Stroke localization using multiple ridge regression predictors based on electromagnetic signals

HIGHLIGHTS

  • who: Shang Gao and colleagues from the School of Information Technology and Electrical Engineering, The University of Queensland, St Lucia, Brisbane, QLD, Australia have published the paper: Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals, in the Journal: Mathematics 2023, 11, 464. of /2023/
  • what: This study proposes a ridge regression-meanshift (RRMS) framework using obtained from 16 antennas placed around the anthropomorphic head phantom. Only 25 possible stroke positions are considered in the experiment, and only stroke phantoms of the same size are used in simulation, lacking generality and scalability when . . .

     

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