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A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke survivors.

Tamaya Van CriekingeWim SaeysSteven TruijenLuc VereeckLizeth H SlootAnn Hallemans
Published in: Scientific data (2023)
This reference dataset contains biomechanical data of 138 able-bodied adults (21-86 years) and 50 stroke survivors walking bare-footed at their preferred speed. It is unique due to its size, and population, including adults across the life-span and over 70 years, as well as stroke survivors. Full-body kinematics (PiG-model), kinetics and muscle activity of 14 back and lower limbs muscles was collected with a Vicon motion capture system, ground-embedded force plates, and a synchronized surface EMG system. The data is reliable to compare within and between groups as the same methodology and infrastructure were used to gather all data. Both source files (C3D) and post-processed ready-to-use stride-normalized kinematics, kinetics and EMG data (MAT-file, Excel file) are available, allowing high flexibility and accessibility of analysis for both researchers and clinicians. These records are valuable to examine ageing, typical and hemiplegic gait, while also offering a wide range of reference data which can be utilized for age-matched controls during normal walking.
Keyphrases
  • electronic health record
  • atrial fibrillation
  • big data
  • young adults
  • skeletal muscle
  • data analysis
  • palliative care
  • high speed
  • artificial intelligence
  • deep learning
  • blood brain barrier
  • subarachnoid hemorrhage