Skip to content

Main content

Health Log Duplicate Reading Time Gap Tool

Calculate health log duplicate reading time gap from explicit caller-supplied inputs.

Loading tool…

Description

Return the absolute epoch-second difference and possibleDuplicate for an inclusive comparison with tolerance.

Personal health and activity records use supplied observations, labels, and time intervals. A formatter or simple summary can organize those records without assessing health, diagnosing a condition, or recommending treatment.

Return the absolute epoch-second difference and possibleDuplicate for an inclusive comparison with tolerance.

When to use this tool

Use Health Log Duplicate Reading Time Gap when you need a bounded personal-record calculation with explicit units and date conventions.

How to use the tool and how it works

  1. Enter firstEpochSeconds, secondEpochSeconds, toleranceSeconds. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read gapSeconds, possibleDuplicate. Inspect possibleDuplicate before interpreting the associated values.

Require nonnegative toleranceSeconds. Return the absolute epoch-second difference and possibleDuplicate for an inclusive comparison with tolerance.1

Input fieldMeaning and unitsAccepted input
firstEpochSecondsFirst Epoch SecondsRequired. Safe integer.
secondEpochSecondsSecond Epoch SecondsRequired. Safe integer.
toleranceSecondsTolerance SecondsRequired. Finite number; minimum 0.
Output fieldInterpretationReturned shape
gapSecondsGap SecondsRequired. Finite number.
possibleDuplicatePossible DuplicateRequired. Boolean.
json
{
  "input": {
    "firstEpochSeconds": 1000,
    "secondEpochSeconds": 1005,
    "toleranceSeconds": 10
  },
  "output": {
    "gapSeconds": 5,
    "possibleDuplicate": true
  }
}

Limitations and assumptions

  • Timestamps alone cannot establish identical measurements or authorize deletion; values, source device, timezone provenance, and record identity are not inspected.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Review the original observations and consult an appropriate health professional for clinical interpretation or care decisions.

References

  1. Calculation and input contract: health/health-log-duplicate-reading-time-gap — tool.io

Similar or alternative tools