SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin
<italic>Goal:</italic> 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 portab...
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10409530/ |
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| author | Dean M. Corva Egan H. Doeven Brenna Parke Scott D. Adams Susannah J. Tye Parastoo Hashemi Michael Berk Abbas Z. Kouzani |
| author_facet | Dean M. Corva Egan H. Doeven Brenna Parke Scott D. Adams Susannah J. Tye Parastoo Hashemi Michael Berk Abbas Z. Kouzani |
| author_sort | Dean M. Corva |
| collection | DOAJ |
| description | <italic>Goal:</italic> 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. <italic>Methods:</italic> 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. <italic>Results:</italic> Four experiments were conducted to validate SmartFSCV: static bench test, dynamic serotonin test and two artificial intelligence (AI) algorithm tests. <italic>Conclusions:</italic> These tests confirmed the ability of SmartFSCV to accurately sense and make informed decisions about the presence of serotonin using AI. |
| format | Article |
| id | doaj-art-a329bccd0c80483fa32133ad1de08e2c |
| institution | Matheson Library |
| issn | 2644-1276 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-a329bccd0c80483fa32133ad1de08e2c2025-07-02T00:09:54ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762024-01-015758510.1109/OJEMB.2024.335617710409530SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting SerotoninDean M. Corva0https://orcid.org/0000-0002-5305-7516Egan H. Doeven1https://orcid.org/0000-0003-2677-4269Brenna Parke2https://orcid.org/0000-0003-4159-8726Scott D. Adams3https://orcid.org/0000-0001-6466-0444Susannah J. Tye4https://orcid.org/0000-0003-1291-4304Parastoo Hashemi5https://orcid.org/0000-0002-0180-767XMichael Berk6https://orcid.org/0000-0002-5554-6946Abbas Z. Kouzani7https://orcid.org/0000-0002-6292-1214School of Engineering, Deakin University, Geelong, VIC, AustraliaSchool of Life and Environmental Sciences, Deakin University, Geelong, VIC, AustraliaDepartment of Bioengineering, Imperial College London, London, U.K.School of Engineering, Deakin University, Geelong, VIC, AustraliaQueensland Brain Institute, The University of Queensland, St. Lucia, QLD, AustraliaDepartment of Bioengineering, Imperial College London, London, U.K.School of Medicine, IMPACT, Deakin University, Geelong, VIC, AustraliaSchool of Engineering, Deakin University, Geelong, VIC, Australia<italic>Goal:</italic> 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. <italic>Methods:</italic> 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. <italic>Results:</italic> Four experiments were conducted to validate SmartFSCV: static bench test, dynamic serotonin test and two artificial intelligence (AI) algorithm tests. <italic>Conclusions:</italic> These tests confirmed the ability of SmartFSCV to accurately sense and make informed decisions about the presence of serotonin using AI.https://ieeexplore.ieee.org/document/10409530/Artificial intelligenceelectrochemistrydevicefast-scan cyclic voltammetryserotonin |
| spellingShingle | Dean M. Corva Egan H. Doeven Brenna Parke Scott D. Adams Susannah J. Tye Parastoo Hashemi Michael Berk Abbas Z. Kouzani SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin IEEE Open Journal of Engineering in Medicine and Biology Artificial intelligence electrochemistry device fast-scan cyclic voltammetry serotonin |
| title | SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin |
| title_full | SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin |
| title_fullStr | SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin |
| title_full_unstemmed | SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin |
| title_short | SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin |
| title_sort | smartfscv an artificial intelligence enabled miniaturised fscv device targeting serotonin |
| topic | Artificial intelligence electrochemistry device fast-scan cyclic voltammetry serotonin |
| url | https://ieeexplore.ieee.org/document/10409530/ |
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