Accelerated sparsity based reconstruction of compressively sensed multichannel EEG signals

Wearable electronics capable of recording and transmitting biosignals can provide convenient and pervasive health monitoring. A typical EEG recording produces large amount of data. Conventional compression methods cannot compress date below Nyquist rate, thus resulting in large amount of data even a...

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Veröffentlicht in:	PloS one 2020-01, Vol.15 (1), p.e0225397-e0225397, Article 0225397
Hauptverfasser:	Tayyib, Muhammad, Amir, Muhammad, Javed, Umer, Akram, M. Waseem, Yousufi, Mussyab, Qureshi, Ijaz M., Abdullah, Suheel, Ullah, Hayat
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Bayes Theorem Bayesian analysis Biology and Life Sciences Compression Computer and Information Sciences Computer simulation Convulsions & seizures Data compression Dictionaries EEG Electroencephalography Electroencephalography - methods Engineering Engineering and Technology Field programmable gate arrays Fourier transforms Health Humans Image Processing, Computer-Assisted Machine learning Medicine and Health Sciences Methods Monitoring, Physiologic Multichannel communication Multidisciplinary Sciences Noise Physical Sciences Reconstruction Recording Research and Analysis Methods Science & Technology Science & Technology - Other Topics Signal Processing, Computer-Assisted Sparsity Time compression Wearable Electronic Devices - trends
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