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