Transfer Functions on Biologic Data Sets
I have blast data from 3 different organisms. Two animals and one human set. I am looking to develop a transfer function to translate the data sets from animal set to the human data set. I also have the ambient pressure from outside of the body for normalization as well as weight, speed of the wave, and weight of the individual body parts. I only have acess to the following toolboxes:
MATLAB Version 9.8 (R2020a)
Curve Fitting Toolbox Version 3.5.11 (R2020a)
Deep Learning Toolbox Version 14.0 (R2020a)
GUI Layout Toolbox Version 2.3.6 (R2023a)
Signal Processing Toolbox Version 8.4 (R2020a)
Statistics and Machine Learning Toolbox Version 11.7 (R2020a)
I want to be able to set up some sort of optimizaiton funciton that would work between both of the animal models, independetly. Likely a second order model. I have attached the raw data of the pressures as a CSV. Each of the data sets are computed at 0.8Mhz and the data listed by row is an maximum individual test, not a continous data set.
I am looking for gudiance on how to start this.
>>I have blast data from 3 different organisms. Two animals and one human set. I am looking to develop a transfer function to translate the data sets from animal set to the human data set. I also have the ambient pressure from outside of the body for normalization as well as weight, speed of the wave, and weight of the individual body parts. I only have acess to the following toolboxes:
MATLAB Version 9.8 (R2020a)
Curve Fitting Toolbox Version 3.5.11 (R2020a)
Deep Learning Toolbox Version 14.0 (R2020a)
GUI Layout Toolbox Version 2.3.6 (R2023a)
Signal Processing Toolbox Version 8.4 (R2020a)
Statistics and Machine Learning Toolbox Version 11.7 (R2020a)
I want to be able to set up some sort of optimizaiton funciton that would work between both of the animal models, independetly. Likely a second order model. I have attached the raw data of the pressures as a CSV. Each of the data sets are computed at 0.8Mhz and the data listed by row is an maximum individual test, not a continous data set.
I am looking for gudiance on how to start this.
>> I have blast data from 3 different organisms. Two animals and one human set. I am looking to develop a transfer function to translate the data sets from animal set to the human data set. I also have the ambient pressure from outside of the body for normalization as well as weight, speed of the wave, and weight of the individual body parts. I only have acess to the following toolboxes:
MATLAB Version 9.8 (R2020a)
Curve Fitting Toolbox Version 3.5.11 (R2020a)
Deep Learning Toolbox Version 14.0 (R2020a)
GUI Layout Toolbox Version 2.3.6 (R2023a)
Signal Processing Toolbox Version 8.4 (R2020a)
Statistics and Machine Learning Toolbox Version 11.7 (R2020a)
I want to be able to set up some sort of optimizaiton funciton that would work between both of the animal models, independetly. Likely a second order model. I have attached the raw data of the pressures as a CSV. Each of the data sets are computed at 0.8Mhz and the data listed by row is an maximum individual test, not a continous data set.
I am looking for gudiance on how to start this.
>> transfer function, biologics, curve fitting MATLAB Answers — New Questions