Sitanaya, Jeffry Glen (2018) Pengolahan Sinyal EMG Sebagai Perintah Kontrol Untuk Kursi Roda Elektrik. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kelumpuhan merupakan suatu keadaan yang menyebabkan penderita tersebut tidak mampu untuk melakukan pergerakan pada otot kaki ataupun otot tangan. Kelumpuhan disebebakan karena adanya cedera pada bagian sistem saraf pusat atau sistem saraf tepi sehingga proses pengiriman sinyal mengalami gangguan yang menyebabkan mobiltas sesorang terganggu. Untuk menunjang mobilitas penderita tersebut maka dapat digunakan alat bantu seperti kursi roda elektrik. Pada umumnya kursi roda elektrik menggunakan joystick sebagai kontrollernya. Tetapi penggunaan joystick tersebut sulit digunakan untuk orang sudah lanjut usia dan orang yang menderita kuadriplegia. Oleh sebab itu dilakukan penelitian mengenai pengolahan sinyal EMG sebagai perintah kontrol untuk kursi roda elektrik. Sinyal EMG diakusisi dengan menggunakan rangkaian instrumentasi EMG. Rangkaian instrumentasi EMG terdiri dari rangkaian high pass filter dengan frekuensi cutoff 1 Hz, penguat instrumentasi dengan penguatan sebesar 2300 kali, bandpass filter dengan rentang 50 Hz – 500 Hz dengan penguatan sebesar 3 kali, main amplifier, dan low pass filter dengan frekuensi cutoff 1 Hz. Hasil sinyal yang didapatkan dari rangkaian instrumentasi lalu diproses oleh mikrokontroller dan dikirim ke laptop untuk memonitor sinyal otot dan memberikan perintah kontrol pada kursi roda elektrik. Pengujian dilakukan pada tiga subjek dan diperoleh nilai rata-rata persentase keberhasilan untuk perintah kontrol maju sebesar 89.33 %, perintah kontrol belok kiri 97.33 %, belok kanan 97.33 %, dan berhenti 100 %. Untuk penelitian selanjutnya dapat didesain filter yang mampu meredam gerakan kabel, meningkatkan sensitifitas dari EMG, dan menguji pada pasien.
================== Paralysis is a condition that make patients can not move their muscle on upper limb or lower limb. Paralysis is caused by injury on central nervous system or peripheral nervous system so the transferred signal becomes distrurbed and it affects the mobilitiy of the patients so their mobility become difficult. To provide their mobility, they can use aids such as electric wheelchair. Right now, they can find electric wheelchair using joystick as its controller. But for the older person or patients that suffers quadriplegia, it will be difficult for them to use it. Therefore, on this research is designed EMG signal processing as command control for electric wheelchair. EMG signals are acquired with EMG instrumentation circuit. EMG instrumentation circuit consist of high pass filter with cutoff frequency 1 Hz, instrumentation amplifier with gain 2300 times, bandpass filter from 50 Hz – 500 Hz with gain 3 times, main amplifier and low pass filter with cutoff frequency 1 Hz. Then those signals are processed by microcontroller to monitor muscle signal and give command control to the electric wheelchair. The test was performed on three subject and the average success rate for “forward” command is 89.33 %, for “turn left” command is 97.33 %, for “turn right” command is 97.33 %, and for “stop” command is 100 %. For further research can be designed filters that can reduce cable movement, increase the sensitivity of EMG, and test this research on patients.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 616.740 754 7 Sit p |
| Uncontrolled Keywords: | command control, electric wheelchair, Electromiography (EMG), microcontroller, paralysis, Elektromiografi (EMG), kelumpuhan, kursi roda elektrik, mikrokontroller, perintah kontro |
| Subjects: | R Medicine > R Medicine (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Sitanaya Jeffry Glen |
| Date Deposited: | 16 Nov 2018 07:51 |
| Last Modified: | 16 Apr 2021 04:48 |
| URI: | http://repository.its.ac.id/id/eprint/52871 |
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