READ ME File For 'Human and Biomechanical Considerations in Hand Joint Disease' Dataset DOI: 10.5258/SOTON/D3729 ReadMe Author: Tinashe Munyebvu, University of Southampton, ORCID ID 0009-0000-2952-3487 This dataset supports the thesis entitled AWARDED BY: University of Southampton DATE OF AWARD: November 2025 Date of data collection: 01/10/2020 - 01/10/2024 Information about geographic location of data collection: University of Southampton, U.K Licence: CC-BY Related projects/Funders: Doctoral Training Partnership, EPSRC, Funding numbers: EP/R513325/1 Horizon 2020 - APRICOT Project, Funding numbers: 863183 University of Southampton\u2019s, Public Engagement with Research Unit (funded by the Higher Education Innovation Fund) -------------------- DATA & FILE OVERVIEW -------------------- This dataset contains: METADTA_10.5258_SOTON_D3729.xlsx - This is a simple Excel spreadsheet containing the raw data behind the figures presented in the final thesis. -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: The training dataset (CT/kinematic data) used to generate the outputs presented in this thesis was collected between 2012 and 2016 at the University of Southampton/University Hospital Southampton(IRAS Ref: 14/LO/1059)and ethical approval was granted for Secondary Data Analysis use during this project (ERGO Ref: 61718). The methods used for data generation is presented in [1] - Munyebvu, T. A., Metcalf, C. D., Burson-Thomas, C. B., Warwick, D., Everitt, C., King, L., Darekar, A., Browne, M., Heller, M. O. W., & Dickinson, A. S. (2024). OpenHands: an open-source statistical shape model of the finger bones. Annals of Biomedical Engineering, 52(11), 2975-2986. https://doi.org/10.1007/s10439-024-03560-7 Qualitative data (Q&A and polling responses) was collected via Vevox, an audience engagement platform (ERGO:77117) Methods for processing the data: The submitted data for Figures 9-17 represents the data generated from statistical analysis of collected data. The submitted data for Figures 23-39 represents the data generated from signal processing and wavelet, statistical and correlation analysis of collected data. The submitted data for Figures 45-46 represents the raw data collected using Vevox, an audience engagement platform Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: Microsoft Excel or MATLAB (MathWorks) -------------------------- DATA-SPECIFIC INFORMATION -------------------------- Variable list, defining any abbreviations, units of measure, codes or symbols used: Abbreviations CT - Computed Tomography DIP - Distal Interphalangeal Joint DP - Distal Phalanx LOO - Leave One Out MA - Moving Average MP - Medial Phalanx MS - Movement Smoothness MSI - Movement Smoothness Indicator PC - Principal Component PIP - Proximal Interphalangeal Joint PP - Proximal Phalanx PSD - Power Spectral Density RSME - Root Mean Square Error SNR - Signal-to-Noise Ratio SSM - Statistical Shape Modelling Variable List Each figure has been given a designated tab in the submitted .csv file. ---METHOD: Statistical Shape Modelling--- Tab 1 - Figure 9 - PIP CT Angle (degrees) - PIP Euler Angle (degrees) Tab 2 - Figure 10 - PIP CT Angle (degrees) - PIP Euler Angle (degrees) Tab 3 - Figure 11 - X-coordinates of PIP centroid (mm) - Y-coordinates of PIP centroid (mm) - Z-coordinates of PIP centroid (mm) Tab 4 - Figure 12 - X-coordinates of DIP centroid (mm) - Y-coordinates of DIP centroid (mm) - Z-coordinates of DIP centroid (mm) Tab 5 - Figure 13 - Registration Error (mm) of DP, MP and PP meshes for each Training Dataset (n=10) Tab 6 - Figure 14 - PC Compactness (%) of each model type - Average RSME (mm) of a linear combination of the training datasets for each model type Tab 7 - Figure 15 - Average Deviation (mm) between the mean and mode extreme shapes generated using n = 10 (Full Shape) and the mean and mode extreme shapes (p represents minimum shape and m represents maximum shape for PC1 – PC9) generated when one dataset is removed (n = 9, LOO SSM Shape) Tab 8 - Figure 16 - Represented Variance (%) for each PC (n=10) of each finger (n=4) - Represented Cumulative Variance for each PC (n=10) of each finger (n=4) Tab 9 - Figure 17 - DP, MP and PP Bone Length (mm) for 5th Percentile, mean and 95th Percentile of PC1 - PC4 for each finger (n=4) - PIP and DIP Joint Space (mm) for 5th Percentile, mean and 95th Percentile of PC1 - PC4 for each finger (n=4) --- METHOD: Kinematic Analysis --- Tab 10 - Figure 23 - Time (seconds) - Flexion Angle (degrees) - Velocity (degrees/second) Tab 11 - Figure 24 - Frequency (Hz) - PSD (dB/Hz) Tab 12 - Figure 25 - Lower and Upper Frequency (Hz) per Wavelet Level - Average Velocity (degrees/second) per Wavelet Level Tab 13 - Figure 26 - Time (seconds) - Flexion Angle (degrees) - Velocity (degrees/second) Tab 14 - Figure 27 - Time (seconds) - Velocity (degrees/second) - Denoised (wavelet method) Velocity (degrees/second) - Denoised (MA method) Velocity (degrees/second) Tab 15 - Figure 28 - Time (seconds) - Flexion Angle (degrees) - Velocity (degrees/second) - Noise Signal (degrees/second) - Gross Movement Signal (degrees/second) - MS Signal (degrees/second) Tab 16 - Figure 29 - Frequency (Hz) for input signal - PSD (dB/Hz) for input signal - Frequency (Hz) for gross movement signal - PSD (dB/Hz) for gross movement signal - Frequency (Hz) for noise signal - PSD (dB/Hz) for noise signal - Frequency (Hz) for movement smoothness signal - PSD (dB/Hz) for movement smoothness signal Tab 17 - Figure 30 - Movement Smoothness Indicator (unitless) for each dataset (n=10) - Signal-to-Noise Ratio (unitless) for each dataset (n=10) Tab 18 - Figures 33-39 - Mean PC Score (n=10) - Standard Deviation PC Score (n = 10) - 5th Percentile PC Score (n = 10) - 95th Percentile PC Score (n=10) - Movement Smoothness Indicator (unitless) for included datasets (n=7) --- METHOD: Qualitative Data Collection --- Tab 19 - Figures 45 - 46 - Total Number of Attendees - Number of Attendees per Year Group - Total Number of correct and incorrect responses to Poll Questions Date that the file was created: 1st November 2025 (01/11/2025)