Abstract:
In this paper an innovative prototype for smart asthma spirometry device to be used by doctors and asthma patients is presented. The novelty in this prototype relies in t...Show MoreMetadata
Abstract:
In this paper an innovative prototype for smart asthma spirometry device to be used by doctors and asthma patients is presented. The novelty in this prototype relies in the fact that it is destined to subtend not only adults but offers an efficient and attractive manner to accommodate children patients as well thus, making it efficient for doctors, patients and parents to detect and monitor such intricate cases at stages as early as six years old. Moreover, the apparatus used enables us to integrate a vital parameter representing the Forced Expiratory Volume to the final diagnosis. Besides, the presented device will automatically diagnose those patients, assess their asthma condition, and schedule their medication process without excessive visits to medical centers whilst providing doctors with accurate and pertinent and comprehensive medical data in a chronological fashion. Zooming into under the hood of the device, a fully reliable hardware digital system lies along with a flowmeter detector and a Bluetooth emitter to interface with a user-friendly GUI-based application installed on smartphones which incorporates appealing animated graphics to encourage children to take the test. Furthermore, the device offers the capability of storing chronological data and a relevant resourceful display for accurate tracking of patients' medical record, the evolvement of their asthma condition, and the administered medication. Finally, the entire device is aligned with the medical requirements as per doctors' and telemedicine specialists' recommendations; the experiments carried out demonstrated the effectiveness and sustainable use of such device.
Published in: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Date of Conference: 25-29 August 2015
Date Added to IEEE Xplore: 05 November 2015
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PubMed ID: 26736587