A new way of assessing arm function in activity using kinematic Exposure Variation Analysis and portable inertial sensors – A validity study

2016 ◽  
Vol 21 ◽  
pp. 241-249 ◽  
Author(s):  
Per Ertzgaard ◽  
Fredrik Öhberg ◽  
Björn Gerdle ◽  
Helena Grip
Keyword(s):  
Inertial Sensors ◽  
Validity Study ◽  
Variation Analysis ◽  
Exposure Variation Analysis ◽  
Arm Function

Development of three-dimensional shoulder kinematic and electromyographic exposure variation analysis methodology in violin musicians

Ergonomics ◽  
2014 ◽  
Vol 57 (7) ◽  
pp. 1021-1039 ◽  
Author(s):  
Jonathan F. Reynolds ◽  
Robert E. Leduc ◽  
Emily K. Kahnert ◽  
Paula M. Ludewig
Keyword(s):  
Three Dimensional ◽  
Variation Analysis ◽  
Analysis Methodology ◽  
Exposure Variation Analysis

scholarly journals Capturing the Pattern of Physical Activity and Sedentary Behavior: Exposure Variation Analysis of Accelerometer Data

2014 ◽  
Vol 11 (3) ◽  
pp. 614-625 ◽  
Author(s):  
Leon Straker ◽  
Amity Campbell ◽  
Svend Erik Mathiassen ◽  
Rebecca Anne Abbott ◽  
Sharon Parry ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Public Health Research ◽  
Office Workers ◽  
Accelerometer Data ◽  
Variation Analysis ◽  
Occupational Groups ◽  
Time Pattern ◽  
Exposure Variation Analysis ◽  
First Time

Background:Capturing the complex time pattern of physical activity (PA) and sedentary behavior (SB) using accelerometry remains a challenge. Research from occupational health suggests exposure variation analysis (EVA) could provide a meaningful tool. This paper (1) explains the application of EVA to accelerometer data, (2) demonstrates how EVA thresholds and derivatives could be chosen and used to examine adherence to PA and SB guidelines, and (3) explores the validity of EVA outputs.Methods:EVA outputs are compared with accelerometer data from 4 individuals (Study 1a and1b) and 3 occupational groups (Study 2): seated workstation office workers (n = 8), standing workstation office workers (n = 8), and teachers (n = 8).Results:Line graphs and related EVA graphs highlight the use of EVA derivatives for examining compliance with guidelines. EVA derivatives of occupational groups confirm no difference in bouts of activity but clear differences as expected in extended bouts of SB and brief bursts of activity, thus providing evidence of construct validity.Conclusions:EVA offers a unique and comprehensive generic method that is able, for the first time, to capture the time pattern (both frequency and intensity) of PA and SB, which can be tailored for both occupational and public health research.

scholarly journals It’s A-bout Time: Detailed Patterns of Physical Activity in Obese Adolescents Participating in a Lifestyle Intervention

2015 ◽  
Vol 12 (11) ◽  
pp. 1453-1460 ◽  
Author(s):  
Erin Kaye Howie ◽  
Timothy Olds ◽  
Joanne A. McVeigh ◽  
Rebecca A. Abbott ◽  
Leon Straker
Keyword(s):  
Physical Activity ◽  
Lifestyle Intervention ◽  
Sedentary Time ◽  
Activity Patterns ◽  
Lower Percentage ◽  
Moderate Activity ◽  
Variation Analysis ◽  
Sedentary Behaviors ◽  
Obese Adolescents ◽  
Exposure Variation Analysis

Background:The detailed patterns of physical activity and sedentary behaviors of overweight and obese adolescents are unknown, but may be important for health outcomes and targeted intervention design.Methods:Participants completed Curtin University’s Activity, Food and Attitudes Program (CAFAP), an 8-week intervention with 12 months of maintenance intervention. Physical activity and sedentary time were assessed at 6 time periods with accelerometers and were analyzed by 1) time and type of day, 2) intensity bout patterns using exposure variation analysis, and 3) individual case analysis.Results:Participants (n = 56) spent a lower percentage of time at baseline in light activity during school days compared with weekend days (24.4% vs 29.0%, P = .004). The majority of time was in long uninterrupted sedentary bouts of greater than 30 minutes (26.7% of total time, 36.8% of sedentary time at baseline). Moderate activity was accumulated in short bouts of less than 5 minutes (3.1% of total time, 76.0% moderate time). Changes varied by individuals.Conclusions:Exposure variation analysis revealed specific changes in activity patterns in overweight and obese adolescents who participated in a lifestyle intervention. A better understanding of these patterns can help to design interventions that meaningfully affect specific behaviors, with unique health consequences.

scholarly journals Cluster-based exposure variation analysis

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Afshin Samani ◽  
Svend Erik Mathiassen ◽  
Pascal Madeleine
Keyword(s):  
Variation Analysis ◽  
Exposure Variation Analysis

scholarly journals Portable Sensors Add Reliable Kinematic Measures to the Assessment of Upper Extremity Function

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1241 ◽  
Author(s):  
Fredrik Öhberg ◽  
Tomas Bäcklund ◽  
Nina Sundström ◽  
Helena Grip
Keyword(s):  
Cycle Time ◽  
Inertial Sensors ◽  
Axial Rotation ◽  
Time Range ◽  
Good Reliability ◽  
Rater Reliability ◽  
Flexion Extension ◽  
Arm Function ◽  
Kinematic Measures ◽  
Overall Reliability

Ordinal scales with low resolution are used to assess arm function in clinic. These scales may be improved by adding objective kinematic measures. The aim was to analyze within-subject, inter-rater and overall reliability (i.e., including within-subject and inter-rater reliability) and check the system’s validity of kinematic measures from inertial sensors for two such protocols on one person. Twenty healthy volunteers repeatedly performed two tasks, finger-to-nose and drinking, during two test sessions with two different raters. Five inertial sensors, on the forearms, upper arms and xiphoid process were used. Comparisons against an optical camera system evaluated the measurement validity. Cycle time, range of motion (ROM) in shoulder and elbow were calculated. Bland–Altman plots and linear mixed models including the generalizability (G) coefficient evaluated the reliability of the measures. Within-subject reliability was good to excellent in both tests (G = 0.80–0.97) and may serve as a baseline when assessing upper extremities in future patient groups. Overall reliability was acceptable to excellent (G = 0.77–0.94) for all parameters except elbow axial rotation in finger-to-nose task and both elbow axial rotation and flexion/extension in drinking task, mainly due to poor inter-rater reliability in these parameters. The low to good reliability for elbow ROM probably relates to high within-subject variability. The sensors provided good to excellent measures of cycle time and shoulder ROM in non-disabled individuals and thus have the potential to improve today’s assessment of arm function.

Differences in trapezius muscle activation patterns in office workers with and without chronic neck-shoulder pain, as quantified through exposure variation analysis

2018 ◽  
Vol 62 (1) ◽  
pp. 962-966
Author(s):  
Denean Kelson ◽  
Divya Srinivasan ◽  
Svend Erik Mathiassen
Keyword(s):  
Chronic Pain ◽  
Shoulder Pain ◽  
Muscle Activation ◽  
Trapezius Muscle ◽  
Variation Analysis ◽  
Activation Patterns ◽  
Muscle Activation Patterns ◽  
Upper Trapezius ◽  
Exposure Variation Analysis ◽  
And Control

The purpose of this study was to quantify upper-trapezius muscle activation patterns using exposure variation analysis (EVA) in healthy computer workers and those with chronic neck-shoulder pain. Eight healthy and five chronic pain participants were asked to complete three computer-based tasks (TYPE, CLICK, and FORM) in two pacing conditions (self-paced and control-paced). EVA was used to quantify variation using five amplitude classes and five duration classes. Performance in each task was also quantified. Healthy workers and those with chronic pain did not differ in performance, and they both exhibited similarly low levels of muscle activation amplitude. Pain participants, however, were found to spend less time in lower duration classes across tasks and conditions. These results indicate that individuals with chronic neck-shoulder pain utilize movement strategies involving sustained durations of continuous muscle activation. This may be suggestive of decreased temporal variation in muscle activation patterns in those with chronic pain.

Objective time-binning in exposure variation analysis

2012 ◽  
Vol 24 (3) ◽  
pp. 269-282 ◽  
Author(s):  
L. Passfield ◽  
K. C. Dietz ◽  
J. G. Hopker ◽  
S. A. Jobson
Keyword(s):  
Variation Analysis ◽  
Objective Time ◽  
Exposure Variation Analysis
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