# Statistical Parametric Mapping

Re-imagining biomechanical data analysis through spm1d, waveform (1D) analysis and statistics

**Key collaborators:**

A. Prof. Todd Pataky - Kyoto University, Japan

A. Prof. Jos Vanrenterghem - KU Leuven, Belgium

This research theme primarily focuses on the integration of statistical parametric mapping into biomechanics through the use of open-source package spm1d (www.spm1d.org, Pataky 2012). Arguably our most influential paper is Pataky et al. (2013) which introduces *vector-field analysis* (multivariate statistical analysis of waveforms) to biomechanics. Other technical spm1d papers address issues including *non-parametric inference*, *regions-of-interest*, *EMG*, and *waveform homogeneity*.

Other research has addressed biomechanical data analysis more broadly by demonstrating the likelihood of *false positives* with 0D data analysis and *1D power analysis*. This work has also branched into complementary methods including Functional Data Analysis and Principal Component Analysis through collaboration with Dr. John Warmenhoven.