Authors:
Chinazunwa Uwaoma
1
;
Gunjan Mansingh
2
;
William Pepper
1
;
Wenshi Lu
1
and
Siyu Xiang
1
Affiliations:
1
Center for Information Systems & Technology, Claremont Graduate University, 130 E 9th Street, Claremont, CA and U.S.A.
;
2
Department of Computing, The University of the West Indies, Mona, Kingston 7 and Jamaica
Keyword(s):
Physical Activity, Smartphone, Respiratory Health, Signal Magnitude Area, Ambient Conditions.
Related
Ontology
Subjects/Areas/Topics:
Aggregation, Classification and Tracking
;
Data Manipulation
;
Modeling, Algorithms, and Performance Evaluation
;
Sensor Networks
;
Sensor, Mesh and Ad Hoc Communications and Networks
;
Signal Processing
;
Statistical and Adaptive Signal Processing
;
Telecommunications
;
Wireless Information Networks and Systems
Abstract:
While physical activity has been described as a primary prevention against chronic diseases, strenuous physical exertion under adverse ambient conditions has also been reported as a major contributor to exacerbation of chronic respiratory conditions. Maintaining a balance by monitoring the type and the level of physical activities of affected individuals, could help in reducing the cost and burden of managing respiratory ailments. This paper explores the potentiality of motion sensors in Smartphones to estimate physical activity thresholds that could trigger symptoms of exercise-induced respiratory conditions (EiRCs). The focus is on the extraction of measurements from the embedded motion sensors to determine the activity level and the type of activity that is tolerable to individual’s respiratory health. The calculations are based on the correlation between Signal Magnitude Area (SMA) and Energy Expenditure (EE). We also consider the effect of changes in the ambient conditions – tem
perature and humidity, as contributing factors to respiratory distress during physical exercise. Real-time data collected from healthy individuals were used to demonstrate the potentiality of a mobile phone as tool to regulate the level of physical activities of individuals with EiRCs. We describe a practical situation where the experimental outcomes can be applied to promote good respiratory health.
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