Tejas Kumar

How I'm doing.

Updated

Getting there. Last night's heart rate variability was 40 ms, under my usual floor of 45 ms. I'm keeping today easy. I'm in week 3 of a 4 week training block.

Mon, Oct 19, last night

HRV
40 ms7 night 45.9, normal
Resting HR
49 bpm7 night 49.3, normal
Asleep
7 h 4 minnormal
Call
Easy day
On
David & Jenny & Evan
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: half of my usual night to night spread either side of my average, which is the smallest change the research counts as a real one. Above it is higher than usual, below it is lower. Its edges are where a check passes or fails, so a line just inside one still passes. 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

Monday, October 19 / Oura ring and Apple Watch

HRV
40ms
usual 45 to 52
Resting heart rate
49bpm
usual 48 to 51
Asleep
7:04h
week avg 7 h 8 min
Breathing
15.3/min
usual 15.2
Skin temperature
+0.1°C
ring, vs my normal
Blood oxygen
96%
lowest 94%
Disturbances
1.6/h
breathing, under 5 normal
Wrist temperature
−0.1°C
watch, vs my normal

The seven checks

6 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

1 sessions / 0 h 45 min / 0 hard

TueWedThuFriSatSunMon

Easy, below VT1ModerateHard, above VT2* a hard session

  • TueWalk45 min / 2.7 km

Moving and fitness

Sunday, October 18 / Apple Watch

Steps
7,759
week avg 13,616
Exercise
15min
week avg 58
Active energy
416kcal
week avg 565
Daylight
94min
week avg 70
VO2max
38.1ml/kg/min
−2.2 since Aug 27
Walking heart rate
97bpm
7 day average
Resting heart rate, all day
65bpm
Apple's, 7 day average

VO2max here is my watch's estimate from runs and walks. For any one person it can be off by around 13%, so its direction over weeks says more than the number.

Where this comes from

I sleep in an Oura ring and an Apple Watch, and train with the watch. An app I built for my phone reads both from Apple Health, 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.

The ring's numbers make the call. The watch adds what the ring doesn't measure: blood oxygen, breathing disturbances and wrist temperature overnight, how much I moved, and how fit I am. When the ring misses a night's temperature, the watch's stands in.

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

15 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, and half an SD of my own nights as the smallest change that counts for both

    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

    A resting heart rate just above my normal range counting as fatigue

    Monitoring fatigue state with heart rate-based and subjective methods during intensified training in recreational runners

    Nuuttila OP, Uusitalo A, Kokkonen VP, Weerarathna N, Kyröläinen H (2024). European Journal of Sport Science, 24(7):857–869. doi:10.1002/ejsc.12115

  9. 09

    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

  10. 10

    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

  11. 11

    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

  12. 12

    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

  13. 13

    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

  14. 14

    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

  15. 15

    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