Speakers

Our keynote speakers are:

LYNN ROCHESTER

Newcastle University
UK

Digital mobility outcomes for assessing clinical outcomes: The Mobilise-D experience as viewed from pharma and academia

Mobility (such as walking speed) is an important indicator of health, a target for intervention and is what people care about.  Tools to measure mobility are limited and inconsistently applied. A more sophisticated and harmonised approach to capture mobility, when and where it counts (e.g. continuously in the real-world) could stimulate therapeutic development and enhance clinical care.  Digital technology (e.g. wearable devices) together with algorithms to measure digital mobility outcomes are being validated in Mobilise-D in a large global consortia effort. This talk will bring the perspective from pharma and academia together around the topic of mobility as they collaborate to make digital mobility outcome assessment a reality for clinical trials and healthcare.

Website:  http://bam-ncl.co.uk/ https://www.ncl.ac.uk/ion/staff/profile/lynnrochester.html#research
Twitter: @BAM_Research

RONENN ROUBENOFF

Novartis Institutes for Biomedical Research
Switzerland

Digital mobility outcomes for assessing clinical outcomes: The Mobilise-D experience as viewed from pharma and academia

Mobility (such as walking speed) is an important indicator of health, a target for intervention and is what people care about.  Tools to measure mobility are limited and inconsistently applied. A more sophisticated and harmonised approach to capture mobility, when and where it counts (e.g. continuously in the real-world) could stimulate therapeutic development and enhance clinical care.  Digital technology (e.g. wearable devices) together with algorithms to measure digital mobility outcomes are being validated in Mobilise-D in a large global consortia effort. This talk will bring the perspective from pharma and academia together around the topic of mobility as they collaborate to make digital mobility outcome assessment a reality for clinical trials and healthcare.

LinkedIn: https://www.linkedin.com/in/ronennroubenoff/

Jaap H. Van Dieen

Vrije Universiteit Amsterdam
Netherlands

Ambulatory measurement and feedback of low-back load in occupational settings

High mechanical load on the low back in occupational settings is a risk factor for low-back pain. To reduce low-back pain incidence, ambulatory measurements of low-back loads could be used in risk assessment, feedback, and control of exoskeletons. Unfortunately, estimates of low-back loads are at present based on laboratory measurements or imprecise. I will discuss the trade-off between complexity of ambulatory sensor sets used to estimate low back load and precision. In addition, I will present promising results on the effects of feedback and exoskeleton support on low-back loads during lifting.

Website: https://research.vu.nl/en/persons/jaap-van-dieen 

Website: https://amsterdamumc.org/research/institutes/amsterdam-movement-sciences/researchers/jaap-van-dieen.htm 

Twitter: @DieenJaap

Anat Mirelman

Tel Aviv Souraski Medical Center
Israel

Tossing and Turning in Bed: Insights into Parkinson's disease and nocturnal behavior using an IMU and novel EEG "tattoo"

Sleep disturbances are one of the most common non-motor symptoms in PD, with an estimated prevalence as high as 40-90%. Sleep disturbances in PD are an independent risk for cognitive decline and dementia and are increasingly recognized as a major contributor to disease burden and reduced quality of life in PD.

The “gold standard” evaluation of nocturnal sleep is polysomnographic monitoring (PSG). PSG consists of measuring neural function, eye movements and  muscle activity while the person sleeps over-night in a laboratory setting. This assessment allows for quantification of the different sleep stages. However, PSG is time, cost and labor-intensive, may not reflect the typical behavior of the person due to the unfamiliar environment and irregular sleeping conditions, and more importantly, only provides information on one night of sleep. In recent years, there is heightened interest in home-based sleep monitoring via wearable sensors to address these shortcomings. Body-fixed electrophysiological sensors can objectively quantify sleep quality, while IMU sensors can provide a detailed map of the person’s sleeping pattern and nocturnal movements. In this talk, recent discoveries will be presented in this area.

Website: https://www.tasmc.org.il/sites/en/Personnel/Pages/Mirelman-Anat.aspx

TOYIN AJISAFE

National Center for Medical Rehabilitation Research (NCMRR) & Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
USA

Diversity of Opinion as a Starting Point for Increased Transparency and Accessibility in Science

The Advisory Committee to the National Institutes of Health (NIH) Director convened a public forum on February 26, 2021. At the meeting, a new NIH initiative, UNITE, aimed at strengthening diversity, equity, and inclusion was lunched. Recommendations included directly engaging stakeholders, e.g., Minority Serving Institutions, and releasing a series of Funding Opportunity Announcements to help address infrastructure needs and develop progress evaluation tools. This talk will describe the UNITE initiative and present considerations, including health inequities-driving issues around ethical AI and COVID-19 vaccine hesitancy, to underscore why diversity in the biomedical research enterprise cannot be merely aspirational.

Website: https://www.nichd.nih.gov/about/org/ncmrr/ajisafe

GIORGIO QUER

Scripps Research Translational Institute
USA

DETECT COVID-19 with Wearable Sensor Data

Large longitudinal physiological data open new opportunities for exploiting statistical learning in healthcare. Our retrospective study with 100,000 individuals with a personal sensor showed potential in predicting viral infections. Based on these results, we launched DETECT, an app-based, clinical study enrolling 37,000 individuals to determine if individualized tracking of changes in heartrate, activity and sleep can provide early diagnosis for COVID-19. We demonstrated that a combination of symptom and sensor data resulted in an AUC of 0.80 for discriminating between symptomatic individuals testing positive or negative for COVID-19. This continuous, passive system is complementary to virus testing, providing a more frequent risk assessment.

Twitter: @giorgioquer

Linkedin: https://www.linkedin.com/in/giorgioquer/

Inácio Crochemore M da Silva

Federal University of Pelotas
Brazil

OBJECTIVELY MEASURED PHYSICAL ACTIVITY DURING EARLY LIFE TRANSITIONS IN LOW- AND MIDDLE- INCOME SETTING: PERSPECTIVES FROM THE BRAZILIAN BIRTH COHORTS

The first Pelotas (Brazil) Birth Cohort began in 1982, and subsequent studies have been launched every 11 years up to 2015. Since 2010, accelerometer data have been collected in all follow-ups, providing a unique experience of extensive data collection and processing in a low- and middle-income country (>35000 assessments). Methodological aspects address challenges for purchasing devices, data collection logistics, and data processing demanding setting-specific decisions. The descriptive epidemiology of accelerometer data presents different specificities from the global north evidence, such as socioeconomic patterns and meaningful interpretations on physical activity transitions during early childhood, childhood, adolescence, and early adulthood.

Twitter: @inacio_cms 

Alex Clarke-Cornwell

Universtiy of Salford
UK

Get up, stand up: the new normal of home working

As part of the UK Government national restrictions to help stop the spread of coronavirus, employees were encouraged to work at home where possible, and this is where many desk-based workers have been for the past year. These restrictions will undoubtedly have changed people’s participation in their normal daily activities. Many employees will likely continue to work from home for the foreseeable future. This talk will present results from two online surveys that were sent to employees during COVID-19 restrictions to identify any changes in peoples’ daily lifestyle behaviours related to working practices, sitting time, physical activity, and musculoskeletal conditions.

Twitter: @dralexcc

AIDEN DOHERTY

University of Oxford
UK

REPRODUCIBLE MACHINE LEARNING OF MOVEMENT BEHAVIOURS IN UK BIOBANK: WHAT TO DO WHEN YOU HAVE 100,000 PARTICIPANTS?

My group has worked closely with UK Biobank to measure physical activity status in ~100,000 participants who agreed to wear a wrist-worn device for seven days. These measurements are now actively used by epidemiologists worldwide to demonstrate associations between physical activity, sleep, circadian rhythms and disease outcomes. In this talk I will share my group’s work on reproducible machine learning of sleep and physical activity behaviours; and how they are facilitating new genetic and epidemiological insights.

Software associated with published methods is available at https://github.com/activityMonitoring/biobankAccelerometerAnalysis

Website: https://www.bdi.ox.ac.uk/Team/aiden-doherty

Jennifer Schrack

John Hopkins University
USA

Novel application of wearable device data to enhance physical activity research in older adults: is it time to go beyond summary metrics?

Physical activity is a well-established predictor of health and longevity. Wearable accelerometers produce high-frequency, time series data that capture multiple aspects of daily physical activity across the spectrum of intensity. Historically, the majority of accelerometry-based physical activity research has employed summary threshold metrics. Although these measures are important for understanding compliance with physical activity guidelines, they underutilize the potential of this data. Novel, translatable measures of activity quantity and patterns are needed to advance the science of physical activity and create a deeper understanding of the quantities and patterns of daily physical activity most informative for health outcomes.

Website: engageresearchlab.org/
Twitter: @jenschrack

Luigi Ferrucci

National Institute on Aging
USA

Wearable devices in epidemiological studies of aging: current evidence and future potential

The study of mobility is central to understanding the ultimate consequences of aging. In the time course of mobility decline, individuals may implement compensatory strategies that are aimed at maintaining normal mobility function. These strategies can be quite successful for a long time. Current conventional clinical measures of mobility are unable to capture the complexity of these strategies because some of these rely on behavioral and environmental factors that are not reflected in performance-based testing or in self-report questionnaires. Wearable devices bring the assessment of physical activity and mobility to real-life. A sophisticated analysis of the complex signals that they produce can provide novel information of the pathway to mobility loss that may be important to design preventive interventions. This presentation reviews insights gained from using wearable devices in the Baltimore Longitudinal Study of Aging and other epidemiological studies and describes a road-map for future studies of aging.

Website: https://www.nia.nih.gov/about/staff/ferrucci-luigi

Jennifer Goldsack

Digital Medicine Society (DiME)
USA

MEASURING PHYSICAL BEHAVIOR USING DIGITAL SENSORS: CURRENT STATE AND FUTURE PROMISE

The COVID-19 pandemic has driven enormous interest in rapid development of digital measures of health, disease, and behavior. In this digital era of health, what is the responsibility of measurement experts to ensure that decades of expertise in the field remain the bedrock for digital measurements? And what new considerations must be built upon this foundation?

Website: www.dimesociety.org
Twitter: @_DiMeSociety
LinkedIn: https://www.linkedin.com/in/jgoldsack/

Andreas Holtermann

National Research Centre for the Working Envrionment
Denmark

Measurement systems of physical behaviours for surveillance and cohorts: In the making of dreams come true

Valid and meaningful information on physical behaviours (physical activity, sedentary behavior and sleep) is core for research, guidelines and promotion of better health for all. Current measurement systems of physical behaviors are costly and demanding (high burden on both participants/administrators), and less feasible to be implemented in surveillance and large population-based cohorts, including low-and-middle-income countries and other less privileged populations.

In collaboration with the sister ProPASS consortium, we established the SurPASS project, aiming to develop and evaluate a highly automated and low cost physical behavior measurement system which involves minimal administrative and participant burden. Our vision for SurPASS is to make it easier to carry out high-quality research in less privileged populations, and enable prospective physical behaviour data harmonization at large scale globally.

 Twitter: @profHoltermann and @ProPassProject

Masi Mohammadi

Eindhoven University
Netherlands

House as Carer

The greatest promise of our increasingly smart society is to empower us. Smart homes and neighbourhoods are considered as enablers for living comfortably and independently at old age. With emerging technologies, the next stadium of smart homes and neighbourhoods has been introduced. This lecture gives an account of the House-as-Carer: an emotionally intelligent place that ‘knows’ who you are; is able to recognize and interpret your actions and adapts itself to your needs in an emphatic fashion. Such a living environment stimulates and supports the capacity of (older) people (with dementia) to deal with physical, social and emotional challenges in their daily lives.

 

Linkedin https://www.linkedin.com/in/masi-mohammadi-b4b3bbb/?originalSubdomain=nl

Joanne McVeigh

Curtin University
Australia

Longitudinal measurements of physical activity, sedentary behaviour and sleep over critical developmental life stages: Novel insights from the Raine Study

The Raine Study (one of the largest and most successful prospective studies of pregnancy, childhood, adolescence, and now adulthood in the world) possesses both repeated pregnancy data and trends in many important movement behaviours at regular intervals across the past 30 years. Activity behaviours (including TV watching, sports participation and sleep) over critical developmental periods such as childhood and adolescence have been shown to be related to important health outcomes. However, the interplay between these multiple activity behaviours and health outcomes in young adulthood is not well understood. The Raine Study provides a unique opportunity to gain insight into these behaviours over time.

Twitter:  @JoMcV

Jacob J Sosnoff

University of Kansas Medical Center
USA

Smartphones for community-based fall risk assessment

Falls are the leading cause of injury-related death in older adults and are associated with numerous adverse outcomes in other clinical populations. Due to various constraints, objective fall risk screening is seldom performed in clinical settings. Smartphones due to their ubiquitous nature, offer the potential to provide fall risk screening in community settings. In a series of investigations, we have examined the useability, validity, and implementation of smartphone-based approaches to quantify postural control along with other aspects of fall risk in older adults and other clinical populations. The promise and the pitfalls of this approach will be discussed.

Website: Jacob Sosnoff, Ph.D. (kumc.edu) 
Twitter: @JacobSosnoff
LinkedIn: jacob-sosnoff-KUMC

John D. Omura

Centers for Disease Control & Prevension
USA

Progress in modernizing physical activity surveillance data in the US

To come…

Matthew Buman

Arizona State University
USA

Sit Less, Move More, Sleep Better: Using research and consumer wearables in 24-hour behavior change interventions

Rapid advancements in smartphone, wearable, and smart home technologies – coupled with updates to national and global guidelines acknowledging more integration across sleep, sedentary, and physical activity behaviors for optimal health – create new opportunities for innovation in behavior change strategies that target the full spectrum of 24-hour behaviors.  This talk will cover innovative approaches that leverage smartphone and wearable technologies that either singly or in combination target sleep, sedentary, and/or physical activity behaviors and outline an ambitious set of future directions to use technology, algorithms, and behavioral synergies to optimize health outcomes and reduce health disparities.

Website: https://chs.asu.edu/matthew-buman
Twitter: @mbuman 
LinkedIn www.linkedin.com/in/matt-buman

Is it time to wave goodbye to accelerometer thresholds? – A Debate

June 24, 2021 at 8:00am BST 

Stewart Trost

Stewart Trost

Queensland University of Technology

The significant measurement error associated with accelerometer thresholds has significantly hindered research efforts to quantify, understand, and intervene on physical activity (PA). The relationship between accelerometer output and energy expenditure is highly dependent on the activities in the calibration study; and thresholds derived from a single regression model or ROC curve cannot adequately characterise PA intensity across a wide range of free-living activities. Moreover, thresholds applied to wrist accelerometer output do not account for upper limb movements during sedentary activities or light-intensity movement. Studies involving independent samples indicate that threshold approaches misclassify PA intensity 35% to 45% of the time.

Website  https://research.qut.edu.au/peng/cparg/

Mai Chin A Paw

Mai Chin A Paw

Amsterdam UMC

Most users know the limitations of using accelerometer thresholds for physical activity intensity classification. Yet, it remains a popular approach because it is easy to apply and reproduce, while the results are easy to interpret and directly linked to physical activity recommendations. My presentation will elaborate on advantages and challenges of accelerometer thresholds, concluding with recommendations for future research.

Website: http://childhealthcareresearch.org/en/
LinkedIn: linkedin.com/mchinapaw
Twitter: JG_amsumc