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公开(公告)号:US20240296962A1
公开(公告)日:2024-09-05
申请号:US18594719
申请日:2024-03-04
Inventor: Ji Woong CHOI , Seong Tak Kang , Yun Ho Jeong , Eun Ho Kim
IPC: G16H50/70
CPC classification number: G16H50/70
Abstract: A neurotransmitter concentration measuring apparatus includes a data collecting unit configured to collect fast-scan cyclic voltammetry (FSCV) data where capacitive charging current is included in faradaic current varying depending on injection concentration for each of multiple neurotransmitters, a data processing unit configured to process the FSCV data as second-derivative-based background removal (SDBR) data in a faradaic current form where the charging current is excluded, based on a second derivative for voltage of an individual voltammogram generated for each scan by background subtraction in the FSCV data, a deep learning processing unit configured to build a deep learning model that simultaneously estimates the concentration of the multiple neurotransmitters by learning the SDBR data with a deep learning network and a measurement result providing unit configured to simultaneously provide concentration measurement results of a neurotransmitter varying depending on real-time injection for each of the multiple neurotransmitters based on the learning model.
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公开(公告)号:US20230375502A1
公开(公告)日:2023-11-23
申请号:US18120771
申请日:2023-03-13
Inventor: Ji Woong CHOI , Seong Tak Kang , Yong Seok Oh , Jeong Rak Park , Yun Ho Jeong
IPC: G01N27/416 , G01N27/48 , G01N33/94
CPC classification number: G01N27/4163 , G01N27/48 , G01N33/9413 , A61B5/14546
Abstract: Disclosed is a technology of extracting faradaic current-type Second-Derivative-based Background Removal (SDBR) data, from which a capacitive charge current is subtracted, through the second derivative after background subtraction of FSCV data and providing a neurotransmitter concentration measurement result based on the extracted SDBR data. More particularly, a neurotransmitter concentration measuring apparatus according to an embodiment of the present disclosure includes a data collector configured to collect Fast-Scan Cyclic Voltammetry (FSCV) data in which a capacitive charge current is reflected in a faradaic current that changes according to neurotransmitter injection; a data processor configured to process the FSCV data as the faradaic current-type Second-Derivative-based Background Removal (SDBR) data, from which the capacitive charge current is subtracted, based on the second derivative for a voltage of an individual voltammogram generated for each scan by background subtraction in the FSCV data; and a measurement result provider configured to provide a concentration measurement result of a neurotransmitter that changes according to the neurotransmitter injection based on the SDBR data.
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