SmartFSCV：针对羟色胺的人工智能微型化 FSCV 设备

IF 2.7 Q3 ENGINEERING, BIOMEDICAL

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2024-01-19 DOI:10.1109/OJEMB.2024.3356177

Dean M. Corva;Egan H. Doeven;Brenna Parke;Scott D. Adams;Susannah J. Tye;Parastoo Hashemi;Michael Berk;Abbas Z. Kouzani

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引用次数: 0

摘要

目标：对目标脑区的血清素进行实时动态监测，将大大改善各种神经和精神疾病的诊断和治疗方法。目前的血清素测量系统缺乏即时性和便携性，而且体积庞大、价格昂贵。方法：我们展示了一种新型微型设备，名为 SmartFSCV，旨在利用快速扫描循环伏安法（FSCV）监测血清素的动态变化。该装置可输出 -3 至 +3 V 之间的精确电压电位，并以毫微安级的精度测量 -1.5 至 +1.5 μA 之间的电流。该装置可输出可修改的任意波形进行各种测量，并使用扫描速率为 1000 V/s 的 N 型波形来感测血清素。结果进行了四次实验来验证 SmartFSCV：静态台架测试、动态血清素测试和两次人工智能（AI）算法测试。结论：这些测试证实了 SmartFSCV 的能力：这些测试证实了 SmartFSCV 利用人工智能准确感测血清素并做出知情决策的能力。

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SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin

Goal: Dynamically monitoring serotonin in real-time within target brain regions would significantly improve the diagnostic and therapeutic approaches to a variety of neurological and psychiatric disorders. Current systems for measuring serotonin lack immediacy and portability and are bulky and expensive. Methods: We present a new miniaturised device, named SmartFSCV, designed to monitor dynamic changes of serotonin using fast-scan cyclic voltammetry (FSCV). This device outputs a precision voltage potential between −3 to +3 V, and measures current between −1.5 to +1.5 μA with nano-ampere accuracy. The device can output modifiable arbitrary waveforms for various measurements and uses an N-shaped waveform at a scan-rate of 1000 V/s for sensing serotonin. Results: Four experiments were conducted to validate SmartFSCV: static bench test, dynamic serotonin test and two artificial intelligence (AI) algorithm tests. Conclusions: These tests confirmed the ability of SmartFSCV to accurately sense and make informed decisions about the presence of serotonin using AI.

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来源期刊

IEEE Open Journal of Engineering in Medicine and Biology ENGINEERING, BIOMEDICAL-

CiteScore

9.50

自引率

3.40%

发文量

审稿时长

10 weeks

期刊介绍： The IEEE Open Journal of Engineering in Medicine and Biology (IEEE OJEMB) is dedicated to serving the community of innovators in medicine, technology, and the sciences, with the core goal of advancing the highest-quality interdisciplinary research between these disciplines. The journal firmly believes that the future of medicine depends on close collaboration between biology and technology, and that fostering interaction between these fields is an important way to advance key discoveries that can improve clinical care.IEEE OJEMB is a gold open access journal in which the authors retain the copyright to their papers and readers have free access to the full text and PDFs on the IEEE Xplore® Digital Library. However, authors are required to pay an article processing fee at the time their paper is accepted for publication, using to cover the cost of publication.