From 67a817fd01cdf8a2cc326df4b76241de38b50a34 Mon Sep 17 00:00:00 2001
From: xdandanlol <358056480@qq.com>
Date: Thu, 27 Feb 2025 14:13:37 +0800
Subject: [PATCH] =?UTF-8?q?=E8=BF=99=E6=98=AF=E9=92=88=E5=AF=B9pulse-trans?=
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Content-Type: text/plain; charset=UTF-8
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---
 __pycache__/global_var.cpython-310.pyc | Bin 350 -> 349 bytes
 __pycache__/processing.cpython-310.pyc | Bin 6179 -> 6179 bytes
 global_var.py                          |   6 +++---
 processing.py                          |   2 +-
 4 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/__pycache__/global_var.cpython-310.pyc b/__pycache__/global_var.cpython-310.pyc
index a449da51289343f704f79672bd919901e39e509b..3b60decb341f3247ca98e1674eb4fec484651f6a 100644
GIT binary patch
delta 33
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delta 34
ocmcc1bdQNQpO=@50SH>mcBU_y$Xm=gfsuhBioMv#Xky1z0G!nctpET3

diff --git a/__pycache__/processing.cpython-310.pyc b/__pycache__/processing.cpython-310.pyc
index f217b23a11439ccd3e915fea6e7c34e2b32b73c9..9c9d07e6ea98211f186d15b93200243fe4d2e0a1 100644
GIT binary patch
delta 57
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J{wJ!+1OQiG3D*Ds

delta 57
zcmZ2%u-Je%pO=@50SNY5?nqy=k@t$IERz^B8#5at2nsMtG0HG<F!M0-Fmf^SG4U{M
J{wJ!+1OQ6F35fsz

diff --git a/global_var.py b/global_var.py
index 336f6a2..0fa6938 100644
--- a/global_var.py
+++ b/global_var.py
@@ -3,9 +3,9 @@ def global_var_init():
     # 设置周期，采样频率，记录名称
     global cycle, fs_ecg, fs_ppg, record_name, record_name_csv
 
-    cycle = 400 # 此处限制的是生成txt文件中的周期，而预处理时会处理全部周期
-    record_name = "s22_sit"
-    record_name_csv = "s22_sit"
+    cycle = 370 # 此处限制的是生成txt文件中的周期，而预处理时会处理全部周期
+    record_name = "s1_sit"
+    record_name_csv = "s1_sit"
     fs_ecg = 500
     fs_ppg = 500
     
diff --git a/processing.py b/processing.py
index ed174c2..ae21a4f 100644
--- a/processing.py
+++ b/processing.py
@@ -66,7 +66,6 @@ def processing():
 
     # 加载原始PPG信号
     signal = load_data(data_path = data_path, fs=fs_ppg, use_tk=False)
- 
     signal.v = -signal.v[:, 3]  # 可用-1将信号取反便于查看,后面是列的索引位置（信道）,可调整
 
     # 创建时间向量
@@ -88,6 +87,7 @@ def processing():
     fiducials_df = pd.DataFrame(fiducials)
     # 提取行的数据（注意：Pandas的索引是从0开始的）
     rows_to_extract = fiducials_df.iloc[1:-1]  # 提取第1到最后1行
+
     # 归一化
     signal.ppg = normalize(signal.ppg)
     signal.ppg = np.array(signal.ppg, dtype=np.float64)  # 强制转换