You can deploy this model and start earning money today!

Ambiq/
compressionkit-ecg-spiht-16x-v1.0

Name: compressionkit-ecg-spiht-16x-v1.0
Rating: 2.5 (10 reviews)

Views

No views yet

compressionkit-ecg-spiht-16x

A ECG signal compression codec built on wavelet + SPIHT + arithmetic coding. DSP-only — no trained weights. The deployable artifact is the bitstream contract plus a portable C99 reference implementation.

Operating point

Field	Value
Modality	ECG
Sample rate	256 Hz
Frame size	512 samples
Target CR	16x
Wavelet	`bior4.4`
DWT levels	6
Bit budget	512 bits/frame
Entropy coder	arithmetic coding

Quality metrics

Fidelity & Robustness

Both fidelity yardsticks are reported so the codec is judged fairly: faithfulness is PRD vs the recorded (still-noisy) input, while truth fidelity is PRD vs clean ground truth. Lower is better.

Metric	Value
Truth PRD vs clean (%)	6.16
Truth PRD at native noise (%)	38.75
Faithful PRD vs input (%)	8.83
PRD degradation slope (PRD%/dB)	3.95
PRD at 0 dB SNR (%)	52.21
PRD at -6 dB SNR (%)	80.21
Pure-noise imprint autocorr	0.2473

Time Domain

PRD here is faithfulness (vs the recorded input); see Fidelity & Robustness above for the clean-truth and noise-regime view.

Metric	Mean	Median	P90
PRD vs input — faithfulness (%)	8.8308	7.5208	14.7345
RMSE	0.0883	0.0752	0.1473
Cosine Similarity	0.9946	0.9972	0.9990

Spectral

Band Total Relative Error (median): 0.0662

Bitrate

Python quickstart

python

from compressionkit.runtime import load_codec

codec = load_codec("Ambiq/compressionkit-ecg-spiht-16x")
enc = codec.compress(frame)   # frame: (frame_size,) float32
recon = codec.decompress(enc)

C quickstart

#include "spiht_app_config.h"

float frame[APP_SPIHT_FRAME_SIZE];
uint8_t bitstream[APP_SPIHT_MAX_BYTES];
/* ... fill frame from sensor (post-denoise, if hybrid) ... */
size_t nbits = spiht_encode_frame(&enc, bitstream, APP_SPIHT_MAX_BITS);

Files

File	Description
`config.json`	Deploy manifest (`family: "spiht"`)
`spiht_config.json`	Codec parameters (language-neutral)
`sample_stimulus.npz`	Synthetic test frames
`reference_vectors.npz`	Reference encode/decode vectors
`c_sources/spiht.[ch]`	Portable C99 reference
`c_sources/spiht_app_config.h`	Codec-specific defines
`model_card.json`	Provenance metadata
`scorecard.json`	Frozen evaluation summary

Dataset & license

Evaluation data: PTB-XL (CC BY 4.0). Sample data may include excerpts under the original license terms.

Codec source released under the APACHE-2.0 license.

Citation

bibtex

@software{compressionkit,
  author = {Ambiq AI},
  title = {compressionKIT: Signal Compression for Edge AI},
  url = {https://github.com/AmbiqAI/compressionkit}
}

Ambiq/compressionkit-ecg-spiht-16x-v1.0