Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Ambulatory monitoring in sports: performance evaluation in ski jump
After giving some examples of the use of inertial sensors in sports, ski jumping will be studied based on the motion recorded by a wearable system. This system provides coaches and athletes key metrics related to jump performance. The system was tested by the best athletes of the Swiss ski team and showed a high potential for assessing performance. A user-friendly software interface has been developed mixing common video analysis and the new key performance metrics derived from the wearable system.
Roessingh Research and Development, Enschede, The Netherlands
Fusion - Bridging the gap between laboratory achievements and practical application through instant ambulatory 3D analysis of movement
Technology and methodology of ambulatory 3D analysis of movement based on body mounted sensing is maturing at a promising rate. Still, widespread clinical application has not emerged yet. For this to happen, the next level of combined accuracy, reliability, robustness, practical applicability and evidence supported instant clinical usefulness has to be achieved. The Fusion research consortium (before FreeMotion) of Dutch research institutes and innovative companies aims at facilitating and actively endorsing widespread instant clinical application. Presented are the FUSION approach, research achievements and ambition following an analysis of requirements and illustrated with a series of example studies in rehabilitation, sports and ergonomics.
MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, UK
Objective measurement of physical activity in observational cohort studies; what have we learnt?
Precise measurement of physical activity in epidemiological studies are needed to accurately assess dose-response associations between physical activity and health outcomes, to clarify which dimension of physical activity is most important for a specific health outcome, to monitor temporal trends in population levels of physical activity, and to assess the effect of interventions.
The overall aim with the present talk is to discuss the importance of objective measurements of physical activity in epidemiological studies. Further, results from studies examining the associations between objectively measured physical activity and its sub-components with obesity and metabolic outcomes will be presented.
Associate Professor, Dept. of Rehabilitation Medicine & Physical Therapy, Erasmus MC University Medical Center Rotterdam, The Netherlands
To total amount of activity..... and beyond!
In many studies on physical activity the total amount of activity (e.g. number of activity counts) is the primary outcome measure. It can be questioned, however, whether this outcome is the most valid and sensitive one. Disorders and treatments may influence movement behaviour, but which is not reflected in the total amount of activity. In this presentation an overview will be provided of recent insights on the added value of aspects of movement behaviour that go beyond the total amount of activity.
Karlsruhe Institute of Technology, Karlsruhe, Germany
Interactive Ambulatory Behavior Monitoring - An approach to optimize the sampling strategy in real time
There is a positive relation between activity and mood. Unfortunately, most studies assessing this association relied on subjective ratings of activity and retrospective ratings of mood. Whereas activity can be monitored continuously with a high sampling frequency, mood can only be assessed in discrete intervals. To optimize the assessment of the relation between physical activity and mood, we developed an algorithm which continuously monitored physical activity. When predefined thresholds were surpassed an alarm triggered participants to answer mood questions. Interactive ambulatory behavior monitoring is a promising sampling strategy, especially when analyzing the relation between variables which cannot be measured continuously, like many psychological variables.
School of Health, Glasgow Caledonian University, Glasgow, Scotland
What is important? Extracting relevant outcome measures from free-living behaviour.
The use of ambulatory monitoring devices to collect data on activity and inactivity is becoming widespread, and the data sets obtained are large and relatively complex. At present we are data rich - but we are still information poor. Recent research has started to investigate how we can extract meaningful relevant outcomes from this data. This presentation will explore how it is possible to develop outcome measures tailored to our research questions. Examples will be given from different populations showing how free-living activity data sets can be analysed to produce relevant, meaningful outcomes.
Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
Activity monitoring in older adults with impaired functioning - Challenges and possibilities
Valid information on physical activity in older persons is important for designing exercise interventions aiming at improving physical functioning. Physical activity in old persons with impaired functioning is mostly performed as part of daily life activities, like getting out of bed or up from a chair, standing and walking. Reliable and valid measures of physical activity should therefore capture such aspects. During the talk feasibility of activity monitoring in older persons as well as accuracy and validity of different outcomes will be discussed.
Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, USA
Use of Physical Activity Monitors in Large Epidemiologic Studies: Strengths, Weaknesses, and Strategies to Reduce Measurement Error
Physical activity monitoring systems provide an opportunity to gather more precise estimates of active and sedentary behaviors in disease-association studies, but the strengths of this approach, its inherent weaknesses, and strategies to minimize measurement errors must be considered. The aim of this talk will be to examine the strengths of using physical activity monitors in association studies (e.g., more precise estimates of activity, greater statistical power), discuss the potential weaknesses of such measures (e.g., random and systematic errors), and outline strategies that can be employed to minimize certain types of measurement errors in an effort to provide a better estimate of the true behavior-disease association of interest.
Use of Physical Activity Monitors in Large Epidemiologic Studies: Strengths, Weaknesses, and Strategies to Reduce Measurement Error
Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia
Data fusion of triaxial accelerometry and barometric pressure sensing for falls detection and prevention
Falls-related injuries constitute a significant cause of morbidity and mortality, particularly amongst the elderly population. In recent years, falls detection technologies have become more prevalent. However, there are very few commercially available offerings due to the high incidence of false positive alarms in the unsupervised environment. Our group has been working on the use of altimetry as measured by a barometric pressure sensor, combined with triaxial accelerometry, to significantly improve the reliability of falls detection systems. In addition, we will describe how we have adopted a self-administered directed-routine (DR) comprising three separate tests to provide a means of accurately assessing falls risk in the free-living environment.
Personal Chair, Associate Head of School (Research), Supported by a National Heart Foundation of Australia Career Development Award and sanofi-aventis, Centre for Physical Activity & Nutrition Research (C-PAN), School of Exercise & Nutrition Sciences, Deakin University, Victoria, Australia.
Comparison of sedentary and sitting time using the activPAL, GT3X Actigraph, and observation among children.
Data from several studies will compare the activPAL and Actigraph in terms of children's sedentary/sitting time against observation. One aim is to examine appropriate cutpoints for sedentary time using the Actigraph (eg, <100, <200 counts per minute) compared to sitting time from the activPAL and observation. A second aim is to use observation to validate the activPAL in terms of sitting time, standing time, sustained bouts of sitting, and transitions from sitting to standing among children.
Nick Wareham
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
Objective measurement of physical activity in observational cohort studies; what have we learnt?
Precise measurement of physical activity in epidemiological studies is needed to accurately assess dose-response associations between physical activity and health outcomes, to clarify which dimension of physical activity is most important for a specific health outcome, to monitor temporal trends in population levels of physical activity and to assess the effect of interventions. This talk will discuss the importance of objective measurements of physical activity in epidemiological studies with examples from the study of obesity and metabolic disease.
Center for Human Movement Sciences, University Medical Center Groningen, Groningen, The Netherlands
Can we analyse walking in daily life beyond step counts?
In the last decennium, a number of approaches have been published for assessing spatio-temporal gait parameters based on wearable sensors. The different approaches comprise the use of different sensor types (e.g. the use of motion sensors such as accelerometers and/or gyroscopes), different sensor locations (e.g. a sensor on the foot, shank, thigh, or trunk), and analytic approaches with different assumptions and limitations. A common characteristic of these different methods is that they often are applied under supervised conditions in which the subject under study is instructed to perform a number gait tasks. It is then assumed that the results bear significance for gait performance in daily life. The question is whether similar results would/could have been obtained under unsupervised ‘daily life’ conditions. This talk will address this question by shortly introducing some of the available approaches to assessing spatio-temporal gait parameters, and by presenting gait data of subjects under supervised conditions as well as unsupervised conditions.