| 학회 |
한국화학공학회 |
| 학술대회 |
2014년 가을 (10/22 ~ 10/24, 대전 DCC) |
| 권호 |
20권 2호, p.1612 |
| 발표분야 |
생물화공 |
| 제목 |
Diagnostic nerve felling assay by using artificial intelligence neuro circuits 인공지능회로를 사용한 신경감각진단 |
| 초록 |
This paper presents the diagnostic artificial intelligence testing system used by the neuro circuit with voltammetric amplified chrono circuit. Neuro assay of felling current was researched using three electrode probe with handmade film sensors as copper working, reference and counter by 0.2 mm tick × 1cm circle electrode. Under optimum conditions, various para strengths were determined on the body skins such as potential metrics, current response, amplified sensitivity, potential amplification, accumulation potential, oxidation and reduction scan, as well as other signal strengths determined in vitro muscle. Chrono results are very sensitive to measure signal detection and spectro photometric assay, the results of in vivo assay can be applied to human eye sensors and spectrometric detection. |
| 저자 |
한승엽1, 이수영2, 이경3, 최재혁1, 박진모1, 황원희1, 남우창1
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| 소속 |
1바이오센서(연), 2서울과학기술대, 3Fudan Univ. |
| 키워드 |
Diagnostic nerve felling; artificial intelligence neuro circuits
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| E-Mail |
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| 원문파일 |
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