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A Review of Control Strategies in Closed-Loop Neuroprosthetic Systems.

Wright J, Macefield VG, van Schaik A, Tapson JC - Front Neurosci (2016)

Bottom Line: It has been widely recognized that closed-loop neuroprosthetic systems achieve more favorable outcomes for users then equivalent open-loop devices.Improved performance of tasks, better usability, and greater embodiment have all been reported in systems utilizing some form of feedback.The final section examines the different approaches to feedback in current neuroprosthetic and neurorobotic systems.

View Article: PubMed Central - PubMed

Affiliation: Biomedical Engineering and Neuroscience, The MARCS Institute, University of Western Sydney Sydney, NSW, Australia.

ABSTRACT
It has been widely recognized that closed-loop neuroprosthetic systems achieve more favorable outcomes for users then equivalent open-loop devices. Improved performance of tasks, better usability, and greater embodiment have all been reported in systems utilizing some form of feedback. However, the interdisciplinary work on neuroprosthetic systems can lead to miscommunication due to similarities in well-established nomenclature in different fields. Here we present a review of control strategies in existing experimental, investigational and clinical neuroprosthetic systems in order to establish a baseline and promote a common understanding of different feedback modes and closed-loop controllers. The first section provides a brief discussion of feedback control and control theory. The second section reviews the control strategies of recent Brain Machine Interfaces, neuromodulatory implants, neuroprosthetic systems, and assistive neurorobotic devices. The final section examines the different approaches to feedback in current neuroprosthetic and neurorobotic systems.

No MeSH data available.


Related in: MedlinePlus

Neuroprosthetic Systems. An illustration of the conceptual space of neuroprosthetic devices. Devices can be classified as similar if they provide assistance in the same Modality, have an equivalent level of Invasiveness, or interface with the user's nervous system in the same Location.
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Figure 1: Neuroprosthetic Systems. An illustration of the conceptual space of neuroprosthetic devices. Devices can be classified as similar if they provide assistance in the same Modality, have an equivalent level of Invasiveness, or interface with the user's nervous system in the same Location.

Mentions: When considering these devices in the context of control and feedback it can be helpful to place them along a number of axes (Figure 1) to partition the large variety of systems and approaches. The first axis we have considered is the location of the interface with the nervous system, with the Central Nervous System (CNS) subdivided into the brain and the spinal cord, and then the Peripheral Nervous System (PNS), consisting of afferent and efferent pathways. Along this axis and additional distinction can be drawn between single channel systems that use a single electrode as the interface to the subject's nervous system, and multichannel systems which utilize many parallel channels for interface. Finally the channel can be unidirectional for simplex communication, or bidirectional for half-duplex, or full duplex communication.


A Review of Control Strategies in Closed-Loop Neuroprosthetic Systems.

Wright J, Macefield VG, van Schaik A, Tapson JC - Front Neurosci (2016)

Neuroprosthetic Systems. An illustration of the conceptual space of neuroprosthetic devices. Devices can be classified as similar if they provide assistance in the same Modality, have an equivalent level of Invasiveness, or interface with the user's nervous system in the same Location.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4940409&req=5

Figure 1: Neuroprosthetic Systems. An illustration of the conceptual space of neuroprosthetic devices. Devices can be classified as similar if they provide assistance in the same Modality, have an equivalent level of Invasiveness, or interface with the user's nervous system in the same Location.
Mentions: When considering these devices in the context of control and feedback it can be helpful to place them along a number of axes (Figure 1) to partition the large variety of systems and approaches. The first axis we have considered is the location of the interface with the nervous system, with the Central Nervous System (CNS) subdivided into the brain and the spinal cord, and then the Peripheral Nervous System (PNS), consisting of afferent and efferent pathways. Along this axis and additional distinction can be drawn between single channel systems that use a single electrode as the interface to the subject's nervous system, and multichannel systems which utilize many parallel channels for interface. Finally the channel can be unidirectional for simplex communication, or bidirectional for half-duplex, or full duplex communication.

Bottom Line: It has been widely recognized that closed-loop neuroprosthetic systems achieve more favorable outcomes for users then equivalent open-loop devices.Improved performance of tasks, better usability, and greater embodiment have all been reported in systems utilizing some form of feedback.The final section examines the different approaches to feedback in current neuroprosthetic and neurorobotic systems.

View Article: PubMed Central - PubMed

Affiliation: Biomedical Engineering and Neuroscience, The MARCS Institute, University of Western Sydney Sydney, NSW, Australia.

ABSTRACT
It has been widely recognized that closed-loop neuroprosthetic systems achieve more favorable outcomes for users then equivalent open-loop devices. Improved performance of tasks, better usability, and greater embodiment have all been reported in systems utilizing some form of feedback. However, the interdisciplinary work on neuroprosthetic systems can lead to miscommunication due to similarities in well-established nomenclature in different fields. Here we present a review of control strategies in existing experimental, investigational and clinical neuroprosthetic systems in order to establish a baseline and promote a common understanding of different feedback modes and closed-loop controllers. The first section provides a brief discussion of feedback control and control theory. The second section reviews the control strategies of recent Brain Machine Interfaces, neuromodulatory implants, neuroprosthetic systems, and assistive neurorobotic devices. The final section examines the different approaches to feedback in current neuroprosthetic and neurorobotic systems.

No MeSH data available.


Related in: MedlinePlus