1. COSC7388: Advanced Topics in Distributed Computing -- Mobile Computing in Smart Health and Well beings Rong Zheng Associate Professor@CS

2. Healthcare reality in US  25.8 million children and adults in the United States—8.3% of the population—have diabetes  0.26% of population 20 years of age or under  People 65+ represented 12.4% of the population in the year 2000 but are expected to grow to be 19% of the population by 2030 (Administration of Aging)  the United States spent $7,146 on health care per capita and 15.2% percentage of its GDP (WHO)  195,000 Americans die a year due to preventable errors (HealthGrades, 2004)  Life expectancy at birth in the USA, 78.49, is 50th in the world

3. Needs for better health delivery Overarching goal: Optimized care decisions by bringing all relevant evidence pertaining to the particular patient to the point of care anywhere and anytime and in user-appropriate forms for all members of the care team  Normalization and harmonization of electronic health records (HER)  Extraction and representation of data, information, and knowledge from diverse unstructured sources  Frequent and large-scale data collection and predictive modeling

4. Paradigm shifts Involvement and enabling of individuals to participate in their care  From reactive to preventive  From clinic-centric to patient-centric, and  From disease-centered to wellness centered

5. High penetration rate of mobile devices  64.7% of world population subscribe to mobile phone services in 2012 (wikipedia) 1 China 1,046,510,000 1,341,000,000 75.32 June 2012 2 India 934,094,206 1,211,929,872 76.99 June 2012 3 US 327,577,529 310,866,000 103.9 June 2011 4 Brazil 254,948,934 192,379,287 132.52 June 2012 5 Indonesia 250,100,000 237,556,363 105.28 May 2009 6 Russia 224,260,000 142,905,200 154.5 July 2011 7 Japan 121,246,700 127,628,095 95.1 June 2011 8 Pakistan 119,860,799 178,854,781 68.60 May 2012 9 Germany 107,000,000 81,882,342 130.1 2009 10 Nigeria 101,271,578 140,000,000 72.3 May 2012

6. (Mobile) networking technologies in healthcare Sensing  Ubiquitous health data collection  Continuous sensing of physiological information  Monitoring of dietary behavior and activities Diagnosis and care delivery  Access of information at point of care  Cloud-assisted modeling and assessment  Early detection  Social networks  Patient & physician support group  Epidemic disease detection and modeling In home care In-hospital care

7. Scope of the class  Science and engineering side  Wireless technologies  Sensing technologies  Mobile platform programming (Windows Mobile 7, Android)  Cloud  Software engr. practice  Medical side  Viewpoints from medical practitioners  Case studies

8. Course format  Lectures  Guest lectures  Survey presentation  Project discussion and presentation

9. Semester-long Project  Innovative idea needed  Preferably decease-oriented  Survey to understand the state of the art  Design of experiments early on  Processing and interpretation of data  Oral presentation and written report  Use of SVN for code maintenance

10. Tentative Schedule DateTopicLecturer 08/27IntroductionRong Zheng 09/03Labor day holiday 09/10Window Mobile 7 programming/cloudHuy Nguyen 09/17Wireless standards related to medical applicationsRong Zheng 09/24Sensor design for medical devicesLuca Pollonini 10/01Resource-efficient activity recognition and monitoringRong Zheng 10/08Android programmingKhuong Vu 10/15Survey presentation & project proposalStudents 10/22Social networking in healthcareRong Zheng 10/29Home monitoring and care for cardiovascular diseasesCliff Dacso 11/05Privacy and security issues in healthcareRong Zheng 11/12Safety and compatibility of RF enabled medical devicesDavid Nghiem 11/19Case study in assisted livingRong Zheng 11/26TBD 12/03Final project presentationStudents