dcs analysis software  (MathWorks Inc)

Journal: IEEE access : practical innovations, open solutions

Article Title: Diffuse Correlation Spectroscopy Analysis Implemented on a Field Programmable Gate Array

doi: 10.1109/access.2019.2938085

Figure Lengend Snippet: The pipeline implementation of the MSE calculation in the DCS analysis. Each block in yellow is an IP core or modular combinations of IP cores (①, ②, ③ and ④). ∑ is the accumulator core. CTR1 and CTR2 are counters. D is the delay unit of three clock cycles that turns the counter overflow signal into the STA signal of the pipeline. MEM is the memory storing the correlation delay and experiment data. Bτ and g2e(τ) (labeled in red) are inputs to the pipeline. Constants A, r1, rb and H are stored in FPGA memory. αDB and β are iteration parameters. x and y represent the input data of the cores.

Article Snippet: The correlation data from animal study were also processed by MATLAB DCS analysis software offline for the system level comparison and both results matched well.

Techniques: Blocking Assay, Labeling

Journal: IEEE access : practical innovations, open solutions

Article Title: Diffuse Correlation Spectroscopy Analysis Implemented on a Field Programmable Gate Array

doi: 10.1109/access.2019.2938085

Figure Lengend Snippet: rBFI1 is from FPAG analyzer and rBFI2 is from software analysis. (a) Bland Altman plot of the BFI measurements on four phantoms by two independent DCS systems. The black line indicated the difference mean and the red lines define 95% confidence interval (1.96 standard deviation of the rBFI difference) from the difference mean. (b) Linear correlation between the rBFIs.

Article Snippet: The correlation data from animal study were also processed by MATLAB DCS analysis software offline for the system level comparison and both results matched well.

Techniques: Software, Standard Deviation