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Chapter and Conference Paper
In-Node Adaptive Compressive Sensing Technique for EEG Signal in WBAN
Electroencephalography (EEG) signal is vital for the detection and analysis of brain-related disorders. Brain waves are non-sparse in either in time or many other transform domains. In this paper, the proposed...
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Article
Open AccessA novel signal-adaptive multi-feature extraction algorithm for arrhythmia detection
The significant features like an amplitude and intervals of electrocardiograph or P-QRS-T wave represent the functionality of the heart. Accurate extraction of these features helps in capturing characteristics...
