Trends in volumetric-energy efficiency of implantable neurostimulators : A review from a circuits and systems perspective.
Resumen:
This paper presents a comprehensive review of state-of-the-art, commercially available neurostimulators. We analyse key design parameters and performance metrics of 45 implantable medical devices across six neural target categories: deep brain, vagus nerve, spinal cord, phrenic nerve, sacral nerve and hypoglossal nerve. We then benchmark these alongside modern cardiac pacemaker devices that represent a more established market. This work studies trends in device size, electrode number, battery technology (i.e., primary and secondary use and chemistry), power consumption and longevity. This information is analysed to show the course of design decisions adopted by industry and identifying opportunity for further innovation. We identify fundamental limits in power consumption, longevity and size as well as the interdependencies and trade-offs. We propose a figure of merit to quantify volumetric efficiency within specific therapeutic targets, battery technologies/capacities, charging capabilities and electrode count. Finally, we compare commercially available implantable medical devices with recently developed systems in the research community. We envisage this analysis to aid circuit and system designers in system optimisation and identifying innovation opportunities, particularly those related to low power circuit design techniques.
2023 | |
CSIC - Universidad de la República. | |
Batteries Pain Diseases Medical treatment Sleep apnea Medical devices Sensors Neurostimulators Neuromodulation Implantable medical devices Neural interface Energy efficiency Miniaturisation Batt |
|
Inglés | |
Universidad de la República | |
COLIBRI | |
https://ieeexplore.ieee.org/document/9984934
https://hdl.handle.net/20.500.12008/37218 |
|
Acceso abierto | |
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
Sumario: | Publicado en IEEE Transactions on Biomedical Circuits and Systems, vol. 17, no 1, feb 2023, pp 2-20 |
---|