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Model family 01 of 04

Signal encoders

Signal encoders read one stream of wearable data, such as a PPG, ECG or accelerometer recording, and turn it into a compact set of features. Those features are then reused for heart rate, blood pressure, arrhythmia, activity or sleep tasks, usually with a small task head or linear probe.

Signal → features
Models
43
Open weights
19
Benchmarks
12+
Years
21–26
  • PPG · 18
  • IMU · 16
  • ECG · 10
  • Glucose · 2
  • wearable time series · 1
  • SpO₂ · 1
01
Conceptual diagram of the family's data flow, not a model architecture.

43 signal encoders models

Newest first · one primary role per record

Where these models are benchmarked

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Datasets these models use

All datasets

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

All 162 models

Flow previews are paused. Each diagram shows the complete process.

0143 modelsSignal encodersEncode a waveform into features for downstream tasks.You are here0222 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.Explore models

Conceptual diagrams, not model architectures. One primary role per record; families can overlap.

Other / unclassified 79