RANCANG BANGUNELEKTROMIOGRAFI PERMUKAAN PORTABEL
DOI:
https://doi.org/10.25124/jett.v8i1.3844Keywords:
Muscle weakness, Electromyography, Filter Circuit, Surface electrodeAbstract
Kelemahan otot merupakan kondisi ketika salah satu sisi tubuh mengalami kelemahan sehingga bagian tersebut sulit untuk digerakkan. Kelemahan otot umumnya dialami oleh pasien paska stroke atau pasien yang mengalami cidera otot. Akan tetapi penggunaan Electromyography hanya dapat digunakan oleh tenaga medis dan biayanya cukup mahal. Maka dari itu pembuatan surface Electromyography secara portabel ini ditujukan untuk membantu bagi pengguna dalam mengetahui kondisi kekuatan otot. Sinyal otot dapat dibaca dengan adanya elektroda permukaan yang terhubung dengan rangkaian Differential Amplifier, kemudian sinyal diolah dengan rangkaian Fiter: LPF, HPF dan Notch Filter untuk mengurangi noise, dan rangkaian adder untuk menaikkan sinyal agar dapat dibaca adc yang terhubung dengan raspberry pi dan dapat dikoneksikan melalui bluetooth. Pengujian alat keseluruhan Surface Electromyography mampu membaca dan menampilkan sinyal pada raspberry pi dan dapat mengetahui jenis gerakan dengan menggunakan metode FFT dan MPF. Jenis gerakan fleksi mempunyai nilai MPF kurang dari 180Hz dan gerakan ekstensi mempunyai nilai MPF lebih dari 180Hz
Downloads
References
Maulana, R., Putri, R.R.M., 2018. Pengkondisian Sinyal Electromyography sebagai Identifikasi Jenis Gerakan Lengan Manusia. J. Teknol. Inf. Dan Ilmu Komput. 5, 297.
Rachman, I., 2017. BAB I PENDAHULUAN 1.1 Latar Belakang - PDF Free Download [WWW Document]. URL https://docplayer.info/31666504-Bab-i-pendahuluan-1-1-latar-belakang.html (accessed 1.7.20).
A. elhakim, S. B. Setyawan, D. A. Santika, 2019. Detection of Muscle Strength Scale with Surface Electromyography using Multiple Channels Points Measurement Method, The 2nd International Conference on Vocational Innovation and Applied Sciences, ICVIAS22019048.
Admin, 2018. Pemeriksaan Electromyographyi (EMG), Pemeriksaan Saraf. RS Awal Bros. URL http://awalbros.com/technology/pemeriksaan-Electromyographyi/ (accessed 12.26.19).
Zhilenkov, A.A., Kuznetsova, N.I., Zernov, O.I., 2018. Problem of automatic recognition of physical activity from surface electromyography signals, in: 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). Presented at the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), IEEE, Moscow, pp. 1028–1031.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright Notice
An author who publishes in the Jurnal Elektro dan Telekomunikasi Terapan agrees to the following terms:
- Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-NonCommercial 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal
- Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgement of its initial publication in this journal.
- Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).
Read more about the Creative Commons Attribution-NonCommercial 4.0 International License. here: http://creativecommons.org/licenses/by-nc/4.0/.
Privacy Statement
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.