Deteksi Intensi Pergerakan Jari Menggunakan Metode Power Spectral Density dengan Stimulus Visual
Abstrak
Pada penelitian ini dilakukan pendeteksian pergerakan jari menggunakan fitur Power Spectral Density (PSD) Burg. Sinyal EEG direkam dengan frekuensi sampling 1000 Hz. Analisis dilakukan dengan membagi sinyal menjadi tiga segmen; 1000 ms, 500 ms dan 250 ms. Common Average Reference (CAR) dan Support Vector Machine (SVM) digunakan untuk ekstraksi fitur dan pengenalan pola. Hasil penelitian menunjukkan bahwa sistem dapat melakukan deteksi pergerakan jari dengan akurasi ±65,37% dengan panjang sampel 1000 ms.
Referensi
Dennis J. McFarland, Laurie A. Miner, Theresa M. Vaughan, and Jonathan R. Wolpaw, "Mu and Beta Rhythm Topographies During Motor Imagery and Actual Movements", Brain Topography, Volume 12. Number 3, 2000.
Tatum, W., et. al. “Handbook of EEG Interpretation”, Demos Medical Publishing, USA, 2008.
Sanei, S.and Chambers, A., “EEG Signal Processing”, John Willey & Sons, Ltd, United Kingdom, 2007.
Juergen Mellinger, “User Tutorial:Mu Rhythm BCI Tutorial”, 2007. [Online]. Available: http://www.bci2000.org/wiki/.
Wolpow, J.R. , et al. Brain-computer interfaces for communication andcontrol. Clinical Neurophysiology 113 (2002 ) 767-791. Elsevier. 2002.
Garcia, Gary. Direct Brain-Computer Communication Trough Scalp Recorded EEG Signal. Lausanne, EPFL. 2004.
(2014) BCI2000 website. [Online].Available: http://www.schalklab.org/research/bci2000.
Ludwig, K.A. et. al Using a Common Average Reference to Improve Cortical Neural Recording From Microelectrode Arrays. Journal of Neurophysiology, 101(3):1679-1689. 2009.
Darmakusuma R., et. al., “Revisit: Pattern Recognition of Mu-Rhythm Using Autoregressive and Linier Classifier”, ICSET2014, Bandung. 2014.
(2014) Swartz Center for Computational Neuroscience website [Online]. Available: http://sccn.ucsd.edu.
Ahmadi, A., et.al., "Light-weight Single Trial EEG Signal Processing Algorithms: Computational Profiling for Low Power Design", International Conference of the IEEE Engineering in Medicine and Biology Society, 2011:4426-30. 2011.
Carlos A. Pardo, M.D., Brain, Spinal Cord and Cells: A Neuro-primer for Non-neurologists, Transverse Myelitis Association Journal Volume 1, Article 8. Johns Hopkins Transverse Myelitis Center; Johns Hopkins University School of Medicine. 2006.
Melissa Conrad Stöppler, MD., “Paralysis”, 2012. [Online] Available:http://www.medicinenet.com/paralysis/symptoms.htm.
Malmivuo, J. and Plonsey, R., Bioeletromagnetism: Prinsipes and Application of Bioelectric and Biomagnetic Fields. Oxford University Press. 1995.
Selim R Benbadis, MD, et. al., “Normal Awake EEG”, 2013. [Online] Available: http://emedicine.medscape.com/article/1140143-overview.
Pires. G, Nunes. U,and Castelo-Branco M., “Single-Trial EEG Classification of Movement Related Potential”, IEEE 10th International Conference on Rehabilitation Robotics, June 12-15, Noordwijk, The Netherlands. 2007.
Delorme, A., Rousselet, G., Mace, M., Fabre-Thorpe M. Interaction of Bottom-up and Top-down processing in the fast visual analysis of natural scenes. Cognitive Brain Research, 103-113.
(2015), Mathworks website [Online], Available: http://www.mathworks.com/
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