Yorusora/Signal_Label_Reborn
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1、修改了<数据粗同步>的tempfrequency的设置

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Yorusora
2025-05-11 16:38:33 +08:00
parent 487932f8b6
commit 501e13205e
1 changed files with 8 additions and 8 deletions
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16
func/Module_approximately_align.py
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@ -931,19 +931,19 @@ class Data:
def Standardize_2(self): def Standardize_2(self):
# 预重采样 # 预重采样
try: try:
# 如果orgBcg采样率大于PSG采样率，那么orgBcg重采样到PSG采样率
if Config["InputConfig"]["orgBcgFreq"] > Config["InputConfig"]["ThoFreq"]:
# 用[::]完成
self.processed_orgBcg = self.processed_orgBcg[::int(Config["InputConfig"]["orgBcgFreq"] / Config["InputConfig"]["ThoFreq"])]
# 如果orgBcg采样率小于PSG采样率，那么orgBcg重采样到PSG采样率
elif Config["InputConfig"]["orgBcgFreq"] < Config["InputConfig"]["ThoFreq"] < 100:
# 用repeat完成
self.processed_orgBcg = repeat(self.processed_orgBcg, int(Config["InputConfig"]["ThoFreq"] / Config["InputConfig"]["orgBcgFreq"]), axis=0)
# 修改Config # 修改Config
if Config["InputConfig"]["ThoFreq"] < Config["InputConfig"]["AbdFreq"]: if Config["InputConfig"]["ThoFreq"] < Config["InputConfig"]["AbdFreq"]:
Config.update({"TempFrequency": Config["InputConfig"]["ThoFreq"]}) Config.update({"TempFrequency": Config["InputConfig"]["ThoFreq"]})
else: else:
Config.update({"TempFrequency": Config["InputConfig"]["AbdFreq"]}) Config.update({"TempFrequency": Config["InputConfig"]["AbdFreq"]})
# 如果orgBcg采样率大于PSG采样率，那么orgBcg重采样到PSG采样率
if Config["InputConfig"]["orgBcgFreq"] > Config["TempFrequency"]:
# 用[::]完成
self.processed_orgBcg = self.processed_orgBcg[::int(Config["InputConfig"]["orgBcgFreq"] / Config["TempFrequency"])]
# 如果orgBcg采样率小于PSG采样率，那么orgBcg重采样到PSG采样率
elif Config["InputConfig"]["orgBcgFreq"] < Config["TempFrequency"]:
# 用repeat完成
self.processed_orgBcg = repeat(self.processed_orgBcg, int(Config["TempFrequency"] / Config["InputConfig"]["orgBcgFreq"]), axis=0)
except Exception: except Exception:
return Result().failure(info=Constants.APPROXIMATELY_PRE_ALIGN_RESAMPLE_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON["Pre_Resample_Exception"]) return Result().failure(info=Constants.APPROXIMATELY_PRE_ALIGN_RESAMPLE_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON["Pre_Resample_Exception"])