Design a ECG PPG measurement system

As a BME student, I definately need to get a deep understanding toward the measurement of ECG and SPO2. In this project, I made a ECG SPO2 measurement system using TI(Texas Instruments)’s LDO chips, analog-front ICs, MSP430 MCU and Bluetooth module. I learnt a lot about how to drawing complex PCBs, how to use complex ICs, how to manage electric power, and practiced on doing MCU programming. Other 2 people in our group was working on the smartphone APP and MCU programming. We do these stuff is for a National BME(Biomedical Engineering) Competition for College Students in ShenZhen, China. On Aug 28, 2018: We won the FIRST PRIZE in National BME(Biomedical Engineering) Competition for College Students in ShenZhen, China. Which is the HIGHEST AWARD.     Read more
Jingjie Li's avatar
Jingjie Li Sep 08, 2018

Build My Own REAL Bpod System

To train my own mouse and rats, I tried to build my own bpod system in my home university(XJTU), in Prof.Changhe’s lab. I build a real bpod system, based on Joshua Sander’s preliminary design (Bpod r-0.5). This stuff can actually be used for train the animals.     Read more
Jingjie Li's avatar
Jingjie Li Jul 08, 2018

My own B-Pod System using FPGA and MATLAB

Working with rodents in Jeffrey Erlich’s lab last summer, I found that rodent decision-making is so amazing. So, In the electronic design class in this semester, I tried to make a B-Pod system using FPGA and MATLAB by my own. However, I successful bulit up a trainning system, and tested on the real rodents. So I can use that to carry out my own rodent experiment in the future.     Read more
Jingjie Li's avatar
Jingjie Li Dec 08, 2017

Nature image identification and voxels activity modeling using fMRI encoding model

In may 2016. I tried to repeat a pioneering research published on NATURE (Kay et al., 2008) using a data-driven Voxel-Wise Model (Naselaris et al., 2011). I successfully constructed a liner receptive field model for every voxels using the Gabor wavelet filter according to the encoding theory of the primary visual cortex (Hubel and Wiesel, 1968). Without noise ceiling procedures, I also got remarkable accuracy in the identification task (about 48.8%, meanwhile the chance level is about 0.8%). My code is now open sccess on Github - Voxels-activity-modeling-using-fMRI-data.     Read more
Jingjie Li's avatar
Jingjie Li Jun 14, 2016

Visual Image Reconstruction using fMRI

Mind-reading is an exciting topic. Modern fMRI(functional magnetic resonance imaging) technique are making mind-reading coming true. Using fMRI combine with modern machine learning algrithoms(MVPA), we can now decode some infomation from people’s brain activities. I repeated some previous prominence research about that topic in Badong Chen’s lab, such like fMRI signal decoding from primary visual cortex (V1) and reconstructing pattern image from fMRI signal (Miyawaki et al., 2008). Moreover, I improved the accuracy of the reconstruction by ~ 4% (from about 80% to about 84%), using the improved MVPA method with SVM classifier (Norman et al., 2006).     Read more
Jingjie Li's avatar
Jingjie Li Mar 10, 2016