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Validation of accelerometers

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https://www.readbyqxmd.com/read/28637603/reliability-and-validity-of-two-multidimensional-self-reported-physical-activity-questionnaires-in-people-with-chronic-low-back-pain
#1
Flávia A Carvalho, Priscila K Morelhão, Marcia R Franco, Chris G Maher, Rob J E M Smeets, Crystian B Oliveira, Ismael F Freitas Júnior, Rafael Z Pinto
BACKGROUND: Although there is some evidence for reliability and validity of self-report physical activity (PA) questionnaires in the general adult population, it is unclear whether we can assume similar measurement properties in people with chronic low back pain (LBP). OBJECTIVE: To determine the test-retest reliability of the International Physical Activity Questionnaire (IPAQ) long-version and the Baecke Physical Activity Questionnaire (BPAQ) and their criterion-related validity against data derived from accelerometers in patients with chronic LBP...
February 2017: Musculoskeletal Science & Practice
https://www.readbyqxmd.com/read/28605252/a-simple-method-for-assessing-upper-limb-force-velocity-profile-in-bench-press
#2
Abderrahmane Rahmani, Pierre Samozino, Jean-Benoit Morin, Baptiste Morel
PURPOSE: 1) to analyze the reliability and validity of a field computation method based on easy-to-measure data to assess the mean force (F̄) and velocity (v̄) produced during a ballistic bench press movement; and 2) to verify that the force-velocity profile (F-v) obtained with multiple loaded trials is accurately described. METHODS: Twelve participants performed ballistic bench press against various lifted mass from 30 to 70% of their body mass. For each trial, F̄ and v̄ were determined from an accelerometer (sampling rate: 500Hz; reference method) and a simple computation method based on upper limb mass, barbell flight height and push-off distance...
June 12, 2017: International Journal of Sports Physiology and Performance
https://www.readbyqxmd.com/read/28604558/generating-actigraph-counts-from-raw-acceleration-recorded-by-an-alternative-monitor
#3
Jan Christian Brønd, Lars Bo Andersen, Daniel Arvidsson
PURPOSE: To implement an aggregation method in Matlab for generating ActiGraph counts from raw acceleration recorded with an alternative accelerometer device and to investigate the validity of the method. METHODS: The aggregation method including the frequency band-pass filter was implemented and optimized based on standardized sinusoidal acceleration signals generated in Matlab and processed in the ActiLife software. Evaluating the validity of the aggregation method was approached using a mechanical setup and with a 24-hour free-living recording using a convenient sample of nine subjects...
June 9, 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28596271/extracting-aerobic-system-dynamics-during-unsupervised-activities-of-daily-living-using-wearable-sensor-machine-learning-models
#4
Thomas Beltrame, Robert Amelard, Alexander Wong, Richard L Hughson
Physical activity levels are related through algorithms to the energetic demand with no information regarding the integrity of the multiple physiological systems involved in the energetic supply. Longitudinal analysis of the oxygen uptake (VO2) by wearable sensors in realistic settings might permit development of a practical tool for the study of the longitudinal aerobic system dynamics (i.e., VO2 kinetics). This study evaluated aerobic system dynamics based on predicted VO2 data obtained from wearable sensors during unsupervised activities of daily living (uADL)...
June 8, 2017: Journal of Applied Physiology
https://www.readbyqxmd.com/read/28594899/validation-of-energy-intake-from-a-web-based-food-recall-for-children-and-adolescents
#5
Anine Christine Medin, Bjørge Herman Hansen, Helene Astrup, Ulf Ekelund, Lene Frost Andersen
The purpose of this study was to validate estimated energy intake from a web-based food recall, designed for children and adolescents. We directly compared energy intake to estimates of total energy expenditure, calculated from accelerometer outputs, combined with data on weight and sex or resting energy expenditure prediction equations. Children (8-9 years) and adolescents (12-14 years) were recruited through schools in Norway in 2013 (N = 253). Results showed that more than one third (36-37%) were identified as under-reporters of energy...
2017: PloS One
https://www.readbyqxmd.com/read/28592241/effect-of-major-school-playground-reconstruction-on-physical-activity-and-sedentary-behaviour-camden-active-spaces
#6
Mark Hamer, Daniel Aggio, Georgina Knock, Courtney Kipps, Aparna Shankar, Lee Smith
BACKGROUND: The physical school environment is a promising setting to increase children's physical activity although robust evidence is sparse. We examined the effects of major playground reconstruction on physical activity and sedentary time in primary schools using a quasi-experimental design (comparison group pre-test/post-test design). METHODS: Five experimental and two control schools from deprived areas of inner city London were recruited at baseline. Main outcome was physical activity and sedentary time measured from objective monitoring (Actigraph accelerometer) at one year follow up...
June 7, 2017: BMC Public Health
https://www.readbyqxmd.com/read/28590432/faller-classification-in-older-adults-using-wearable-sensors-based-on-turn-and-straight-walking-accelerometer-based-features
#7
Dylan Drover, Jennifer Howcroft, Jonathan Kofman, Edward D Lemaire
Faller classification in elderly populations can facilitate preventative care before a fall occurs. A novel wearable-sensor based faller classification method for the elderly was developed using accelerometer-based features from straight walking and turns. Seventy-six older individuals (74.15 ± 7.0 years), categorized as prospective fallers and non-fallers, completed a six-minute walk test with accelerometers attached to their lower legs and pelvis. After segmenting straight and turn sections, cross validation tests were conducted on straight and turn walking features to assess classification performance...
June 7, 2017: Sensors
https://www.readbyqxmd.com/read/28580791/a-study-of-predictive-validity-responsiveness-and-minimal-clinically-important-difference-of-arm-accelerometer-in-real-world-activity-of-patients-with-chronic-stroke
#8
Hao-Ling Chen, Keh-Chung Lin, Yu-Wei Hsieh, Ching-Yi Wu, Rong-Jiuan Liing, Chia-Ling Chen
OBJECTIVE: To investigate the predictive validity, responsiveness, and minimal clinically important difference of arm accelerometer in real-world activity of patients with chronic stroke. DESIGN: Validation and psychometric study. SETTING: Three medical centers. SUBJECTS: Patients with chronic stroke came from three separated randomized controlled trials. INTERVENTIONS: Patients with stroke received upper extremity rehabilitation programs for four weeks...
June 1, 2017: Clinical Rehabilitation
https://www.readbyqxmd.com/read/28580668/changes-in-physical-activity-in-the-school-afterschool-and-evening-periods-during-the-transition-from-elementary-to-middle-school
#9
Erica Y Lau, Marsha Dowda, Kerry L McIver, Russell R Pate
BACKGROUND: We examined longitudinal changes in children's physical activity during the school day, afterschool, and evening across fifth, sixth, and seventh grades. METHODS: The analytical sample included children who had valid accelerometer data in fifth grade and at least one other time-point, and provided complete sociodemographic information (N = 768, 751, and 612 for the 3 time-periods studied). Accelerometer-derived total physical activity (TPA) and moderate-to-vigorous physical activity (MVPA) were expressed in minutes per hour for the school day (∼7:45 am to 3:30 pm), afterschool (∼2:25 to 6:00 pm), and evening (6:00 to 10:00 pm) periods...
July 2017: Journal of School Health
https://www.readbyqxmd.com/read/28578138/static-and-dynamic-validation-of-inertial-measurement-units
#10
Leah Taylor, Emily Miller, Kenton R Kaufman
Optical motion capture systems are used to assess human motion. While these systems provide a reliable analysis, they limit collection to a laboratory based setting. Devices such as Inertial Measurement Units (IMUs) have been developed as alternative tools. Commercially available IMUs are utilized for a variety of applications; however limited work has been done to determine the reliability of these devices. The objective of this study was to assess the accuracy and precision of a commercially available IMU, containing tri-axial accelerometers, gyroscopes, and magnetometers, under controlled static and dynamic conditions...
May 26, 2017: Gait & Posture
https://www.readbyqxmd.com/read/28573938/long-term-gait-pattern-assessment-using-a-tri-axial-accelerometer
#11
Francesca De Cillis, Francesca De Simio, Roberto Setola
In this article, we present a pervasive solution for gait pattern classification that uses accelerometer data retrieved from a waist-mounted inertial sensor. The proposed algorithm has been conceived to operate continuously for long-term applications. With respect to traditional approaches that use a large number of features and sophisticated classifiers, our solution is able to assess four different gait patterns (standing, level walking, stair ascending and descending) by using three features and a decision tree...
July 2017: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/28570570/a-machine-learning-approach-for-gait-speed-estimation-using-skin-mounted-wearable-sensors-from-healthy-controls-to-individuals-with-multiple-sclerosis
#12
Ryan S McGinnis, Nikhil Mahadevan, Yaejin Moon, Kirsten Seagers, Nirav Sheth, John A Wright, Steven DiCristofaro, Ikaro Silva, Elise Jortberg, Melissa Ceruolo, Jesus A Pindado, Jacob Sosnoff, Roozbeh Ghaffari, Shyamal Patel
Gait speed is a powerful clinical marker for mobility impairment in patients suffering from neurological disorders. However, assessment of gait speed in coordination with delivery of comprehensive care is usually constrained to clinical environments and is often limited due to mounting demands on the availability of trained clinical staff. These limitations in assessment design could give rise to poor ecological validity and limited ability to tailor interventions to individual patients. Recent advances in wearable sensor technologies have fostered the development of new methods for monitoring parameters that characterize mobility impairment, such as gait speed, outside the clinic, and therefore address many of the limitations associated with clinical assessments...
2017: PloS One
https://www.readbyqxmd.com/read/28569163/validity-of-the-nurses-health-study-physical-activity-questionnaire-in-estimating-physical-activity-in-adults-with-rheumatoid-arthritis
#13
Thomas Quinn, Michelle Frits Bs, Johan von Heideken, Christine Iannaccone, Nancy A Shadick, Michael Weinblatt, Maura D Iversen
BACKGROUND: Patients with rheumatoid arthritis (RA) demonstrate reduced aerobic capacity, excess cardiovascular risk, mobility limitations and are less physically active than their healthy peers. Physical activity may decrease RA disease activity through its anti-inflammatory effects and psychological and health benefits. To successfully manage RA symptoms and reduce cardiovascular risks associated with RA through increased physical activity (PA), accurate physical activity assessments are critical...
May 31, 2017: BMC Musculoskeletal Disorders
https://www.readbyqxmd.com/read/28566264/understanding-environmental-and-contextual-influences-of-physical-activity-during-first-year-university-the-feasibility-of-using-ecological-momentary-assessment-in-the-movingu-study
#14
Chloe Bedard, Sara King-Dowling, Madeline McDonald, Genevieve Dunton, John Cairney, Matthew Kwan
BACKGROUND: It is well established that drastic declines in physical activity (PA) occur during young adults' transition into university; however, our understanding of contextual and environmental factors as it relates to young adults' PA is limited. OBJECTIVE: The purpose of our study was to examine the feasibility of using wrist-worn accelerometers and the use of ecological momentary assessment (EMA) to assess the context and momentary correlates of PA on multiple occasions each day during first-year university...
May 31, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28566263/preventive-care-infrastructure-based-on-ubiquitous-sensing-precious-a-study-protocol
#15
Carmina Castellano-Tejedor, Jordi Moreno, Andrea Ciudin, Gemma Parramón, Pilar Lusilla-Palacios
BACKGROUND: mHealth has experienced a huge growth during the last decade. It has been presented as a new and promising pathway to increase self-management of health and chronic conditions in several populations. One of the most prolific areas of mHealth has been healthy lifestyles promotion. However, few mobile apps have succeeded in engaging people and ensuring sustained use. OBJECTIVE: This paper describes the pilot test protocol of the PReventive Care Infrastructure based on Ubiquitous Sensing (PRECIOUS) project, aimed at validating the PRECIOUS system with end users...
May 31, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28560892/self-reported-versus-accelerometer-assessed-daily-physical-activity-in-childhood-obesity-treatment
#16
Theresia M Schnurr, Bianca Bech, Tenna R H Nielsen, Ida G Andersen, Mads F Hjorth, Mette Aadahl, Cilius E Fonvig, Torben Hansen, Jens-Christian Holm
We investigated the relationship between interview-based subjective ratings of physical activity (PA) engagement and accelerometer-assessed objective measured PA in children and adolescents with overweight or obesity. A total of 92 children and adolescents (40 males, 52 females) with BMI ≥ 90th percentile for sex and age, aged 5-17 years had valid GT3X + accelerometer-assessed PA and interview-assessed self-reported information on PA engagement at the time of enrollment in a multidisciplinary outpatient tertiary treatment for childhood obesity...
January 1, 2017: Perceptual and Motor Skills
https://www.readbyqxmd.com/read/28559229/design-and-evaluation-of-a-computer-based-24-hour-physical-activity-recall-cpar24-instrument
#17
Simone Kohler, Gundula Behrens, Matthias Olden, Sebastian E Baumeister, Alexander Horsch, Beate Fischer, Michael F Leitzmann
BACKGROUND: Widespread access to the Internet and an increasing number of Internet users offers the opportunity of using Web-based recalls to collect detailed physical activity data in epidemiologic studies. OBJECTIVE: The aim of this investigation was to evaluate the validity and reliability of a computer-based 24-hour physical activity recall (cpar24) instrument with respect to the recalled 24-h period. METHODS: A random sample of 67 German residents aged 22 to 70 years was instructed to wear an ActiGraph GT3X+ accelerometer for 3 days...
May 30, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28552977/validity-and-responsiveness-of-the-global-physical-activity-questionnaire-gpaq-in-assessing-physical-activity-during-pregnancy
#18
Estelle D Watson, Lisa K Micklesfield, Mireille N M van Poppel, Shane A Norris, Matteo C Sattler, Pavel Dietz
The physiological and biomechanical changes that occur during pregnancy make accurate measurement of physical activity (PA) a challenge during this unique period. The Global Physical Activity Questionnaire (GPAQ) has been used extensively in low-to-middle income countries, but has never been validated in a pregnant population. In this longitudinal study, 95 pregnant women (mean age: 29.5±5.7 years; BMI: 26.9±5.0 kg/m2) completed the GPAQ and were asked to wear an accelerometer for 7 days at two time points during pregnancy (14-18 and 29-33 weeks gestation)...
2017: PloS One
https://www.readbyqxmd.com/read/28552969/automatic-adventitious-respiratory-sound-analysis-a-systematic-review
#19
Renard Xaviero Adhi Pramono, Stuart Bowyer, Esther Rodriguez-Villegas
BACKGROUND: Automatic detection or classification of adventitious sounds is useful to assist physicians in diagnosing or monitoring diseases such as asthma, Chronic Obstructive Pulmonary Disease (COPD), and pneumonia. While computerised respiratory sound analysis, specifically for the detection or classification of adventitious sounds, has recently been the focus of an increasing number of studies, a standardised approach and comparison has not been well established. OBJECTIVE: To provide a review of existing algorithms for the detection or classification of adventitious respiratory sounds...
2017: PloS One
https://www.readbyqxmd.com/read/28546137/activity-recognition-for-persons-with-stroke-using-mobile-phone-technology-toward-improved-performance-in-a-home-setting
#20
Megan K O'Brien, Nicholas Shawen, Chaithanya K Mummidisetty, Saninder Kaur, Xiao Bo, Christian Poellabauer, Konrad Kording, Arun Jayaraman
BACKGROUND: Smartphones contain sensors that measure movement-related data, making them promising tools for monitoring physical activity after a stroke. Activity recognition (AR) systems are typically trained on movement data from healthy individuals collected in a laboratory setting. However, movement patterns change after a stroke (eg, gait impairment), and activities may be performed differently at home than in a lab. Thus, it is important to validate AR for gait-impaired stroke patients in a home setting for accurate clinical predictions...
May 25, 2017: Journal of Medical Internet Research
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