Ekstraksi Ciri Sinyal Elektromyography Pada 7 Pola Gerakan Shoulder Joint Menggunakan Modified Meanfrequency, Modified Median Frequency, Dan Linear Envelope

Wardana, Paulus Susetyo (2014) Ekstraksi Ciri Sinyal Elektromyography Pada 7 Pola Gerakan Shoulder Joint Menggunakan Modified Meanfrequency, Modified Median Frequency, Dan Linear Envelope. Masters thesis, Institut Teknologi Sepuluh Nopember.

[img] Text
2210204004-paper.pdf - Published Version

Download (1MB)
[img] Text
2210204004-Master_Theses.pdf - Published Version

Download (13MB)
[img] Text
2210204004-presentation.pdf - Presentation

Download (13MB)

Abstract

Sinyal Electromyograph adalah salah satu sinyal penting yang menunjukan aktifitas otot manusia, Sinyal EMG yang dihasilkan oleh 8 unit instrumentasi EMG yang terpasang pada 8 titik uji (otot deltoid1, otot deltoid2, otot infraspinatus, otot supraspinatus, otot teres mayor, otot latisimus dorsi, otot pectoralis1, dan otot pectoralis2) selanjutnya akan diekstraksi menggunakan metode Linear Envelope, Modified Mean Frequency (MMNF), dan Modified Median Frequency (MMDF) untuk mendapatkan ciri dari 7 pola gerakan shoulder joint. Penelitian dilakukan pada 3 subyek, dan hasil ekstraksi ciri yang diperoleh pada subyek A untuk metode MMNF adalah dihasilkan 2 kelompok sinyal mirip untuk 7 pola gerakan shoulder joint. Gerakan Resting Shoulder Subyek A dapat dikenali oleh nilai MMNF yang spesifik pada otot deltoid1, otot supraspinatus, otot latisimus dorsi, otot Pectoralis1, dan otot pectoralis2. Gerakan abduction juga dikenali dari nilai MMNF pada otot infraspinatus dan otot latisimus dorsi. Hasil yang diperoleh dari proses ekstraksi ciri MMNF pada subyek B adalah gerakan abduction,adduction, dan extension dapat dikenali dari nilai MMNF pada otot Pectoralis2, sedangkan gerakan resting shoulder, flexion shoulder, external rotation, dan internal rotation dapat dibedakan oleh otot latisimus dorsi. Pada proses ekstraksi ciri menggunakan MMDF subyek A menghasilkan nilai MMDF pada otot supraspinatus untuk mengenali gerakan flexion shoulder. Sedangkan gerakan resting shoulder, abduction, external rotation, dan internal rotation subyek A dapat dikenali oleh otot infraspinatus. Pada ekstraksi ciri MMDF subyek B menghasilkan nilai MMDF pada otot supraspinatus untuk membedakan gerakan Flexion, adduction, dan extension. Sedangkan nilai MMDF otot infraspinatus subyek B dapat digunakan untuk mengenali gerakan resting shoulder, abduction, external rotation, dan internal rotation. Untuk proses Ekstraksi menggunakan Linear Envelope Sinyal EMG menghasilkan nilai rata – rata perubahan energy pada resting shoulder Subyek A sebesar 0.0067 mV/s, pada subyek B sebesar 0,0048 mV/s, dan subyek C sebesar 0.0058 mV/s. Untuk gerakan flexion shoulder diperoleh pola gerakan dari energy yang rendah menjadi energy yang lebih tinggi pada semua otot( kecuali pada otot deltoid2) pada subyek B dan C, sedangkan pada subyek A mempunyai perubahan energy pada detik ke 3 yang menjadi lebih kecil untuk 4 buah ototnya (infraspinatus, supraspinatus, latisimus dorsi dan pectoralis 2. ========== Electromyography signal is very important signal for to explain human muscle activity. EMG signal from 8 units EMG instrumentation to detect Eight point for EMG test (Deltoid1 muscle, deltoid2 muscle, infraspinatus muscle, supraspinatus muscle, teres major muscle, latisimus dorsi muscle, pectoralis1 muscle, pectoralis2 muscle) then to extract the EMG signal with Linear Envelope, Modified Mean Frequency (MMNF), and Modified Median Frequency (MMDF) methods to obtain the 7 shoulder joint movement patterns. This study use 3 subject, and feature extraction results obtained in subjects A to MMNF method is similar to the signal generated 2 groups of 7 shoulder joint movement patterns. Resting Shoulder Subjects A movement can be recognized by a specific value on MMNF deltoid1 muscle, the supraspinatus muscle, the latissimus dorsi muscle, Pectoralis1 muscle, and pectoralis2 muscle . Movement of abduction also recognized the value MMNF infraspinatus muscle and the latissimus dorsi muscle. The results obtained from the feature extraction process on the subject of B is MMNF abduction movements, adduction, and extension can be recognized from the muscle Pectoralis2 MMNF value, while resting shoulder, flexion shoulder, external rotation, and internal rotation can be distinguished by the latissimus dorsi muscle. In the process of feature extraction using a subject MMDF produce MMDF value on the supraspinatus muscle to recognize shoulder flexion movement. While resting shoulder movement, abduction, external rotation, and internal rotation A subject can be recognized by the infraspinatus muscle. On the B subject of MMDF feature extraction generates value in the supraspinatus muscle to differentiate movement Flexion, adduction, and extension. While the value of the infraspinatus muscle MMDF subject B can be used to identify resting shoulder movement, abduction, external rotation, and internal rotation. For the extraction process using Linear Envelope EMG signals generate value - average change in resting energy shoulder Subjects A is 0.0067 mV / s, on the subject of B is 0.0048 mV / s, on subject of C is 0.0058 mV / s. For the movement of shoulder flexion movement pattern obtained from the low energy into energy that is higher in all muscles (except in muscle deltoid2) in subjects B and C, while on the subject of A has a change of energy in the 3’th second to 4’th second to smallest energy. (infraspinatus muscle, supraspinatus muscle, latissimus dorsi muscle and pectoralis 2 muscle).

Item Type: Thesis (Masters)
Additional Information: RTE 616.740 754 7 War e
Uncontrolled Keywords: Sinyal Electromyograph, Shoulder Joint, Modified Mean Frequency, Modified Median Frequency, Linear Envelope, Electromyography signal, Shoulder Joint, Modified Mean Frequency, Modified Median Frequency
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing.
Divisions: Faculty of Industrial Technology > Electrical Engineering > (S2) Master Theses
Depositing User: - Davi Wah
Date Deposited: 11 Jun 2019 02:05
Last Modified: 11 Jun 2019 02:05
URI: http://repository.its.ac.id/id/eprint/63099

Actions (login required)

View Item View Item