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Adding Wisdom to ‘smart’ Bioelectronic Systems: A Design Framework for Physiologic Control Including Practical Examples

Year: 2019

Type: article

Abstract: This perspective provides an overview of how risk can be effectively considered in physiological control loops that strive for semi-to-fully automated operation. The perspective first introduces the motivation, user needs and framework for the design of a physiological closed-loop controller. Then, we discuss specific risk areas and use examples from historical medical devices to illustrate the key concepts. Finally, we provide a design overview of an adaptive bidirectional brain-machine interface, currently undergoing human clinical studies, to synthesize the design principles in an exemplar application.

Source: Bioelectronics in Medicine

DOI: 10.2217/bem-2019-0008

Authors: Aysegul Gunduz, Enrico Opri, Ro'ee Gilron, Vaclav Kremen, Gregory Worrell, Phil Starr, Kent Leyde, Timothy Denison

Institutions: University of Florida, University of California, San Francisco, Mayo Clinic, University of Oxford

Language: English

Topic: Neuroscience and Neural Engineering

Subfield: Cellular and Molecular Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funders: National Science Foundation, Royal Academy of Engineering, National Institutes of Health, National Institute of Neurological Disorders and Stroke

Awards: The motor network in Parkinson's disease: Mechanisms of therapy, G2875759400, The Human Thalamocortical Network in Tourette Syndrome, Neurophysiologically Based Brain State Tracking & Modulation in Focal Epilepsy, CAREER: Stimulation on Demand: Responsive Deep Brain Stimulation for the Treatment of Tourette Syndrome, G5889935700, Closing the Loop on Tremor: A Responsive Deep Brain Stimulator for the Treatment of Essential Tremor, G723212257

OpenAlex ID: W2947009031

FWCI: 1.553

Cites: 59

Cited by: 19

Related to: 10