A Model for real-time remote monitoring of asthmatic patients

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dc.contributor.authorOduor, Thomas J.
dc.contributor.authorOrero, Joseph
dc.date.accessioned2017-07-21T12:45:31Z
dc.date.available2017-07-21T12:45:31Z
dc.date.issued2017
dc.descriptionThe conference aimed at supporting and stimulating active productive research set to strengthen the technical foundations of engineers and scientists in the continent, through developing strong technical foundations and skills, leading to new small to medium enterprises within the African sub-continent. It also seeked to encourage the emergence of functionally skilled technocrats within the continent.en_US
dc.description.abstractAsthma affects a large number of people in the world and it is the most common chronic illness of the lung among children. Monitoring and assessing the severity of a child’s asthma at home has proven difficult and costly in many low resource settings, like Kenya. This is due to lack of easy to use and cost effective in-home monitoring tools for children suffering from asthma. In this work, we present a user-friendly wearable device that allows in-home remote monitoring of asthmatic child and real-time determination of degree of asthma severity. The device captures simultaneous measurements of heart rate and oxygen saturation using a pulse oximeter sensor. These readings are then analyzed using clinical algorithm for asthma management, and the resulting severity level sent to both the parent of the child and the assigned clinician. The device was developed using Arduino Uno microcontroller, pulse oximeter sensor and Global System for Mobile Communication (GSM) module.en_US
dc.description.sponsorshipStrathmore University ; Institute of Electrical and Electronics Engineers (IEEE)en_US
dc.identifier.citationOduor, N., & Orero, J. (2017). A Model for real-time remote monitoring of asthmatic patients. In Pan African Conference on Science, Computing and Telecommunications (PACT). Nairobi: Strathmore University. Retrieved from https://su-plus.strathmore.eduen_US
dc.identifier.urihttp://hdl.handle.net/11071/5183
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectAsthmaen_US
dc.subjectClinical guidelinesen_US
dc.subjectArduino uno microcontrolleren_US
dc.subjectPulse oximeter sensoren_US
dc.subjectGSMen_US
dc.subjectInternet of Things.en_US
dc.titleA Model for real-time remote monitoring of asthmatic patientsen_US
dc.typeConference Paperen_US
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Pan African Conference on Science, Computing and Telecommunications (PACT) 2017