Title :
Towards real-time monitoring and detectime monitoring of asthma symptoms on resource-constraint mobile device
Author :
Uwaoma, Chinazunwa ; Mansingh, Gunjan
Author_Institution :
Dept. of Comput., Univ. of the West Indies, Kingston, Jamaica
Abstract :
In this paper, we present work in progress on application scenario where a smartphone is used to detect and quantitatively index early signs of asthma attack triggered by exercise. Here, the embedded microphone in the mobile phone records the user´s breath sound while motion sensors-accelerometer, gyroscope and digital compass provide measurements on the level or intensity of activity and posture changes. Our design and preliminary result show that using only built-in sensors in smartphones, mobile phones can sufficiently and reliably monitor health status of patients with long-term respiratory conditions such as asthma.
Keywords :
biomedical communication; diseases; medical computing; mobile communication; mobile computing; smart phones; asthma attack; asthma symptom detection; breath sound; digital compass; embedded microphone; gyroscope; mobile phone records; motion sensors accelerometer; real-time monitoring; resource constraint mobile device; smartphone; Algorithm design and analysis; Classification algorithms; Harmonic analysis; Mobile handsets; Monitoring; Sensor systems; asthma; detection; monitoring; respiratory sound; smartphone;
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-6389-8
DOI :
10.1109/CCNC.2015.7157945