Supported Signal Types

compressionKIT is designed for physiological signal compression — signals that originate from the human body and are captured by wearable or clinical sensors. These signals share common properties that make them good candidates for learned compression:

• Quasi-periodic — heartbeat-driven repetitive structure
• Low bandwidth — typically 0.5–40 Hz of useful content
• Low sampling rates — 64–500 Hz (compared to audio at 44 kHz)
• High redundancy — temporal and morphological redundancy across beats

Currently Supported

Signal	Module	Sampling Rate	Frame Size	Status
PPG	compressionkit.datasets.ppg	64 Hz	320 (5 s)	RVQ, SPIHT and hybrid configurations — models
ECG	compressionkit.datasets.ptbxl	256 Hz	512 (2 s)	RVQ, SPIHT and hybrid configurations — models

PPG Section

These pages cover the PPG signal path:

1. PPG for signal context and preprocessing details.
2. PPG Workflow for the end-to-end supported task.
3. PPG Models (v1.1 exports) for the five golden reference operating points.
4. PPG Codec Demo for the browser and hardware evaluation experience.

ECG Section

These pages cover the ECG signal path:

1. ECG for signal context and preprocessing details.
2. ECG Models (v1.1 exports) for the six golden reference operating points.

Signal Properties Comparison

Property	PPG	ECG
Typical bandwidth	0.5–8 Hz	0.5–40 Hz
Morphology	Smooth, pulse-shaped	Sharp QRS complexes
Compression challenge	Preserve pulse shape	Preserve QRS timing & amplitude
Example downstream measurements	HR, SpO2, HRV	HR, HRV, ST-segment, arrhythmia
Typical sensor	Optical (wrist/finger)	Electrode (chest/wrist)