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The accuracy of the quantification was determined by comparing the measured activity with the known activity within the phantom measured at preparation.
Additionally, rather than relying upon subjective reports of decreased activity, we measured activity with accelerometers.
To address this issue, we measured activity with force plates while simultaneously recording EE.
After acquisition of the data, correlation of the measured activity with the acquired CT imaging for patient position and anatomy will be performed.
The measured activity with QSPECT deviated from the decay-corrected calibrated activity by 5.6 ± 1.9% (average of absolute deviation ± SD) for total activity and by 6.6 ± 3.5% for all VOIs.
By correlating the measured activity with the planned treatment and the actual patient anatomy as given by a computed tomogram (CT), it is possible to infer valuable information on the actual dose delivery.
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Furthermore, absence of the N-terminal region conferred higher measured activity consistent with published observations (Higgins and Gross, 2011).
So far, the focus has been on correlating some molecular descriptor with measured activity.
One way to measure activity levels is with wearable technology.
Similar results were obtained using chocolate in a second experiment measuring activity with automated video-based behavioral analysis.
We also measured physical activity with the Physical Activity Scale for the Elderly (PASE; [ 26]).
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