TUES Year 3 Outcomes (08/01/2012-07/31/2013) (PI: Fei Hu)
   
Outcomes 1: Publications  

Fei Hu, "Tele-Healthcare Computing and Engineering: Principles and Design," Publisher: SCIENCE PUBLISHERS, CRC Press, Apr 2013. ISBN 9781578088027.

In this book, the PI has edited some of his course materials and some tele-healthcare experts' outcomes into one 700-page book. It can serve as students' class reference. It includes all the important tele-healthcare topics including medical signal processing, medical sensors, mobile health, medical security, and others.

Book Preface [PDF]

Sample chapter 1 [PDF]

Sample chapter 2 [PDF]

 
Outcomes 2: Tele-Healthcare Class Labs  
We have developed 6 labs and 1 project for a new offered course "ECE 493 - Telehealthcare Engineering" (offered in Fall 2013). The following are all lab materials (with solutions).  
Lab 1 - Medical Signal Extraction from PhysioNet  
Lab 1 - Requirements  
Lab 1 - Data Files  
Lab 1 - Sample solution  
Lab 2 - EKG Signal Communication System  
Lab 2 - Requirements  
Lab 2 - Given codes  
Lab 2 - Data File  
Lab 2 - Sample Solution  
Lab 3 - Wavelet for Medical Signal Processing (Part I)  
Lab 3 - Requirements  
Lab 3 - Given Codes  
Lab 3 - Lab 3 tutorial  
Lab 3 - Sample Solution  
Lab 4 - Wavelet for Medical Signal Processing (Part II)  
Lab 4 - Requirements  
Lab 4 - Given Codes  
Lab 4 - Lab 4 Tutorial  
Lab 4 - Sample solution  
Lab 5 - PCA for medical signal processing  
Lab 5 - Requirements  
Lab 5 - Data Set  
Lab 5 - Tutorial  
Lab 5 - Sample Lab Report  
Lab 5 - Solution Codes  
Project - Design PCB Board for EKG Sensor  
Project Tutorial  
PCBExpress Software Guide  
PCB Files  
   
Outcomes 3: Lecture Notes & Assignments  
   
Course Syllabus (ECE 493 - Telehealthcare Engineering)  
   
Assignments  
   
Exam # 1 (50 minutes)  
Exam # 2 (50 minutes)  
Final Exam  
Homework # 1 (Paper for HW 1)  
Homework # 2  
Homework # 3  
Homework # 4  
Homework # 5  
Quiz # 1  
Quiz # 2  
Quiz # 3  
Quiz # 4  
   
Lecture Notes  
   
Lecture 1: Course Introduction  
Lecture 2: Tele-Healthcare System Overview (hardware & software)  
Lecture 3: Class Project Tutorial  
Lecture 4: Medical Signal Processing - Big Picture  
Lecture 5: Mobile Health System Architecture  
Lecture 6: Case Study of mHealth (I)  
Lecture 7: Case Study of mHealth (II)  
Lecture 8: CodeBlue System (I)  
Lecture 9: CodeBlue System (II)  
Lecture 10: Tele-Healthcare Hardware Design  
Lecture 11: Medical Sensors  
Lecture 12: RFID  
Lecture 13: EKG Sensor Design  
Lecture 14: Class Project: EKG Design (I)  
Lecture 15: Class Project (II)  
Lecture 16: CodeBlue EKG  
Lecture 17: Medical Signal Processing: Principles  
Lecture 18: Wavelet Theory  
Lecture 19: Wavelet for Medical Signal Processing  
Lecture 20: Machine Learning Overview  
Lecture 21: Machine Learning: (I)  
Lecture 22: Machine Learning: (II)  
Lecture 23: Machine Learning for ECG Processing  
Lecture 24: PCA (Principle Component Analysis)  
Lecture 25: HMM (Hidden Markov Model)  
Lecture 26: SVM (Support Vector Machine)  
Lecture 27: SVM for ECG Processing  
Lecture 28: Medical Security (I)  
Lecture 29: Medical Security (II)  
Lecture 30: IMD (Implantable Medical Devices)  
Lecture 31: EEG Sensor Design  
Lecture 32: EEG Processing  
Lecture 33: EEG Circuit  
Other lecture hours are used for tests and student presentations