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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PhysioHDEMG" in publications use:'
type: software
license: MIT
title: 'PhysioHDEMG: High-Density Surface EMG Motor-Unit Decomposition for the Physio
  Ecosystem'
version: 0.2.1
doi: 10.32614/CRAN.package.PhysioHDEMG
identifiers:
- type: url
  value: https://x-biosignal.github.io/PhysioHDEMG/
abstract: Decomposition of high-density surface electromyography (HD-sEMG) electrode-grid
  recordings into constituent motor-unit discharge patterns by convolutive blind source
  separation (extension, whitening and a fixed-point contrast maximisation with convolution-kernel-compensation
  refinement), following Holobar & Zazula (2007) and Negro et al. (2016). Provides
  motor-unit pulse trains, firing statistics (discharge rate, recruitment / derecruitment,
  pulse-to-noise ratio and silhouette quality), spatial motor-unit action-potential
  maps over the electrode grid, and a ground-truth HD-sEMG simulator for validation.
authors:
- family-names: Matsui
  given-names: Yusuke
  email: mail.to.matsui@gmail.com
repository: https://x-biosignal.r-universe.dev
repository-code: https://github.com/x-biosignal/PhysioHDEMG
commit: 1cfd2a23864453fd0856dd4796828fc2e90ca124
url: https://x-biosignal.r-universe.dev/PhysioHDEMG
date-released: '2026-10-03'
contact:
- family-names: Matsui
  given-names: Yusuke
  email: mail.to.matsui@gmail.com