本文整理汇总了Python中wfdb.rdrecord方法的典型用法代码示例。如果您正苦于以下问题：Python wfdb.rdrecord方法的具体用法？Python wfdb.rdrecord怎么用？Python wfdb.rdrecord使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类wfdb的用法示例。
在下文中一共展示了wfdb.rdrecord方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: process_data
# 需要导入模块: import wfdb [as 别名]
# 或者: from wfdb import rdrecord [as 别名]
def process_data(filename):
import wfdb
ecg_list = listdir(filename)
sample_list = [ecg[:-4] for ecg in ecg_list]
clean_sample_list = [ecg for ecg in sample_list if
ecg not in ['102-0', 'ANNOTA', 'REC', 'SHA256SUMS', 'mitd', 'x_m']]
all_samples = np.zeros((len(clean_sample_list), 650000, 2))
for idx, ecg in enumerate(clean_sample_list):
record = wfdb.rdrecord(filename + ecg)
all_samples[idx] = record.p_signal
return all_samples 示例2: _get_sections
# 需要导入模块: import wfdb [as 别名]
# 或者: from wfdb import rdrecord [as 别名]
def _get_sections(self):
"""Collect continuous normal sinus rhythm sections."""
# Empty dictionary for NSR sections
sections = list()
# Loop through recordings
for record_id in self.record_ids:
# Import recording
record = wfdb.rdrecord(os.path.join(self.raw_path, record_id))
# Import annotations
annotation = wfdb.rdann(os.path.join(self.raw_path, record_id), 'atr')
# Get sample frequency
fs = record.__dict__['fs']
# Get waveform
waveform = record.__dict__['p_signal']
# labels
labels = np.array(annotation.__dict__['symbol'])
# Samples
sample = annotation.__dict__['sample']
# Section counter
section_id = 0
# Loop through labels
for start, stop in self._contiguous_regions(labels == 'N'):
if stop - start >= self.min_labels:
sections.append({'label': 'N', 'section': section_id, 'record': record_id, 'fs': fs, 'channel': 1,
'db': self.db_name, 'waveform': waveform[sample[start]:sample[stop - 1], 0]})
sections.append({'label': 'N', 'section': section_id, 'record': record_id, 'fs': fs, 'channel': 2,
'db': self.db_name, 'waveform': waveform[sample[start]:sample[stop - 1], 1]})
section_id += 1
return sections 示例3: _get_sections
# 需要导入模块: import wfdb [as 别名]
# 或者: from wfdb import rdrecord [as 别名]
def _get_sections(self):
"""Collect continuous arrhythmia sections."""
# Empty dictionary for arrhythmia sections
sections = list()
# Loop through records
for record_id in self.record_ids:
# Import recording
record = wfdb.rdrecord(os.path.join(self.raw_path, record_id))
# Import annotations
annotation = wfdb.rdann(os.path.join(self.raw_path, record_id), 'atr')
# Get sample frequency
fs = record.__dict__['fs']
# Get waveform
waveform = record.__dict__['p_signal']
# labels
labels = [label[1:] for label in annotation.__dict__['aux_note']]
# Samples
sample = annotation.__dict__['sample']
# Loop through labels and collect sections
for idx, label in enumerate(labels):
if any(label in val for val in list(self.label_dict.keys())):
if idx != len(labels) - 1:
sections.append({'label': label, 'section': idx, 'record': record_id, 'fs': fs, 'channel': 0,
'db': self.db_name, 'waveform': waveform[sample[idx]:sample[idx + 1], 0]})
sections.append({'label': label, 'section': idx, 'record': record_id, 'fs': fs, 'channel': 1,
'db': self.db_name, 'waveform': waveform[sample[idx]:sample[idx + 1], 1]})
elif idx == len(labels) - 1:
sections.append({'label': label, 'section': idx, 'record': record_id, 'fs': fs, 'channel': 0,
'db': self.db_name, 'waveform': waveform[sample[idx]:, 0]})
sections.append({'label': label, 'section': idx, 'record': record_id, 'fs': fs, 'channel': 1,
'db': self.db_name, 'waveform': waveform[sample[idx]:, 1]})
return sections