hisstoryxx Goto Github PK

• 🤔 Currently, I’m looking for a job as a Frontend developer
• I studied bio-signal processing and software validation in my master's course at graduate school. In the first year of my graduate school master's course, I accidentally started a business, I developed a mobile app and website for the first time in 6 months, and became very interested in not only Frontend But also SERVER DEVELOPMENT.

College of Medicine, Yonsei University, Seoul, South Korea Overall GPA 4.34/4.5

• Thesis: Development of cloud-based remote monitoring system for peritoneal dialysis patients

• Academic Focus: Medical Software Device Development & Regulation, Bio-Signal Processing & Machine Learning

College of Health Sciences, Yonsei University, Won Ju Republic of Korea Overall GPA: 3.68/4.5

• Academic Focus: Medical System Engineering, Bio-Signal Processing

MDOC, Seoul, Republic of Korea (m-doc.io)

• Focus: Development and Design Mobile Application and Web System

• Major responsibilities

• Co Founder & CTO
• Mobile App : React Native (JAVASCRIPT), AWS AMPLIFY (SERVERLESS)
• WEB : REACT(JAVASCRIPT), AWS AMPLIFY (SERVERLESS)

• React Native Project (MDOCHOMECARE)

• iOS : https://apps.apple.com/kr/app/%EC%97%A0%EB%8B%A5%ED%99%88%EC%BC%80%EC%96%B4/id1606627654?l
• Android : https://play.google.com/store/apps/details?id=com.choro94.mDochome

• Three JS project

• https://hisstoryxx.vercel.app/

• Next JS project

• https://mddu.yonsei.ac.kr/

• React project

• https://m-doc.io/

• mDocManager : distributed to each hospital

            Demo : https://version3.d30lnrmdlnntoq.amplifyapp.com/#/
  

• Demo Video: https://www.notion.so/hisstoryxx/dea5c9fe37614927b32d6ac2be812bcc?pvs=4

Medical Device Design & Usability Laboratory, Yonsei University, Seoul, Republic of Korea

• Focus: Bio-Signal Processing & Machine Learning • Research

• Simulation and Analysis of Pattern Recognition Neural Network Algorithm for Detection of High risk Uterine Contractions based on Electrohysterogram Frequency analysis, The Korean Society of Medical & Biological Engineering, Fall Conference 2019, PS2-01
• Extraction Parameter of Non-Contraction Interval using Unsupervised Learning for Predicting Preterm Birth, The Korean Society Of Perinatology, Fall Conference, 2020, 20-3312
• Analysis of Uterine Contraction Using K-means algorithm, The Institute of Electronics and Information Engineers Summer Annual Conference of IEIE, 2020, GEP-672
• Design for prediction of Preterm using Preprocessing and CNN-LSTM Network, The Institute of Electronics and Information Engineers Summer Annual Conference of IEIE, 2021 • Major responsibilities
• Analysis Term and Preterm raw EMG data and Design Preprocessing Algorithm
• Design prediction of Preterm Birth Algorithm with Machine Learning

Medical Computer System Laboratory, Yonsei University Won Ju, Republic of Korea

• Focus: Signal-Processing Algorithm Design & Development(MATLAB)

• Research

• Development of Intravenous Injection Rate Measurement Monitoring System with Digital Signal Processing (capstone design)

• Major responsibilities

• Positioning and design of photo-interrupter sensor to fluid detection
• Design digital chopping noise canceling Algorithm

• Languages

• Korean: native language
• English: intermediate (IH, OPIC)

• 클라우드 기반 복막투석 환자 비대면 모니터링 시스템 (Development of cloud-based remote monitoring system for peritoneal dialysis patients)
• 비접촉 / 비대면 지능형 인공호흡기 통합모니터링 및 제어시스템 개발 (Development of non-contact / non-face-to-face intelligent ventilator integrated monitoring and control system)
• 조산 고위험 산모의 자궁근전도를 이용한 자궁 수축 검출 알고리즘 개발 (Development of Uterine Contractions Recognition Algorithm based on Uterine Electrohysterogram)
• 신호처리가 적용된 수액 모니터링 시스템 (Development of fluid monitoring system with signal processing applied)