Abstract
Computed gait analysis is a valid tool able to assess human walking. The joint angle variation during the cycle consists in a function. The derivation process, producing angular velocity and acceleration, may reveal and quantify the small angle variations. This approach may support physician’s interpretation of the joint movements. We would like to propose a calculation, combining the data from angular velocity and angular acceleration, to obtain a graph showing some features of joint behavior. We compared the results among a healthy subject, a coxarthrosis patient and a stroke patient. The built graph clearly shows the direction changes of the joint movements and the differences between the two sides and quantifies the acceleration/deceleration of a joint. The proposed approach is a mathematical artifice, which amplifies the information contained in the usual angle graphs and possibly opens the doors to more specific rehabilitation approaches.
| Language | English |
|---|---|
| Title of host publication | Biosystems and Biorobotics |
| Publisher | Springer International Publishing AG |
| Pages | 819-823 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - Jan 1 2019 |
Publication series
| Name | Biosystems and Biorobotics |
|---|---|
| Volume | 21 |
| ISSN (Print) | 2195-3562 |
| ISSN (Electronic) | 2195-3570 |
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ASJC Scopus subject areas
- Biomedical Engineering
- Mechanical Engineering
- Artificial Intelligence
Cite this
Proposal of a Method Supporting the Interpretation of Gait Analysis Kinematic Data. / Coraci, Daniele; Paoloni, Marco; Mangone, Massimiliano; Iacovelli, Chiara; Ruggeri, Francesco; Santilli, Valter; Padua, Luca.
Biosystems and Biorobotics. Springer International Publishing AG, 2019. p. 819-823 (Biosystems and Biorobotics; Vol. 21).Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Proposal of a Method Supporting the Interpretation of Gait Analysis Kinematic Data
AU - Coraci, Daniele
AU - Paoloni, Marco
AU - Mangone, Massimiliano
AU - Iacovelli, Chiara
AU - Ruggeri, Francesco
AU - Santilli, Valter
AU - Padua, Luca
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Computed gait analysis is a valid tool able to assess human walking. The joint angle variation during the cycle consists in a function. The derivation process, producing angular velocity and acceleration, may reveal and quantify the small angle variations. This approach may support physician’s interpretation of the joint movements. We would like to propose a calculation, combining the data from angular velocity and angular acceleration, to obtain a graph showing some features of joint behavior. We compared the results among a healthy subject, a coxarthrosis patient and a stroke patient. The built graph clearly shows the direction changes of the joint movements and the differences between the two sides and quantifies the acceleration/deceleration of a joint. The proposed approach is a mathematical artifice, which amplifies the information contained in the usual angle graphs and possibly opens the doors to more specific rehabilitation approaches.
AB - Computed gait analysis is a valid tool able to assess human walking. The joint angle variation during the cycle consists in a function. The derivation process, producing angular velocity and acceleration, may reveal and quantify the small angle variations. This approach may support physician’s interpretation of the joint movements. We would like to propose a calculation, combining the data from angular velocity and angular acceleration, to obtain a graph showing some features of joint behavior. We compared the results among a healthy subject, a coxarthrosis patient and a stroke patient. The built graph clearly shows the direction changes of the joint movements and the differences between the two sides and quantifies the acceleration/deceleration of a joint. The proposed approach is a mathematical artifice, which amplifies the information contained in the usual angle graphs and possibly opens the doors to more specific rehabilitation approaches.
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UR - http://www.scopus.com/inward/citedby.url?scp=85055323786&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-01845-0_164
DO - 10.1007/978-3-030-01845-0_164
M3 - Chapter
T3 - Biosystems and Biorobotics
SP - 819
EP - 823
BT - Biosystems and Biorobotics
PB - Springer International Publishing AG
ER -