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  4. Energy Savings of Multi-Channel Neurostimulators with Non-Rectangular Current-Mode Stimuli Using Multiple Supply Rails
 
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2022
Conference Paper
Title

Energy Savings of Multi-Channel Neurostimulators with Non-Rectangular Current-Mode Stimuli Using Multiple Supply Rails

Abstract
In neuromodulation applications, conventional current mode stimulation is often preferred over its voltage mode equivalent due to its good control of the injected charge. However, it comes at the cost of less energy-efficient output stages. To increase energy efficiency, recent studies have explored non-rectangular stimuli. The current work highlights the importance of an adaptive supply for an output stage with programmable non-rectangular stimuli and accordingly proposes a system-level architecture for multi-channel stimulators. In the proposed architecture, a multi-output DC/DC Converter (DDC) allows each channel to choose among the available supply levels (i.e., DDC outputs) independently and based on its instant voltage/current requirement. A system-level analysis is carried out in Matlab to calculate the possible energy savings of this solution, compared to the conventional approach with a fixed supply. The energy savings have been simulated for a variety of supply levels and waveform amplitudes, suggesting energy savings of up to 83% when employing 6 DDC outputs and the lowest current amplitude explored (250A), and as high as 26% for a full-scale amplitude (4 mA).
Author(s)
Kolovou-Kouri, Konstantina
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Rashidi, Amin
Varkevisser, Francesc
Serdijn, Wouter
Giagka, Vasiliki  
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Mainwork
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022  
Conference
Engineering in Medicine and Biology Society (EMBC Annual International Conference) 2022  
DOI
10.1109/EMBC48229.2022.9871145
Language
English
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Keyword(s)
  • Optimization

  • DC-DC power convertors

  • biomedical electrodes

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