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.
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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 > 20101-(S2) Master Thesis |
| 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 |
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