Pith Number

pith:YU7OVAEM

pith:2026:YU7OVAEMRH5IHPDV2JGXGP4P4V

not attested not anchored not stored refs pending

Enhancing AI-Based ECG Delineation with Deep Learning Denoising Techniques

Emil Walleser, Jeff Breeding-Allison

An autoencoder neural network denoises canine ECG signals while preserving features needed for accurate delineation.

arxiv:2605.03183 v2 · 2026-05-04 · cs.LG · eess.SP

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{YU7OVAEMRH5IHPDV2JGXGP4P4V}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We propose an autoencoder-based neural network model and training strategy for ECG denoising as a preprocessing step for canine ECG analysis. [...] Our approach demonstrates strong performance across both noisy and clean ECG recordings, indicating robustness to varying signal conditions and suitability for downstream delineation tasks.

C2weakest assumption

That an autoencoder trained to reconstruct clean signals from noisy inputs will reliably preserve diagnostically important morphological features while suppressing diverse real-world noise patterns in canine ECGs.

C3one line summary

An autoencoder-based deep learning model is proposed to denoise canine ECGs while preserving features needed for accurate downstream delineation.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:02:12.369457Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c53eea808c89fa83bc75d24d733f8fe56c7ce76e7b9b638f0451a4bd36746570

Aliases

arxiv: 2605.03183 · arxiv_version: 2605.03183v2 · doi: 10.48550/arxiv.2605.03183 · pith_short_12: YU7OVAEMRH5I · pith_short_16: YU7OVAEMRH5IHPDV · pith_short_8: YU7OVAEM

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/YU7OVAEMRH5IHPDV2JGXGP4P4V \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: c53eea808c89fa83bc75d24d733f8fe56c7ce76e7b9b638f0451a4bd36746570

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f8aea47f6f46a8d2658d640e34f9c6271338afc4f6426c696e1e598a27b33d87",
    "cross_cats_sorted": [
      "eess.SP"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-04T21:52:04Z",
    "title_canon_sha256": "f6b4fb627c9fa925aebada9b8504dd14b2e7af176cb742eecdae4b4c68078936"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.03183",
    "kind": "arxiv",
    "version": 2
  }
}