Abstract
Most of the state-of-the-art research papers have discussed only common abnormality detection. This proposed work aims to diagnose congenital heart defect (CHD) in new-born babies. By monitoring different physiological parameters in neonates, CHD in neonates is detected in early stage. The designed WBAN environment is three-tier architecture. This three-tier architecture is comprised of entities as body sensor, hub, base station, and diagnosing server. Each of the processes is segregated in each tier such as data aggregation, authentication, channel selection, and classification. IEEE 802.15.6 standard is used in WBAN by which identification of the criticality and allocation of high priority will be done. Then, hub prefers the best channel to transmit the sensed reports without any packet loss. The sensed data reaches diagnosing server from the base station. Diagnosing server is responsible to classify the sensed data according to its severity (normal and critical). Early diagnosis of CHD in neonates using WBAN is not addressed in any of the previous works; so, this paper presents an efficient solution for diagnosing CHD.
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Sonal, Reddy, S.R.N., Kumar, D. (2019). DCHD-3T: Early Diagnosis of Congenital Heart Diseases in WBAN-Cloud Using Three-Tier Network Architecture—an Efficient Solution. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_47
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DOI: https://doi.org/10.1007/978-981-13-6772-4_47
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