BI450

Data Acquisition and Signal Processing in Biomedical Applications

Introduction

This course is aimed to implement proof of concept of data acquisition (DAQ) and signal processing in biomedical applications (i.e., heart rate measurement and electromyography).

Prerequisite

• Computer programming
• Microsystem or Embedded system
• Sensor
• Signal processing

Tools

• Hardwares
  • USB-4704
    • DAQNavi
    • DAQNavi Driver for USB-4704
  • ELVIS II+
• Softwares
  • Git
  • GitHub Desktop
  • Qt
  • LabVIEW
  • Matlab
  • Keil uVersion
  • etc

FAQ

Q: How can I use the USB-4704?
A: Firstly, install DAQNavi and its driver for USB-4704. Secondly, plug the USB cable into the computer. Thirdly, start the DAQNavigator in the computer and test USB-4704.
Q: How can I use the Analog Discovery?
A: Install the WaveForms in the computer, and then start it.
Q: What is the main difference between Instant AI and Buffered AI?
A: Sample rate of Buffered AI is much higher than that of Instant AI.
Q: How to release your application in MATLAB?
A: You can find it here
Q: How can we upload the video?
A: Please upload the video to Youku using user(sjtucourse) and password(sjtubme_2020).

课件

• 第零讲
• 第一讲

项目

• 项目零
• 项目一
• 项目二
• 项目三
• 最终项目

通知

所有纸质报告提交的截止日期是17周周二(2020年12月29日)

Previous Showcase

• YING Chunwei (2015)

Contact

• Email [email protected]
• 徐汇校区Med-X研究院228