A hybrid SVM/HMM based system for the state detection of individual finger movements from multichannel ECoG signals
2011 5th International IEEE/EMBS Conference on Neural Engineering
457 - 460
Item Usage Stats
A hybrid state detection algorithm is presented for the estimation of baseline and movement states which can be used to trigger a free paced neuroprostethic. The hybrid model was constructed by fusing a multiclass Support Vector Machine (SVM) with a Hidden Markov Model (HMM), where the internal hidden state observation probabilities were represented by the discriminative output of the SVM. The proposed method was applied to the multichannel Electrocorticogram (ECoG) recordings of BCI competition IV to identify the baseline and movement states while subjects were executing individual finger movements. The results are compared to regular Gaussian Mixture Model (GMM)-based HMM with the same number of states as SVM-based HMM structure. Our results indicate that the proposed hybrid state estimation method out-performs the standard HMM-based solution in all subjects studied with higher latency. The average latency of the hybrid decoder was approximately 290ms. © 2011 IEEE.
Gaussian Mixture Model
Hybrid state estimation
Multiclass support vector machines
Number of state
Hidden Markov models
Published Version (Please cite this version)http://dx.doi.org/10.1109/NER.2011.5910585
Showing items related by title, author, creator and subject.
Uyanık, İ.; Saranlı U.; Morgϋl, Ö.; Ankaralı, M. M. (Elsevier B.V., 2016)In this paper, we present a state-space system identification technique for a class of hybrid LTP systems, formulated in the frequency domain based on input-output data. Other than a few notable exceptions, the majority ...
Gokbayrak, K. (2011)We consider a single-stage hybrid manufacturing system where jobs arrive according to a Poisson process. These jobs undergo a deterministic process which is controllable. We define a stochastic hybrid optimal control problem ...
Guzelturk, B.; Menk, F.; Philipps, K.; Kelestemur Y.; Olutas M.; Zentel, R.; Demir, Hilmi Volkan (American Chemical Society, 2016)Here we present the first account of conductive polymer/colloidal nanoplatelet hybrids. For this, we developed DEH-PPV-based polymers with two different anchor groups (sulfide and amine) acting as surfactants for CdSe ...