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Variability in CoP during running gait

Thelin, Tindra LU and Wittenmark, Alva LU (2025) EEML05 20251
Department of Biomedical Engineering
Abstract
Gait analysis has through previous studies been proven to be indicative of health and useful in monitoring recovery following injuries affecting walking and running gait. There are many parameters to measure regarding gait depending on the desired outcome of the analysis. This project focuses on center of pressure (CoP) data collected during running using a force plate instrumented treadmill (HP Cosmos, Germany). The data was collected from one participant at two different visits. Each collection visit resulted in collection of data at two different times during the running, 8 km/h and 10 km/h at the first visit and 8 km/h and 10,5 km/h at the second visit, resulting in a total of four data sets. The data was processed using Matlab and... (More)
Gait analysis has through previous studies been proven to be indicative of health and useful in monitoring recovery following injuries affecting walking and running gait. There are many parameters to measure regarding gait depending on the desired outcome of the analysis. This project focuses on center of pressure (CoP) data collected during running using a force plate instrumented treadmill (HP Cosmos, Germany). The data was collected from one participant at two different visits. Each collection visit resulted in collection of data at two different times during the running, 8 km/h and 10 km/h at the first visit and 8 km/h and 10,5 km/h at the second visit, resulting in a total of four data sets. The data was processed using Matlab and scripts were written to normalize for foot contact location and movement relative to the force plate origin since the foot progressed over the plate's surface while in contact with the moving carpet. Left and right foot forces were identified and the running cycle was divided into three different phases, loading response (37,5% of contact time), midstance (37,5% of contact time) and preswing (25% of contact time). Mean and standard deviation of the position of the CoP was calculated within the full stance as well as the three phases. Variability in each phase was then estimated from each individual stride by calculating the mean of the standard deviation. While a quantifiable measurement of variability was obtained, further studies are needed to properly assess the relevance of the calculated variability. The data appeared to contain potential noise, the source and impact of which require further research to ascertain and potentially exclude. (Less)
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author
Thelin, Tindra LU and Wittenmark, Alva LU
supervisor
organization
alternative title
Variabilitet i tryckcentrum under löpning
course
EEML05 20251
year
type
M2 - Bachelor Degree
subject
keywords
CoP, center of pressure, force plate, running gait, gait analysis
language
English
id
9205291
date added to LUP
2025-07-01 09:35:15
date last changed
2025-07-01 09:35:15
@misc{9205291,
  abstract     = {{Gait analysis has through previous studies been proven to be indicative of health and useful in monitoring recovery following injuries affecting walking and running gait. There are many parameters to measure regarding gait depending on the desired outcome of the analysis. This project focuses on center of pressure (CoP) data collected during running using a force plate instrumented treadmill (HP Cosmos, Germany). The data was collected from one participant at two different visits. Each collection visit resulted in collection of data at two different times during the running, 8 km/h and 10 km/h at the first visit and 8 km/h and 10,5 km/h at the second visit, resulting in a total of four data sets. The data was processed using Matlab and scripts were written to normalize for foot contact location and movement relative to the force plate origin since the foot progressed over the plate's surface while in contact with the moving carpet. Left and right foot forces were identified and the running cycle was divided into three different phases, loading response (37,5% of contact time), midstance (37,5% of contact time) and preswing (25% of contact time). Mean and standard deviation of the position of the CoP was calculated within the full stance as well as the three phases. Variability in each phase was then estimated from each individual stride by calculating the mean of the standard deviation. While a quantifiable measurement of variability was obtained, further studies are needed to properly assess the relevance of the calculated variability. The data appeared to contain potential noise, the source and impact of which require further research to ascertain and potentially exclude.}},
  author       = {{Thelin, Tindra and Wittenmark, Alva}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Variability in CoP during running gait}},
  year         = {{2025}},
}