Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series
Paper โข 2607.04245 โข Published
This repository hosts the pre-trained checkpoints used in the SensorGen study ("Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series").
| Checkpoint | Task | Dataset |
|---|---|---|
text2ecg.pt |
Text-to-ECG | MIMIC-IV ECG |
bp_translation.pt |
PPG and NIBP to invasive BP | VitalDB |
Pair this checkpoint repository with the GitHub code release at yang-ai-lab/SensorGen.
from huggingface_hub import hf_hub_download
ckpt_path = hf_hub_download(
repo_id="yang-ai-lab/SensorGen",
filename="text2ecg.pt",
)
hf download yang-ai-lab/SensorGen --local-dir ./ckpts
| Task | Target x |
C ร T | c_1 (sparse) |
c_2 (dense) |
|---|---|---|---|---|
| Text-to-ECG | 12-lead ECG, 10 s @ 100 Hz | 12 ร 1,000 | Free-text ECG report (CLIP-encoded) | โ |
| PPG โ invasive BP | Arterial blood pressure, 30 s @ 50 Hz | 1 ร 1,500 | 6-D non-invasive BP statistics | PPG waveform, 1 ร 1,500 |
Neither MIMIC-IV ECG nor VitalDB are redistributed in this repository. Credentialed access is required from the original data providers:
Preprocessing pipelines that convert the raw releases into the HDF5 layout consumed by these checkpoints are documented in the GitHub README.
If you use any of these checkpoints, please cite the SensorGen paper:
@article{shuai2026sensorgen,
title={Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series},
author={Shuai, Zitao and Xu, Zongzhe and Wu, Yuntian and Li, Sirui and Li, Tianhong and Yang, Yuzhe},
journal={arXiv preprint arXiv:2607.04245},
year={2026}
}
This release is distributed under the MIT License.