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A hardware efficient implementation of a spike detection algorithm in neural closed-loop-systems

: Erbslöh, Andreas; Burkard, Roman; Viga, Reinhard; Kokozinski, Rainer

Staat, Manfred (Hrsg.) ; Fachhochschule Aachen; Young Researchers Academy - MedTech in NRW -YRA-:
3rd YRA MedTech Symposium "Young Researchers Academy MedTech in NRW" 2019. Symposium Proceedings : May 24, 2019, FH Aachen; FH Aachen / Campus Jülich
Duisburg: Universität Duisburg-Essen, 2019
ISBN: 978-3-940402-22-6
DOI: 10.17185/duepublico/48750
MedTech Symposium <3, 2019, Jülich>
Fraunhofer IMS ()

Different neurological diseases lead to a limitation/loss of physical sensory perception. Nowadays, the located troubleshooting cell tissue will be stimulated electrically to restore the sensory function e.g. by using an electronic implant. For example, the motoric deficiency of Parkinson’s patients can be compensated by using a deep brain stimulator [1]. The hearing loss can be restored with a cochlear implant [2] and a retina implant enables patients blinded by Retinopathies Pigmentosa to have a visual impression [3]. One major disadvantage of these implants is that the stimulation parameters must be adjusted at runtime by the user itself or by medical staff. Therefore, the focus of the biological and medical research shifts towards a closed-loop stimulation. These systems offer the possibility of stimulating the cellular tissue of interest and while simultaneously recording the evoked response. The evaluation of the measured data can lead to new therapy approaches.