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)