Agenda

Tuesday, October 25, 2016

Pre-conference Workshop Sessions

8:00 am – Registration Opens and Continental Breakfast

9:00 am – Morning Half-day Workshop Sessions – Conference Center Lower Level

Workshop 1: Ensuring Data Trustworthiness to Facilitate Adoption of Wireless Health Applications
Conference Room C 1&2

Workshop Leaders:
Julian M. Goldman, MD, Director, Medical Device Interoperability Program, Massachusetts General Hospital Dept. of Anesthesia; Medical Director of Biomedical Engineering, Partners HealthCare
Sandy Weininger, PhD, Senior Electrical Engineer, FDA Center for Devices and Radiological Health, Office of Science and Engineering Laboratories
Robert B. McCray, President & CEO, Wireless-Life Sciences Alliance

The use of wireless platforms has transformed commercial and business applications. Life sciences and health related applications including hospital, home, and transport environments are promising and valuable extensions of these platforms but only if the data to be derived is trustworthy. To be used for clinical or research purposes the device state and clinical context of use must be understood and documented. This workshop will explore challenges and opportunities associated with specific clinical scenarios. The workshop will be participatory: the audience will assist in the construction of robust use cases that identify hazards, root causes, and risks; context and state of devices, patient, and the environment; governance and procedures; and possible risk control measures. The ability to reason about trustworthiness and its relationship to safety will be discussed. This information may prove useful for supporting clinical study design, IRB and regulatory approval, in support of adoption. Additional details about this session, including a clinical scenario and hazard analysis, are available here: Session Details

Workshop 2: Advanced Machine Learning Methods for Mobile Health Research
Conference Room D

Workshop Leaders: Benjamin Marlin, PhD, University of Massachusetts, Amherst

This tutorial will provide an introduction to machine learning methods beyond basic classification that can aid in developing more accurate mobile sensor-based detection systems in the face of several challenges that commonly occur in mobile and wireless health research. These challenges include dealing with low labeled data volumes, between-subject variability, lab-to-field generalization, and multi-scale prediction. Low volumes of labeled data are common in many mHealth applications like smoking, eating, and drug use detection due to the high cost of obtaining accurate labeled data. Between subject differences occur in mobile health applications across a wide range of time scales and sensing modalities, motivating the need to trade-off between the larger data volumes available to population-level models and the greater flexibility of personalized models. The need to collect data in lab settings to ensure the quality of labels frequently has an adverse effect on the ecological validity of the data collected, which can limit generalization performance when models are deployed in the field. Finally, many mHealth tasks involve hierarchical output like the detection of individual smoking puffs and the delineation of smoking sessions, which should be solved jointly to minimize error propagation. This tutorial will begin with a review of the standard classification paradigm, and will extend it in several directions including transfer learning, domain adaptation, and structured prediction to address the challenges described above.

10:30 am – Morning Break

12:00 pm – Lunch

1:00 pm – Afternoon Workshop Session – Conference Center Lower Level

Workshop 3: From New Technology to RCTs – Navigating the Wireless Health Funding Landscape
Conference Room D

Workshop Leaders: Laura Povlich, PhD, NIH; Richard Conroy, PhD, NIH; Wendy Nilsen, PhD, NSF

In these tight fiscal times, researchers have to be innovative in their science, as well as in their funding sources. This workshop will provide information to researchers — from those seeking their first grant to seasoned investigators — on funding options and review considerations at the NIH and NSF.

The sessions will start with an overview of the two agencies and then break into two groups, one of which will focus on NIH grant-writing and one with a focus on NSF (especially the Smart and Connected Health program). This workshops will be an informational and interactive opportunity for Aspiring Investigators to develop skills and address the knowledge gaps necessary to submit a successful proposals. The mission of the Smart and Connected Health program is the development of next generation health and healthcare research through high-risk, high-reward advances in the understanding of applications in information science, computer science, behavior, cognition, sensors, robotics, bioimaging, and engineering. The mission of the NIH is to improve health. Both agencies realize the promise of disruptive transformation in health will require well-coordinated, multi-disciplinary approaches. The Aspiring Investigator workshops will accomplish this through mentorship and didactic sessions to acquaint investigators with the key issues associated with agency culture and funding, the agency’s review process, and the breadth of existing projects.

9:00 am – 5:00 pm – All Day Workshop – INVITATION ONLY FOR THIS ONE SESSION

Workshop 4: Prototype to Patient Treatment
Conference room A

Workshop Leaders: Philip Asare, PhD, Bucknell University; Rider Foley, PhD, University of Virginia

The Prototype to Patient Treatment workshop will explore issues of current and alternative ways to approach regulatory, security, safety, and social acceptability as they relate to wearable medical technologies/body sensor networks. The workshop will use interactive activities to promote shared learning among the expert-participants and for later dissemination through a formal report. If you feel that you have expertise to offer and want to take part in the workshop, please contact Philip Asare (philip.asare@bucknell.edu) and Rider Foley (rider@virginia.edu).

This workshop is sponsored by The Center for Advanced Self-Powered Systems of Integrated Sensors and About ASSIST (ASSIST), a National Science Foundation sponsored Nanosystems Engineering Research Center (NERC).

For more information see the workshop website: http://www.assistworkshops.com/prototype-to-patient-treatment/

3:00 pm – Afternoon Break

5:00 pm – End of Workshops 

5:30 pm – Reception and Networking Activities – The Bethesda Hyatt Regency

7:30 pm – End of Day One

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Wednesday, October 26, 2016

7:30 am – Registration Opens and Continental Breakfast

Poster Sessions and Exhibit Tables on Display – Auditorium Foyer

8:30 am – Opening Remarks and Keynote Introduction – Kirschstein Auditorium

Opening remarks: Julian Goldman MD, Massachusetts General Hospital, Harvard Medical School and Jack Stankovic, University of Virginia

Keynote Introduction: Robert B. McCray, Wireless Life Sciences Alliance (WLSA)

9:00 am – KEYNOTE

Behavioral Economics, Wireless Technologies, and Chronic Disease Management

Kevin Volpp, M.D., Ph.D. University of Pennsylvania

The ongoing shifts in health financing towards payment for value creates enormous new opportunities for providers to rethink how chronic disease is managed. The proliferation of wireless technologies – and advances in behavioral science – could create a new ecosystem that supports a more effective and efficient approach to managing chronic disease and supporting patients in the 5,000+ hours per year when they are not in front of a health care provider.

9:30 – Technical Session 1

Situational and Context Aware Behavioral Monitoring

Chair: Richard Conroy, National Institutes of Health (NIH)

1 Using Mixed-effects Location Scale Model to Examine Factors that Influence Overeating Behaviors Among College Students:  Rawan Alharbi  – Northwestern University
2 Eating Gestures Detection by Tracking Finger Motion:  Jiaqi Gong – University of Virginia
3 A Wearable Sensing Framework for Improving Personal and Oral Hygiene for People with Developmental Disabilities:  Lahiru Wijayasingha – Imperial College London

10:15 am – Morning Break

10:45 am – Panel Session 1 – Kirschstein Auditorium
Smart Wearables for Medicine:  Hype or Revolution

Chair: Prof. John A. Stankovic, University of Virginia

Panelists:  William Kaiser, UCLA; Mike Mensinger, Dexcom; Eunsung Park, Samsung.

Smart wearables is an exciting technology being advocated for different types of medical use, including monitoring of physiological states (bio-watches) and activities (exercise, eating, etc), and as a tool to act as a reminder and scheduling system for caregivers. Some people expect many new and exciting medical uses to emerge. Others are not sure that the capabilities, accuracy, and form factors will be suitable. Are smart wearables for medicine hype or a revolution waiting to happen? The purposes of this panel are to present capabilities of today’s wearables and how they are being used for medical related purposes, and discussing what can be expected of the capabilities and applications in the near future. Panelists will also address the hype versus revolution viewpoints.

11:30 am – Technical Session 2

The Role of Wireless in Improving Mental Health

Chair: Galia Seigel, National Institutes of Health (NIH)

1 Gaze-Wasserstein: Exploring A Quantitative Screening Approach to Autism Spectrum Disorders:  Wenyao Xu – SUNY at Buffalo
2 Detecting Change in Depressive Symptoms from Daily Wellbeing Questions, Personality, and Activity:  Orianna DeMasi – UC Berkeley
3 Behavior vs. Introspection: Refining Prediction of Clinical Depression via Smartphone Sensing Data:  Bing Wang – University of Connecticut

12:15 pm – Lunch

1:30 pm – KEYNOTE – Kirschstein Auditorium

Keynote Introduction: John Stankovic -University of Virginia

The Unique Path of Development Through Introduction of Novel Wireless Health Products

William Kaiser, Ph.D. University of California, Los Angeles

This presentation will describe the development approach and enabling technology for new products that provide unprecedented capability for healthcare. As for many technology development initiatives, the new product is enabled by advances in areas including transducer technology, analytics algorithms, and embedded computing performance. In contrast to conventional electronic products, the path of development of Wireless Health products differs in fundamental ways. This requires clinical trials in earliest stage development that guide critical design choices from architecture to algorithms. Then additional clinical and non-clinical trials providing verification that meet exacting requirements of regulatory agencies. Finally, this path is only feasible as a result of guidance to engineering from clinicians dedicated to creating new solutions that serve a global healthcare need. This presentation will describe award winning product innovations including Wireless Health products that have now successfully entered the market with proven impact on delivery of care, cost of care, and patient safety demonstrated by independent and international trials. This presentation will also describe a contrasting example of a new product, the first external monitor of human digestion. This system, recently receiving FDA clearance, is now serving an ever expanding and diverse applications. Finally, the opportunities that lie ahead for Wireless Health devices that include monitoring and guidance will be described.

2:00 pm – Technical Session 3

Innovations in Tools for Health Care

Chair: Sylia Spengler, National Science foundation (NSF)

1 Smart-Energy Group Anomaly Based Behavioral Abnormality Detection:  Mohammad Arif UL Alam – University of Maryland
2 MedRem: An Interactive Medication Reminder and Tracking System on Wrist Devices:  MD Abu Sayeed Mondol – University of Virginia
3 Human-Centered Design of Internet of Things for Safer Response to Epidemics:  Taskin Padir Northeastern University
4 The mCME Project: A Randomized Controlled Trial of an SMS-based Continuing Medical Education Intervention for Improving Medical Knowledge Among Vietnamese Community Based Physicians’ Assistants: Christopher Gill – Boston University School of Public Health

3:00 pm – Afternoon Break

3:30 – Abstract Speed Presentation Session 1 – Kirschstein Auditorium Session

Chair: John Lach, University of Virginia

Abstract/Papers 13,19,21,25,32,51,75,77,85,30,83,6,10,22 & 31 to present, three minutes each

4:30 pm – KEYNOTE

Keynote Introduction: Donna Spruijt-Metz, MFA, Ph.D., mHealth Collaboratory Center for Economic and Social Research, Director – Keck School of Medicine

Modeling Human Behavior Using Smartphone and Smart Watch Data

Jennifer Healey, Ph.D. Intel Corporation

In this talk I will present some of our recent research on modeling Stress, Sleep and Transit using data from Smartphones and Smart Watches.  There is a tremendous amount of high level inference that we can do by fully enabling the sensors on a smart phone, and we are just beginning to tap into this rich source of information.  The new popularity of heart rate enabled smart watches could even further extend this trove.  Although there is much that can be learned from call logs and location data alone, in our experiments we monitor data from a rich variety of sensor channels by implementing a wake lock on the phone CPU and recording dozens of channels.  We additionally record features of audio from which we can determine when the user is speaking and from which we can additionally recognize salient audio events such as coughing, snoring, traffic and the presence of other people, along with qualities of other nearby people such as gender and age.  Using high level inference we can determine the approximate locations of a person’s home and work and the mode of transport by which they commute each day.  We can also start to model whether or not certain characteristics of a person’s day are “normal” for that person or “unusual” and correlate these changes with self-reported feelings of stress and other affective states.  With a model of a person’s normal activities, people and their care givers could begin to track longitudinal changes which might reflect disease progression or the efficacy of a course of treatment.  

5:00 pm – Reception, Poster and Demo Sessions – Auditorium Foyer

7:30 pm – End of Day Two

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Thursday, October 27, 2016

7:30 am – Registration Opens and Continental Breakfast

Poster Sessions and Exhibit Tables on Display – Auditorium Foyer

8:30 am – Welcome, Opening Remarks and Keynote Introduction – Kirschstein Auditorium

Keynote Introduction: Patricia Mechael – Personal Connected Health Alliance (PCHA)

9:00 am – KEYNOTE

Assessing Moderated Effects of Mobile Health Interventions on Behavior

Susan Murphy, Ph.D. University of Michigan

A critical question in the development of mobile health interventions is, when and in which contexts, is it most useful to push intervention content to the user. This question concerns time-varying dynamic moderation by the context on the effectiveness of intervention pushes. In this talk we discuss the micro-randomized trial design and associated data analyses for use in assessing moderation. We illustrate this approach with mobile health intervention data.

9:30 – Panel Session 2

Federally-Funded Wireless Health Resources

Wendy J. Nilsen, Ph.D. National Science Foundation (NSF)

10:15 – Morning Break

10:45 Technical Session 4– Kirschstein Auditorium

Heart Health in Wireless

Chair: Erin Iturriaga, National Institutes of Health (NIH)

1 Asthma Guide: An Asthma Monitoring and Advice Ecosystem:  John Stankovic – University of Virginia
2 Battery-Free RFID Heart Rate Monitoring System: Sena Agezo – Drexel University
3 Towards Data-Driven Pre-Operative Evaluation of Lung Cancer Patients: The Case of Smart Mask:  Brianna Myers – University of California, Davis
4 Parsing Wireless Electrocardiogram Signals with Context Free Grammar Conditional Random Fields:  Roy Adams – University of Massachusetts, Amherst

11:45 am – Abstract Speed Presentation Session 2 – Kirschstein Auditorium

Chair: Dana Wolff-Hughes, OBSSR

Abstract/Papers 66,78,69,92,93,96 & 97 to present, three minutes each

12:15 pm – Lunch

1:30 pm – Technical Session 5

Enhancing Gait and Movement in Neurological Conditions – Kirschstein Auditorium  

Chair: Mary Rodgers, University of Maryland

1 A Portable and Cost-Effective Upper Extremity Rehabilitation System for Individuals with Upper Limb Motor Deficits: Wenyao Xu – SUNY at Buffalo
2 Deep Motion: A Deep Convolutional Neural Network on Inertial Body Sensors for Gait Assessment in Multiple Sclerosis:  Jiaqi Gong – University of Virginia
3 Adaptive Symptom Reporting for Mobile Patient-Reported Disability Assessment:  Matthew Engelhard – University of Virginia
4 Home Monitoring of Drug Response in Patients with Parkinson’s Disease using Wearable Sensors:  Sunghoon Ivan Lee – Harvard Medical School

2:30 pm – Award Presentations

2:45 pm – Closing KEYNOTE

Introduction by: Julian Goldman MD, Massachusetts General Hospital, Harvard Medical School

Harnessing the Internet of Healthy Things

Joseph Kvedar, M.D. Vice President, Connected Health at Partners Healthcare

By 2020, experts predict that more than 20 billion everyday objects will be able to capture, receive and share data via a vast, interconnected global network linked together by inexpensive sensors, GPS and ’the cloud.’ Just around the corner, real time biometric data will be automatically captured and used to learn more about the impact of lifestyle on chronic diseases and wellness, and ultimately change behavior to improve our health. Using real-world examples, observations and recommendations from his new book, The Internet of Healthy Things, Dr. Kvedar describes the phenomena driving this trend and the business opportunities that arise from it. Dr. Kvedar will share his observations as a 20-year veteran in the field, as well as insights on consumer behavior; ways to design personal health devices and platforms that make the health consumer experience more compelling and addictive; and strategic advice for providers, developers, startups and entrepreneurs.

3:15 pm – Closing Remarks

3:20 pm – Conclusion of Conference