Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/6399
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dc.contributor.authorT. Manikandan-
dc.contributor.authorA. Sivashankaran-
dc.date.accessioned2024-02-27T05:57:10Z-
dc.date.available2024-02-27T05:57:10Z-
dc.date.issued2014-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/6399-
dc.description.abstractAsthma is a disease that affects over 300 million people worldwide and is disproportionately observed in the developing world where air pollution Is sometimes more prevalent { 1 ]. This disease can range in severity, causing the airways of the lungs to constrict and inflame, and the therapies con completely and permanently ameliorate the disease's effects on the respiratory system. One effective way to track the asthma symptoms Is to monitor a patient's Peak Expiratory Flow [PEF). There are presently many different handheld PEF monitors commercially oval/able, and these suffer from a variety of different limitations. Many current PEF meters ore inaccurate, inconvenient to use, bulky, expensive, and rarely include real-time data plotting capabilities. The authors hove created a user- friendly, accurate, and moderately inexpensive external mobile device accessory that records and stores the user's PEF, and graphs this data over time. They also hove created a custom software Interface to send this stored data electronically.-
dc.publisherJournal on Computer Science-
dc.titleLung Function Assessment for Asthma Treatment By Interfacing of Sensors with Android App-
dc.volVol. 1-
dc.issuedNo. 4-
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