1. Simulate epoched MEPs | 2. MEP amplitude | 3. MEP onset latency | 4. Boltzmann recruitment curve | Where to go next
Package: PhysioNeurophys 0.4.1
Yusuke Matsui
PhysioNeurophys: TMS and Peripheral Motor Neurophysiology Analysis
Provides transcranial magnetic stimulation (TMS) and peripheral motor-neurophysiology analysis for PhysioExperiment objects. Includes motor-evoked-potential amplitude and latency, Boltzmann recruitment curves, H-reflex recruitment and Hmax/Mmax metrics, F-wave persistence and latency, paired-pulse inhibition and facilitation, cortical silent-period timing, TMS-EEG pulse removal, source-informed SSP-SIR and SOUND cleaning, TMS-evoked-potential summaries, the PREP2 upper-limb stroke-prognosis algorithm, and a governed TMS pulse and intensity metadata schema.
Authors:
PhysioNeurophys_0.4.1.tar.gz
PhysioNeurophys_0.4.1.zip(r-4.7-any)PhysioNeurophys_0.4.1.zip(r-4.6-any)PhysioNeurophys_0.4.1.zip(r-4.5-any)
PhysioNeurophys_0.4.1.tgz(r-4.6-any)PhysioNeurophys_0.4.1.tgz(r-4.5-any)
PhysioNeurophys_0.4.1.tar.gz(r-4.7-any)PhysioNeurophys_0.4.1.tar.gz(r-4.6-any)
PhysioNeurophys_0.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PhysioNeurophys/json (API)
| # Install 'PhysioNeurophys' in R: |
| install.packages('PhysioNeurophys', repos = c('https://x-biosignal.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/x-biosignal/physioneurophys/issues
Pkgdown/docs site:https://x-biosignal.github.io
Last updated from:0ac28d6401. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 254 | ||
| source / vignettes | OK | 189 | ||
| linux-release | NOTE | 214 | ||
| macos-release | NOTE | 199 | ||
| macos-oldrel | NOTE | 160 | ||
| windows-devel | NOTE | 175 | ||
| windows-release | NOTE | 156 | ||
| windows-oldrel | NOTE | 178 | ||
| wasm-release | OK | 99 |
Exports:corticalSilentPeriodfWaveDetectgetTMSpulseshMaxMMaxhReflexLatencyhReflexRecruitmenthReflexThresholdmake_mepmepAmplitudemepLatencypairedPulseprep2recruitmentCurveremoveTMSpulsesetTMSpulsessiciIcfsoundCleantepAveragetmsSSPSIR
Dependencies:abindBiobaseBiocGenericscliDelayedArraydigestgenericsGenomicRangesIRangeslatticelifecycleMatrixMatrixGenericsmatrixStatsPhysioExperimentrlangS4ArraysS4VectorsSeqinfoSparseArraySummarizedExperimentXVector
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Measure the cortical silent period | corticalSilentPeriod |
| Detect and summarize F-waves | fWaveDetect |
| Retrieve TMS pulse metadata | getTMSpulses |
| Calculate the Hmax/Mmax ratio | hMaxMMax |
| Estimate H-reflex onset latency | hReflexLatency |
| Measure an H-reflex recruitment series | hReflexRecruitment |
| Estimate the H-reflex recruitment threshold | hReflexThreshold |
| Simulate epoched TMS motor-evoked potentials | make_mep |
| Measure motor-evoked-potential amplitude | mepAmplitude |
| Estimate motor-evoked-potential onset latency | mepLatency |
| Summarize paired-pulse MEP responses | pairedPulse |
| Apply the PREP2 upper-limb prognosis algorithm | prep2 |
| Fit a Boltzmann MEP recruitment curve | recruitmentCurve |
| Remove TMS pulse and recharge intervals | removeTMSpulse |
| Store TMS pulse metadata | setTMSpulses |
| Summarize short-interval inhibition and intracortical facilitation | siciIcf |
| Clean TMS-EEG sensor noise with SOUND | soundClean |
| Average TMS-evoked potentials and measure canonical peaks | tepAverage |
| Clean TMS-EEG muscle artifact with SSP-SIR | tmsSSPSIR |