We've got Muscular Strain, now let's think about Muscle Recovery:
planned (tbd)
M
Marvin
We all know based on research and papers, that HRV, which is one of the main component of Superset Recovery, is not a reliable metric to measure muscular recovery, it's perfect for running, swimming, cycling, but not so much for Strength based excercises.
Let's try to find a way on how can Muscular Strain be used to help us plan workouts:
There are studies which aim to understand the general time each muscle group takes to recover, obviously there's always variability based on the subjectivity of individuals, but that, as of now, can't be easily measured with just a watch and an app.
So, why don't use data like in this link to quantify recovery in relation to muscular strain that we already have?:
Something like this is made by this app(fitbod):
You can see there's a body heatmap(which i believe someone else already requested and so it's planned) and which muscle group is already recovered and at which percentage, probably based on generic recovery data like the one i linked before.
Obviously one could even change the recover percentage with the slidebar because, by self evaluating, feels like that muscle group is more recovered than expected by the app.
This would be completely unrelated to Recovery that we have right now, so it wouldn't screw with it and people which don't use strength builder wouldn't be bothered by it.
It could use muscular strain data that the app already has, to calculate the impact on muscle groups and how much recovery is needed(cross checking with the standard recovery data).
It would be a completely different tab where you would be welcomed by the body heatmap which refreshes with time and changes color reflecting, becoming less and less red the more it's recovered.
Also, wourkouts could show a color, a percentage or an alert informing you that your excercises in your workout could be of muscle groups still recovering.
In the end there should always be a big disclaimer that this should be used as a way to auto evaluate and not dictate when or not to excercise.
I attach some quick edited images with the idea of how it could be implemented in the app UI.
Amanda
Merged in a post:
Hybrid Athlete Recovery Algorithm Optimization
A
Adrian Bürks
Currently, the recovery score seems heavily reliant on the "Lower RHR + Higher HRV = Better Recovery" model. While this is true for pure endurance, it’s often inverted for strength training:
- Active Muscle Repair: After a heavy lifting session (e.g., Leg Day), RHR often slightly increases due to the metabolic cost of muscle repair (hypertrophy) and systemic inflammation.
- CNS Fatigue: Heavy loads drop HRV significantly as the Central Nervous System recovers, even if the cardiovascular system is perfectly fine.
-> The Result: Bevel consistently gives "Red/Low" recovery scores on days when I am actually in a productive recovery phase from lifting, misinterpreting muscle repair as poor health/overtraining.
Proposed Logic Enhancements:
- Context-Aware Baselines: The algorithm should recognize when a "Strength" activity was logged. An expected slight rise in RHR (+2-4 bpm) following high-tonnage days should not penalize the recovery score as heavily as it would for a runner.
- Weighted Load Calculation: Instead of relying on HR-zones for strength training, the strain should be more heavily weighted by Volume (Load x Reps) + RPE, as HR is often a lagging or inaccurate indicator of lifting intensity.
Leah
Merged in a post:
Fatigue and muscle recovery - Motra Training style
C
Charles Randor
You put the daily workouts, repetitions, loads and rest between sets, and Bevel gives you how fatigued that muscle group was. The next day he shows you how your muscle groups are recovering and advises which one is suitable for training or if they are all still not recovered and it would be better to rest in general that day, as motra training does very well.
Leah
Merged in a post:
Indicator of Muscle Recovery in Strength Training
J
JuanJe Estaca Bañón
I would like to propose the incorporation of a specific muscle recovery indicator within the strength training section.
What would the improvement consist of?
• A system that calculates accumulated fatigue by muscle group based on volume, intensity and type of exercise.
• A visual indicator (for example, traffic light type or percentage) that shows:
• 🟢 Recovered muscle
• 🟡 Partial recovery
• 🔴 Needs more rest
• An estimate of the remaining recovery time
• A daily view that allows you to easily know what muscle groups they are
K
Kevin Hu
Saw this on Reddit. Great idea. Voted
Dylan
Or at least have a section within the recovery tab which shows cardiovascular recovery and muscular recovery
Amanda
Merged in a post:
Muscle recovery
L
Lucio Falcone
Good evening, I don't know if it's me who can't set up muscle recovery in the fitness session. In addition to exercising the kg used and the repetitions, I can't set up muscle recovery. Can anyone tell me if I'm doing something wrong? Or is it an app limit.???
Amanda
Merged in a post:
Muscle recovery
J
Jake Martin
I would love to see a breakdown of the muscles I have worked recently and how recovered they are to stop them from being over trained. Similar to Fitbod
Amanda
Merged in a post:
Muscle-Specific Recovery / Fatigue Heatmap
Benjamin Strelow
Currently, Recovery is systemic (HRV). For hybrid athletes, we need to know local muscle fatigue. If I trained chest/back yesterday, my legs are fresh for a run, even if Strain was high. Please visualize which muscle groups are fatigued based on the Strength Builder logs, so I know if I can push on a run despite a lower recovery score.
Amanda
Merged in a post:
Predicting future illness + injuries with AI
A
Abdullah
Collecting fitness data then make AI analyze it and predict future illness or injuries
Amanda
Merged in a post:
Muscle Fatigue Tracking
A
Augustin
It would be great if BEVEL could track muscle fatigue by using workout data and user feedback like soreness or energy levels.
This would help users avoid overtraining, adjust workouts better, and improve results safely.
Adding this feature would make BEVEL much smarter and more useful for serious training.
Thanks for considering!
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