How to Calculate Heart Rate from Qrs Complex

ECG Heart Rate Calculator (QRS Method)

(Most accurate method: 1mm boxes)
OR
(Quick estimate: 5mm boxes)

How to Calculate Heart Rate from the QRS Complex

In clinical electrocardiography (ECG), calculating the heart rate is a fundamental skill. The QRS complex represents ventricular depolarization, and the distance between consecutive QRS complexes (specifically the R-R interval) allows us to determine the beats per minute (BPM).

The Mathematical Principles

Standard ECG paper moves at a speed of 25 mm/sec. This means:

  • 1 Small Box = 1 mm = 0.04 seconds.
  • 1 Large Box = 5 mm = 0.20 seconds.
  • 1500 Small Boxes = 1 minute.
  • 300 Large Boxes = 1 minute.

The 1500 Method (Most Accurate)

For regular rhythms, count the number of small boxes between two consecutive R waves and divide 1500 by that number.
Formula: 1500 / (number of small boxes) = Heart Rate.

The 300 Method (The Sequence Method)

Count the number of large boxes between R waves.
Formula: 300 / (number of large boxes) = Heart Rate.
Common sequence: 300 – 150 – 100 – 75 – 60 – 50.

Example Calculation

If you identify 20 small boxes between two QRS complexes on an ECG strip:

  1. Use the 1500 rule: 1500 divided by 20.
  2. Result: 75 BPM.

Important Note on Irregular Rhythms

If the rhythm is irregular (like Atrial Fibrillation), the methods above are inaccurate. Instead, use the 6-second method: Count the number of QRS complexes in a 6-second strip (usually 30 large boxes) and multiply by 10.

function calculateQRSHeartRate() { var smallBoxes = parseFloat(document.getElementById('smallBoxes').value); var largeBoxes = parseFloat(document.getElementById('largeBoxes').value); var resultDiv = document.getElementById('heartRateResult'); var bpmOutput = document.getElementById('bpmOutput'); var rhythmCategory = document.getElementById('rhythmCategory'); var finalBpm = 0; // Reset styles resultDiv.style.display = 'block'; resultDiv.style.backgroundColor = '#f1f1f1'; if (smallBoxes > 0) { finalBpm = 1500 / smallBoxes; // Also update large boxes for consistency document.getElementById('largeBoxes').value = (smallBoxes / 5).toFixed(1); } else if (largeBoxes > 0) { finalBpm = 300 / largeBoxes; // Also update small boxes for consistency document.getElementById('smallBoxes').value = (largeBoxes * 5).toFixed(0); } else { bpmOutput.innerHTML = "Error"; rhythmCategory.innerHTML = "Please enter the number of boxes between R waves."; return; } var roundedBpm = Math.round(finalBpm); bpmOutput.innerHTML = roundedBpm + " BPM"; // Category Logic if (roundedBpm 100) { rhythmCategory.innerHTML = "Category: Tachycardia (Fast Heart Rate)"; rhythmCategory.style.color = "#d32f2f"; } else { rhythmCategory.innerHTML = "Category: Normal Sinus Range"; rhythmCategory.style.color = "#388e3c"; } }

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