Recent work has challenged the practice of extracting and analysing discrete summary metrics from continuous biomechanical data. This paper presents a practical comparison of candidate data analysis techniques including frequentist and Bayesian discrete analysis, frequentist and Bayesian statistical parametric mapping, and vector coding. Example 1 compares knee and hip flexion / extension angles during flywheel and barbell squats. Example 2 compares pelvis and thorax transverse rotations during badminton jump smashes by an international and a regional player. All example data and scripts are open-source. Statistical parametric mapping enables comparison of continuous biomechanical variables at time points other than discrete local optima. Combining this approach with vector coding provides information regarding differences in proximal-distal joint coordination throughout a movement. These continuous open-source methodologies can increase the validity and intuitive practical application of biomechanical conclusions.
.@ISBSOFFICIAL paper 1⃣— Stuart McErlain-Naylor (@biomechstu) July 20, 2020
A practical open-source comparison of discrete and continuous biomechanical analysis techniques
✅ Flywheel vs barbell squat
✅ International vs regional badminton smash
Paper 📃 https://t.co/xtR1u8p4UB
Video 📽️ https://t.co/APpbFvbIdM pic.twitter.com/MecM5ySlRk