| Literature DB >> 25821861 |
Mahbubur Rahman1, Rummana Bari2, Amin Ahsan Ali3, Moushumi Sharmin4, Andrew Raij5, Karen Hovsepian6, Syed Monowar Hossain, Emre Ertin, Ashley Kennedy, David H Epstein, Kenzie L Preston, Michelle Jobes, J Gayle Beck, Satish Kedia, Kenneth D Ward, Mustafa al'Absi, Santosh Kumar.
Abstract
Stress can lead to headaches and fatigue, precipitate addictive behaviors (e.g., smoking, alcohol and drug use), and lead to cardiovascular diseases and cancer. Continuous assessment of stress from sensors can be used for timely delivery of a variety of interventions to reduce or avoid stress. We investigate the feasibility of continuous stress measurement via two field studies using wireless physiological sensors - a four-week study with illicit drug users (n = 40), and a one-week study with daily smokers and social drinkers (n = 30). We find that 11+ hours/day of usable data can be obtained in a 4-week study. Significant learning effect is observed after the first week and data yield is seen to be increasing over time even in the fourth week. We propose a framework to analyze sensor data yield and find that losses in wireless channel is negligible; the main hurdle in further improving data yield is the attachment constraint. We show the feasibility of measuring stress minutes preceding events of interest and observe the sensor-derived stress to be rising prior to self-reported stress and smoking events.Entities:
Keywords: Mobile Health; Stress; Wireless Physiological Sensor
Year: 2014 PMID: 25821861 PMCID: PMC4374173 DOI: 10.1145/2649387.2649433
Source DB: PubMed Journal: ACM BCB