Signal processing system-on-chip design for biomedical applications

Author:

Ma Song12,Li Liubin1,Wang Guan12,Cheng Yuhua12

Affiliation:

1. Shanghai Research Institute of Microelectronics (SHRIME), Peking University

2. School of Electronics Engineering and Computer Science, Peking University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Reference10 articles.

1. [1] C. P. Antonopoulos and N. S. Voros: “Resource efficient data compression algorithms for demanding, WSN based biomedical applications,” J. Biomed. Inform. 59 (2016) 1 (DOI: 10.1016/j.jbi.2015.10.015).

2. [2] A. Bendifallahet al.: “Improved ECG compression method using discrete cosine transform,” Electron. Lett. 47 (2011) 87 (DOI: 10.1049/el.2010.3191).

3. [3] R. A. Croce, et al.: “Low-power signal processing methodologies for implantable bio-sensing platforms,” Signal Processing in Medicine and Biology Symposium IEEE (2014) 1 (DOI: 10.1109/SPMB.2013.6736771).

4. [4] M. Zaareet al.: “A new non-uniform adaptive-sampling successive approximation ADC for biomedical sparse signals,” Analog Integr. Circuits Signal Process. 74 (2013) 317 (DOI: 10.1007/s10470-012-9984-7).

5. [5] H. Sepehrian, et al.: “A signal-specific successive-approximation analog-to-digital converter,” Proc. IEEE International Symposium on Circuits and Systems 19 (2011) 1624 (DOI: 10.1109/ISCAS.2011.5937890).

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