pith:TUNK2NNU
Physics-driven Sonification for Improving Multisensory Needle Guidance in Percutaneous Epicardial Access
Multisensory sonification using a physical membrane model improves needle safety and accuracy for pericardial access over visual guidance alone.
arxiv:2604.06911 v1 · 2026-04-08 · cs.HC
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\usepackage{pith}
\pithnumber{TUNK2NNUORX3BXXVXQ5UQYDMB2}
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Record completeness
Claims
The multisensory method significantly improved navigation safety (χ² = 11.30, p < 0.01), reducing myocardial contact (3.64% vs. 7.27%) and increasing correct access (90.91% vs. 52.73%). Needle placement accuracy improved, with closer membrane proximity (Cliff delta = 0.19) and reduced variability (p < 0.05). NASA-TLX indicated lower cognitive load with multisensory guidance (p < 0.01).
The phantom model and 4D CTA registration sufficiently replicate real clinical challenges of a moving heart under fluoroscopy, including tissue acoustics and needle-tissue interactions, so that observed improvements will translate to live patients.
Physics-driven sonification via a multilayer membrane model improves needle navigation safety, accuracy, and reduces cognitive load in a cardiologist phantom study for pericardial access.
References
Receipt and verification
| First computed | 2026-05-27T01:05:53.939207Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9d1aad35b4746fb0def5bc3b48606c0e8e168fb555f50de2c34c3ff8cd9cc3cb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TUNK2NNUORX3BXXVXQ5UQYDMB2 \
| 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: 9d1aad35b4746fb0def5bc3b48606c0e8e168fb555f50de2c34c3ff8cd9cc3cb
Canonical record JSON
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