166 lines
7.1 KiB
Python
166 lines
7.1 KiB
Python
import sys
|
||
from pathlib import Path
|
||
|
||
import os
|
||
|
||
import numpy as np
|
||
|
||
os.environ['DISPLAY'] = "localhost:10.0"
|
||
|
||
sys.path.append(str(Path(__file__).resolve().parent.parent))
|
||
project_root_path = Path(__file__).resolve().parent.parent
|
||
|
||
import utils
|
||
import signal_method
|
||
import draw_tools
|
||
import shutil
|
||
|
||
|
||
def build_HYS_dataset_segment(samp_id, show=False, draw_segment=False):
|
||
signal_path = list((org_signal_root_path / f"{samp_id}").glob("OrgBCG_Sync_*.txt"))
|
||
if not signal_path:
|
||
raise FileNotFoundError(f"OrgBCG_Sync file not found for sample ID: {samp_id}")
|
||
signal_path = signal_path[0]
|
||
print(f"Processing OrgBCG_Sync signal file: {signal_path}")
|
||
|
||
mask_excel_path = Path(mask_path, f"{samp_id}", f"{samp_id}_Processed_Labels.csv")
|
||
print(f"mask_excel_path: {mask_excel_path}")
|
||
|
||
event_mask, event_list = utils.read_mask_execl(mask_excel_path)
|
||
|
||
bcg_signal_raw, signal_length, signal_fs, signal_second = utils.read_signal_txt(signal_path, dtype=float)
|
||
|
||
bcg_signal_notch, resp_signal, resp_fs, bcg_signal, bcg_fs = signal_method.signal_filter_split(conf, bcg_signal_raw, signal_fs)
|
||
normalized_resp_signal = signal_method.normalize_resp_signal(resp_signal, resp_fs, event_mask["Resp_Movement_Label"], event_list["RespAmpChangeSegment"])
|
||
|
||
|
||
# 如果signal_data采样率过，进行降采样
|
||
if signal_fs == 1000:
|
||
bcg_signal_notch = utils.downsample_signal_fast(original_signal=bcg_signal_notch, original_fs=signal_fs, target_fs=100)
|
||
bcg_signal_raw = utils.downsample_signal_fast(original_signal=bcg_signal_raw, original_fs=signal_fs,
|
||
target_fs=100)
|
||
signal_fs = 100
|
||
|
||
if bcg_fs == 1000:
|
||
bcg_signal = utils.downsample_signal_fast(original_signal=bcg_signal, original_fs=bcg_fs, target_fs=100)
|
||
bcg_fs = 100
|
||
|
||
# draw_tools.draw_signal_with_mask(samp_id=samp_id,
|
||
# signal_data=resp_signal,
|
||
# signal_fs=resp_fs,
|
||
# resp_data=normalized_resp_signal,
|
||
# resp_fs=resp_fs,
|
||
# bcg_data=bcg_signal,
|
||
# bcg_fs=bcg_fs,
|
||
# signal_disable_mask=event_mask["Disable_Label"],
|
||
# resp_low_amp_mask=event_mask["Resp_LowAmp_Label"],
|
||
# resp_movement_mask=event_mask["Resp_Movement_Label"],
|
||
# resp_change_mask=event_mask["Resp_AmpChange_Label"],
|
||
# resp_sa_mask=event_mask["SA_Label"],
|
||
# bcg_low_amp_mask=event_mask["BCG_LowAmp_Label"],
|
||
# bcg_movement_mask=event_mask["BCG_Movement_Label"],
|
||
# bcg_change_mask=event_mask["BCG_AmpChange_Label"],
|
||
# show=show,
|
||
# save_path=None)
|
||
|
||
segment_list = utils.resp_split(dataset_config, event_mask, event_list)
|
||
print(f"Total segments extracted for sample ID {samp_id}: {len(segment_list)}")
|
||
|
||
|
||
# 复制mask到processed_Labels文件夹
|
||
save_mask_excel_path = save_processed_label_path / f"{samp_id}_Processed_Labels.csv"
|
||
shutil.copyfile(mask_excel_path, save_mask_excel_path)
|
||
|
||
# 复制SA Label_corrected.csv到processed_Labels文件夹
|
||
sa_label_corrected_path = Path(mask_path, f"{samp_id}", f"{samp_id}_SA Label_corrected.csv")
|
||
if sa_label_corrected_path.exists():
|
||
save_sa_label_corrected_path = save_processed_label_path / f"{samp_id}_SA Label_corrected.csv"
|
||
shutil.copyfile(sa_label_corrected_path, save_sa_label_corrected_path)
|
||
else:
|
||
print(f"Warning: {sa_label_corrected_path} does not exist.")
|
||
|
||
# 保存处理后的信号和截取的片段列表
|
||
save_signal_path = save_processed_signal_path / f"{samp_id}_Processed_Signals.npz"
|
||
save_segment_path = save_segment_list_path / f"{samp_id}_Segment_List.npz"
|
||
|
||
bcg_data = {
|
||
"bcg_signal_notch": {
|
||
"name": "BCG_Signal_Notch",
|
||
"data": bcg_signal_notch,
|
||
"fs": signal_fs,
|
||
"length": len(bcg_signal_notch),
|
||
"second": len(bcg_signal_notch) // signal_fs
|
||
},
|
||
"bcg_signal":{
|
||
"name": "BCG_Signal_Raw",
|
||
"data": bcg_signal,
|
||
"fs": bcg_fs,
|
||
"length": len(bcg_signal),
|
||
"second": len(bcg_signal) // bcg_fs
|
||
},
|
||
"resp_signal": {
|
||
"name": "Resp_Signal",
|
||
"data": normalized_resp_signal,
|
||
"fs": resp_fs,
|
||
"length": len(normalized_resp_signal),
|
||
"second": len(normalized_resp_signal) // resp_fs
|
||
}
|
||
}
|
||
|
||
np.savez_compressed(save_signal_path, **bcg_data)
|
||
np.savez_compressed(save_segment_path,
|
||
segment_list=segment_list)
|
||
print(f"Saved processed signals to: {save_signal_path}")
|
||
print(f"Saved segment list to: {save_segment_path}")
|
||
|
||
if draw_segment:
|
||
psg_data = utils.read_psg_channel(psg_signal_root_path / f"{samp_id}", [1, 2, 3, 4, 5, 6, 7, 8])
|
||
psg_data["HR"] = {
|
||
"name": "HR",
|
||
"data": signal_method.rpeak2hr(psg_data["Rpeak"]["data"], psg_data["ECG_Sync"]["length"]),
|
||
"fs": psg_data["ECG_Sync"]["fs"],
|
||
"length": psg_data["ECG_Sync"]["length"],
|
||
"second": psg_data["ECG_Sync"]["second"]
|
||
}
|
||
|
||
|
||
psg_label = utils.read_psg_label(sa_label_corrected_path)
|
||
psg_event_mask, _ = utils.generate_event_mask(event_df=psg_label, signal_second=psg_data["ECG_Sync"]["second"], use_correct=False)
|
||
draw_tools.draw_psg_bcg_label(psg_data=psg_data,
|
||
psg_label=psg_event_mask,
|
||
bcg_data=bcg_data,
|
||
event_mask=event_mask,
|
||
segment_list=segment_list)
|
||
|
||
|
||
if __name__ == '__main__':
|
||
yaml_path = project_root_path / "dataset_config/HYS_config.yaml"
|
||
|
||
conf = utils.load_dataset_conf(yaml_path)
|
||
select_ids = conf["select_ids"]
|
||
root_path = Path(conf["root_path"])
|
||
mask_path = Path(conf["mask_save_path"])
|
||
save_path = Path(conf["dataset_config"]["dataset_save_path"])
|
||
dataset_config = conf["dataset_config"]
|
||
|
||
save_processed_signal_path = save_path / "Signals"
|
||
save_processed_signal_path.mkdir(parents=True, exist_ok=True)
|
||
|
||
save_segment_list_path = save_path / "Segments_List"
|
||
save_segment_list_path.mkdir(parents=True, exist_ok=True)
|
||
|
||
save_processed_label_path = save_path / "Labels"
|
||
save_processed_label_path.mkdir(parents=True, exist_ok=True)
|
||
|
||
print(f"select_ids: {select_ids}")
|
||
print(f"root_path: {root_path}")
|
||
print(f"save_path: {save_path}")
|
||
|
||
org_signal_root_path = root_path / "OrgBCG_Aligned"
|
||
psg_signal_root_path = root_path / "PSG_Aligned"
|
||
|
||
build_HYS_dataset_segment(select_ids[0], show=False, draw_segment=True)
|
||
#
|
||
# for samp_id in select_ids:
|
||
# print(f"Processing sample ID: {samp_id}")
|
||
# build_HYS_dataset_segment(samp_id, show=False) |