Automated Sleep Classification for Implantable Devices

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU138064" target="_blank" >RIV/00216305:26220/20:PU138064 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Automated Sleep Classification for Implantable Devices
Original language description
Rationale: Advanced implantable electrical brain stimulation devices (EBS) enable continuous intracranial electroencephalographic (iEEG) recording. Analysis of long-term iEEG data acquired by such systems reveals new opportunities for objective monitoring of EBS outcome and patient health and well-being. Long-term sleep analysis using the continuous iEEG has potential for evaluating the effects of EBS on sleep quality. With new technology new challenges also arise; synchronous EBS and iEEG streaming make accurate classification of iEEG data into sleep stages challenging. Methods: A human subject underwent long-term monitoring using the Medtronic investigational Summit RC+S (TM) implantable neural stimulator (INS) with electrodes implanted in bilateral hippocampus & anterior nucleus of the thalamus. Three consecutive nights of standard sleep clinical polysomnography (PSG) were recorded simultaneously with continuous iEEG data streaming from the INS. The first night was stimulation-free, and in the sec
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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