objective_problem_patients = []
loaded_GIDNS = [] # successfully loaded patients in ascending order
X = {}
y = {}
logging.info('Starting data preparation')
for patient_number, GIDN in enumerate(asked_GIDNS):
msg = 'GIDN %s. Patient %s out of %s processing.'%(GIDN, patient_number+1, len(asked_GIDNS))
if patient_number%50==0:
logging.info(msg)
su.check_memory(verbose=True)
else:
logging.debug(msg)
###### Load pulse data for the patient #######
data_RR = dl.load_RR_data(GIDN, path=conf.path_to_RR)
# data_RR (np.array) in format (time since midnight [ms], interval [ms], beat type)
if data_RR is None:
abcent_patients.append(GIDN)
continue
####### Filter intervals of given types and lengths #######
filtered_data_RR, filtration_info = df.filter_data_RR(data_RR, RR_filtering_params)
# filtered_data_RR (np.array) in format (time since midnight [ms], intervals [ms])
if filtered_data_RR is None:
filtered_patients.append(GIDN)
continue
msg = 'Filtration of intervals: %s'%filtration_info
logging.debug(msg)
loaded_GIDNS = [] # successfully loaded patients in ascending order
X = {}
y = {}
logging.info('Starting data processing')
for patient_number, GIDN in enumerate(asked_GIDNS):
msg = 'GIDN %s. Patient %s out of %s processing.' % (
GIDN, patient_number + 1, len(asked_GIDNS))
if patient_number % 50 == 0:
logging.info(msg)
su.check_memory(verbose=True)
else:
logging.debug(msg)
###### Load pulse data for the patient #######
data_RR = dl.load_RR_data(GIDN, path=conf.path_to_RR)
# data_RR (np.array) in format (time since midnight [ms], interval [ms], beat type)
if data_RR is None:
abcent_patients.append(GIDN)
continue
####### Filter intervals of given types and lengths #######
filtered_data_RR, filtration_info = df.filter_data_RR(
data_RR, RR_filtering_params)
# filtered_data_RR (np.array) in format (time since midnight [ms], intervals [ms])
if filtered_data_RR is None:
filtered_patients.append(GIDN)
continue
msg = 'Filtration of intervals: %s' % filtration_info
logging.debug(msg)
