TY - GEN
T1 - Analysis of Plantar Pressure to detect Foot Abnormalities among various subjects
AU - Saha, Dwitrisha
AU - Prabhu, Shwetha
AU - Thapliyal, Ananya
AU - Pai, Manohara M.M.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Plantar pressure measurements in the upright position and ambulation provide comprehensive statistics for analysis of diseases or foot abnormalities and this can be used to track disease progression. Crucial details on the mechanical aspect of the human foot in both static and dynamic states are also obtained by plantar pressure. In diabetic patients, estimation of the pressure of the plantar region of the foot is important for the prevention of foot abnormalities that occur as a result of loss of sensation in the plantar region due to increased mechanical stress, finally leading to the formation of ulcers on the foot. In this paper, the plantar pressure of various subjects is collected and analysed to detect abnormalities. The plantar pressure at different regions of various subjects is collected through the RSscan foot scanner. The plantar pressure data of 30 subjects, diabetic as well as non diabetic, both male and female of different age groups were considered for experimentation. The data obtained from the foot scanner is in the form of an excel file. For the analysis, the excel file of static plantar pressure data of different subjects is being converted into CSV format for ease of analysis. The analysis is performed through programming in python and the results are compared with the ground truth which indicates that the method is effective.
AB - Plantar pressure measurements in the upright position and ambulation provide comprehensive statistics for analysis of diseases or foot abnormalities and this can be used to track disease progression. Crucial details on the mechanical aspect of the human foot in both static and dynamic states are also obtained by plantar pressure. In diabetic patients, estimation of the pressure of the plantar region of the foot is important for the prevention of foot abnormalities that occur as a result of loss of sensation in the plantar region due to increased mechanical stress, finally leading to the formation of ulcers on the foot. In this paper, the plantar pressure of various subjects is collected and analysed to detect abnormalities. The plantar pressure at different regions of various subjects is collected through the RSscan foot scanner. The plantar pressure data of 30 subjects, diabetic as well as non diabetic, both male and female of different age groups were considered for experimentation. The data obtained from the foot scanner is in the form of an excel file. For the analysis, the excel file of static plantar pressure data of different subjects is being converted into CSV format for ease of analysis. The analysis is performed through programming in python and the results are compared with the ground truth which indicates that the method is effective.
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U2 - 10.1109/AICAPS57044.2023.10074000
DO - 10.1109/AICAPS57044.2023.10074000
M3 - Conference contribution
AN - SCOPUS:85152192355
T3 - 2023 International Conference on Advances in Intelligent Computing and Applications, AICAPS 2023
BT - 2023 International Conference on Advances in Intelligent Computing and Applications, AICAPS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Advances in Intelligent Computing and Applications, AICAPS 2023
Y2 - 1 February 2023 through 3 February 2023
ER -