N2G calibrator: a cross-subject adversarial learning framework for neural signal-driven gait tracking in Parkinson's disease.

Overview

Authors: Jin Woo Choi¹, Helen M. Bronte-Stewart^1,2

ORCID iDs: Jin Woo Choi, Helen M. Bronte-Stewart

Department of Neurology & Neurological Sciences, Stanford University School of Medicine,Stanford, CA USA
Department of Neurosurgery, Stanford University School of Medicine,Stanford, CA USA

Institutions: Stanford University (United States)

Journal: Communications engineering, volume 5, issue 1, article 146

Dates: received 13 December 2025; accepted 30 April 2026; published online 18 May 2026

Type: Research article · Language: English

License: CC BY-NC-ND

Identifiers: DOI 10.1038/s44172-026-00688-3 · PMID 42151559 · PMCID PMC13443168 · OpenAlex W7161539958

Open access: gold, a free copy (OpenAlex)

Status: code on request

Categories: Parkinson's (population)

Methods: Spectral & time-frequency, Connectivity, Statistics, Machine learning

Keywords: Neuroscience, Health care, Biotechnology

Topic: Balance, Gait, and Falls Prevention (Physical Therapy, Sports Therapy and Rehabilitation, Health Professions), according to OpenAlex

Funding: NINDS (UG3NS128150, UH3NS128150, UH3NS107709); Robert and Ruth Halperin Foundation John A. Blume Foundation John E Cahill Family Foundation

Citations: not cited yet (Europe PMC); 72 references in the paper

Abstract

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Code

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Data

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Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 2 authors, 3 keywords, 2 funders, 54 references.

Cite

This paper

Choi, J. W., & Bronte-Stewart, H. M. (2026). N2G calibrator: a cross-subject adversarial learning framework for neural signal-driven gait tracking in Parkinson's disease. Communications engineering, 5(1), 146. https://doi.org/10.1038/s44172-026-00688-3

BibTeX

@article{choi2026n2g, author = {Choi, Jin Woo and Bronte-Stewart, Helen M.}, title = {{N2G calibrator: a cross-subject adversarial learning framework for neural signal-driven gait tracking in Parkinson's disease}}, journal = {Communications engineering}, year = {2026}, month = may, volume = {5}, number = {1}, pages = {146}, publisher = {Nature Publishing Group}, issn = {2731-3395}, doi = {10.1038/s44172-026-00688-3}, url = {https://doi.org/10.1038/s44172-026-00688-3}, pmid = {42151559}, pmcid = {PMC13443168} }

RIS

TY - JOUR AU - Choi, Jin Woo AU - Bronte-Stewart, Helen M. TI - N2G calibrator: a cross-subject adversarial learning framework for neural signal-driven gait tracking in Parkinson's disease T2 - Communications engineering J2 - Commun Eng PY - 2026 DA - 2026/05/18 VL - 5 IS - 1 SP - 146 SN - 2731-3395 PB - Nature Publishing Group DO - 10.1038/s44172-026-00688-3 UR - https://doi.org/10.1038/s44172-026-00688-3 LA - en ER -

CSL-JSON

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