R/convertfile/spm_convert.R

In dddd1007/TJNU.fnirslab: Data Analysis Package for fNIRS Lab in Tianjin Normal University

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#               佛祖保佑         永无BUG
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# 天津师范大学 心理与行为研究院 近红外组
# 夏骁凯 编写
# 有问题请联系 dddd1007@gmail.com

spm_convert <- function(filename){

  #读取数据
  datafile <- readr::read_delim(filename, "\t", escape_double = FALSE, trim_ws = TRUE,
                         skip = 36, col_names = FALSE)

  #生成确定行列的数据框
  rownum <- nrow(datafile)
  colnum <- (ncol(datafile)-4)/3
  oxyData <- as.data.frame(matrix(ncol = colnum, nrow = rownum))
  dxyData <- as.data.frame(matrix(ncol = colnum, nrow = rownum))
  tHbData <- as.data.frame(matrix(ncol = colnum, nrow = rownum))
  time <- datafile[,1]

  #循环分类取出氧合血红蛋白、脱氧血红蛋白、总血红蛋白变化
  for (i in 1 : colnum) {
    oxyData[,i] <- datafile[,(i*3)+2]
    dxyData[,i] <- datafile[,(i*3)+3]
    tHbData[,i] <- datafile[,(i*3)+4]
  }

  #取出其他部分的数据
  vector_onset <- datafile[,2]        #onset点数据
  fs <- 1/(mean(diff(unlist(time ,use.names = FALSE))))  #计算采样率
  nch <- (ncol(datafile)-4)/3         #通道数
  T <- 1/fs                           #我也不知道是什么鬼

  #将数据转换成矩阵
  oxyData <- as.matrix(oxyData)
  dxyData <- as.matrix(dxyData)
  tHbData <- as.matrix(tHbData)
  vector_onset <- as.numeric(unlist(vector_onset, use.names = FALSE))

  #将数据整合为列表
  nirs_data <- list(oxyData = oxyData, dxyData = dxyData, tHbData = tHbData,
                    fs = fs, nch = nch, T = T, vector_onset = vector_onset)

  #提取文件名
  myfilename <- stringr::str_sub(filename, start = 1, end = -5)
  myfilename <- stringr::str_c(myfilename, "mat", sep = ".")
  #生成Mat文件
  R.matlab::writeMat(myfilename, nirs_data = nirs_data)
}