BrainData/预处理.ipynb

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      "Creating RawArray with float64 data, n_channels=30, n_times=440\n",
      "    Range : 0 ... 439 =      0.000 ...     0.399 secs\n",
      "Ready.\n",
      "Opening raw-browser...\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import mne\n",
    "import matplotlib.pyplot as plt\n",
    "data = np.load(\"ABMD_results3.npy\", allow_pickle=True).item()\n",
    "# 获取data字典中的eeg键的第一个元素\n",
    "sample = data['data'][0]\n",
    "# 创建一个列表，其中包含30个eeg1到eeg30的名称\n",
    "channels = [f\"eeg{i}\" for i in range(1, 31)]\n",
    "# 创建一个列表，其中包含30个eeg类型的元素\n",
    "channel_types = [\"eeg\"] * 30\n",
    "# 使用mne模块创建一个info对象，其中包含上面创建的channels和channel_types列表\n",
    "info = mne.create_info(ch_names=channels,\n",
    "                       sfreq=1100,\n",
    "                       ch_types=channel_types)\n",
    "# 使用mne模块创建一个RawArray对象，其中包含sample和info对象\n",
    "raw = mne.io.RawArray(sample, info)\n",
    "fig = raw.plot(start=0, duration=10, color='b', scalings='auto')\n",
    "# plt.show()\n",
    "# plt.savefig(\"ABMD_results3.png\")\n",
    "\n",
    "\n"
   ]
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