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Articoli di riviste sul tema "Accelerometry"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Roth, Marilyn A., and Jennifer S. Mindell. "Who Provides Accelerometry Data? Correlates of Adherence to Wearing an Accelerometry Motion Sensor: The 2008 Health Survey for England." Journal of Physical Activity and Health 10, no. 1 (2013): 70–78. http://dx.doi.org/10.1123/jpah.10.1.70.

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Background:Use of objective physical activity measures is rising. We investigated the representativeness of survey participants who wore an accelerometer.Methods:4273 adults aged 16+ from a cross-sectional survey of a random, nationally representative general population sample in England in 2008 were categorized as 1) provided sufficient accelerometry data [4−7 valid days (10+ hrs/d), n = 1724], 2) less than that (n = 237), or 3) declined (n = 302). Multinomial logistic regression identified demographic, socioeconomic, health, lifestyle, and biological correlates of participants in these latte

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Evenson, Kelly R., Elissa Scherer, Kennedy M. Peter, Carmen C. Cuthbertson, and Stephanie Eckman. "Historical development of accelerometry measures and methods for physical activity and sedentary behavior research worldwide: A scoping review of observational studies of adults." PLOS ONE 17, no. 11 (2022): e0276890. http://dx.doi.org/10.1371/journal.pone.0276890.

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This scoping review identified observational studies of adults that utilized accelerometry to assess physical activity and sedentary behavior. Key elements on accelerometry data collection were abstracted to describe current practices and completeness of reporting. We searched three databases (PubMed, Web of Science, and SPORTDiscus) on June 1, 2021 for articles published up to that date. We included studies of non-institutionalized adults with an analytic sample size of at least 500. The search returned 5686 unique records. After reviewing 1027 full-text publications, we identified and abstra

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Bolton, Samantha, Nick Cave, Naomi Cogger, and G. R. Colborne. "Use of a Collar-Mounted Triaxial Accelerometer to Predict Speed and Gait in Dogs." Animals 11, no. 5 (2021): 1262. http://dx.doi.org/10.3390/ani11051262.

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Accelerometry has been used to measure treatment efficacy in dogs with osteoarthritis, although interpretation is difficult. Simplification of the output into speed or gait categories could simplify interpretation. We aimed to determine whether collar-mounted accelerometry could estimate the speed and categorise dogs’ gait on a treadmill. Eight Huntaway dogs were fitted with a triaxial accelerometer and then recorded using high-speed video on a treadmill at a slow and fast walk, trot, and canter. The accelerometer data (delta-G) was aligned with the video data and records of the treadmill spee

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Gewolb, Ira H., and Frank L. Vice. "Use of a non-invasive accelerometric method for diagnosing gastroesophageal reflux in premature infants." Journal of Perinatology 41, no. 8 (2021): 1879–85. http://dx.doi.org/10.1038/s41372-021-01034-5.

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Abstract Objective To evaluate the clinical usefulness of a non-invasive accelerometric device to diagnose GER in preterm babies. Study design An accelerometer was taped over the sub-xiphoid process in 110 preterm (GA 29.6 ± 3.3 wk) infants (133 studies). Low frequency, sub-audible signals were captured via digital recording (sampling rate 200 Hz), then re-sampled (rate = 60 Hz) to create a spectrogram (focused range 0–30 Hz). Mean amplitude in the focused range was calculated. Results Of 85 studies with simultaneous pH-metry and accelerometry, 18 had concurrent positive and 23 had concurrent

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5

Sjöros, Tanja, Henri Vähä-Ypyä, Saara Laine, et al. "Influence of the Duration and Timing of Data Collection on Accelerometer-Measured Physical Activity, Sedentary Time and Associated Insulin Resistance." International Journal of Environmental Research and Public Health 18, no. 9 (2021): 4950. http://dx.doi.org/10.3390/ijerph18094950.

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Accelerometry is a commonly used method to determine physical activity in clinical studies, but the duration and timing of measurement have seldom been addressed. We aimed to evaluate possible changes in the measured outcomes and associations with insulin resistance during four weeks of accelerometry data collection. This study included 143 participants (median age of 59 (IQR9) years; mean BMI of 30.7 (SD4) kg/m2; 41 men). Sedentary and standing time, breaks in sedentary time, and different intensities of physical activity were measured with hip-worn accelerometers. Differences in the accelero

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6

Wainberg, Michael, Samuel E. Jones, Lindsay Melhuish Beaupre, et al. "Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank." PLOS Medicine 18, no. 10 (2021): e1003782. http://dx.doi.org/10.1371/journal.pmed.1003782.

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Background Sleep problems are both symptoms of and modifiable risk factors for many psychiatric disorders. Wrist-worn accelerometers enable objective measurement of sleep at scale. Here, we aimed to examine the association of accelerometer-derived sleep measures with psychiatric diagnoses and polygenic risk scores in a large community-based cohort. Methods and findings In this post hoc cross-sectional analysis of the UK Biobank cohort, 10 interpretable sleep measures—bedtime, wake-up time, sleep duration, wake after sleep onset, sleep efficiency, number of awakenings, duration of longest sleep

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Kwon, Soyang, Patricia Zavos, Katherine Nickele, Albert Sugianto, and Mark V. Albert. "Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities." International Journal of Environmental Research and Public Health 16, no. 14 (2019): 2598. http://dx.doi.org/10.3390/ijerph16142598.

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Although accelerometry data are widely utilized to estimate physical activity and sedentary behavior among children age 3 years or older, for toddlers age 1 and 2 year(s), accelerometry data recorded during such behaviors have been far less examined. In particular, toddler’s unique behaviors, such as riding in a stroller or being carried by an adult, have not yet been examined. The objective of this study was to describe accelerometry signal outputs recorded during participation in nine types of behaviors (i.e., running, walking, climbing up/down, crawling, riding a ride-on toy, standing, sitt

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8

Oliver, Melody, Hannah Badland, Suzanne Mavoa, Mitch J. Duncan, and Scott Duncan. "Combining GPS, GIS, and Accelerometry: Methodological Issues in the Assessment of Location and Intensity of Travel Behaviors." Journal of Physical Activity and Health 7, no. 1 (2010): 102–8. http://dx.doi.org/10.1123/jpah.7.1.102.

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Background:Global positioning systems (GPS), geographic information systems (GIS), and accelerometers are powerful tools to explain activity within a built environment, yet little integration of these tools has taken place. This study aimed to assess the feasibility of combining GPS, GIS, and accelerometry to understand transport-related physical activity (TPA) in adults.Methods:Forty adults wore an accelerometer and portable GPS unit over 7 consecutive days and completed a demographics questionnaire and 7-day travel log. Accelerometer and GPS data were extracted for commutes to/from workplace

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Nedergaard, Niels J., Mark A. Robinson, Elena Eusterwiemann, Barry Drust, Paulo J. Lisboa, and Jos Vanrenterghem. "The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements." International Journal of Sports Physiology and Performance 12, no. 1 (2017): 18–26. http://dx.doi.org/10.1123/ijspp.2015-0712.

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Purpose:To investigate the relationship between whole-body accelerations and body-worn accelerometry during team-sport movements.Methods:Twenty male team-sport players performed forward running and anticipated 45° and 90° side-cuts at approach speeds of 2, 3, 4, and 5 m/s. Whole-body center-of-mass (CoM) accelerations were determined from ground-reaction forces collected from 1 foot–ground contact, and segmental accelerations were measured from a commercial GPS accelerometer unit on the upper trunk. Three higher-specification accelerometers were also positioned on the GPS unit, the dorsal aspe

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Schrack, Jennifer, and Amal Wanigatunga. "MOVING, THINKING, AND SLEEPING: NOVEL INSIGHTS INTO PHYSICAL AND COGNITIVE HEALTH FROM ACCELEROMETRY DATA." Innovation in Aging 6, Supplement_1 (2022): 330. http://dx.doi.org/10.1093/geroni/igac059.1303.

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Abstract Physical activity and sleep are well-established predictors of health and longevity with aging. Wrist accelerometers, that produce high-frequency time series data, capture multiple aspects of daily physical activity and sleep 24-hours/day. Historically, the majority of accelerometry-based activity research has employed summary metrics to understand the associations of total daily physical activity and sleep with physical and cognitive health. Although these measures are important for understanding conformity with physical activity and sleep recommendations, they underutilize the poten

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11

Kalisch, Tobias, Christoph Theil, Georg Gosheger, Thomas Ackmann, Isabell Schoenhals, and Burkhard Moellenbeck. "Measuring sedentary behavior using waist- and thigh-worn accelerometers and inclinometers – are the results comparable?" Therapeutic Advances in Musculoskeletal Disease 14 (January 2022): 1759720X2210792. http://dx.doi.org/10.1177/1759720x221079256.

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Background: Objective sensor-based quantification of sedentary behavior is an important tool for planning and evaluating interventions for excessive sedentary behavior in patients with musculoskeletal diseases. Although waist-worn accelerometers are the standard for physical activity (PA) assessment, only thigh-worn inclinometers can clearly distinguish sedentary behavior from any light PA or standing activity. Methods: In this study, 53 adults (ages 20–85 years) wore two ActiGraph wGT3X-BT monitors, each containing an inclinometer and accelerometer (set for acquisition of slow movements in al

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Kelly, Louise A., John J. Reilly, Sheila C. Fairweather, Sarah Barrie, Stanley Grant, and James Y. Paton. "Comparison of Two Accelerometers for Assessment of Physical Activity in Preschool Children." Pediatric Exercise Science 16, no. 4 (2004): 324–33. http://dx.doi.org/10.1123/pes.16.4.324.

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The primary aim of this study was to test the validity of two accelerometers, CSA/MTI WAM-7164 and Actiwatch®, against direct observation of physical activity using the Children’s Physical Activity Form (CPAF). CSA/MTI WAM-7164 and Actiwatch accelerometers simultaneously measured activity during structured-play classes in 3- to 4-year olds. Accelerometry output was synchronized to CPAF assessments of physical activity in 78 children. Rank order correlations between accelerometry and direct observation evaluated the ability of the accelerometers to assess total physical activity. Within-child m

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Crane, Tracy E., Meghan B. Skiba, Austin Miller, David O. Garcia, and Cynthia A. Thomson. "Development and Evaluation of an Accelerometer-Based Protocol for Measuring Physical Activity Levels in Cancer Survivors: Development and Usability Study." JMIR mHealth and uHealth 8, no. 9 (2020): e18491. http://dx.doi.org/10.2196/18491.

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Background The collection of self-reported physical activity using validated questionnaires has known bias and measurement error. Objective Accelerometry, an objective measure of daily activity, increases the rigor and accuracy of physical activity measurements. Here, we describe the methodology and related protocols for accelerometry data collection and quality assurance using the Actigraph GT9X accelerometer data collection in a convenience sample of ovarian cancer survivors enrolled in GOG/NRG 0225, a 24-month randomized controlled trial of diet and physical activity intervention versus att

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Clark, Cain C. T., Claire M. Barnes, Mark Holton, Huw D. Summers, and Gareth Stratton. "SlamTracker Accuracy under Static and Controlled Movement Conditions." Sport Science Review 25, no. 5-6 (2016): 374–83. http://dx.doi.org/10.1515/ssr-2016-0020.

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Abstract Accelerometry is the de facto standard in objective physical activity monitoring. However traditional accelerometer units undergo proprietary pre-processing, resulting in the ‘black-box’ phenomenon, where researchers are unaware of the processes and filters used on their data. Raw accelerometers where all frequencies related to human movement are included in the signal, would facilitate novel analyses, such as frequency domain analysis and pattern recognition. The aim of this study was to quantify the mean, standard deviation and variance of the SlamTracker raw accelerometer at a rang

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Kelly, Stephen J., Aron J. Murphy, Mark L. Watsford, Damien Austin, and Michael Rennie. "Reliability and Validity of Sports Accelerometers During Static and Dynamic Testing." International Journal of Sports Physiology and Performance 10, no. 1 (2015): 106–11. http://dx.doi.org/10.1123/ijspp.2013-0408.

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Purpose:To investigate the validity and reliability of accelerometry of the SPI-ProX II dual data logger (GPSports, Canberra, Australia).Methods:Controlled laboratory assessments determined the accuracy and reproducibility of raw accelerometer data. Intra- and interdevice reliability assessed the ability of the SPI-ProX II accelerometers to repeatedly measure peak gravitational accelerations (g) during impact-based testing. Static and dynamic validity testing assessed the accuracy of SPI-ProX II accelerometers against a criterion-referenced accelerometer. Dynamic validity was assessed over a r

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Ortolá, Rosario, Esther García-Esquinas, Verónica Cabanas-Sánchez, Jairo H. Migueles, David Martínez-Gómez, and Fernando Rodríguez-Artalejo. "Association of Physical Activity, Sedentary Behavior, and Sleep With Unhealthy Aging: Consistent Results for Device-Measured and Self-reported Behaviors Using Isotemporal Substitution Models." Journals of Gerontology: Series A 76, no. 1 (2020): 85–94. http://dx.doi.org/10.1093/gerona/glaa177.

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Abstract Background We examined the association of time allocation among physical activity (PA), sedentary behavior (SB), and sleep with unhealthy aging (UA), using both accelerometry and self-reports. Method We used cross-sectional data from 2312 individuals aged 65 years and older. Physical activity, SB, and sleep were ascertained by both wrist accelerometers and validated questionnaires, and UA was measured with a 52-item health-deficit accumulation index. Analyses used isotemporal substitution linear regression models. Results Less deficit accumulation was observed when the distribution of

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Clark, Emma L. M., Lauren D. Gulley, Allison M. Hilkin, et al. "Feasibility and Acceptability of Accelerometer Measurement of Physical Activity in Pregnant Adolescents." International Journal of Environmental Research and Public Health 18, no. 5 (2021): 2216. http://dx.doi.org/10.3390/ijerph18052216.

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During pregnancy, physical activity relates to better maternal and child mental and physical health. Accelerometry is thought to be effective for assessing free-living physical activity, but the feasibility/acceptability of accelerometer use in pregnant adolescents has not been reported. In this short communication, we conducted secondary analysis of a small pilot study to describe the feasibility/acceptability of accelerometry in pregnant adolescents and the preliminary results of physical activity characteristics. Participants were recruited from a multidisciplinary adolescent perinatal clin

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Moore, Ryan, Kristin R. Archer, and Leena Choi. "Statistical and Machine Learning Models for Classification of Human Wear and Delivery Days in Accelerometry Data." Sensors 21, no. 8 (2021): 2726. http://dx.doi.org/10.3390/s21082726.

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Accelerometers are increasingly being used in biomedical research, but the analysis of accelerometry data is often complicated by both the massive size of the datasets and the collection of unwanted data from the process of delivery to study participants. Current methods for removing delivery data involve arduous manual review of dense datasets. We aimed to develop models for the classification of days in accelerometry data as activity from human wear or the delivery process. These models can be used to automate the cleaning of accelerometry datasets that are adulterated with activity from del

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Brown, Barbara B., and Carol M. Werner. "Using Accelerometer Feedback to Identify Walking Destinations, Activity Overestimates, and Stealth Exercise in Obese and Nonobese Individuals." Journal of Physical Activity and Health 5, no. 6 (2008): 882–93. http://dx.doi.org/10.1123/jpah.5.6.882.

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Background:Accelerometer output feedback might enable assessment of recall biases for moderate bouts by obese and nonobese individuals; accelerometry might also help residents recall destinations for moderate-intensity walking bouts.Methods:Adult residents’ 1-week accelerometer-measured physical activity and obesity status were measured before and after a new rail stop opened (n = 51 Time 1; n = 47 Time 2). Participants recalled the week’s walking bouts, described them as brisk (moderate) or not, and reported a rail stop destination or not.Results:At the end of the week, we provided accelerome

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O’Halloran, Paul, Courtney Sullivan, Kiera Staley, et al. "Measuring change in adolescent physical activity: Responsiveness of a single item." PLOS ONE 17, no. 6 (2022): e0268459. http://dx.doi.org/10.1371/journal.pone.0268459.

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Self-report measures are frequently used to assess change in physical activity (PA) levels. Given the limited data from adolescent populations, the primary objective of this study was to examine the responsiveness of a single item measure (SIM) of PA for adolescents to detect change in moderate-to-vigorous physical activity (MVPA) using accelerometer data as the reference measure. A secondary objective was to provide further data on the validity of the measure at one point in time. The validity of the SIM to determine the number of days ≥60 minutes of MVPA was based on data from 200 participan

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Ullrich, Antje, Sophie Baumann, Lisa Voigt, Ulrich John, and Sabina Ulbricht. "Measurement Reactivity of Accelerometer-Based Sedentary Behavior and Physical Activity in 2 Assessment Periods." Journal of Physical Activity and Health 18, no. 2 (2021): 185–91. http://dx.doi.org/10.1123/jpah.2020-0331.

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Background: The purposes of this study were to examine accelerometer measurement reactivity (AMR) in sedentary behavior (SB), physical activity (PA), and accelerometer wear time in 2 measurement periods and to quantify AMR as a human-related source of bias for the reproducibility of SB and PA estimates. Methods: In total, 136 participants (65% women, mean age = 54.6 y) received 7-day accelerometry at the baseline and after 12 months. Latent growth models were used to identify AMR. Intraclass correlations were calculated to examine the reproducibility using 2-level mixed-effects linear regressi

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Stevens, Matthew L., Nidhi Gupta, Elif Inan Eroglu, et al. "Thigh-worn accelerometry for measuring movement and posture across the 24-hour cycle: a scoping review and expert statement." BMJ Open Sport & Exercise Medicine 6, no. 1 (2020): e000874. http://dx.doi.org/10.1136/bmjsem-2020-000874.

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IntroductionThe Prospective Physical Activity Sitting and Sleep consortium (ProPASS) is an international collaboration platform committed to harmonise thigh-worn accelerometry data. The aim of this paper is to (1) outline observational thigh-worn accelerometry studies and (2) summarise key strategic directions arising from the inaugural ProPASS meeting.Methods(1) We performed a systematic scoping review for observational studies of thigh-worn triaxial accelerometers in free-living adults (n≥100, 24 hours monitoring protocols). (2)Attendees of the inaugural ProPASS meeting were sent a survey fo

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Han, Bing, Lilian Perez, Deborah A. Cohen, Rachana Seelam, and Kathryn P. Derose. "Influence of pre-processing criteria on analysis of accelerometry-based physical activity." PLOS ONE 20, no. 1 (2025): e0316357. https://doi.org/10.1371/journal.pone.0316357.

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Background Accelerometers are widely adopted for physical activity (PA) measurement. Accelerometry data require pre-processing before entering formal statistical analyses. Many pre-processing criteria may influence PA outcomes and the processed sample, impacting results in subsequent statistical analyses. Aim To study the implications of pre-processing criteria for accelerometer data on outputs of interest in physical activity studies. Methods We used the ActiGraph hip-worn accelerometry data from 538 adult Latino participants. We studied four most important domains of pre-processing criteria

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Smid, Annemarie, Rik W. J. Pauwels, Jan Willem J. Elting, et al. "A Novel Accelerometry Method to Perioperatively Quantify Essential Tremor Based on Fahn–Tolosa–Marin Criteria." Journal of Clinical Medicine 12, no. 13 (2023): 4235. http://dx.doi.org/10.3390/jcm12134235.

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The disease status, progression, and treatment effect of essential tremor (ET) patients are currently assessed with clinical scores, such as the Fahn–Tolosa–Marin Clinical Rating Scale for Tremor (FTM). The use of objective and rater-independent monitoring of tremors may improve clinical care for patients with ET. Therefore, the focus of this study is to develop an objective accelerometry-based method to quantify ET, based on FTM criteria. Thirteen patients with ET and thirteen matched healthy participants underwent FTM tests to rate tremor severity, paired with tri-axial accelerometric measur

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Zbogar, Dominik, Janice J. Eng, William C. Miller, Andrei V. Krassioukov, and Mary C. Verrier. "Reliability and validity of daily physical activity measures during inpatient spinal cord injury rehabilitation." SAGE Open Medicine 4 (January 1, 2016): 205031211666694. http://dx.doi.org/10.1177/2050312116666941.

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Objectives: To assess the test–retest reliability and convergent validity of daily physical activity measures during inpatient spinal cord injury rehabilitation. Design: Observational study. Setting: Two inpatient spinal cord injury rehabilitation centres. Subjects: Participants ( n = 106) were recruited from consecutive admissions to rehabilitation. Methods: Physical activity during inpatient spinal cord injury rehabilitation stay was recorded on two days via (1) wrist accelerometer, (2) hip accelerometer if ambulatory, and (3) self-report (Physical Activity Recall Assessment for People with

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Beirens, Benjamin, José Darrozes, Guillaume Ramillien, Lucia Seoane, Patrice Médina, and Pierre Durand. "Using a SPATIAL INS/GNSS MEMS Unit to Detect Local Gravity Variations in Static and Mobile Experiments: First Results." Sensors 23, no. 16 (2023): 7060. http://dx.doi.org/10.3390/s23167060.

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In this study, we present the feasibility of using gravity measurements made with a small inertial navigation system (INS) during in situ experiments, and also mounted on an unmanned aerial vehicle (UAV), to recover local gravity field variations. The INS operated is the SPATIAL one developed by Advanced Navigation, which has three-axis accelerometers. When the temperature bias is corrected, these types of INS are powerful enough to present the periodic signal corresponding to the solid Earth tides. There is also a clear correlation with the data measured at different altitudes by a CG5 gravim

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Bento, Teresa, António Cortinhas, José Carlos Leitão, and Maria Paula Mota. "Use of accelerometry to measure physical activity in adults and the elderly." Revista de Saúde Pública 46, no. 3 (2012): 561–70. http://dx.doi.org/10.1590/s0034-89102012005000022.

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OBJECTIVE: To review the use of accelerometry as an objective measure of physical activity in adults and elderly people. METHODS: A systematic review of studies on the use of accelerometty as an objective measure to assess physical activity in adults were examined in PubMed Central, Web of Knowledge, EBSCO and Medline databases from March 29 to April 15, 2010. The following keywords were used: "accelerometry," "accelerometer," "physical activity," "PA," "patterns," "levels," "adults," "older adults," and "elderly," either alone or in combination using "AND" or "OR." The reference lists of the

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Larrivée, Samuel, Frédéric Balg, Guillaume Léonard, Sonia Bédard, Michel Tousignant, and Patrick Boissy. "Wrist-Based Accelerometers and Visual Analog Scales as Outcome Measures for Shoulder Activity During Daily Living in Patients With Rotator Cuff Tendinopathy: Instrument Validation Study." JMIR Rehabilitation and Assistive Technologies 6, no. 2 (2019): e14468. http://dx.doi.org/10.2196/14468.

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Background Shoulder pain secondary to rotator cuff tendinopathy affects a large proportion of patients in orthopedic surgery practices. Corticosteroid injections are a common intervention proposed for these patients. The clinical evaluation of a response to corticosteroid injections is usually based only on the patient’s self-evaluation of his function, activity, and pain by multiple questionnaires with varying metrological qualities. Objective measures of upper extremity functions are lacking, but wearable sensors are emerging as potential tools to assess upper extremity function and activity

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Kebede, Michael, Annie Green Howard, Yumeng Ren, et al. "A systematic scoping review of latent class analysis applied to accelerometry-assessed physical activity and sedentary behavior." PLOS ONE 19, no. 1 (2024): e0283884. http://dx.doi.org/10.1371/journal.pone.0283884.

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Background Latent class analysis (LCA) identifies distinct groups within a heterogeneous population, but its application to accelerometry-assessed physical activity and sedentary behavior has not been systematically explored. We conducted a systematic scoping review to describe the application of LCA to accelerometry. Methods Comprehensive searches in PubMed, Web of Science, CINHAL, SPORTDiscus, and Embase identified studies published through December 31, 2021. Using Covidence, two researchers independently evaluated inclusion criteria and discrepancies were resolved by consensus. Studies with

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Ishikawa-Takata, Kazuko, Kayoko Kaneko, Kayo Koizumi, and Chinatsu Ito. "Comparison of physical activity energy expenditure in Japanese adolescents assessed by EW4800P triaxial accelerometry and the doubly labelled water method." British Journal of Nutrition 110, no. 7 (2013): 1347–55. http://dx.doi.org/10.1017/s0007114513000603.

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The present study compared the accuracy of triaxial accelerometry and the doubly labelled water (DLW) method for measuring physical activity (PA) in Japanese adolescents. A total of sixty adolescents aged 12–15 years were analysed. The total energy expenditure (TEE) was measured over 7 d by the DLW method and with an EW4800P triaxial accelerometer (Panasonic Corporation). The measured (RMRm) and predicted RMR (RMRp) were 5·7 (sd 0·9) and 6·0 (sd 1·0) MJ/d, respectively. TEE measured by the DLW method and accelerometry using RMRm or RMRp were 11·0 (sd 2·6), 10·3 (sd 1·9), and 10·7 (sd 2·1) MJ/d

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Lewis, Liane S., James Hernon, Allan Clark, and John M. Saxton. "Validation of the IPAQ Against Different Accelerometer Cut-Points in Older Cancer Survivors and Adults at Risk of Cancer." Journal of Aging and Physical Activity 26, no. 1 (2018): 34–40. http://dx.doi.org/10.1123/japa.2016-0207.

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The present study investigated the convergent validity of an interview-administered IPAQ long version (IPAQ-L) in an older population by comparison with objective accelerometry movement data. Data from 52 participants (mean age 67.9 years, 62% male) were included in the analysis. Treadmill derived (TM-ACC: 1,952–5,724 cpm) and free-living physical activity (PA) derived (FL-ACC: 760–5,724 cpm) accelerometer cut-points were used as criterion. IPAQ-L measures (total PA, leisure-time, walking-time, sedentary time) were significantly correlated with accelerometry (P ≤ .05). Differences in sex were

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Zainol Abidin, Nurdiana, Wendy J. Brown, Bronwyn Clark, Ahmad Munir Che Muhamed, and Rabindarjeet Singh. "Physical Activity Measurement by Accelerometry Among Older Malay Adults Living in Semi-Rural Areas—A Feasibility Study." Journal of Aging and Physical Activity 24, no. 4 (2016): 533–39. http://dx.doi.org/10.1123/japa.2015-0157.

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We evaluated feasibility of physical activity measurement by accelerometry among older Malay adults living in semi-rural areas in Malaysia. Results showed that 95% of 146 participants (aged [SD] 67.6 [6.4] years) were compliant in wearing the accelerometer for at least five days. Fifteen participants were asked for re-wear the accelerometer because they did not have enough valid days during the first assessment. Participants wore the accelerometer an average of 15.3 hr in a 24-hr day, with 6.5 (1.2) valid wear days. No significant difference in valid wear day and time was found between men and

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de Graauw, Suzanne M., Janke F. de Groot, Marco van Brussel, Marjolein F. Streur, and Tim Takken. "Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents." International Journal of Pediatrics 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/489304.

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Purpose. To critically review the validity of accelerometry-based prediction models to estimate activity energy expenditure (AEE) in children and adolescents.Methods. The CINAHL, EMBASE, PsycINFO, and PubMed/MEDLINE databases were searched. Inclusion criteria were development or validation of an accelerometer-based prediction model for the estimation of AEE in healthy children or adolescents (6–18 years), criterion measure: indirect calorimetry, or doubly labelled water, and language: Dutch, English or German.Results. Nine studies were included. Median methodological quality was5.5±2.0 IR (out

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Vanderloo, Leigh M., Natascja A. Di Cristofaro, Nicole A. Proudfoot, Patricia Tucker, and Brian W. Timmons. "Comparing the Actical and ActiGraph Approach to Measuring Young Children’s Physical Activity Levels and Sedentary Time." Pediatric Exercise Science 28, no. 1 (2016): 133–42. http://dx.doi.org/10.1123/pes.2014-0218.

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Young children’s activity and sedentary time were simultaneously measured via the Actical method (i.e., Actical accelerometer and specific cut-points) and the ActiGraph method (i.e., ActiGraph accelerometer and specific cut-points) at both 15-s and 60-s epochs to explore possible differences between these 2 measurement approaches. For 7 consecutive days, participants (n = 23) wore both the Actical and ActiGraph side-by-side on an elastic neoprene belt. Device-specific cut-points were applied. Paired sample t tests were conducted to determine the differences in participants’ daily average activ

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Tuckwell, Georgia A., James A. Keal, Charlotte C. Gupta, Sally A. Ferguson, Jarrad D. Kowlessar, and Grace E. Vincent. "A Deep Learning Approach to Classify Sitting and Sleep History from Raw Accelerometry Data during Simulated Driving." Sensors 22, no. 17 (2022): 6598. http://dx.doi.org/10.3390/s22176598.

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Prolonged sitting and inadequate sleep can impact driving performance. Therefore, objective knowledge of a driver’s recent sitting and sleep history could help reduce safety risks. This study aimed to apply deep learning to raw accelerometry data collected during a simulated driving task to classify recent sitting and sleep history. Participants (n = 84, Mean ± SD age = 23.5 ± 4.8, 49% Female) completed a seven-day laboratory study. Raw accelerometry data were collected from a thigh-worn accelerometer during a 20-min simulated drive (8:10 h and 17:30 h each day). Two convolutional neural netwo

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Eston, Roger G., Ann V. Rowlands, and David K. Ingledew. "Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of children’s activities." Journal of Applied Physiology 84, no. 1 (1998): 362–71. http://dx.doi.org/10.1152/jappl.1998.84.1.362.

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Eston, Roger G., Ann V. Rowlands, and David K. Ingledew.Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of children’s activities. J. Appl. Physiol. 84(1): 362–371, 1998.—Heart rate telemetry is frequently used to estimate daily activity in children and to validate other methods. This study compared the accuracy of heart rate monitoring, pedometry, triaxial accelerometry, and uniaxial accelerometry for estimating oxygen consumption during typical children’s activities. Thirty Welsh children (mean age 9.2 ± 0.8 yr) walked (4 and 6 km/h) and ran (8 and 10 km/h)

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Garnotel, M., T. Bastian, H. M. Romero-Ugalde, et al. "Prior automatic posture and activity identification improves physical activity energy expenditure prediction from hip-worn triaxial accelerometry." Journal of Applied Physiology 124, no. 3 (2018): 780–90. http://dx.doi.org/10.1152/japplphysiol.00556.2017.

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Accelerometry is increasingly used to quantify physical activity (PA) and related energy expenditure (EE). Linear regression models designed to derive PAEE from accelerometry-counts have shown their limits, mostly due to the lack of consideration of the nature of activities performed. Here we tested whether a model coupling an automatic activity/posture recognition (AAR) algorithm with an activity-specific count-based model, developed in 61 subjects in laboratory conditions, improved PAEE and total EE (TEE) predictions from a hip-worn triaxial-accelerometer (ActigraphGT3X+) in free-living cond

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Shi, Chengjian, Jacek Urbanek, Niser Babiker, et al. "Hip Accelerometry Activity Patterns Improve Machine Learning Prediction of 1-Year MoCA Score Change." Innovation in Aging 5, Supplement_1 (2021): 444. http://dx.doi.org/10.1093/geroni/igab046.1723.

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Abstract We tested whether free-living hip accelerometry measures improved prediction of 1-year change in Montreal Cognitive Assessment (MoCA) scores beyond clinically available information. We analyzed data (n=126) from predominantly African American (78.2%) older adults without moderate-severe dementia residing near our geriatrics clinic. Age (73.6 ±6.1 years), gender, education, comorbidities, income, and MoCA performance were collected at baseline; participants then wore a right hip, triaxial Actigraph accelerometer (30Hz) continuously for 7 days. A MoCA was repeated at 1 year. Six measure

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Visser, Marjolein, Robert J. Brychta, Kong Y. Chen, and Annemarie Koster. "Self-Reported Adherence to the Physical Activity Recommendation and Determinants of Misperception in Older Adults." Journal of Aging and Physical Activity 22, no. 2 (2014): 226–34. http://dx.doi.org/10.1123/japa.2012-0219.

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We aimed to compare self-reported adherence to the physical activity recommendation with accelerometry in older adults and to identify determinants of misperception. The sample included 138 adults age 65–75 yr old participating in the Longitudinal Aging Study Amsterdam. Participants completed a lifestyle questionnaire and wore an accelerometer for one week. More than half (56.8%) of the participants reported to adhere to the physical activity recommendation (in 5-min bouts), however, based on accelerometry, this percentage was only 24.6%. Of those who reported to adhere, 65.3% did not do so ba

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Ameer, Abdulnasir Hussien, Byung Rim Park, and Alaa Ouraiby. "Electrophysiological Assessment of Essential Tremors' Severity by accelerometer: Frequency Domain Approach." AL-Kindy College Medical Journal 20, no. 2 (2024): 89–92. http://dx.doi.org/10.47723/j5tcv961.

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Abstract (sommario):

Background: Evaluation of tremors is critical in the management of essential tremors, starting from early diagnosis to initial medication and follow-up. Clinical rating scales, accelerometry, or electrophysiology can be used to determine the severity of tremors. However, clinical assessments are self-administered and may be influenced by intra- and inter-evaluator differences in experience and small changes in tremor severity. Objectives: to demonstrate whether accelerometers are a valuable method for assessing patients with essential tremors. Subjects and Methods: In the postural position, ha

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ILIE, Cristinel, Nicolae TĂNASE, Daniel LIPCINSKI, Marius POPA, Mihai GUȚU, and Romulus Marian MIHAI. "DIMENSONAREA ȘI CONSTRUCȚIA TRADUCTOARELOR PIEZOELECTRICE DE VIBRAȚII." ACTUALITĂŢI ŞI PERSPECTIVE ÎN DOMENIUL MAŞINILOR ELECTRICE (ELECTRIC MACHINES, MATERIALS AND DRIVES - PRESENT AND TRENDS) 2023, no. 1 (2024): 40–51. http://dx.doi.org/10.36801/apme.2023.1.6.

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The paper presents the construction of piezoelectric accelerometers, the mechano-electrical transfer mode, typical constructions, basic characteristics, and theoretical approaches to the vibration phenomenon appearing in accelerometry and calculation possibilities of the various characteristics of the transducers. In the second part of the paper, the functional testing of such a transducer is also presented, piezoelectric vibration transducers being useful for vibration determination and dynamic balancing of electric machines. In general, vibration transducers provide, through mechano-electric

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García-Soidán, Jose L., Raquel Leirós-Rodríguez, Vicente Romo-Pérez, and Jesús García-Liñeira. "Accelerometric Assessment of Postural Balance in Children: A Systematic Review." Diagnostics 11, no. 1 (2020): 8. http://dx.doi.org/10.3390/diagnostics11010008.

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The correct development of postural control in children is fundamental to ensure that they fully reach their psychomotor capacities. However, this capacity is one of the least studied in the clinical and academic scope regarding children. The objective of this study was to analyze the degree of implementation of accelerometry as an evaluation technique for postural control in children and how it is being used. Methods: A systematic search was conducted in PubMed, SpringerLink, SportsDiscus, Medline, Scopus, and Web of Science with the following terms: balance, postural control, children, kids,

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Keba, Martin, Maie Bachmann, Jaanus Lass, and Tõnu Rätsep. "Assessing Parkinson’s Rest Tremor from the Wrist with Accelerometry and Gyroscope Signals in Patients with Deep Brain Stimulation: An Observational Study." Journal of Clinical Medicine 14, no. 6 (2025): 2073. https://doi.org/10.3390/jcm14062073.

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Abstract (sommario):

Background: Wearable sensors are mainly used in Parkinson’s disease (PD) to assess motor symptoms and to aid clinicians in patient management. Inertial measurement units that simultaneously register accelerometric and gyroscope signals have been one of the most studied and practicable methods. The heterogeneity of described methods and clinical settings studied can discourage wearable device use and highlight the need for standardization. This study compares previously proposed accelerometry and gyroscope signal features for tremor assessment measured at the wrist. Methods: An inertial measure

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Elliott, Kyle H., Maryline Le Vaillant, Akiko Kato, John R. Speakman, and Yan Ropert-Coudert. "Accelerometry predicts daily energy expenditure in a bird with high activity levels." Biology Letters 9, no. 1 (2013): 20120919. http://dx.doi.org/10.1098/rsbl.2012.0919.

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Animal ecology is shaped by energy costs, yet it is difficult to measure fine-scale energy expenditure in the wild. Because metabolism is often closely correlated with mechanical work, accelerometers have the potential to provide detailed information on energy expenditure of wild animals over fine temporal scales. Nonetheless, accelerometry needs to be validated on wild animals, especially across different locomotory modes. We merged data collected on 20 thick-billed murres ( Uria lomvia ) from miniature accelerometers with measurements of daily energy expenditure over 24 h using doubly labell

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ZEALEAR, DAVID L., GARRETT D. HERZON, and MARJORIE KORFF. "EVOKED ACCELEROMETRY." Laryngoscope 98, no. 5 (1988): 568???572. http://dx.doi.org/10.1288/00005537-198805000-00019.

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García-Prieto, Jorge Cañete, Vicente Martinez-Vizcaino, Antonio García-Hermoso, et al. "Energy Expenditure in Playground Games in Primary School Children Measured by Accelerometer and Heart Rate Monitors." International Journal of Sport Nutrition and Exercise Metabolism 27, no. 5 (2017): 467–74. http://dx.doi.org/10.1123/ijsnem.2016-0122.

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Abstract (sommario):

The aim of this study was to examine the energy expenditure (EE) measured using indirect calorimetry (IC) during playground games and to assess the validity of heart rate (HR) and accelerometry counts as indirect indicators of EE in children´s physical activity games. 32 primary school children (9.9 ± 0.6 years old, 19.8 ± 4.9 kg · m-2 BMI and 37.6 ± 7.2 ml · kg-1 · min-1 VO2max). Indirect calorimetry (IC), accelerometry and HR data were simultaneously collected for each child during a 90 min session of 30 playground games. Thirty-eight sessions were recorded in 32 different children. Each gam

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Roomkham, S., D. Lovell, I. Szollosi, and D. Perrin. "P122 Comparison of sleep estimation using Apple Watch accelerometry against polysomnography." SLEEP Advances 2, Supplement_1 (2021): A61. http://dx.doi.org/10.1093/sleepadvances/zpab014.163.

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Abstract (sommario):

Abstract Introduction Consumer wearables offer new ways to improve our health and well-being, including sleep. Researchers are interested in consumer wearables because their widespread adoption creates the potential for larger studies than could be run with clinically validated measurement methods, as those are more expensive or less convenient. This study investigates sleep tracking using sensor data from Apple Watch in comparison to the gold standard polysomnography (PSG). Method We used Apple Watch accelerometer data to establish both activity and heart rate (using ballistocardiography). Th

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Hayward, Kathryn S., Janice J. Eng, Lara A. Boyd, Bimal Lakhani, Julie Bernhardt, and Catherine E. Lang. "Exploring the Role of Accelerometers in the Measurement of Real World Upper-Limb Use After Stroke." Brain Impairment 17, no. 1 (2015): 16–33. http://dx.doi.org/10.1017/brimp.2015.21.

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Abstract (sommario):

The ultimate goal of upper-limb rehabilitation after stroke is to promote real-world use, that is, use of the paretic upper-limb in everyday activities outside the clinic or laboratory. Although real-world use can be collected through self-report questionnaires, an objective indicator is preferred. Accelerometers are a promising tool. The current paper aims to explore the feasibility of accelerometers to measure upper-limb use after stroke and discuss the translation of this measurement tool into clinical practice. Accelerometers are non-invasive, wearable sensors that measure movement in arbi

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Schrack, Jennifer, Jacek Urbanek, and Todd Manini. "Novel Applications of Accelerometry Data for Health Outcomes in Older Adults: Thinking Beyond MVPA." Innovation in Aging 5, Supplement_1 (2021): 334–35. http://dx.doi.org/10.1093/geroni/igab046.1298.

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Abstract (sommario):

Abstract 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 such as moderate-to-vigorous physical activity, or “MVPA.” Although these measures are important for understanding compliance with physical activity guidelines, they underutilize the potential of this data. To advance the science of physical ac

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Schütte, Kurt H., Saint Sackey, Rachel Venter, and Benedicte Vanwanseele. "Energy cost of running instability evaluated with wearable trunk accelerometry." Journal of Applied Physiology 124, no. 2 (2018): 462–72. http://dx.doi.org/10.1152/japplphysiol.00429.2017.

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Abstract (sommario):

Maintaining stability under dynamic conditions is an inherent challenge to bipedal running. This challenge may impose an energetic cost (Ec) thus hampering endurance running performance, yet the underlying mechanisms are not clear. Wireless triaxial trunk accelerometry is a simple tool that could be used to unobtrusively evaluate these mechanisms. Here, we test a cost of instability hypothesis by examining the contribution of trunk accelerometry-based measures (triaxial root mean square, step and stride regularity, and sample entropy) to interindividual variance in Ec (J/m) during treadmill ru

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