Title: Bio-Integrated Flexible and Stretchable Electronics for Skin Sensor Networks

Organizers: Prof. Gaetano Marrocco (University of Rome Tor Vergata); Dr. Sara Amendola (University of Rome Tor Vergata); Prof. John A. Rogers (Northwestern University)

Overview: The workshop aims at drawing the state-of-the-art for skin-like technologies by discussing the latest scientific progress and achievements, the open challenges and the opportunities for future directions. As this research area is at the crossroads of several disciplines (including electronics, electromagnetics, mechanics, materials science, chemistry, biology, medicine, ethics) the workshop will offer the opportunity of fruitful contamination among chemical sensors, electromagnetic components and interconnects, energy harvesting and the smart materials and packaging as well as ethical issues.


Title: Automated Dietary Monitoring 2019

Organizers: Prof. Oliver Amft (Chair of Digital Health – FAU Erlangen-Nürnberg); Dr. Samantha Kleinberg (Stevens Institute of Technology); Dr. Benny Lo, (Imperial College London); Dr. Edison Thomaz (University of Texas at Austin)

Overview: The objective of ADM is unobtrusive, continuous long-term diet monitoring as well as supporting sustainable diet change. Investigations on body-worn sensors and related analysis algorithms to monitor dietary behaviour have gained wide interest in the BSN community. Several early business ventures are picking up ideas. And still, unobtrusive monitoring and intervention systems for diet management are broadly lacking. The technology must be made ready for free-living everyday use, while capturing various behavioural aspects related to intake. The ADM workshop invites innovative scientific contributions provided as presentation and abstract (no full papers) on the following non-exhaustive list of topics:
• Intake recognition and pattern analysis algorithms (online and offline) leveraging wearable systems, including intake timing, intake material, amount, and further variables.
• Studies on, and methodologies for technology-supported situative dietary coaching and guidance towards lifestyle changes.
• Trustworthy evaluation methodologies, in particular those that generalise onto freeliving.
• Opinions of dietician and coaches on supportive technology and requirements.
• Presentations of relevant datasets available to other researchers.


Title: Using mHealth Technology to Enable the Clinical Trial of the Future

Organizers: Dr. Paolo Bonato (Harvard Medical School); Dr. Federico Parisi (Harvard Medical School)

Overview: The adoption of mHealth technologies in clinical trials has recently gained the attention of researchers and clinicians. These technologies facilitate tracking adverse events, improve the reliability of the clinical trial data thus leading to a decrease in the required sample size, and enable effective strategies to achieve optimal adherence to study protocols. Workshop attendees will hear from field experts how body sensor networks and other mHealth technologies are currently utilized in clinical trials, how data analytics tools are designed to derive clinically-relevant information from sensor data, and how clinical trial endpoints can be derived from body sensor data. Besides, attendees will have the opportunity to hear how funding agencies look upon these technologies as key to advance medical research and accelerate the path toward clinical adoption of experimental medical interventions.


Title: 6th Intl. Symposium on Automated Sensor Based Mobility Analysis for Disease Prevention and Treatment

Organizers: Dr. Bjoern Eskofier (Friedrich-Alexander University Erlangen-Nuernberg, Machine Learning and Data Analytics Lab); Dr. Jochen Klucken (University Hospital Erlangen, Department of Molecular Neurology)

Overview: Mobility defines the quality of life in health and disease. Sensor based information on gait and mobility is increasingly introduced into healthy living and disease monitoring. It supports primary prevention, diagnostic work-up and therapeutic decisions in a variety of disorders. In an ageing society, impairment of motor function is of increasing medical and economical relevance. In particular neurological, musculoskeletal and cardiovascular disorders reduce the ability to move independently and limit the autonomy of patients. Even though the disease causing mechanisms are specific for each disorder, mobility in general is limited. This fact makes mobility an important surrogate marker for disease severity and progress, but more importantly for therapeutic decisions and quality of life. Currently, modern body sensor network based motion detection systems are developed that (I) assess motor function in primary prevention and throughout the course of numerous movement disorder diseases, (II) provide objective measurement for therapeutic efficacy in clinical studies, and (III) support therapeutic decisions. The symposium will focus on the current knowledge and applications of body sensor network based motion detection systems in the clinic. It will bring together technical experts and physicians specialized in movement disorders to discuss the recent advances in the field of automated mobility analysis. The half-day symposium will provide a forum for academia, clinicians, industry, health insurance, and governing bodies to exchange ideas and to promote collaboration. This symposium was held for the first time in 2013 during Body Sensor Networks Conference in Boston, USA. The following editions took place in Zuerich, Switzerland, Boston, San Francisco, and Las Vegas.