Body sensor network for mobile health monitoring, a diagnosis and anticipating system

dc.contributor.authorWannenburg, Johann
dc.contributor.authorMalekian, Reza
dc.contributor.emailreza.malekian@up.ac.zaen_ZA
dc.date.accessioned2016-02-12T12:12:51Z
dc.date.available2016-02-12T12:12:51Z
dc.date.issued2015-12
dc.description.abstractA system capable of mobile heath monitoring was designed and implemented from the first principles. The system is capable of measuring vital physiological parameters, interpret the measured signals, and provide a sense of monitoring and biofeedback to the user. In the case, a medical emergency is detected notifications are sent to a medical team for the analysis. The system was designed through the investigation of various biosignal extraction methods. An optical pulse oximeter sensor was designed along with the required software algorithms. The photoplethysmographic signals were extracted and used to calculate heart rate, saturation of oxygen, and pulse transits time. The pulse transit time was utilized in the estimation of continuous blood pressure measurement. The pulse oximetry implementation applies reflectance-based sensing on the user’s fingertip and palm. Skin temperature is also measurable through the use of a digital temperature sensor. The system is capable of providing feedback to the user by means of a smartphone application receiving data from the device through Bluetooth. The measurement of the proposed physiological parameters were successfully measured with the appropriate degree of accuracy required by medical standards. The system is capable of health monitoring through accurate measurements, providing the user with feedback and successfully identifying medical stress resulting in the sending of a notification to a medical doctor.en_ZA
dc.description.librarianhb2015en_ZA
dc.description.urihttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361en_ZA
dc.identifier.citationWannenburg, J & Malekian, R 2015, 'Body sensor network for mobile health monitoring, a diagnosis and anticipating system', IEEE Sensors Journal, vol. 15, no. 12, pp. 6839-6852.en_ZA
dc.identifier.issn1530-437X (print)
dc.identifier.issn1558-1748 (online)
dc.identifier.other10.1109/JSEN.2015.2464773
dc.identifier.urihttp://hdl.handle.net/2263/51353
dc.language.isoenen_ZA
dc.publisherInstitute of Electrical and Electronics Engineersen_ZA
dc.rights© 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.en_ZA
dc.subjectMobile health monitoringen_ZA
dc.subjectPhysiological parametersen_ZA
dc.subjectSpO2en_ZA
dc.subjectSaturation of oxygenen_ZA
dc.subjectHeart rateen_ZA
dc.subjectPhotoplethysmographyen_ZA
dc.subjectPPGen_ZA
dc.subjectBlood pressureen_ZA
dc.subjectPulse transit timeen_ZA
dc.subjectSkin temperatureen_ZA
dc.subjectBody sensor networken_ZA
dc.subjectPulse oximetryen_ZA
dc.subjectBluetoothen_ZA
dc.titleBody sensor network for mobile health monitoring, a diagnosis and anticipating systemen_ZA
dc.typePostprint Articleen_ZA

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