Research Data Leeds Repository
Scripts associated with 'Identifying Shared Pathways Across Multiple Muscle Groups of the Human Upper Limb'
Citation
Richards, Thomas C. and Desai, Amey D. and Chakrabarty, Samit (2018) Scripts associated with 'Identifying Shared Pathways Across Multiple Muscle Groups of the Human Upper Limb'. University of Leeds. [Dataset] https://doi.org/10.5518/592
Dataset description
This dataset contains the scripts used to conduct Chapter 3 and Chapter 4 of my PhD thesis 'Identifying Shared Pathways Across Multiple Muscle Groups of the Human Upper Limb'. In Chapter 3, I describe a pipeline which enables the time at peak response to stimulation to be marked in EMG data, and then measurements of instantaneous power spectral density to be taken at marked time points using the wavelet synchro-squeezed transform. In Chapter 4, I describe onset and offset marking of muscle bursts during isometric muscle contractions, calculation of intermuscular coherence in bands identified in Chapter 3, wavelet correlation analysis, and muscle synergy analysis using these data. Scripts are written in the CED Spike 2 script language, VBA, BASH, Matlab, and R. The scripts are subdivided into .zip files by the chapter in which they were used. There are associated README files in the .zip files for the appropriate chapter, as well as the subfolders containing the scripts for different steps of the analysis/processing.
Keywords: | EMG, Eletcromyography, Motor Control, Spinal Cord, Reticulospinal Tract, Corticospinal Tract, Intermuscular Coherence, Wavelet Transform, Muscle Synergies, Neurophysiology, Human Physiology, Motor Control, Neuroscience, Biomedical Science, Muscle Physiology | ||||||
---|---|---|---|---|---|---|---|
Subjects: | B000 - Subjects allied to medicine > B100 - Anatomy, physiology & pathology > B140 - Neuroscience B000 - Subjects allied to medicine > B100 - Anatomy, physiology & pathology > B120 - Physiology |
||||||
Divisions: | Faculty of Biological Sciences > School of Biomedical Sciences | ||||||
Related resources: |
|
||||||
License: | MIT License | ||||||
Date deposited: | 08 Jul 2022 16:48 | ||||||
URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/996 | ||||||