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Muscle noise is taken from MIT-BIH noistressess database.
Table 8 strain at peak stress database.
A stress database (ANUStressDB) of videos of faces is presented.
We name the database that has the collected labeled video data and its protocols as the ANU Stress database (ANUStressDB).
Biotic stress: The GEO series for the biotic stress database involved GSE7256, GSE30941, GSE41798, GSE18361, GSE36272, GSE29967, and GSE11025.
Working from the Lyon cochlear model, the authors demonstrate improvements on a five-class problem from the speech under simulated and actual stress database.
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A Plant Stress Gene Database based on literature search and another database of annotated tentative orthologs from crop abiotic stress transcripts are available (12, 13).
The performance of the method is evaluated on simulated data as well as on a stress testing database.
The analysis of HRV in the stress testing database reveals a significant decrease in the power of both the LF and HF components around peak stress.
Results from the stress testing database show that information on respiratory frequency produces HF power estimates which closely resemble those from the simulations which exhibited lower SD.
Finally, realistic noise consisting of a combination of white noise (with SNRs of 10, 20, and 40 dB), baseline wander, muscle artifacts, and electrode motion (obtained from the MIT-BIH Noise Stress Test Database [21]) were separately generated and added to the simulated ECG.
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