Update README.md

README.md

@@ -16,9 +16,9 @@ Deep learning models have shown remarkable performance in electrocardiogram (ECG
 ## Models
 This repository contains:
 - pre-trained SMALL/BASE/LARGE model sizes ready to be fine-tuned on downstream datasets
-- SMALL/BASE/LARGE model sizes fine-tuned on $Cardio-Learning^{*}$ for a more disease-oriented baseline for futher fine-tuning
+- SMALL/BASE/LARGE model sizes fine-tuned on Cardio-Learning for a more disease-oriented baseline for futher fine-tuning
 
-$ _{*}$ Cardio-Learning is the name we gave to the union of several 12-lead ECG datasets including PTB, PTB-XL, CPSC, CPSC-Extra, Georgia, Chapman, Ningbo, SPH, CODE, SaMi-Trop, Hefei.
+Cardio-Learning is the name we gave to the union of several 12-lead ECG datasets including PTB, PTB-XL, CPSC, CPSC-Extra, Georgia, Chapman, Ningbo, SPH, CODE, SaMi-Trop, Hefei.
 This dataset, counting 2.4 million ECGs from millions of patients in 4 countries, encompasses 164 different heart-related conditions regardless of the diagnostic role of the ECG
 
 ## 📚 Citation