Pengembangan Database Temporal Dan Kinematik Gaya Gerak Dari Dua Sisi Organ Gerak Bawah Pada Tiga Gaya Berjalan Yang Berbeda

Wulansari, Anita (2016) Pengembangan Database Temporal Dan Kinematik Gaya Gerak Dari Dua Sisi Organ Gerak Bawah Pada Tiga Gaya Berjalan Yang Berbeda. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pada tugas akhir ini telah dikembangkan sebuah sistem pengukuran parameter temporal dan kinematik gaya berjalan manusia. Sistem dirancang menggunakan tiga jenis sensor, yaitu accelerometer, gyroscope, dan Force Sensing Resistor (FSR). Accelerometer dikombinasikan dengan gyroscope untuk megukur sudut yang dibentuk oleh tubuh-paha (hip), paha-betis (knee), dan betis-telapak kaki (ankle). FSR digunakan untuk mendeteksi gait event pada proses berjalan manusia. Parameter temporal yang diukur adalah initial contact, foot-flat, heel-off, toe-off, stance phase time, swing phase time, cycle time, dan cadence pada setiap siklus berjalan. Sedangkan parameter kinematik yang didapatkan pada bagian hip dan knee adalah sudut yang terbentuk dari masing-masing persendian ketika initial contact, dan nilai sudut maksimum extension dan flexion yang terukur dari masing-masing persendian dan pada bagian ankle didapatkan hasil berupa nilai sudut pada initial contact, dan nilai maksimum flexion pada setiap fase gait. Analisa gait dilakukan dalam dua metode yaitu secara online (real time) dan offline dari hasil pengukuran yang direkam oleh sistem sensor. Pengujian dilakukan pada tiga jenis gerakan berjalan yaitu berjalan datar, menaiki tangga, dan menuruni tangga. Berdasarkan pengujian tersebut, didapatkan hasil rata-rata perbandingan durasi antara stance phase dan swing phase adalah 70% dan 30%. Rata-rata range of motion terbesar untuk hip terjadi pada gaya berjalan datar (-13.3o hingga 29.7o), untuk knee terjadi pada gaya berjalan menuruni tangga (13o hingga 92.3o) dan ankle pada gaya berjalan menaiki dan menuruni tangga sebesar 13.4o hingga 36.2o. Sistem yang dikembangkan pada tugas akhir ini diharapkan dapat digunakan pada penelitian lanjutan eksplorasi pola berjalan untuk keperluan rekayasa rehabilitasi gerakan berjalan. ================================================================================================================== In this final project, a human gait measurement system for temporal and kinematic parameters has been developed. The system was designed using three kinds of sensor, namely accelerometer, gyroscope, and Force Sensing Resistor (FSR). The combination of accelerometer and gyroscope were used to get an accurate measurement of three joints of lower limbs: hip, knee, and ankle. Each joint is formed by body-thigh, thigh-shank, and shank-foot segment of lower limb. FSR was used to detect gait event in human walking process. Temporal parameters measured were initial contact, foot-flat, heel-off, toe-off, stance phase time, swing phase time, cycle time, and cadence for each stride. Whereas the kinematic parameters were divided into three parts, hip, knee, and ankle. Kinematic parameters of hip and knee are the angle formed from each joint at initial contact and the value of maximum extension and flexion angle of each joint. The parameters of ankle are the value of angle at initial contact and the value of maximum flexion of each gait phase. Gait analysis were performed in two methods that were online (real time) and offline which were obtained from the measured result recorded by the sensors. The experiments were performed for three different walking patteern, which are flat walking, stair ascending, and stair descending. Based on the experiments, it was shown that the average of stance phase and swing phase were 70% and 30%. The largest average of the motion range of hip was measured at flat walking styles (-13.3o to 29.7o), knee at stair descending (13o to 92.3o), and ankle at both stair ascending and descending (13.4o to 36.2o). The developed system in this final project was expected to be used in exploring walking pattern for walking rehabilitation purpose.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 005.74 Wul p
Uncontrolled Keywords: Joint Angles, Gait Analysis, Gait Database
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science. EDP
Divisions: Faculty of Industrial Technology > Electrical Engineering > (S1) Undergraduate Theses
Depositing User: Users 13 not found.
Date Deposited: 02 Jun 2017 06:13
Last Modified: 27 Dec 2018 08:44
URI: http://repository.its.ac.id/id/eprint/41466

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