diff --git a/Decoder.py b/Decoder.py
index 73a1e9e..6aa4bec 100644
--- a/Decoder.py
+++ b/Decoder.py
@@ -157,8 +157,8 @@ class Decoder_main(threading.Thread):
         #     self.blink_b, self.blink_a = signal.butter(4, [self.l_freq / (self.device_info['sample_rate'] / 2), self.h_freq / (self.device_info['sample_rate'] / 2)], btype='band')
 
     def parameter_init(self,bandPass_low,bandPass_high):
-        self.interval_epoch = [int(i * self.device_info['sample_rate']) for i in self.interval_epoch]  # epoch截取信息
-        self.train_epoch = [int(self.interval_epoch[0]), int(self.interval_epoch[1] + 0.1 * self.device_info['sample_rate'])]  # 训练样本epoch
+        self.interval_epoch = [int(i * self.device_info['sample_rate']) for i in self.interval_epoch]  # epoch截取信息 ssmvep [50, 550]
+        self.train_epoch = [int(self.interval_epoch[0]), int(self.interval_epoch[1] + 0.1 * self.device_info['sample_rate'])]  # 训练样本epoch ssmevep [50, 575]
         self.trainData = [] #训练数据
         self.trainLabel = [] #训练标签
         self.plotData = [] #报告分析数据
@@ -287,9 +287,9 @@ class Decoder_main(threading.Thread):
                 if trainTrial.shape[1] == (self.train_epoch[1] - self.train_epoch[0]) and isinstance(
                         self.trainLabel, list) \
                         and self.trainLabel.count(self.currentLabel) < self.single_train:
-                    algo_log(f"SSMVEP训练集：{np.shape(self.trainData)}", level="DEBUG")
                     self.trainData.append(trainTrial)
                     self.trainLabel.append(self.currentLabel)
+                    algo_log(f"SSMVEP训练集：{np.shape(self.trainData)}", level="DEBUG")
             else:
                 time.sleep(0.0001)
                 return
diff --git a/README.md b/README.md
index 5e4e402..e5f05dc 100644
--- a/README.md
+++ b/README.md
@@ -38,4 +38,6 @@ python upperHost_stimmock/MI_headless.py
 
 # debug log
 ## MI
-Epoch采集完成|收到命令: {'method': 'train'|取出的
\ No newline at end of file
+Epoch采集完成|收到命令: {'method': 'train'|取出的
+
+收到命令: {'method': 'train'|收到命令: {'method': 'train'|收到命令: {'method': 'predict'|事件检测到
\ No newline at end of file