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Update README.md

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@@ -4,6 +4,9 @@ language:
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  - en
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  library_name: pytorch
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  tags:
 
 
 
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  - biosignals
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  - multimodal model
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  - time-series
@@ -23,7 +26,6 @@ datasets:
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  - PTB-XL
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  - CSN
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  - HMC
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- - WESAD
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  metrics:
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  - balanced_accuracy
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  - roc_auc
@@ -31,9 +33,10 @@ metrics:
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  - weighted_f1
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  - cohen_kappa
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  model index:
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- - name: PanLUNA (Full Fine-Tuning)
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  results:
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  - task:
 
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  type: time-series-classification
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  name: EEG Abnormality Detection
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  dataset:
@@ -49,5 +52,77 @@ model index:
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  - type: pr_auc
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  value: 0.899
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  name: AUC-PR
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  - en
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  library_name: pytorch
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  tags:
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+ - eeg
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+ - ppg
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+ - ecg
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  - biosignals
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  - multimodal model
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  - time-series
 
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  - PTB-XL
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  - CSN
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  - HMC
 
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  metrics:
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  - balanced_accuracy
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  - roc_auc
 
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  - weighted_f1
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  - cohen_kappa
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  model index:
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+ - name: PanLUNA
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  results:
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  - task:
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+ finetuning: Full
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  type: time-series-classification
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  name: EEG Abnormality Detection
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  dataset:
 
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  - type: pr_auc
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  value: 0.899
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  name: AUC-PR
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+ - task:
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+ finetuing: Full
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+ type: time-series-classification
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+ name: EEG Sleep Stage Classification
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+ dataset:
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+ type: HMC
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+ name: Haaglanden Medisch Centrum sleep staging database
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+ metrics:
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+ - type: balanced_accuracy
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+ value: 0.742
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+ name: Balanced Accuracy (%)
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+ - type: cohen_kappa
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+ value: 0.695
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+ name: Cohen's Kappa
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+ - type: weighted_f1
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+ value: 0.766
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+ name: Weighted F1
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+ - task:
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+ finetuning: Low-Rank Adaptation (LoRA)
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+ type: time-series-classification
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+ name: ECG PTB-XL Super Class
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+ dataset:
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+ type: PTB-XL
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+ name: PTB-XL, a large publicly available electrocardiography dataset
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+ metrics:
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+ - type: roc_auc
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+ value: 0.908
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+ name: AUROC
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+ - task:
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+ finetuning: Low-Rank Adaptation (LoRA)
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+ type: time-series-classification
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+ name: ECG PTB-XL Sub Class
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+ dataset:
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+ type: PTB-XL
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+ name: PTB-XL, a large publicly available electrocardiography dataset
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+ metrics:
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+ - type: roc_auc
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+ value: 0.888
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+ name: AUROC
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+ - task:
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+ finetuning: Low-Rank Adaptation (LoRA)
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+ type: time-series-classification
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+ name: ECG PTB-XL Form
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+ dataset:
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+ type: PTB-XL
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+ name: PTB-XL, a large publicly available electrocardiography dataset
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+ metrics:
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+ - type: roc_auc
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+ value: 0.833
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+ name: AUROC
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+ - task:
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+ finetuning: Low-Rank Adaptation (LoRA)
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+ type: time-series-classification
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+ name: ECG PTB-XL Rhythm
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+ dataset:
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+ type: PTB-XL
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+ name: PTB-XL, a large publicly available electrocardiography dataset
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+ metrics:
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+ - type: roc_auc
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+ value: 0.964
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+ name: AUROC
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+ - task:
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+ finetuning: Low-Rank Adaptation (LoRA)
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+ type: time-series-classification
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+ name: ECG CSN
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+ dataset:
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+ type: CSN
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+ name: Chapman-Shaoxing-Ningbo
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+ metrics:
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+ - type: roc_auc
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+ value: 0.950
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+ name: AUROC
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  ---