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Signal properties and stability of a chronically implanted endovascular brain computer interface
Nikole Chetty1, Kriti Kacker1, Ariel K Feldman2,3
1Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Medrxiv : the Preprint Server for Health Sciences
|October 3, 2025
Summary
This study shows that endovascular brain-computer interfaces (iBCIs) can reliably record neural signals for over a year in paralyzed individuals. These findings support the long-term use of iBCIs for home-based control of digital devices.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Medical Devices
Background:
- Implanted brain-computer interfaces (iBCIs) offer a pathway for individuals with severe disabilities to control digital devices.
- Long-term, reliable neural signal acquisition is essential for the effectiveness and feasibility of iBCIs.
- This research evaluates the signal characteristics and stability of an endovascular stent-electrode array over one year post-implantation.
Purpose of the Study:
- To investigate the long-term signal stability and characteristics of an endovascular iBCI.
- To assess the feasibility of using iBCIs for continuous neural recording in a home environment.
- To evaluate the performance of a stent-electrode array over a 1-year period.
Main Methods:
- Five participants with paralysis were enrolled in an early feasibility clinical trial of an endovascular iBCI.
- A 16-channel stent-electrode array was implanted in the superior sagittal sinus to record from the motor cortices.
- Neural activity was recorded during home-based sessions, quantifying motor signal strength, resting state features, and electrode impedances over time.
Main Results:
- Sustained differentiation between rest and attempted movement states was observed in high-frequency bands (30-200 Hz).
- Motor-related neural activity modulation persisted over the 1-year study period.
- Most electrode channels showed stable impedance and resting state band power without significant changes over time.
Conclusions:
- Endovascular iBCIs demonstrate suitability for long-term neural signal acquisition in home settings.
- The stent-electrode array successfully recorded movement-related neural modulation for over one year.
- These results support the potential of endovascular BCIs for restoring digital independence in individuals with paralysis.
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Overview
BIBO stability of continuous and discrete -time systems
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.

