IDs = [
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20,
21
]
for pt in IDs:
# subband = 'full'
# print ("pt= " + str(pt+1))
# MyUtils.TrainTest(pt, subband)
subband = 'bandAlpha'
print("pt= " + str(pt + 1))
MyUtils.TrainTest(pt, subband)
FileName_BestModel = 'BestModel_' + subband + '_excl' + str(pt) + '.h5'
MyUtils.NewTest(FileName_BestModel, subband + 'Filtered', pt)
subband = 'bandBeta'
print("pt= " + str(pt + 1))
MyUtils.TrainTest(pt, subband)
FileName_BestModel = 'BestModel_' + subband + '_excl' + str(pt) + '.h5'
MyUtils.NewTest(FileName_BestModel, subband + 'Filtered', pt)
subband = 'bandDelta'
print("pt= " + str(pt + 1))
MyUtils.TrainTest(pt, subband)
FileName_BestModel = 'BestModel_' + subband + '_excl' + str(pt) + '.h5'
MyUtils.NewTest(FileName_BestModel, subband + 'Filtered', pt)
subband = 'bandGamma'
print("pt= " + str(pt + 1))
]
#PATH = "C:/Elham/ONGOING ISSUES/Martin McKeown/EEG_PatientIdentification/P1_SHAM_TASK_AK/from GPU/Models/"
PATH = ""
#------------------- Train on Full, Test on Full and Sub-----------------------
SBs = ['full', 'bandAlpha', 'bandBeta', 'bandDelta', 'bandGamma', 'bandTheta']
workbook = xlsxwriter.Workbook('TrainOnFull2_Results4AK.xlsx')
for sb in SBs:
subband = sb
worksheet = workbook.add_worksheet(subband)
for pt in IDs:
print("pt= " + str(pt + 1))
FileName_BestModel = PATH + 'BestModel_full_excl' + str(pt) + '.h5'
rt1 = list(MyUtils.NewTest(FileName_BestModel, subband, pt))
row = 1
column = pt + 1
for item in rt1:
worksheet.write(row, column, item)
row += 1
workbook.close()
#------------------- Train on sub-bands, Test on Sub-----------------------
SBs = ['bandAlpha', 'bandBeta', 'bandDelta', 'bandGamma', 'bandTheta']
workbook = xlsxwriter.Workbook('TrainOnSB2_Results4AK.xlsx')
for sb in SBs:
subband = sb
worksheet = workbook.add_worksheet(subband)
