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SwiftMo Power & Fitcoin: A White Paper
Abstract Health and fitness, as well preventative healthcare are seemingly willfully ignored both as population wide health interventions, but also the indirect contribution they make to economic output through increased mental and physical accuity, as well as eventual saving in healthcare. SwiftMo Power captures this data using commonly available hardware
How accurate and reliable is the SwiftMo Power?
Today I did a sanity test as I worked on a pipeline to reprocess video captured off lowend devices. I thought I'd share the results. Between sessions comparing rep a to rep the results are okay, the coefficient of variance is 0.084 (about 85%). Within a session
Demystifying Estimated Muscle Fatigue: How SwiftMo Tracks Neuromuscular Depletion
Traditional fitness apps treat training as a static spreadsheet: do 3 sets of 10 reps, rest 2 minutes, and repeat. But your body is a dynamic biological system. On some days, your muscles recover rapidly; on others, fatigue lingers. To bridge this gap, SwiftMo features an Estimated Muscle Fatigue engine
Understanding Performance Decay & Effort Level
In SwiftMo Power, tracking how much work you perform is only half the equation. To truly optimize your training, you need to understand how your body fatiguing behaves during a set. This is where Performance Decay (shown as Effort Level for colloquial profiles) comes in. 1. What is Performance Decay?