Nerve Conduction Velocity
Measure segmental nerve velocity from inter-stimulation distance and onset-latency difference, with independent first-order uncertainty; not a diameter-based estimate.
Description
Conduction velocity uses the distance between stimulation sites divided by their onset-latency difference.
Conduction velocity uses the distance between stimulation sites divided by their onset-latency difference. A first-order error estimate propagates distance and latency uncertainty.
The tool returns latencyDifferenceMs (latency difference ms); velocityMetersPerSecond (velocity meters per second); linearVelocityStandardError (linear velocity standard error). Input measurements and model parameters are supplied by the caller; the tool computes the stated summary rather than acquiring those measurements.
When to use Nerve Conduction Velocity
Use Nerve Conduction Velocity when you already have stimulationDistanceMm, proximalOnsetLatencyMs, distalOnsetLatencyMs, distanceStandardErrorMm, latencyDifferenceStandardErrorMs and want latencyDifferenceMs, velocityMetersPerSecond, linearVelocityStandardError. This is useful for checking a supplied calculation, documenting a measurement convention, or comparing observations prepared on the same basis.
How to use Nerve Conduction Velocity and understand its results
- Enter stimulationDistanceMm, proximalOnsetLatencyMs, distalOnsetLatencyMs, distanceStandardErrorMm, latencyDifferenceStandardErrorMs using the field table below. Match the units, ordering and data boundaries described in the calculation.
- Run the tool after checking the stated bounds and matching paired observations or categories. A malformed request gives a tool error rather than a usable measurement.
- Read latencyDifferenceMs, velocityMetersPerSecond, linearVelocityStandardError. Use the calculation and interpretation below to distinguish amounts, ratios, signs and decision flags where applicable.
- Review the supplied parameters and assumptions before using the result in a report or comparing it with another observation.
| Input field | Meaning | Value type and bounds | Requirement |
|---|---|---|---|
| stimulationDistanceMm | Stimulation distance mm | number | Required |
| proximalOnsetLatencyMs | Proximal onset latency ms | number | Required |
| distalOnsetLatencyMs | Distal onset latency ms | number | Required |
| distanceStandardErrorMm | Distance standard error mm | number | Required |
| latencyDifferenceStandardErrorMs | Latency difference standard error ms | number | Required |
Require positive distance and latency difference, nonnegative distal latency and standard errors. mm/ms is numerically equal to m/s.
velocity[m/s] = distanceMm/(proximal−distal)Ms; SEv = v × hypot(SEdistance/distance, SEdelay/delay) The symbols refer to the supplied quantities or generated values described above; unit conversions and comparison boundaries follow the stated implementation.
{
"input": {
"stimulationDistanceMm": 200,
"proximalOnsetLatencyMs": 6,
"distalOnsetLatencyMs": 2,
"distanceStandardErrorMm": 2,
"latencyDifferenceStandardErrorMs": 0.1
},
"output": {
"latencyDifferenceMs": 4,
"velocityMetersPerSecond": 50,
"linearVelocityStandardError": 1.3462912017836262
}
}Limitations and assumptions
Error propagation assumes independent small errors. Temperature, distance measurement and latency selection are not verified.
Numerical inputs must be finite. The tool checks its declared input shape and calculation constraints; those checks do not verify the quality, calibration or representativeness of the supplied observations.
Alternative or Complementary methods
Muscle Force Quantification Tool: Fit a linear force-transducer calibration and apply it to recordings, preserving signed estimates outside calibration; no strength norms are embedded. Spike Timing Precision: Derive per-trial stimulus-aligned first-spike latencies and inverse sample SD precision; identical latencies have undefined infinite precision and return an error.
Methodological background: Measures of scale: sample variance and standard deviation.1
References
-
Measures of scale: sample variance and standard deviation — NIST/SEMATECH
Similar or alternative tools
- Muscle Force Quantification Tool
Fit a linear force-transducer calibration and apply it to recordings, preserving signed estimates outside calibration; no strength norms are embedded.
- Spike Timing Precision
Derive per-trial stimulus-aligned first-spike latencies and inverse sample SD precision; identical latencies have undefined infinite precision and return an error.