Selected Topics Communications and Mobile Computing (Smart Health)
Current healthcare systems face numerous challenges such as large cost, lack of preventive care, massive increases in chronic disease conditions and age-related illnesses, widespread obesity, poor adherence to medical regimens, and shortage of healthcare professionals. Smart Health solutions utilize new sensing technologies, smart mobile devices, wireless networks, and big data analytics to provide significantly improved care to anyone, at anytime, and anywhere, while increasing the coverage, quality, and efficiency of healthcare. This course studies how mobile, wireless, sensing, cloud, and big data technologies can be used to implement this vision of future healthcare. Class discussions will touch topics such as prevention techniques, continuous health monitoring, wireless and mobile technologies and standards for medical devices, personalized healthcare solutions, body area networks, implantable devices, mHealth applications, intelligent emergency management systems, pervasive healthcare data access, personal and electronic medical record systems, mobile telemedicine, context-awareness, and case studies of pervasive solutions for various health conditions and challenges. The course will be based on recent publications in the fields of healthcare and engineering and each paper will be discussed in terms of the underlying healthcare problem, the technological foundations of the proposed solution or implementation, unresolved challenges, and open opportunities. Further, students will also choose a specific healthcare concern or technology and prepare a brief oral and written report.
Upon successful completion of this course, students will be able to:
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Understand the fundamentals of the basic building blocks of smart health solutions, such as sensors, mobile devices, edge and cloud computing technologies, data fusion, electronic health record systems, and medical analytics.
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Establish a connection between the needs of specific medical and wellness challenges and the opportunities provided by new technologies.
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Discuss current and future opportunities and challenges in smart health, including growing concerns in the areas of privacy, security, and ethics.
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Identify specific healthcare challenges and opportunities and effectively present their insights to others.
Logistics
Class Information
- Lecture Time
- Mondays 10am-12pm
- Location
- HS i4 (MDEG160G)
Instructor
- Instructor
- Christian Poellabauer (cpoellab@nd.edu)
- Office Hours
- TBD and by appointment
- Office Location
- TBD
Schedule
Requirements
Coursework
| Component | Points |
|---|---|
| Readings Weekly reading assignments. | 20% |
| Homework Written report. | 20% |
| Homework Oral presentation. | 20% |
| Exams Final Exam. | 30% |
| Participation Regular class attendation and contribution to course discussions. | 10% |
| Total | 100% |
Due Dates
Submission details for all deliverables are TBD. Unless specified otherwise, all readings are due before the class starts on the day it is assigned and all other deliverables are due by midnight of the date indicated in the schedule above.