled by the healthcare system. This ecosystem will provide amazing opportunities for innovative applications that could transform the quality and efficiency of healthcare delivery and personalised support. It is envisaged that together with prescribed medication we will be prescribed a mobile application system that will provide support on the way that we treat our health conditions. It is also important to point out that this ecosystem is predicted to create jobs and economic growth combining ICT, smart medical devices, and smart pharmaceuticals all working together for the delivery of healthcare encouraging prevention and leading to a healthier lifestyle.
The aim of this workshop is to present the vision of m-Health under 5G, provide experts' views on the development of this future ecosystem of intelligent devices and demonstrate with the presentation of case studies and short demos the benefits to the healthcare industry and the individuals.
Workshop: Project ALFRED
ALFRED - Personal Interactive Assistant for Independent Living and Active Ageing - is a project funded by the Seventh Framework Programme of the European Commission under Grant Agreement No. 611218. It will allow older people to live longer at their own homes with the possibility to act independently and to actively participate in society by providing the technological foundation for an ecosystem.
The ALFRED project organizes this workshop in collaboration with invited speakers to present and discuss:
- possibilities for interoperability and open frameworks to bring solutions together
- research results concerning interoperability and standards in the field of active ageing
- needs of end users of technology and how these can be tackled within research
- presentation of Google about Big Data (as an example the genomics project) and Machine Learning
Programme: http://alfred.eu/opaa-workshop/#schedule
GP04-a: Sensor Networks, Wearables, and IoT
- Distributed Scheme for Interference Mitigation of WBANs Using Predictable Channel Hopping
- Performance Improvement of the Wireless Body Area Network (WBAN) Under Interferences
- Buffer-aware and QoS-effective Resource Allocation Scheme in WBANs
- Performance Improvement of the Wireless Body Area Network (WBAN)
- Blockchain Technology in Healthcare - The Revolution Starts Here
GP07: Augmented Reality, Virtual Reality, Tools and Methods
- Language Therapy of Aphasia Supported by Augmented Reality Applications
- PhysioVR A Novel Mobile Virtual Reality Framework for Physiological Computing
- Prediction of Anatomical Exposure to Solar UV: a Case Study for the Head Using SimUVEx V2
- Ergonomic Surgical Practice Analysed Through sEMG Monitoring of Muscular Activity
- Is There a Relationship Between Frailty Indices and Balance Assessment in Older People
GP11: Hippocratic Data: Access Control and Legal Implications
- An Attribute Based Access Control Scheme for Secure Sharing of Electronic Health Records
- Computer-Aided Diagnosis in Medical Imaging: Review of Legal Barriers to Entry for the Commercial Systems
- U-Prove Based Security Framework for Mobile Device Authentication in eHealth Networks
- Patterns for Conflict Identification in Clinical Trial Eligibility Criteria
GP12-b: Medical Imagery & Teleradiology
- Echocardiography to Cardiac CT Image Registration
- Architecture of a Web-Based DICOM Viewer Showing Segmentations and Simulations
- Generic Features for Fundus Image Quality Evaluation
- Accessing Image Resolution and Frame Rate Effects in Radiology From a Human and a Machine Point of View
- Integrating Multiple Data Sources in a Cardiology Imaging Laboratory
Lunch
Panel: Cyber-Security, IoT, Wearables and the Quantified Self (QS)
In the Panel/Workshop at HealthCom 2016 on "Cyber-Security, IoT, Wearables and the QS", the IEEE Life Sciences Technical Community will bring together, under one roof, expertise in issues related to cybersecurity, the Internet of Things, wearables and the Quantified Self. Notable experts from the various IEEE Societies (Circuits & Systems Society, Engineering in Medicine & Biology Society, Computer Society, Society on Social Implications of Technology & Consumer Electronics Society) will present and discuss their related fields of expertise. The audience and the experts will then discuss how to bring it all together and propose a vision and a plan of action for the next decade of persistent physiological monitoring.
Topics: - Wearable Devices and the Quantified Self - Cyberspace, Privacy and Information Security in the Healthcare Sector: Social Implications of Technology - Connecting Wearable and Implantable Medical Devices to Internet for Remote Sensing and Treatment - Up Close and Personal: Cybersecurity in Medical IoT Devices.
Panelists:
- Eric Evenchick, Linklayer Labs, Toronto, Canada
- Nahum Gershon, The MITRE Corp., McLean, VA
- Luis Kun, IEEE, Faifax, VA
- Mohamad Sawan, University of Montréal, Montreal, Canada
GP04-b: Sensor Networks, Wearables, and IoT
- Towards Semantics in Wearable Sensors: The Role of Transducers Electronic Data Sheets (TEDS) Ontology in Sensor Networks
- A Queue-Size & Channel Quality Based Adaptation of the Energy Detection Threshold in IEEE802.15.6 CSMA/CA
- SDN-TAP: An SDN-based Traffic Aware Protocol for Wireless Sensor Networks
- A Framework for Modularised Wearable Adaptive Biofeedback Devices
GP08: Implantable Sensors
- Exploiting Dental Implants for Creating Wired Implantable Health Monitoring Devices
- Implantable Microdevice with Integrated Wireless Power Transfer for Thermal Neuromodulation Applications
- Reliable Listen-Before-Talk Mechanism for Medical Implant Communication Systems
- Wireless Optogenetic Neural Dust for Deep Brain Stimulation
GP10: Data Processing and System Interoperability
- A Maturity Model for Interoperability in eHealth
- Constellation: A Secure Self-Optimizing Framework for Genomic Processing
- Dynamic EEG Compression Approach with Optimized Distortion Level for Mobile Health Solutions
- HI-risk: A Method to Analyse Health Information Risk Intelligence