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- Title
Monitoring of Epileptical Patients Using Cloud-Enabled Health-IoT System.
- Authors
Gupta, Akash Kumar; Chakraborty, Chinmay; Gupta, Bharat
- Abstract
The health Internet of Things (IoT) lays the basis for emergency care for epileptic patients. The security of data transmission in the network calls for a robust monitoring technique. This paper proposes a monitoring model for epileptic patients, using a cloud-based health IoT system. To ensure the data security, watermarking was carried out through discrete wavelet transform-singular value decomposition (DWT-SVD), followed by short time Fourier transform (STFT). The proposed watermarking scheme, which is based on STFT and DWTSVD, was verified on electroencephalography (EEG) data of class Z and class S. The results show that our scheme achieved a good watermarking performance, with a peak signal-to-noise ratio (PSNR) of 35.25 and a signal-to-noise ratio (SNR) of 31.32.
- Subjects
PATIENT monitoring; DATA transmission systems; SIGNAL-to-noise ratio; DATA security; PATIENT monitoring equipment; INTERNET of things
- Publication
Traitement du Signal, 2019, Vol 36, Issue 5, p425
- ISSN
0765-0019
- Publication type
Article
- DOI
10.18280/ts.360507