How to Calculate Heart Rate on a Rhythm Strip

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ECG Heart Rate (Rhythm Strip) Calculator

1500 Method (Small Squares – Regular Rhythms) 300 Method (Large Squares – Regular Rhythms) 6-Second Strip Method (Irregular Rhythms)

The 1500 method is the most precise for regular rhythms. Count the small squares between two consecutive R-waves.

Estimated Heart Rate:
— BPM

How to Calculate Heart Rate on an ECG Rhythm Strip

Accurately determining the heart rate from an electrocardiogram (ECG) rhythm strip is a fundamental skill in clinical medicine. Standard ECG paper moves at a speed of 25 mm/second. This means that time can be measured by counting the boxes on the grid. One small square represents 0.04 seconds, and one large square (containing 5 small squares) represents 0.20 seconds.

Key Metrics:
  • 1 Small Square = 1mm = 0.04 seconds
  • 1 Large Square = 5mm = 0.20 seconds
  • 5 Large Squares = 1 second
  • 300 Large Squares = 1 minute
  • 1500 Small Squares = 1 minute

The Three Primary Methods

1. The 1500 Method (Most Accurate)

This is the preferred method for regular rhythms. You count the number of small squares between two consecutive R waves (the R-R interval) and divide 1500 by that number.

Formula: 1500 ÷ (Number of small squares between R waves) = Heart Rate (BPM)

2. The 300 Method (Large Square Method)

For a quick estimation of regular rhythms, count the number of large squares between two R waves and divide 300 by that number.

Formula: 300 ÷ (Number of large squares between R waves) = Heart Rate (BPM)

3. The 6-Second Method (For Irregular Rhythms)

When the rhythm is irregular (like Atrial Fibrillation), the R-R interval varies. To find the average heart rate, count the number of QRS complexes in a 6-second strip and multiply by 10.

Formula: (Number of QRS Complexes in 6 seconds) × 10 = Heart Rate (BPM)

Heart Rate Interpretations

Heart Rate (BPM) Classification
Below 60 Bradycardia
60 – 100 Normal Sinus Rhythm
Above 100 Tachycardia

Practical Example

If you are looking at a strip and find exactly 4 large squares between two R waves:

  • Using 300 Method: 300 / 4 = 75 BPM.
  • Using 1500 Method: (4 squares × 5 small boxes) = 20 small boxes. 1500 / 20 = 75 BPM.

Both methods yield the same result for regular rhythms, but the 1500 method allows you to account for fractional large squares (e.g., 4.2 large squares).

function updateMethodFields() { var method = document.getElementById("methodSelect").value; var label = document.getElementById("inputLabel"); var desc = document.getElementById("methodDesc"); var input = document.getElementById("inputValue"); if (method === "1500") { label.innerText = "Number of Small Squares (R-R Interval)"; desc.innerText = "The 1500 method is the most precise for regular rhythms. Count the small squares between two consecutive R-waves."; input.placeholder = "e.g. 20"; } else if (method === "300") { label.innerText = "Number of Large Squares (R-R Interval)"; desc.innerText = "The 300 method is used for quick estimation of regular rhythms using the large 5mm boxes."; input.placeholder = "e.g. 4"; } else if (method === "6sec") { label.innerText = "Number of QRS Complexes (in a 6-second strip)"; desc.innerText = "Best for irregular rhythms. Count how many R-waves appear in a 6-second interval (usually 30 large boxes)."; input.placeholder = "e.g. 8"; } document.getElementById("hr-result-display").style.display = "none"; } function calculateHeartRate() { var method = document.getElementById("methodSelect").value; var val = parseFloat(document.getElementById("inputValue").value); var resultDiv = document.getElementById("hr-result-display"); var bpmOutput = document.getElementById("bpmOutput"); var interpretation = document.getElementById("interpretation"); if (isNaN(val) || val <= 0) { alert("Please enter a valid positive number."); return; } var bpm = 0; if (method === "1500") { bpm = 1500 / val; } else if (method === "300") { bpm = 300 / val; } else if (method === "6sec") { bpm = val * 10; } var finalBpm = Math.round(bpm); bpmOutput.innerText = finalBpm + " BPM"; var status = ""; var color = ""; if (finalBpm = 60 && finalBpm <= 100) { status = "Normal Heart Rate"; color = "#388e3c"; } else { status = "Tachycardia"; color = "#d32f2f"; } interpretation.innerText = status; interpretation.style.color = color; resultDiv.style.backgroundColor = color + "15"; // Light tint of the category color resultDiv.style.display = "block"; resultDiv.style.border = "1px solid " + color; }

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