TY - GEN
T1 - AsthmaGuide
T2 - 2016 IEEE Wireless Health, WH 2016
AU - Ra, Ho Kyeong
AU - Salekin, Asif
AU - Yoon, Hee Jung
AU - Kim, Jeremy
AU - Nirjon, Shahriar
AU - Stone, David J.
AU - Kim, Sujeong
AU - Lee, Jong Myung
AU - Son, Sang Hyuk
AU - Stankovic, John A.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Recently, there has been an increased use of wireless sensor networks and embedded systems in the medical sector. Healthcare providers are now attempting to use these devices to monitor patients in a more accurate and automated way. This would permit healthcare providers to have up-todate patient information without physical interaction, allowing for more accurate diagnoses and better treatment. One group of patients that can greatly benefit from this kind of daily monitoring is asthma patients. Healthcare providers need daily information in order to understand the current risk factors for asthma patients and to provide appropriate advice. It is not only important to monitor patients' lung health, but also to monitor other physiological parameters, environmental factors, medication, and subjective feelings. We develop a smartphone, sensor rich, and cloud based asthma system called AsthmaGuide, in which a smartphone is used as a hub for collecting comprehensive information. The data, including data over time, is then displayed in a cloud web application for both patients and healthcare providers to view. AsthmaGuide also provides an advice and alarm infrastructure based on the collected data and parameters set by healthcare providers. With these components, AsthmaGuide provides a comprehensive ecosystem that allows patients to be involved in their own health and also allows doctors to provide more effective day-today care. Using real asthma patient wheezing sounds, we also develop two different types of classification approaches and show that one is 96% accurate, the second is 98.6% accurate and both outperform the state of art which is 87% accurate at automatically detecting wheezing. AsthmaGuide has both English and Korean language implementations.
AB - Recently, there has been an increased use of wireless sensor networks and embedded systems in the medical sector. Healthcare providers are now attempting to use these devices to monitor patients in a more accurate and automated way. This would permit healthcare providers to have up-todate patient information without physical interaction, allowing for more accurate diagnoses and better treatment. One group of patients that can greatly benefit from this kind of daily monitoring is asthma patients. Healthcare providers need daily information in order to understand the current risk factors for asthma patients and to provide appropriate advice. It is not only important to monitor patients' lung health, but also to monitor other physiological parameters, environmental factors, medication, and subjective feelings. We develop a smartphone, sensor rich, and cloud based asthma system called AsthmaGuide, in which a smartphone is used as a hub for collecting comprehensive information. The data, including data over time, is then displayed in a cloud web application for both patients and healthcare providers to view. AsthmaGuide also provides an advice and alarm infrastructure based on the collected data and parameters set by healthcare providers. With these components, AsthmaGuide provides a comprehensive ecosystem that allows patients to be involved in their own health and also allows doctors to provide more effective day-today care. Using real asthma patient wheezing sounds, we also develop two different types of classification approaches and show that one is 96% accurate, the second is 98.6% accurate and both outperform the state of art which is 87% accurate at automatically detecting wheezing. AsthmaGuide has both English and Korean language implementations.
UR - http://www.scopus.com/inward/record.url?scp=85007024946&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85007024946&partnerID=8YFLogxK
U2 - 10.1109/WH.2016.7764567
DO - 10.1109/WH.2016.7764567
M3 - Conference contribution
AN - SCOPUS:85007024946
T3 - 2016 IEEE Wireless Health, WH 2016
SP - 128
EP - 135
BT - 2016 IEEE Wireless Health, WH 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 October 2016 through 27 October 2016
ER -