Discriminative training of subject-dependent Gaussian mixture models for portable SSVEP identification-Reference-Cited by-同舟云学术

Discriminative training of subject-dependent Gaussian mixture models for portable SSVEP identification

Published:2018-12 Issue: Volume:9-10 Page:76-87
ISSN:2352-6483
Container-title:Smart Health
language:en
Short-container-title:Smart Health

Author:

Dehzangi Omid,Farooq Muhamed,Galster Scott

Publisher

Elsevier BV

Subject

Health Information Management,Computer Science Applications,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference25 articles.

1. Dehzangi, O., & Farooq, M. Portable brain computer interface for the intensive care unit patient communication using subject-dependent ssvep identification.

2. Dehzangi, O., & Jafari, R. (2015). Time-varying and simultaneous frequency stimulation for multi-class ssvep-based brain-computer interface. In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, IEEE, pp. 1757-1760.

3. Dehzangi, O., Nathan, V., Zong, C., Lee, C., Kim, I., & Jafari, R. (2014). A novel stimulation for multi-class ssvep-based brain-computer interface using patterns of time-varying frequencies. In: Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, IEEE, pp. 118-121.

4. Farooq, M., & Dehzangi, O. (2017). High accuracy wearable ssvep detection using feature profiling and dimensionality reduction. In: Wearable and Implantable Body Sensor Networks (BSN), 2017 IEEE 14th International Conference on, IEEE, pp. 161-164.

5. Itai, A., & Funase, A. (2012). Spectrum based feature extraction using spectrum intensity ratio for ssvep detection. In: Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, IEEE, pp. 5947-5950.