Application Of Spectrogram In Analysing Electromyography (EMG) Signals Of Manual Lifting
-
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network (ARPN)
2016
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/18795/2/2016%20Journal%20Application%20of%20spectrogram%20in%20analysing%20electromyography%20%28EMG%29%20signals%20of%20manual%20lifting.pdf http://eprints.utem.edu.my/id/eprint/18795/ http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3852.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |
| id |
my.utem.eprints.18795 |
|---|---|
| record_format |
eprints |
| spelling |
my.utem.eprints.187952021-07-23T12:34:59Z http://eprints.utem.edu.my/id/eprint/18795/ Application Of Spectrogram In Analysing Electromyography (EMG) Signals Of Manual Lifting Tengku Zawawi , Tengku Nor Shuhada Abdullah, Abdul Rahim Halim, Isa Shair, Ezreen Farina Mohamad Saleh, Saleha R Medicine (General) RC Internal medicine T Technology (General) TK Electrical engineering. Electronics Nuclear engineering - Asian Research Publishing Network (ARPN) 2016-03 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/18795/2/2016%20Journal%20Application%20of%20spectrogram%20in%20analysing%20electromyography%20%28EMG%29%20signals%20of%20manual%20lifting.pdf Tengku Zawawi , Tengku Nor Shuhada and Abdullah, Abdul Rahim and Halim, Isa and Shair, Ezreen Farina and Mohamad Saleh, Saleha (2016) Application Of Spectrogram In Analysing Electromyography (EMG) Signals Of Manual Lifting. ARPN Journal Of Engineering And Applied Sciences, 11. pp. 3603-3609. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3852.pdf |
| institution |
Universiti Teknikal Malaysia Melaka |
| building |
UTEM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknikal Malaysia Melaka |
| content_source |
UTEM Institutional Repository |
| url_provider |
http://eprints.utem.edu.my/ |
| language |
English |
| topic |
R Medicine (General) RC Internal medicine T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
R Medicine (General) RC Internal medicine T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Tengku Zawawi , Tengku Nor Shuhada Abdullah, Abdul Rahim Halim, Isa Shair, Ezreen Farina Mohamad Saleh, Saleha Application Of Spectrogram In Analysing Electromyography (EMG) Signals Of Manual Lifting |
| description |
- |
| format |
Article |
| author |
Tengku Zawawi , Tengku Nor Shuhada Abdullah, Abdul Rahim Halim, Isa Shair, Ezreen Farina Mohamad Saleh, Saleha |
| author_facet |
Tengku Zawawi , Tengku Nor Shuhada Abdullah, Abdul Rahim Halim, Isa Shair, Ezreen Farina Mohamad Saleh, Saleha |
| author_sort |
Tengku Zawawi , Tengku Nor Shuhada |
| title |
Application Of Spectrogram In Analysing Electromyography (EMG) Signals Of Manual Lifting |
| title_short |
Application Of Spectrogram In Analysing Electromyography (EMG) Signals Of Manual Lifting |
| title_full |
Application Of Spectrogram In Analysing Electromyography (EMG) Signals Of Manual Lifting |
| title_fullStr |
Application Of Spectrogram In Analysing Electromyography (EMG) Signals Of Manual Lifting |
| title_full_unstemmed |
Application Of Spectrogram In Analysing Electromyography (EMG) Signals Of Manual Lifting |
| title_sort |
application of spectrogram in analysing electromyography (emg) signals of manual lifting |
| publisher |
Asian Research Publishing Network (ARPN) |
| publishDate |
2016 |
| url |
http://eprints.utem.edu.my/id/eprint/18795/2/2016%20Journal%20Application%20of%20spectrogram%20in%20analysing%20electromyography%20%28EMG%29%20signals%20of%20manual%20lifting.pdf http://eprints.utem.edu.my/id/eprint/18795/ http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3852.pdf |
| _version_ |
1706960923491565568 |