ANALISIS VARIABILITAS POLA GERAK BERJALAN MENGGUNAKAN PHASE PORTRAIT
Walking movement is the most basic movement of human body that everyone does every day. If someone inconsistent walking movement, their risk of falling will also increase. This inconsistency can be seen in their gait variability. Thus, human gait variability can be described as the normal variation...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/52740 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Walking movement is the most basic movement of human body that everyone does every day. If someone inconsistent walking movement, their risk of falling will also increase. This inconsistency can be seen in their gait variability. Thus, human gait variability can be described as the normal variation that occur in motor performance across multiple repetitions of task. This variability is essential in all biological system and it can be observed quite easily. If a person tries to repeat the same movement twice, the two action can never be identical (Stergiou). The difference from the movement is what can be called gait variability.
One of the methods in measuring gait variability is using phase portrait. In gait analysis, phase portrait is a graph that can see the connection between the angle and the angular velocity of 2 segment. The average of one gait cycle in that graph is called centroid, and the drift between the centroid of one cycle to the next cycle is called drift centroid. This value of the drift centroid is gait variability which is analyzed in this thesis.
There are 11 subject that consist of 2 elderly and 9 normal subjects. These 11 subjects walk on a treadmill using 14 active markers attached to their lower body at their own comfortable speed while being recorded with 4 GoPro cameras. From this research, a person’s gait variability from each joint can be vary. Most of the result also show that the knee variability value is the smallest compare to the ankle and hip joint, while the hip joint has the biggest variability. The result also show that the gait variability can increase as a person is getting older. Other than age, there are also other factor that influence the gait variability.
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