Desain Fuzzy Logic Controller Untuk Electrical Stimulation Restorasi Gerakan Shoulder Joint Menggunakan Functional Electrical Stimulation

Anggraini, Desy Kusuma (2023) Desain Fuzzy Logic Controller Untuk Electrical Stimulation Restorasi Gerakan Shoulder Joint Menggunakan Functional Electrical Stimulation. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 07311840000043-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 April 2025. Download (3MB) | Request a copy

Abstract

Menurut World Health Organization (WHO), pada setiap tahun 15 juta orang di seluruh dunia mengalami stroke. Stroke merupakan penyebab kecacatan nomor satu di dunia dan penyebab kematian nomor dua di dunia. Dua pertiga stroke terjadi di negara berkembang. Efek paling umum pada kondisi pasca stroke adalah pelemahan alat gerak atas. Pelemahan pada gerak atas mempengaruhi kemampuan individu dalam melakukan aktivitas sehari-hari. Untuk mengembalikan fungsi tubuh tersebut maka diperlukan rehabilitasi. Functional Electrical Stimulation (FES) merupakan salah satu cara rehabilitasi. Namun, dalam penggunaan Functional Electrical Stimulation (FES) cenderung membuat penderita pasca stroke mengalami kejenuhan dalam melakukan rehabilitasi. Penelitian ini menggunakan Functional Electrical Stimulatin (FES) dua channel atau multichannel dengan mikrokontroler STM32F103C8T6 dan 2 buah sensor accelerometer dan gyroscope untuk mengukur sudut pada shoulder joint. Modul Functional Electrical Stimulation (FES) terdiri dari Boost Converter, Pulse Generator, dan Driver Channel. Boost Converter mampu menghasilkan keluaran sebesar 130-144 V. Pulse Generator mampu menghasilkan pulsa 20 Hz selebar 200 µs. Dengan menggunakan sistem kontrol Fuzzy Logic Controller, sebagaimana Functional Electrical Stimulation (FES) tersebut akan dikontrol dengan menggunakan fuzzy. Hasil yang diperoleh dari penelitian ini adalah untuk menghasilkan gerakan dari stimulus yang diberikan dengan sudut mendekati target trajektori yang telah ditentukan. Pengujian dari sistem ini masih terbatas pada subjek normal saja dan adanya proses rehabilitasi ini mampu untuk membantu restorasi gerak shoulder joint. Hasil rata-rata RMSE sebesar 18,94, RMSE besar disebabkan adanya delay dari mikrokontroler, Bluetooth, dan proses reander di user interface. Pengembangan selanjutnya bisa menambahkan modul wi-fi seperti ESP8266 yang memungkinkan untuk menghubungkan mikrokontroler dengan internet. Penggunaan mikrokontroler lainnya seperti ESP32 juga memungkinkan untuk terhubung langsung dengan internet tanpa penambahan modul wi-fi tambahan
====================================================================================================================================
According to the World Health Organization (WHO), every year 15 million people worldwide experience a stroke. Stroke is the number one cause of disability in the world and the number two cause of death in the world. Two-thirds of strokes occur in developing countries. The most common effect in post-stroke conditions is the weakening of the upper limbs. The weakening of the upper limbs affects the individual's ability to perform daily activities. To restore body function, rehabilitation is required. Functional Electrical Stimulation (FES) is one way of rehabilitation. However, the use of Functional Electrical Stimulation (FES) tends to make post-stroke patients experience saturation in rehabilitation. This research uses two-channel or multichannel Functional Electrical Stimulatin (FES) with STM32F103C8T6 microcontroller and 2 accelerometer and gyroscope sensors to measure the angle of the shoulder joint. The Functional Electrical Stimulation (FES) module consists of a Boost Converter, Pulse Generator, and Channel Driver. Boost Converter is able to produce an output of 130-144 V. The Pulse Generator is capable of producing 20 Hz pulses 200 µs wide. By using Fuzzy Logic Controller control system, as Functional Electrical Stimulation (FES) will be controlled using fuzzy. The result obtained from this research is to produce movement from a given stimulus with an angle approaching the predetermined target trajectory. Testing of this system is still limited to normal subjects only and the rehabilitation process is able to help restore shoulder joint motion. The average RMSE result is 18,94, thelarge RMSE is due to the delay from the microcontroller, bluetooth, and the reander process in the user interface. Futher development can add wi-fi modules such as ESP8266 which makes it possible to connect microcontrollers with the internet. The use of other microcontrollers such as ESP32 also makes it possible to connect directly to the internet without adding additional wi-fi modules

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Stroke, Functional Electrical Stimulation, Fuzzy Logic Controller, Shoulder Joint Stroke, Functional Electrical Stimulation, Fuzzy Logic Controller, Shoulder Joint
Subjects:	R Medicine > R Medicine (General) R Medicine > RM Therapeutics. Pharmacology R Medicine > RM Therapeutics. Pharmacology > RM871 Electric stimulation. T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Biomedical Engineering > 11410-(S1) Undergraduate Thesis
Depositing User:	Desy Kusuma Anggraini
Date Deposited:	13 Feb 2023 01:56
Last Modified:	13 Feb 2023 01:56
URI:	http://repository.its.ac.id/id/eprint/97104

Actions (login required)

View Item