Identifying engineering, clinical and patient's metrics for evaluating and quantifying performance of brain-machine interface (BMI) systems

Jose L. Contreras Vidal

doi:10.1109/smc.2014.6974126

Identifying engineering, clinical and patient's metrics for evaluating and quantifying performance of brain-machine interface (BMI) systems

Jose L. Contreras Vidal

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

6 Scopus citations

Abstract

Brain-machine interface (BMI) devices have unparalleled potential to restore functional movement capabilities to stroke, paralyzed and amputee patients. Although BMI systems have achieved success in a handful of investigative studies, translation of closed-loop neuroprosthetic devices from the laboratory to the market is challenged by gaps in the scientific data regarding long-term device reliability and safety, uncertainty in the regulatory, market and reimbursement pathways, lack of metrics for evaluating and quantifying performance in BMI systems, as well as patientacceptance challenges that impede their fast and effective translation to the end user. This review focuses on the identification of engineering, clinical and user's BMI metrics for new and existing BMI applications.

Original language	English (US)
Title of host publication	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1489-1492
Number of pages	4
Volume	2014-January
Edition	January
DOIs	https://doi.org/10.1109/smc.2014.6974126
State	Published - 2014
Event	2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States Duration: Oct 5 2014 → Oct 8 2014

Other

Other	2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014
Country/Territory	United States
City	San Diego
Period	10/5/14 → 10/8/14

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

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10.1109/smc.2014.6974126

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Contreras Vidal, J. L. (2014). Identifying engineering, clinical and patient's metrics for evaluating and quantifying performance of brain-machine interface (BMI) systems. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (January ed., Vol. 2014-January, pp. 1489-1492). Article 6974126 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/smc.2014.6974126

Identifying engineering, clinical and patient's metrics for evaluating and quantifying performance of brain-machine interface (BMI) systems. / Contreras Vidal, Jose L.
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. Vol. 2014-January January. ed. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1489-1492 6974126.

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

Contreras Vidal, JL 2014, Identifying engineering, clinical and patient's metrics for evaluating and quantifying performance of brain-machine interface (BMI) systems. in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. January edn, vol. 2014-January, 6974126, Institute of Electrical and Electronics Engineers Inc., pp. 1489-1492, 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, San Diego, United States, 10/5/14. https://doi.org/10.1109/smc.2014.6974126

Contreras Vidal JL. Identifying engineering, clinical and patient's metrics for evaluating and quantifying performance of brain-machine interface (BMI) systems. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. January ed. Vol. 2014-January. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1489-1492. 6974126 doi: 10.1109/smc.2014.6974126

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Identifying engineering, clinical and patient's metrics for evaluating and quantifying performance of brain-machine interface (BMI) systems

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