A Real-Time DSP-Based Biohybrid MEA System for Seizure Detection In Vitro

被引：0

作者：

Ahmadi-Farsani, Javad ^{[1
]}

Caron, Davide ^{[2
]}

Panuccio, Gabriella ^{[2
]}

Linares-Barranco, Bernabe ^{[1
]}

Serrano-Gotarredona, Teresa ^{[1
]}

机构：

[1] Univ Seville, CSIC, Inst Microelect Sevilla, Seville, Spain

[2] Ist Italiano Tecnol, Enhnced Regenerat Med, Genoa, Italy

来源：

2021 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (IEEE MEMEA 2021) | 2021年

基金：

欧盟地平线“2020”;

关键词：

biohybrid; real-time seizure detection; field potential to spike converter; neuromorphic engineering; closed-loop electrophysiology; microelectrode array; DSP-based neuron;

D O I：

10.1109/MeMeA52024.2021.9478753

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents a biohybrid arrangement made of a commercial microelectrode array (MEA) system for seizure-like activity detection in brain slices. The set-up takes advantage of an embedded fixed-point digital signal processor (DSP) to implement a neuron model and a field-potential to spike converter (FP2SP). The neuron model is biologically plausible and capable of generating various firing modalities. Based on a three-step algorithm, FP2SP extracts spikes from the epileptiform activity generated by brain slices. The seizure detector system is developed by connecting the FP2SP to the model neuron and properly tuning the FP2SP parameters. The results show that all the blocks of this system can operate properly in real-time mode and recognize seizure-like activity.

引用

页数：5

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