Model family 04 of 04
Forecasting
Forecasting models use past measurements to estimate how a physiological signal will evolve. Records are only listed here when the source explicitly reports forecasting of future signal trajectories, not just classification or regression.
Past → future- Models
- 2
- Open weights
- 2
- Benchmarks
- 0
- Years
- 2026
- PPG · 2
- ECG · 2
- EEG · 2
- IMU · 1
- BP · 1
- Resp · 1
2 forecasting models
Newest first · one primary role per record
Datasets these models use
All datasets
WESADUsed by NormWear-2, SOTERWearable Stress and Affect Detection15 subjects · PPG · ECG · IMU
ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic EnvironmentsUsed by SOTER17 subjects · PPG · ECG · IMU
VitalDBUsed by NormWear-2intraoperative multi-parameter vitals (PhysioNet mirror)6,388 subjects · PPG · ECG · BP
Families are editorial primary-role groupings reviewed against each model record, not an architecture taxonomy. A model appears in one family even when it could fit more than one. Diagrams are conceptual.
Other families
Browse model families
Flow previews are paused. Each diagram shows the complete process.
0143 modelsSignal encodersEncode a waveform into features for downstream tasks.Explore models0222 modelsMultimodalLearn relationships across pulse, heart and motion signals.Explore models0316 modelsSensor–languageAlign recordings with text for retrieval or interpretation.Explore models042 modelsForecastingUse past measurements to estimate what may come next.You are here
Conceptual diagrams, not model architectures. One primary role per record; families can overlap.
Other / unclassified 79