H-Reflex Recruitment Curve Slope Calculator
Explicit endpoint H-reflex recruitment slope over an independently selected compatible monotone-current interval, not fitted entire sigmoid recruitment model or threshold inference.
Description
An H-reflex recruitment curve relates qualified response amplitudes to stimulus current.
An H-reflex recruitment curve relates qualified response amplitudes to stimulus current.1
An endpoint slope differs from a fitted slope across every observation.
When to use H-Reflex Recruitment Curve Slope Calculator
Use this tool to calculate or review the supplied observations under the stated rules. Establish the assessment or recording protocol, units, instrument version and independently applicable reference or calibration.
How to use H-Reflex Recruitment Curve Slope Calculator and understand its results
- Establish the assessment or recording protocol, units, instrument version and independently applicable reference or calibration.
- Enter independentlyMeasuredStimulusCurrentsMa, matchedQualifiedHreflexAmplitudesMv, using the field meanings and rules below, then run the tool.
- Read result.observedEndpointRecruitmentSlopeMvPerMa. Use the units and sign conventions below.
- Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| independentlyMeasuredStimulusCurrentsMa | Independently measured stimulus currents ma | list of number | Required |
| matchedQualifiedHreflexAmplitudesMv | Matched qualified hreflex amplitudes mv | list of number | Required |
Require at least two aligned observations, strictly increasing nonnegative stimulus currents and nonnegative matched amplitudes. Compute last-minus-first amplitude divided by last-minus-first current. Intermediate observations are validated but do not affect this endpoint slope; negative slopes are allowed.
endpointSlopeMvPerMa=(lastAmplitude−firstAmplitude)/(lastCurrent−firstCurrent) Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result; its nested fields below contain the actual calculation or selected reference | object |
| result.observedEndpointRecruitmentSlopeMvPerMa | Observed Endpoint Recruitment Slope Mv Per Ma | number |
{
"input": {
"independentlyMeasuredStimulusCurrentsMa": [
1,
2,
3
],
"matchedQualifiedHreflexAmplitudesMv": [
1,
3,
5
]
},
"output": {
"result": {
"observedEndpointRecruitmentSlopeMvPerMa": 2
}
}
}Limitations and assumptions
Actual acquisition, assessment protocol, instrument version and calibration determine applicability. The tool does not examine a person, classify images, administer a questionnaire or choose diagnostic cutoffs.
Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use H-Reflex Latency Calculator: An H-reflex has an identified component peak and a separately determined onset. For a complementary comparison, use H/M Ratio Calculator: The H/M ratio compares matched maximum H-reflex and M-wave amplitudes.
References
Similar or alternative tools
- H-Reflex Latency Calculator
An H-reflex has an identified component peak and a separately determined onset.
- H/M Ratio Calculator
The H/M ratio compares matched maximum H-reflex and M-wave amplitudes.