artificial neural network lab-nnet Search Results


artificial neural network lab-nnet  (ActiGraph llc)
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ActiGraph llc artificial neural network lab-nnet
Bottom and middle panels show 2-min 30-sec of second-by-second counts from the vertical acceleration signal. Top panel shows observer-identified activities. Using the <t>lab-nnet</t> and simple regression approaches the five distinct activities are grouped into minute intervals (bottom panel), resulting in inaccurate MET estimates. In free-living environments it may be more appropriate to identify where bouts of activity start and stop (middle panel) and estimate METs for specific activity bouts.
Artificial Neural Network Lab Nnet, supplied by ActiGraph llc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bottom and middle panels show 2-min 30-sec of second-by-second counts from the vertical acceleration signal. Top panel shows observer-identified activities. Using the lab-nnet and simple regression approaches the five distinct activities are grouped into minute intervals (bottom panel), resulting in inaccurate MET estimates. In free-living environments it may be more appropriate to identify where bouts of activity start and stop (middle panel) and estimate METs for specific activity bouts.

Journal: Medicine and science in sports and exercise

Article Title: A Method to Estimate Free-Living Active and Sedentary Behavior from an Accelerometer

doi: 10.1249/MSS.0b013e3182a42a2d

Figure Lengend Snippet: Bottom and middle panels show 2-min 30-sec of second-by-second counts from the vertical acceleration signal. Top panel shows observer-identified activities. Using the lab-nnet and simple regression approaches the five distinct activities are grouped into minute intervals (bottom panel), resulting in inaccurate MET estimates. In free-living environments it may be more appropriate to identify where bouts of activity start and stop (middle panel) and estimate METs for specific activity bouts.

Article Snippet: In a laboratory calibration study our group recently developed an artificial neural network (lab-nnet) to estimate METs from second-by-second ActiGraph TM (ActiGraph LLC, Pensacola, Florida) accelerometer output ( 37 ).

Techniques: Activity Assay

Lab-nnet, Soj-1x, Soj-3x and three traditional regression models compared to direct observation (DO) (mean (95% CI))

Journal: Medicine and science in sports and exercise

Article Title: A Method to Estimate Free-Living Active and Sedentary Behavior from an Accelerometer

doi: 10.1249/MSS.0b013e3182a42a2d

Figure Lengend Snippet: Lab-nnet, Soj-1x, Soj-3x and three traditional regression models compared to direct observation (DO) (mean (95% CI))

Article Snippet: In a laboratory calibration study our group recently developed an artificial neural network (lab-nnet) to estimate METs from second-by-second ActiGraph TM (ActiGraph LLC, Pensacola, Florida) accelerometer output ( 37 ).

Techniques:

Lab-Nnet, Soj-1x and Soj-3x estimates for each participant. Model estimates for each participant compared to direct observation. The closer the point falls to the line of identity, the closer the estimate is to direct observation. Lab-nnet: open squares, soj-1x: open triangles, soj-3x: filled circles.

Journal: Medicine and science in sports and exercise

Article Title: A Method to Estimate Free-Living Active and Sedentary Behavior from an Accelerometer

doi: 10.1249/MSS.0b013e3182a42a2d

Figure Lengend Snippet: Lab-Nnet, Soj-1x and Soj-3x estimates for each participant. Model estimates for each participant compared to direct observation. The closer the point falls to the line of identity, the closer the estimate is to direct observation. Lab-nnet: open squares, soj-1x: open triangles, soj-3x: filled circles.

Article Snippet: In a laboratory calibration study our group recently developed an artificial neural network (lab-nnet) to estimate METs from second-by-second ActiGraph TM (ActiGraph LLC, Pensacola, Florida) accelerometer output ( 37 ).

Techniques: