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A methodology for the automated time-domain characteristic parameter extraction of human pulse signals is presented.
The accuracy of Doppler information extraction may impact the effect of the extraction of human target physiological feature parameters.
It can realize the non-contact extraction of human physiological feature signals, so as to lay a foundation for further extracting of the physiological feature parameters.
In this appendix, we explain methods for extraction of human motion features and music features in A.1 and A.2, respectively.
The extraction of human antibodies was performed in an aqueous two-phase system (ATPS) composed of dextran and polyethylene glycol (PEG), in which the terminal hydroxyl groups of the PEG molecule were modified with an amino acid mimetic ligand in order to enhance the partition of the antibodies to the PEG-rich phase.
Extraction of human DNA from soil was performed according to [28].
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We further demonstrated that the identification of important subsequences would allow extraction of human-interpretable rules for the purpose of quantitative control of binding affinity.
The first steps of the extraction, lysis of human cells and digestion of human DNA, were manually performed according to the manufacturer's instructions.
Accordingly, the Kinect allows not only for the 3D reconstruction of a scene with point clouds but also for the 3D skeleton extraction of a human subject as combined with the motion capture solutions (e.g., OpenNI, Microsoft Kinect for Windows SDK, iPi Soft Motion Capture).
Furthermore, human target detection, location, and tracking can be achieved through signal extraction and analysis of human characteristics from the radar echo signal [19 21].
For extraction, 0.0500 mL of human EDTA plasma was spiked with 0.0200 mL α-HB-D3 internal standard solution (30.0 µg/mL) and subjected to protein precipitation by vigorously mixing with 0.250 mL of methanol.
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