Tejas Kumar

How I'm doing.

Updated

Run down. My heart rate variability is down and my resting heart rate is up at the same time this week, which in my own data is the clearest sign that my body needs rest. On top of that, I woke up feeling run down and last night's heart rate variability was 45 ms, under my usual floor of 48 ms. Today is for rest.

Tue, Sep 29, last night

HRV
45 ms7 night 44, low
Resting HR
50 bpm7 night 51.6, high
Asleep
7 h 35 minnormal
Call
Rest
On
-
Above my normalMy normalBelow my normalThe call each morning
HRV, 7 night avgResting HR, 7 night avgSleep, outlined under 7 hSpeakingMy normalReadyEasy dayRest

The lines are 7 night averages

Blue is heart rate variability, violet is resting heart rate, each averaged over the 7 nights up to that point. A single night can fall while its average rises: when a 50 replaces an even lower night from a week ago, the average still goes up. The numbers above the chart show the night itself and its average side by side.

Height is versus my normal

Each metric is measured against its own average over the 60 nights before, so milliseconds, beats a minute and hours can share one scale. The shaded band is my normal range. Above it is higher than usual, below it is lower. My normal moves too, a little, every night.

Good is blue up, violet down

High heart rate variability and low resting heart rate are the recovered direction, so a hard stretch shows as the two lines pulling apart, blue sinking and violet rising. The bars are sleep: up is a longer night than usual, down a shorter one, outlined under 7 hours.

Last night

Tuesday, September 29 / Oura ring

HRV
45ms
usual 48 to 54
Resting heart rate
50bpm
usual 48
Asleep
7:35h
week avg 6 h 57 min
Breathing
15.6/min
usual 15.1
Skin temperature
+0.3°C
vs my normal

The seven checks

3 of 7 pass

Every morning my phone asks the same seven questions of my ring, my watch and me. All seven pass and I train hard. One or two fail and I keep it easy. Three or more, any sign of getting sick, or my heart rate variability down while my resting heart rate is up, and I rest.

This week's training

8 sessions / 6 h 11 min / 0 hard

WedThuFriSatSunMonTue

Easy, below VT1ModerateHard, above VT2* a hard session

  • MonRun45 min / 4.6 km
  • FriStrength76 min
  • FriRun45 min / 5 km
  • ThuWalk52 min / 2.4 km
  • ThuRun23 min / 2.4 km
  • WedWalk23 min / 1.1 km
  • WedStrength62 min
  • WedRun45 min / 4.4 km

Where this comes from

I wear an Oura ring to sleep and an Apple Watch to train. An app I built for my phone reads both, compares every night with the 60 nights before it rather than with anyone else's numbers, and makes the call for the day. Each time I open it, it rewrites this page.

Heart rate variability is the small beat to beat wobble in my heart rate while I sleep. It drops when my body is dealing with something: hard training, poor sleep, stress, a cold on its way. So a low week is my body asking for rest before I can feel it.

None of the rules are mine. Each one comes from the research below, and each reference says which part of this page it backs.

References

14 peer reviewed papers

  1. 01

    Training hard only when HRV is in range

    Endurance training guided individually by daily heart rate variability measurements

    Kiviniemi AM, Hautala AJ, Kinnunen H, Tulppo MP (2007). European Journal of Applied Physiology, 101(6):743–751. doi:10.1007/s00421-007-0552-2

  2. 02

    My normal range: the rolling mean ± 0.5 SD

    Individual endurance training prescription with heart rate variability

    Vesterinen V, Nummela A, Heikura I, et al. (2016). Medicine & Science in Sports & Exercise, 48(7):1347–1354. doi:10.1249/MSS.0000000000000910

  3. 03

    Training hard only when HRV is in range

    Training prescription guided by heart-rate variability in cycling

    Javaloyes A, Sarabia JM, Lamberts RP, Moya-Ramon M (2019). International Journal of Sports Physiology and Performance, 14(1):23–32. doi:10.1123/ijspp.2018-0122

  4. 04

    The 7 night average rather than any single night

    Evaluating training adaptation with heart-rate measures: a methodological comparison

    Plews DJ, Laursen PB, Kilding AE, Buchheit M (2013). International Journal of Sports Physiology and Performance, 8(6):688–691. doi:10.1123/ijspp.8.6.688

  5. 05

    HRV above the range can mean strain, not freshness

    Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring

    Plews DJ, Laursen PB, Stanley J, Kilding AE, Buchheit M (2013). Sports Medicine, 43(9):773–781. doi:10.1007/s40279-013-0071-8

  6. 06

    Reading HRV and resting heart rate together

    Monitoring training status with HR measures: do all roads lead to Rome?

    Buchheit M (2014). Frontiers in Physiology, 5:73. doi:10.3389/fphys.2014.00073

  7. 07

    Comparing me with my own baseline, not with anyone else

    What is behind changes in resting heart rate and heart rate variability? A large-scale analysis of longitudinal measurements acquired in free-living

    Altini M, Plews D (2021). Sensors, 21(23):7932. doi:10.3390/s21237932

  8. 08

    Resting heart rate rising before I feel sick

    Pre-symptomatic detection of COVID-19 from smartwatch data

    Mishra T, Wang M, Metwally AA, et al. (2020). Nature Biomedical Engineering, 4(12):1208–1220. doi:10.1038/s41551-020-00640-6

  9. 09

    Breathing rate and skin temperature as an early warning

    Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study

    Mason AE, Hecht FM, Davis SK, et al. (2022). Scientific Reports, 12:3463. doi:10.1038/s41598-022-07314-0

  10. 10

    At least 7 hours asleep

    Recommended amount of sleep for a healthy adult: a joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society

    Watson NF, Badr MS, Belenky G, et al. (2015). Sleep, 38(6):843–844. doi:10.5665/sleep.4716

  11. 11

    How far to trust the ring

    The sleep of the ring: comparison of the ŌURA sleep tracker against polysomnography

    de Zambotti M, Rosas L, Colrain IM, Baker FC (2019). Behavioral Sleep Medicine, 17(2):124–136. doi:10.1080/15402002.2017.1300587

  12. 12

    The morning check-in counting as much as the ring

    Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review

    Saw AE, Main LC, Gastin PB (2016). British Journal of Sports Medicine, 50(5):281–291. doi:10.1136/bjsports-2015-094758

  13. 13

    Rating how hard each session felt

    A new approach to monitoring exercise training

    Foster C, Florhaug JA, Franklin J, et al. (2001). Journal of Strength and Conditioning Research, 15(1):109–115. doi:10.1519/00124278-200102000-00019

  14. 14

    Mostly easy training, and space between hard sessions

    What is best practice for training intensity and duration distribution in endurance athletes?

    Seiler S (2010). International Journal of Sports Physiology and Performance, 5(3):276–291. doi:10.1123/ijspp.5.3.276