中風患者 8通道 Support-CSP Bootstrap 左右腳分類

34 位未評估正常人只用於 episodic base model;每位患者在自己的 outer-train trials 建 CSP/prototype 並 fine-tune。Raw → 1–40 Hz zero-phase IIR → 200 Hz → 0–2 s → trial/channel Z-score;不使用 ASR、ICA 或 EA。

群組結果

設定模型Accuracy mean ± STDBACC
20 Left + 20 RightEEGNet65.40% ± 11.04%65.40%
20 Left + 20 RightShallowConvNet72.00% ± 14.52%72.00%
20 Left + 20 RightSupport-CSP episodic73.40% ± 14.69%73.40%
All trialsEEGNet75.58% ± 17.18%75.48%
All trialsShallowConvNet80.61% ± 15.88%80.65%
All trialsSupport-CSP episodic81.71% ± 14.84%81.69%

個別患者

患者設定模型Accuracy mean ± STD
pat120+20EEGNet78.50% ± 19.61%
pat220+20EEGNet75.00% ± 15.31%
pat320+20EEGNet52.00% ± 15.60%
pat420+20EEGNet61.50% ± 20.06%
pat520+20EEGNet60.00% ± 15.31%
pat120+20ShallowConvNet63.50% ± 20.70%
pat220+20ShallowConvNet89.50% ± 10.00%
pat320+20ShallowConvNet52.00% ± 10.63%
pat420+20ShallowConvNet79.00% ± 10.66%
pat520+20ShallowConvNet76.00% ± 16.89%
pat120+20Support-CSP episodic62.50% ± 20.41%
pat220+20Support-CSP episodic87.50% ± 10.21%
pat320+20Support-CSP episodic53.50% ± 12.77%
pat420+20Support-CSP episodic84.00% ± 13.75%
pat520+20Support-CSP episodic79.50% ± 13.44%
pat1AllEEGNet79.24% ± 7.91%
pat2AllEEGNet92.32% ± 3.46%
pat3AllEEGNet46.48% ± 5.86%
pat4AllEEGNet80.83% ± 8.83%
pat5AllEEGNet79.02% ± 12.52%
pat1AllShallowConvNet75.13% ± 8.59%
pat2AllShallowConvNet95.61% ± 1.84%
pat3AllShallowConvNet56.57% ± 6.93%
pat4AllShallowConvNet93.80% ± 4.00%
pat5AllShallowConvNet81.96% ± 8.81%
pat1AllSupport-CSP episodic80.83% ± 6.49%
pat2AllSupport-CSP episodic95.47% ± 1.49%
pat3AllSupport-CSP episodic57.52% ± 6.90%
pat4AllSupport-CSP episodic91.97% ± 4.48%
pat5AllSupport-CSP episodic82.75% ± 6.47%

資料

fold results · patient summary · group summary