GAIT ANALYSIS: STABILITY ON INCLINED PLANE USING RECURRENCE QUANTIFICATION ANALYSIS METHOD

Gait is a repetitive movement of human in their daily basis. Recurrence Quantification Analysis is a method to analyze the repetitiveness of a signal. Therefore, the stability of a repetitive movement can be assessed through Recurrence Quantification Analysis. The human muscle system works optimally...

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Main Author: Jackson, Nico
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/76471
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:76471
spelling id-itb.:764712023-08-15T15:01:30ZGAIT ANALYSIS: STABILITY ON INCLINED PLANE USING RECURRENCE QUANTIFICATION ANALYSIS METHOD Jackson, Nico Indonesia Final Project Gait stability, HSV motion capture, Body Mass Index, Recurrence Quantification Analysis INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/76471 Gait is a repetitive movement of human in their daily basis. Recurrence Quantification Analysis is a method to analyze the repetitiveness of a signal. Therefore, the stability of a repetitive movement can be assessed through Recurrence Quantification Analysis. The human muscle system works optimally within the age range of 20 to 30 years. After 35 years, the muscles will experience a gradual degeneration of 1% per year. This research is focused on subjects aged 20-30 years on finding the gait stability. 50 subjects differentiated from their Body Mass Index are used in this research. 30 subjects are from normal category and 10 subjects are from each overweight and underweight category. Subjects are asked to walk on a treadmill for 60 seconds with differentiation of 5 phase, each phase for 12 seconds. Phase 1 is on flat surface, phase 2 is a transition from phase 1 to phase 3, phase 3 in on 7.5°, phase 4 is a transition from phase 3 to phase 5, and phase 5 is on 15°. Kinematics data is obtained from using HSV motion capture using green color passive marker. In this research, knee angle from sagittal plane is used as the signal for gait stability analysis. Knee angle signal is used on construction of phase space, which is then used on construction of Recurrence Plot. Determinism and entropy quantifier is used from Recurrence Quantification Analysis on analyzing the gait stability. The result of DET and ENT quantifier shows that gait movement on category normal subjects have a good stability on all phase of perturbance for each side. The other result is the gait movement of subjects from underweight have a good stability on flat surface condition on each side with comparison to normal subject while the overweight subjects have a good stability on flat surface condition for right side. Meanwhile, the result of ENT left side of gait movement on overweight subjects show that there’s no significant changes while the DET shows that overweight subjects have less stability as the periodicity is less than normal subject. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Gait is a repetitive movement of human in their daily basis. Recurrence Quantification Analysis is a method to analyze the repetitiveness of a signal. Therefore, the stability of a repetitive movement can be assessed through Recurrence Quantification Analysis. The human muscle system works optimally within the age range of 20 to 30 years. After 35 years, the muscles will experience a gradual degeneration of 1% per year. This research is focused on subjects aged 20-30 years on finding the gait stability. 50 subjects differentiated from their Body Mass Index are used in this research. 30 subjects are from normal category and 10 subjects are from each overweight and underweight category. Subjects are asked to walk on a treadmill for 60 seconds with differentiation of 5 phase, each phase for 12 seconds. Phase 1 is on flat surface, phase 2 is a transition from phase 1 to phase 3, phase 3 in on 7.5°, phase 4 is a transition from phase 3 to phase 5, and phase 5 is on 15°. Kinematics data is obtained from using HSV motion capture using green color passive marker. In this research, knee angle from sagittal plane is used as the signal for gait stability analysis. Knee angle signal is used on construction of phase space, which is then used on construction of Recurrence Plot. Determinism and entropy quantifier is used from Recurrence Quantification Analysis on analyzing the gait stability. The result of DET and ENT quantifier shows that gait movement on category normal subjects have a good stability on all phase of perturbance for each side. The other result is the gait movement of subjects from underweight have a good stability on flat surface condition on each side with comparison to normal subject while the overweight subjects have a good stability on flat surface condition for right side. Meanwhile, the result of ENT left side of gait movement on overweight subjects show that there’s no significant changes while the DET shows that overweight subjects have less stability as the periodicity is less than normal subject.
format Final Project
author Jackson, Nico
spellingShingle Jackson, Nico
GAIT ANALYSIS: STABILITY ON INCLINED PLANE USING RECURRENCE QUANTIFICATION ANALYSIS METHOD
author_facet Jackson, Nico
author_sort Jackson, Nico
title GAIT ANALYSIS: STABILITY ON INCLINED PLANE USING RECURRENCE QUANTIFICATION ANALYSIS METHOD
title_short GAIT ANALYSIS: STABILITY ON INCLINED PLANE USING RECURRENCE QUANTIFICATION ANALYSIS METHOD
title_full GAIT ANALYSIS: STABILITY ON INCLINED PLANE USING RECURRENCE QUANTIFICATION ANALYSIS METHOD
title_fullStr GAIT ANALYSIS: STABILITY ON INCLINED PLANE USING RECURRENCE QUANTIFICATION ANALYSIS METHOD
title_full_unstemmed GAIT ANALYSIS: STABILITY ON INCLINED PLANE USING RECURRENCE QUANTIFICATION ANALYSIS METHOD
title_sort gait analysis: stability on inclined plane using recurrence quantification analysis method
url https://digilib.itb.ac.id/gdl/view/76471
_version_ 1822007992483053568