Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation

N. Zaker; A. Dutta; A. Maurer; J. J. Zhang; S. Hanrahan; A. O. Hebb; N. Kovvali; Antonia Papandreou-Suppappola

doi:10.1109/ACSSC.2014.7094429

Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation

N. Zaker, A. Dutta, A. Maurer, J. J. Zhang, S. Hanrahan, A. O. Hebb, N. Kovvali, Antonia Papandreou-Suppappola

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

We propose adaptive learning methods for identifying different behavioral tasks of patients with Parkinson's disease (PD). The methods use local field potential (LFP) signals that were collected during Deep Brain Stimulation (DBS) implantation surgeries. Using time-frequency signal processing methods, features are first extracted and then clustered in the feature space using two different methods. The first method requires training and uses a hybrid model that combines support vector machines and hidden Markov models. The second method does not require any a priori information and uses Dirichlet process Gaussian mixture models. Using the DBS acquired signals, we demonstrate the performance of both methods in clustering different behavioral tasks of PD patients and discuss the advantages of each method under different conditions.

Original language	English (US)
Title of host publication	Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	208-212
Number of pages	5
ISBN (Electronic)	9781479982974
DOIs	https://doi.org/10.1109/ACSSC.2014.7094429
State	Published - Apr 24 2015
Event	48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: Nov 2 2014 → Nov 5 2014

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2015-April
ISSN (Print)	1058-6393

Other

Other	48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/Territory	United States
City	Pacific Grove
Period	11/2/14 → 11/5/14

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2014.7094429

Cite this

Zaker, N., Dutta, A., Maurer, A., Zhang, J. J., Hanrahan, S., Hebb, A. O., Kovvali, N., & Papandreou-Suppappola, A. (2015). Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation. In M. B. Matthews (Ed.), Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers (pp. 208-212). Article 7094429 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2015-April). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2014.7094429

Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation. / Zaker, N.; Dutta, A.; Maurer, A. et al.
Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers. ed. / Michael B. Matthews. IEEE Computer Society, 2015. p. 208-212 7094429 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2015-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zaker, N, Dutta, A, Maurer, A, Zhang, JJ, Hanrahan, S, Hebb, AO, Kovvali, N & Papandreou-Suppappola, A 2015, Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation. in MB Matthews (ed.), Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers., 7094429, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2015-April, IEEE Computer Society, pp. 208-212, 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/2/14. https://doi.org/10.1109/ACSSC.2014.7094429

Zaker N, Dutta A, Maurer A, Zhang JJ, Hanrahan S, Hebb AO et al. Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation. In Matthews MB, editor, Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society. 2015. p. 208-212. 7094429. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.2014.7094429

Zaker, N. ; Dutta, A. ; Maurer, A. et al. / Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation. Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers. editor / Michael B. Matthews. IEEE Computer Society, 2015. pp. 208-212 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation

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