Estimation of human spine orientation with inertial measurement units (IMU) at low sampling rate: How low can we go?

Published: 13 June 2023| Version 1 | DOI: 10.17632/twygbbvyj4.1
Contributor:
Ryan Riddick

Description

Dataset for the scientific paper Estimation of human spine orientation with inertial measurement units (IMU) at low sampling rate: How low can we go? Ryan Riddick, Esther Smits, Gert Faber, Cory Shearwin, Paul Hodges, and Wolbert van den Hoorn The main dataset file is in "validation2021_dataset.mat", which is Matlab's compressed binary format. Raw data files for each participant are stored in the folders "s1", "s2", ..., "s12". Optimized filter parameters are stored in the "filterParameters" folder. Figures and tables for the paper are stored in the "figureAndTables" folder. See paper and the code repository ReadMe in the related link for more information about how the data was created, structured, and analyzed.

Files

Steps to reproduce

See paper and the code repository ReadMe in the related link for more information.

Institutions

University of Queensland

Categories

Signal Processing, Biomedical Engineering, Biomechanical Engineering, Spine, Sensor Fusion, Biomechanics of Gait, Biomechanics of Posture

Funding

National Health and Medical Research Council

APP1091302

National Health and Medical Research Council

APP1194937

Related Links

Software
https://github.com/riddryan/orientationFilters_sampleRateModels
compiles this dataset

Licence