CMPSCI 691MB - S-MobileHlth:Sensg,Infr,Intvnt

Institution:

University of Massachusetts Amherst

Subject:

Description:

In recent years, the ability to continuously monitor activities, health, and lifestyles of individuals using sensor technologies has reached unprecedented levels. Wearable "on-body" sensors now enable routine and continuous monitoring of a host of physiological signals (e.g., heart rate, blood pressure, respiratory rate, blood glucose, etc.), physical activity (e.g. calorie expenditure), and sleep patterns (e.g. REM vs deep sleep). In addition, the typical smartphone comes routinely equipped with a plethora of sensors for monitoring both activity and location, enabling (in combination with other sensors) higher-order inferences about more complex human activities/behavioral states (e.g., stress, addiction, etc.). Such ubiquitous sensing in daily life, referred to as mobile health, promises to revolutionize our understanding of the varied social, environmental, and behavioral context (and potentially determinants) of a wide range of human activities and health conditions. This course is an exploration of challenges in mobile health including: a) practical considerations including energy-efficiency, interruptions, wearability, privacy, etc. b) inference of key health assessments from sensor data including stress, mood, eating behavior, sleep patterns, calorie intake and expenditure, mental health, etc. c) personalized health assessment by combining continuous mobile sensor data using a variety of on-body sensors (chestband, wristband, smartphone) d) novel interventions that can take advantage of these models to elicit changes in health behavior. Students from diverse research backgrounds/interests are encouraged to attend for more productive discussion. The course will consist of reading, presenting, and discussing papers, and working with on-body sensors and/or datasets as appropriate. We will also have guest lectures that you are expected to attend. Students taking the class for 3 credits will be expected to define and execute a semester-long research project. Those interested in doing hands-on projects will be given access to Google Nexus Prime smartphones, Zephyr Bioharness chestbands with EKG, respiration, skin conductance, and accelerometer sensors, and wristbands that can sense activity patterns. Students interested in data analytics will have access to several datasets.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.umass.edu

Phone Number:

(413) 545-0111

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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