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Long-term stability of the chronic epidural wireless recorder WIMAGINE in tetraplegic patients
- Source :
- Journal of Neural Engineering. 18:056026
- Publication Year :
- 2021
- Publisher :
- IOP Publishing, 2021.
-
Abstract
- Objective.The evaluation of the long-term stability of ElectroCorticoGram (ECoG) signals is an important scientific question as new implantable recording devices can be used for medical purposes such as Brain-Computer Interface (BCI) or brain monitoring.Approach.The long-term clinical validation of wireless implantable multi-channel acquisition system for generic interface with neurons (WIMAGINE), a wireless 64-channel epidural ECoG recorder was investigated. The WIMAGINE device was implanted in two quadriplegic patients within the context of a BCI protocol. This study focused on the ECoG signal stability in two patients bilaterally implanted in June 2017 (P1) and in November 2019 (P2).Methods. The ECoG signal was recorded at rest prior to each BCI session resulting in a 32 month and in a 14 month follow-up for P1 and P2 respectively. State-of-the-art signal evaluation metrics such as root mean square (RMS), the band power (BP), the signal to noise ratio (SNR), the effective bandwidth (EBW) and the spectral edge frequency (SEF) were used to evaluate stability of signal over the implantation time course. The time-frequency maps obtained from task-related motor activations were also studied to investigate the long-term selectivity of the electrodes.Mainresults.Based on temporal linear regressions, we report a limited decrease of the signal average level (RMS), spectral distribution (BP) and SNR, and a remarkable steadiness of the EBW and SEF. Time-frequency maps obtained during motor imagery, showed a high level of discrimination 1 month after surgery and also after 2 years.Conclusions.The WIMAGINE epidural device showed high stability over time. The signal evaluation metrics of two quadriplegic patients during 32 months and 14 months respectively provide strong evidence that this wireless implant is well-suited for long-term ECoG recording.Significance.These findings are relevant for the future of implantable BCIs, and could benefit other patients with spinal cord injury, amyotrophic lateral sclerosis, neuromuscular diseases or drug-resistant epilepsy.
- Subjects :
- Epidural Space
medicine.medical_specialty
business.industry
Biomedical Engineering
Brain
Electroencephalography
Context (language use)
Audiology
medicine.disease
Signal
Electrodes, Implanted
Cellular and Molecular Neuroscience
Motor imagery
Signal-to-noise ratio
Brain-Computer Interfaces
Humans
Medicine
Electrocorticography
Implant
Spectral edge frequency
business
Wireless Technology
Spinal cord injury
Brain–computer interface
Subjects
Details
- ISSN :
- 17412552 and 17412560
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Journal of Neural Engineering
- Accession number :
- edsair.doi.dedup.....f58a3a933fa8dc32c3da878350b68e15