Artificial Neural Networks

Research from Nipissing University provide new insights into artificial neural networks

Published in Drug Law Weekly, February 17th, 2009

"Estimation of energy expenditure in daily living conditions can be a tool for clinical assessment of health status, as well as a self-measure of lifestyle and general activity levels. Criterion measures are either prohibitively expensive or restricted to laboratory settings," investigators in Canada report.

"Portable devices (heart rate monitors, pedometers) have gained recent popularity, but accuracy of the prediction equations remains questionable. This study applied an artificial neural network modeling approach to the problem of estimating energy expenditure with different dynamic inputs (accelerometry, heart rate above resting (HRar), and electromyography (EMG))....

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Source: Drug Law Weekly (2009-02-17)

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