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Subspace Learning with Interval-Censored Likelihoods for Dequantizing Percept PC LFP Snapshots — arXiv:2609.22658

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.22658
License (as archived): CC0-1.0
Archived: 2026-10-10T00:58:03.792Z
SHA-256 of the archived text: 0ac0a083102733663b74416c2797c43d963d81b05fc763326db6e7c82a8620f6
Stable URL of this page: https://metraipolis.com/documento/dc_4dd68612e37d

How to cite

Subspace Learning with Interval-Censored Likelihoods for Dequantizing Percept PC LFP Snapshots — arXiv:2609.22658 — arXiv (en), https://arxiv.org/abs/2609.22658 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_4dd68612e37d (Metraipolis archive dc_4dd68612e37d, sha256 0ac0a083102733663b74416c2797c43d963d81b05fc763326db6e7c82a8620f6)

BibTeX

@misc{dc4dd68612e37d,
  title = {Subspace Learning with Interval-Censored Likelihoods for Dequantizing Percept PC LFP Snapshots — arXiv:2609.22658},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.22658},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_4dd68612e37d; sha256 0ac0a083102733663b74416c2797c43d963d81b05fc763326db6e7c82a8620f6},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.22658. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Implanted neurostimulators that sense local field potentials now enable chronic electrophysiology based biomarker tracking in patients at home. The Medtronic Percept PC, the only commercially available sensing-enabled deep brain stimulation (DBS) device, stores spectral amplitudes as 16-bit integers at approximately 0.1 $\mu$V per bit (quantum $q \approx 0.11$ $\mu$Vp). At frequencies where the true amplitude spans only a few quantization levels, consecutive bins round to the same stored value. Standard spectral parameterization (FOOOF, fitting oscillations and one over f), which separates periodic peaks from the aperiodic 1/f activity, treats every value as exact and fits oscillatory peaks to these plateaus. Because these spectra feed clinical biomarker pipelines and spectral foundation models for symptom decoding, spurious peaks can corrupt downstream inference. Across 9,438 spectra from 14 hemispheres in 7 subcallosal cingulate DBS patients, 20.6% of peaks detected at [2, 45] Hz have no match in ground truth synthesized by quantizing clean in-clinic BrainSense recordings, while aggregate beta band power and the aperiodic exponent are preserved. We formalize dequantization as interval-censored subspace estimation and compare five classes of correction methods. Quantized probabilistic PCA is the only tested method that reduces the spurious rate (20.6% to 18.3%) while preserving true peak detection and keeping noise floor RMSE below $q/\sqrt{12}$.

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-09-22 in eess.SP).
Categorie arXiv: Signal Processing (eess.SP) ; Machine Learning (stat.ML).
Pagina del lavoro: https://arxiv.org/abs/2609.22658 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-09T23:57:50.926Z dalla pagina https://arxiv.org/catchup/eess.SP/2026-09-22?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).