NDLI: A Regularization Approach for Identifying Cumulative Lagged Effects in Smart Health Applications

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A Regularization Approach for Identifying Cumulative Lagged Effects in Smart Health Applications

Content Provider	ACM Digital Library
Author	Ram, Sudha Goebel, Nicole Heerwagen, Judith Srinivasan, Karthik Currim, Faiz Andrews, Scott Kampschroer, Kevin Herzl, Reuben Lee, Hyo-Ki Mehl, Matthias R. Sternberg, Esther Najafi, Bijan Herzl, Davida Razjouyan, Javad Lindberg, Casey Skeath, Perry Canada, Kelli Gilligan, Brian Lunden, Melissa
Abstract	Recent development of wearable sensor technologies have made it possible to capture concurrent data streams for ambient environment and instantaneous physiological stress response at a fine granularity. Characterizing the delay in physiological stress response time to each environment stimulus is as important as capturing the magnitude of the effect. In this paper, we discuss and evaluate a new regularization-based statistical method to determine the ideal lagged effect of five environmental factors-carbon dioxide, temperature, relative humidity, atmospheric pressure and noise levels on instantaneous stress response. Using this method, we infer that the first four environment variables have a cumulative lagged effect, of approximately 60 minutes, on stress response whereas noise level has an instantaneous effect on stress response. The proposed transformations to inputs result in models with better fit and predictive performance. This study not only informs the field of environment-wellbeing research about the cumulative lagged effects of the specified environmental factors, but also proposes a new method for determining optimal feature transformation in similar smart health studies.
Starting Page	99
Ending Page	103
Page Count	5
File Format	PDF
ISBN	9781450352499
DOI	10.1145/3079452.3079503
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-07-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Indoor environment quality Cumulative lag Smart health Environment-wellbeing studies Heart rate variability
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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