The Effects of Closed-Loop Medical Devices on the Autonomy and Accountability of Persons and Systems

2016 ◽  
Vol 25 (4) ◽  
pp. 623-633 ◽  
Author(s):  
PHILIPP KELLMEYER ◽  
THOMAS COCHRANE ◽  
OLIVER MÜLLER ◽  
CHRISTINE MITCHELL ◽  
TONIO BALL ◽  
...  

Abstract:Closed-loop medical devices such as brain-computer interfaces are an emerging and rapidly advancing neurotechnology. The target patients for brain-computer interfaces (BCIs) are often severely paralyzed, and thus particularly vulnerable in terms of personal autonomy, decisionmaking capacity, and agency. Here we analyze the effects of closed-loop medical devices on the autonomy and accountability of both persons (as patients or research participants) and neurotechnological closed-loop medical systems. We show that although BCIs can strengthen patient autonomy by preserving or restoring communicative abilities and/or motor control, closed-loop devices may also create challenges for moral and legal accountability. We advocate the development of a comprehensive ethical and legal framework to address the challenges of emerging closed-loop neurotechnologies like BCIs and stress the centrality of informed consent and refusal as a means to foster accountability. We propose the creation of an international neuroethics task force with members from medical neuroscience, neuroengineering, computer science, medical law, and medical ethics, as well as representatives of patient advocacy groups and the public.

Author(s):  
Matthias Schultze-Kraft ◽  
Mario Neumann ◽  
Martin Lundfall ◽  
Patrick Wagner ◽  
Daniel Birman ◽  
...  

2013 ◽  
Vol 10 (4) ◽  
pp. 046012 ◽  
Author(s):  
Beata Jarosiewicz ◽  
Nicolas Y Masse ◽  
Daniel Bacher ◽  
Sydney S Cash ◽  
Emad Eskandar ◽  
...  

Author(s):  
S. Srilekha ◽  
B. Vanathi

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.


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