Discrete vs Continuous Biomechanical Data Analysis | Dr Todd Pataky
Channel: Stuart McErlain-Naylor
Date: 2020-07-16

Lecture 22 of the Sports Biomechanics Lecture Series #SportsBiomLS 
Todd Pataky presents a comparison and discussion of discrete (e.g. maximum or minimum forces or angles) and continuous (e.g. statistical parametric mapping [SPM]) data analysis techniques in biomechanics.

For a demonstration of 'SPM in 6 minutes' with no prior coding/matlab experience: https://www.youtube.com/watch?v=nKyNpoU6-_I 
SPM ANOVA and other tests: https://www.youtube.com/watch?v=Dp-KK2w50UE 
To add labels to the SPM plots: https://www.youtube.com/watch?v=FrPmrQ0YotA 
To manually edit SPM plots: https://youtu.be/QXHtoff-MIs 

10 common stats mistakes in 5 minutes video: https://www.youtube.com/watch?v=hlVl1dJE4GE 

Subscribe: https://www.youtube.com/c/StuartMcErlainNaylor1?sub_confirmation=1 

00:00 Sports Biomechanics Lecture Series
02:44 Discrete vs Continuous Biomechanical Data Analysis Overview
05:58 Discrete Analysis Overview
13:48 Continuous Analysis Overview
16:45 What are the Main Types of Continuous Biomechanical Analysis?
17:59 What is Functional Data Analysis (FDA)?
20:27 Statistical Parametric Mapping (SPM)
32:33 Why is Continuous Biomechanical Analysis valid?
47:05 Problems with Discrete Biomechanical Analysis
54:50 Why does the Biomechanics Literature use Discrete Analysis?
59:47 SPM Biomechanics Software
01:00:39 Problems with Continuous Biomechanical Analysis
01:00:58 Registration of Biomechanical Data
01:05:27 Is Discrete Analysis Invalid?
01:09:14 The Biggest Problem (Exploratory Perspective)
01:14:50 Summary of Discrete vs Continuous Biomechanical Data Analysis
01:19:29 Q&A (Power Analysis, Power1D)
01:25:08 Q&A (Parametric Assumptions and Non-Parametric Testing)
01:27:49 Q&A (Controlling for Multiple Comparisons, Bonferroni Correction)
01:30:22 Q&A (Getting Started With SPM)

Some key SPM links:
spm1d main site: https://spm1d.org 
Public forum for spm1d;  general statistics questions welcome! https://github.com/0todd0000/spm1d/issues
Overview of continuous analysis: https://spm1d.org/doc/Theory/tests1d.html
Overview of Random Field Theory: https://spm1d.org/rft1d/Theory.html
Power analysis for continuous data (Python only): https://spm1d.org/power1d/

Web: https://www.stuartmcnaylor.com/sportsbiomls/ 
Audio: https://www.stuartmcnaylor.com/podbean/ 
Twitter: https://twitter.com/biomechstu
Monthly research newsletter: https://www.stuartmcnaylor.com/newsletter/