HRV Deload Trigger Formula
Heart Rate Variability (HRV) measured as morning supine rMSSD tracks autonomic recovery. A sustained drop indicates accumulated training stress + insufficient recovery. The Plews-Laursen rolling-average approach uses a 7-day window for baseline noise reduction, then triggers a deload when current value falls >1.5 SD below baseline for 3+ consecutive days. Single-day drops are noise; sustained drops are signal.
Formula
Copy the exact expression or work through it step by step below.
deload_trigger = (current_rMSSD < baseline_7d_avg − 1.5 × baseline_7d_SD) AND
(consecutive_low_days ≥ 3)
baseline_7d_avg = rolling 7-day mean of morning rMSSD
baseline_7d_SD = rolling 7-day standard deviation Variables
current_rMSSD
Today's morning rMSSD
Root Mean Square of Successive Differences between R-R intervals, measured supine within 5 min of waking. Unit: milliseconds. Higher = more parasympathetic activity = better autonomic recovery.
baseline_7d_avg
7-day rolling average
Mean rMSSD over the prior 7 days. Use rolling not fixed weekly to capture short-term acclimatization. Excluded: rest days, alcohol days, illness days (use forward fill).
baseline_7d_SD
7-day rolling standard deviation
Variability of rMSSD over prior 7 days. Athletes with higher day-to-day swings (younger, fitter) need a higher SD threshold; less variable populations (older, less trained) use 1.0 SD.
consecutive_low_days
Consecutive low days
Days in a row below the threshold. 3-day window per Plews & Laursen — 1 day is noise (poor sleep, large meal), 3+ days is signal.
Step By Step
- 1
Establish baseline. Measure morning rMSSD for 14 days before applying the rule. Apps like HRV4Training or Elite HRV capture this from a phone camera or chest strap.
14-day average baseline = 58 ms, SD = 8 ms.
- 2
Set threshold = baseline_avg − 1.5 × baseline_SD.
Threshold = 58 − 1.5 × 8 = 46 ms.
- 3
Each morning, compare today's reading to threshold.
Mon 51 ms ✓, Tue 44 ms ✗, Wed 42 ms ✗, Thu 45 ms ✗ → 3 consecutive lows. DELOAD TRIGGER.
- 4
On deload trigger: reduce training volume 50% for 5-7 days. Keep intensity (single high-quality top set). Don't cut intensity entirely — that prolongs the autonomic suppression.
Normal week 16 sets/muscle → deload week 8 sets, top set still RPE 8.
- 5
Re-check after deload week. HRV should return to baseline. If still suppressed after 7 days, investigate non-training causes (illness, life stress, undereating).
Post-deload baseline restoration: rMSSD 55 ms (within 1 SD of 58 ms baseline). Resume normal volume.
Worked Example
Intermediate lifter using morning HRV to detect overreaching
14-day baseline avg
58 ms rMSSD
14-day baseline SD
8 ms
Threshold
58 − 12 = 46 ms
Recent 3 days
44, 42, 45 ms
All 3 readings below 46 ms threshold → consecutive_low_days = 3 Trigger condition met: DELOAD WEEK
Schedule a 7-day deload starting today. Volume 50% of normal, intensity maintained on top sets. Re-measure HRV daily; expect baseline restoration by day 5-7. If HRV does not normalize, look upstream — sleep duration, calorie intake, life stress.
Common Variations
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Resting Heart Rate Calculator
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FAQ
Questions people ask next
The short answers readers usually want after the first pass.
What HRV drop should trigger a deload?
What is rMSSD and how do I measure it?
How long should I track HRV before using the deload rule?
What should a deload week look like after an HRV trigger?
What if my HRV stays low even after a deload week?
Sources & References
- Plews & Laursen (2017). Heart rate variability and training intensity distribution in elite rowers. — International Journal of Sports Physiology and Performance — rolling-average methodology
- Plews, Laursen, Stanley, Kilding & Buchheit (2013). Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring. — Sports Medicine — foundational HRV-for-training review
- Buchheit (2014). Monitoring training status with HR measures: do all roads lead to Rome? — Frontiers in Physiology — HR-based monitoring overview
- Vesterinen, Häkkinen, Hynynen, Mikkola, Hokka & Nummela (2013). Heart rate variability in prediction of individual adaptation to endurance training in recreational endurance runners. — Scandinavian Journal of Medicine & Science in Sports — recreational athlete validation