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Table 3 The STFT of all subjects was subjected to the KR algorithm with IMU measurement data for the transition time point of movement status change captured and analyzed with the results of error analysis with Tpre-d = 120 ± 0s

From: A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies

 

TIMU (s)

TKR (s)

M ± SD

120.27 ± 0.32

120.28 ± 0.37

MAE

0.32

0.37

MRE

0.00%

0.23%

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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