diff --git a/__pycache__/global_var.cpython-310.pyc b/__pycache__/global_var.cpython-310.pyc
index a449da5..3b60dec 100644
Binary files a/__pycache__/global_var.cpython-310.pyc and b/__pycache__/global_var.cpython-310.pyc differ
diff --git a/__pycache__/processing.cpython-310.pyc b/__pycache__/processing.cpython-310.pyc
index f217b23..9c9d07e 100644
Binary files a/__pycache__/processing.cpython-310.pyc and b/__pycache__/processing.cpython-310.pyc differ
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