+1

Take into account the order exercises are done in a workout

Ian T 3 years ago updated by James 3 weeks ago 1

Currently the app calculates weights and reps for each exercise depending on the last time we did the exercise. But it doesn’t take into account the order of the exercises in a given workout session/what exercise went before/after it in the same workout session. For example, if I’m doing benchpress at the start of the session I’m going to perform better than if it’s the last exercise, especially if the same muscles are being exercised beforehand.

Can the app therefore take the order of exercises into account when doing its calculations for the next workout session. Otherwise the results will be skewed somewhat.

i believe this is called Exercise Order Effect & Fatigue-Adjusted Load Progression


Request:


Implement Exercise Order Effect & Fatigue-Adjusted Load Progression in Dr. Muscle to dynamically adjust weight and rep recommendations based on an exercise’s position within a workout.


Current Behavior:


The app does not adjust weight or reps based on when an exercise appears in a workout.


Moving a lift (e.g., bench press from first to last) results in a performance drop due to accumulated fatigue, but the app continues to prescribe the same targets.



Proposed Solution:


Incorporate Exercise Order Effect: Adjust weight and rep targets based on prior fatigue in the session.


Implement Fatigue-Adjusted Load Progression:


Reduce target weight and/or reps for exercises placed later in a session. Use auto-regulation principles to adapt in real-time.



New Display Option:


Show last session’s weight and reps as a reference.


Provide an "adjusted" weight and rep target based on estimated fatigue for the new position in the workout.


Benefits:


  •  More accurate weight and rep targets reflecting actual fatigue.
  •  Prevents overestimation of performance when exercises are moved later.
  •  Supports better progress tracking by aligning expectations with real-world fatigue levels.
  •  Allows users to compare last session’s performance with fatigue-adjusted estimates.

Would improve training realism and auto-regulation accuracy within Dr. Muscle’s adaptive programming.