Imperial College London (Davies et al.)
GPT-style decoder-only Transformer pretrained via next-token prediction on tokenized PPG time series, the companion model to ECG-PT (HeartGPT) in the same repository. Individual attention heads respond to physiologically meaningful waveform features such as the dicrotic notch, and the model can be fine-tuned for wearable-based cardiac screening tasks. Developed at Imperial College London.
Architecture
Transformer
GPT-style decoder-only transformer pretrained via next-token prediction on tokenized PPG time series
Framework
PyTorch
Added to catalog
2026-07-10
MIT
License for model weights only. Associated code may be licensed seperately, check code source for specific terms.
Imperial College HeartGPT PPG pretraining corpus
Large-scale tokenized photoplethysmography corpus used for next-token pretraining; constituent source datasets are not fully disclosed.
Autoregressively generated continuation of a tokenized PPG time series (also usable as a general-purpose pretrained representation)