Abstract
The increasing global focus on health protection issues draws attention to the importance of point-of-care (POC) technologies. Its ability to provide cost-effective solutions for health maintenance points out their importance. However, against the obvious benefits, POC does not provide any primary diagnosis at the patient side. So, this work aims at a primary diagnosis of cardiac diseases at patient side itself by detecting the electrocardiogram (ECG) abnormality. For perfect diagnosis, confidential data of patients are also required. However, transmission of this confidential data through public network may cause many security concerns. Also, wide privacy problems may occur as private data may be revealed to illicit servers. This paper uses support vector machine (SVM)-based technique for detecting abnormality in ECG signals. And Fast Walsh–Hadamard transform-based steganographic method is used for providing privacy, security and confidentiality of the transferred data.
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Akhila, N.S., Sabeena Beevi, K. (2020). Anomaly Detection and Safe Transmission of ECG Signals in Point-of-Care Systems. In: Jayakumari, J., Karagiannidis, G., Ma, M., Hossain, S. (eds) Advances in Communication Systems and Networks . Lecture Notes in Electrical Engineering, vol 656. Springer, Singapore. https://doi.org/10.1007/978-981-15-3992-3_66
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DOI: https://doi.org/10.1007/978-981-15-3992-3_66
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