Towards Forever Access for Implanted Brain-Computer Interfaces
The 1st Workshop on Hot Topics in Ethical Computer Systems, April, 2024 Designs for implanted brain-computer interfaces (BCIs) have increased significantly in recent years. Each device promises better clinical outcomes and quality-of-life improvements, yet due to severe and inflexible safety constra...
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Zusammenfassung: | The 1st Workshop on Hot Topics in Ethical Computer Systems, April,
2024 Designs for implanted brain-computer interfaces (BCIs) have increased
significantly in recent years. Each device promises better clinical outcomes
and quality-of-life improvements, yet due to severe and inflexible safety
constraints, progress requires tight co-design from materials to circuits and
all the way up the stack to applications and algorithms. This trend has become
more aggressive over time, forcing clinicians and patients to rely on
vendor-specific hardware and software for deployment, maintenance, upgrades,
and replacement. This over-reliance is ethically problematic, especially if
companies go out-of-business or business objectives diverge from clinical
promises. Device heterogeneity additionally burdens clinicians and healthcare
facilities, adding complexity and costs for in-clinic visits, monitoring, and
continuous access.
Reliability, interoperability, portability, and future-proofed design is
needed, but this unfortunately comes at a cost. These system features sap
resources that would have otherwise been allocated to reduce power/energy and
improve performance. Navigating this trade-off in a systematic way is critical
to providing patients with forever access to their implants and reducing
burdens placed on healthcare providers and caretakers. We study the integration
of on-device storage to highlight the sensitivity of this trade-off and
establish other points of interest within BCI design that require careful
investigation. In the process, we revisit relevant problems in computer
architecture and medical devices from the current era of hardware
specialization and modern neurotechnology. |
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DOI: | 10.48550/arxiv.2409.17496 |