Refined two-regression model for the ActiGraph accelerometer. - Wikidata - awgldk - TriplyDB

Refined two-regression model for the ActiGraph accelerometer.

Refined two-regression model for the ActiGraph accelerometer.

http://www.wikidata.org/entity/Q33939927

about

Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.Use of a two-regression model for estimating energy expenditure in children A method to estimate free-living active and sedentary behavior from an accelerometer.Comparison of physical activity measures using mobile phone-based CalFit and Actigraph Validation of Physical Activity Tracking via Android Smartphones Compared to ActiGraph Accelerometer: Laboratory-Based and Free-Living Validation Studies.Issues in accelerometer methodology: the role of epoch length on estimates of physical activity and relationships with health outcomes in overweight, post-menopausal women.Active transportation and public transportation use to achieve physical activity recommendations? A combined GPS, accelerometer, and mobility survey study.Validity of ActiGraph 2-regression model, Matthews cut-points, and NHANES cut-points for assessing free-living physical activity.Bipart: Learning Block Structure for Activity Detection Validity of the Actical for estimating free-living physical activity Validity of actigraphs uniaxial and triaxial accelerometers for assessment of physical activity in adults in laboratory conditions.Validation and comparison of two methods to assess human energy expenditure during free-living activities.Validity of estimating minute-by-minute energy expenditure of continuous walking bouts by accelerometry A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers.Comparisons of prediction equations for estimating energy expenditure in youth Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings Lifestyle Behaviors in Metabolically Healthy and Unhealthy Overweight and Obese Women: A Preliminary Study Comparison of Self-Reported and Accelerometer-Assessed Physical Activity in Older Women.Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurements.Comparison of accelerometer cut points to estimate physical activity in US adults ReadySteady: app for accelerometer-based activity monitoring and wellness-motivation feedback system for older adults Ngram time series model to predict activity type and energy cost from wrist, hip and ankle accelerometers: implications of age.Estimating activity and sedentary behavior from an accelerometer on the hip or wrist Validity of ActiGraph child-specific equations during various physical activities.Accuracy of accelerometer regression models in predicting energy expenditure and METs in children and youth Differences in lumbopelvic control and occupational behaviours in female nurses with and without a recent history of low back pain due to back injury.Accelerometer-measured dose-response for physical activity, sedentary time, and mortality in US adults.Implementation of objective activity monitoring to supplement the interpretation of ambulatory esophageal PH investigations.Validity of Fitbit's active minutes as compared with a research-grade accelerometer and self-reported measures Validating measures of free-living physical activity in overweight and obese subjects using an accelerometer.Validation of a wireless accelerometer network for energy expenditure measurement.Measurement of Active and Sedentary Behavior in Context of Large Epidemiologic Studies.Comparison of daily physical activity parameters using objective methods between overweight and normal-weight children Fusion of Heart Rate, Respiration and Motion Measurements from a Wearable Sensor System to Enhance Energy Expenditure Estimation

P2860

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P2860

Refined two-regression model for the ActiGraph accelerometer.

http://www.wikidata.org/entity/Q33939927

description

2010 nî lūn-bûn

@nan

2010 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2010年の論文

@ja

2010年論文

@yue

2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

@zh-mo

2010年論文

@zh-tw

2010年论文

@wuu

name

Refined two-regression model for the ActiGraph accelerometer.

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Refined two-regression model for the ActiGraph accelerometer.

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type

label

Refined two-regression model for the ActiGraph accelerometer.

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Refined two-regression model for the ActiGraph accelerometer.

@en

prefLabel

Refined two-regression model for the ActiGraph accelerometer.

@ast

Refined two-regression model for the ActiGraph accelerometer.

@en

P1433

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MSS.0B013E3181C37458

P1433

Medicine and Science in Sports and Exercise

P1476

Refined two-regression model for the ActiGraph accelerometer.

@en

P2093

David R Bassett

http://www.w3.org/2001/XMLSchema#string

Erin Kuffel

http://www.w3.org/2001/XMLSchema#string

Jere D Haas

http://www.w3.org/2001/XMLSchema#string

Scott E Crouter

http://www.w3.org/2001/XMLSchema#string

P2860

Statistical methods for assessing agreement between two methods of clinical measurement

A novel method for using accelerometer data to predict energy expenditure.

Validity of estimating minute-by-minute energy expenditure of continuous walking bouts by accelerometry

Calibration of the Computer Science and Applications, Inc. accelerometer

Reexamination of validity and reliability of the CSA monitor in walking and running.

A new 2-regression model for the Actical accelerometer.

Accuracy of the Actiheart for the assessment of energy expenditure in adults.

Estimating energy expenditure using accelerometers.

Effect of monitor placement and of activity setting on the MTI accelerometer output.

Validity of four motion sensors in measuring moderate intensity physical activity.

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1029-1037

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scholarly article

P356

10.1249/MSS.0B013E3181C37458

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5

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42

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Edward A Frongillo

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2010-05-01T00:00:00Z

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20400882

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2891855

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