Vet ECG HR QRS Interpretation Tool

Actual veterinarian ECGfinding evidence screen, not diagnose rhythm from heart rate/QRSalone or interpret a raw tracing. Actual independently established feature columns: independently observed ECGabnormality, actual calibrated tracing context documented, qualified veterinary interpretation recorded. Unknown and overlapping candidates retained, not automatic diagnosis, causation, predicted performance or safety approval.

Description

An ECG review needs calibrated tracing context and qualified interpretation of observed findings.

An ECG review needs calibrated tracing context and qualified interpretation of observed findings.^[1]

Binary annotations can organize that evidence but do not analyze a raw tracing or diagnose a rhythm.

When to use Vet ECG HR QRS Interpretation Tool

Use this tool to calculate or review the supplied observations under the stated rules. Establish the animal, measurement protocol, units and independently applicable veterinary prescription or reference.

How to use Vet ECG HR QRS Interpretation Tool and understand its results

Establish the animal, measurement protocol, units and independently applicable veterinary prescription or reference.
Enter independentlyObservedFeatureFlags, featureKnownFlags, using the field meanings and rules below, then run the tool.
Read compatibleClasses and witnessedClasses separately. Inspect unknownFeatureIndices before treating compatibility as a witnessed candidate.
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
independentlyObservedFeatureFlags	Independently observed feature flags	list of number	Required
featureKnownFlags	Feature known flags; binary 1 means the matched observation is known, 0 means unknown	list of number	Required

Supply exactly three binary evidence values and three binary known flags in the stated column order. The single candidate requires all three features present. A known absent feature excludes it; unknown required features retain compatibility but prevent witnessing. Return compatible and witnessed candidate lists plus zero-based unknown indices. These annotations are supplied by the caller; the tool does not analyze raw evidence.

Candidate	Observed abnormality	Calibrated context	Qualified interpretation
qualified-ECG-finding-review	Known present	Known present	Known present

compatible=∀j(known_j=0 or feature_j=1); witnessed=∀j(known_j=1 and feature_j=1)

Use the matching field units and the exact boundary, ordering and reference rules above.

Output field	Meaning	Value type
result	Qualified observation, conditional calculation or reference	object
result.compatibleClasses	Candidates without a contradiction from a known required feature; unknown required features may remain.	list
result.witnessedClasses	Candidates whose required features are all known and present.	list
result.unknownFeatureIndices	Zero-based feature positions whose evidence was marked unknown.	list

json

{
  "input": {
    "independentlyObservedFeatureFlags": [
      1,
      1,
      1
    ],
    "featureKnownFlags": [
      1,
      1,
      1
    ]
  },
  "output": {
    "result": {
      "compatibleClasses": [
        "qualified-ECG-finding-review"
      ],
      "witnessedClasses": [
        "qualified-ECG-finding-review"
      ],
      "unknownFeatureIndices": []
    }
  }
}

Limitations and assumptions

The patient context, observations and applicability of any reference or prescription must be independently established. This result supplies no diagnosis, default dose, treatment selection or assessment of clinical suitability. Compatibility with unknown required features is not full witnessing; witnessing reflects only the supplied annotations.

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, subject to the narrower lengths and code rules above. Extremely large composite outputs are rejected.

Alternative or Complementary methods

For a related step, use SpO2 Pulse Oximeter Interpretation Tool: Pulse-oximeter SpO2 is a measured oxygen-saturation percentage subject to device and measurement context. For a complementary comparison, use EtCO2 Anesthetized Range Checker: End-tidal carbon dioxide is a capnography measurement tied to the sampled respiratory phase and instrument.

References

Vet ECG HR QRS Interpretation Tool — tool.io

Similar or alternative tools

SpO2 Pulse Oximeter Interpretation Tool
Pulse-oximeter SpO2 is a measured oxygen-saturation percentage subject to device and measurement context.
EtCO2 Anesthetized Range Checker
End-tidal carbon dioxide is a capnography measurement tied to the sampled respiratory phase and instrument.