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Difference between revisions of "Biomedical Circuits, Systems, and Applications"

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multi-lead ExG advanced embedded analytics and classification capabilities within a power envelope of
 
multi-lead ExG advanced embedded analytics and classification capabilities within a power envelope of
 
a few mW.
 
a few mW.
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[[Category:Digital]]
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[[Category:Human Intranet]]
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[[Category:ASIC]]
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[[Category:FPGA]]
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[[Category:Semester Thesis]]
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[[Category:Master Thesis]]
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Revision as of 12:29, 11 November 2020

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Research on biomedical sensing systems and signal processing algorithms has been very prolific in recent years with a variety of solutions in a wide range of application scenarios, for example long-term monitoring of human vital signs for disease detection. Low-power consumption and energy efficiency are the key features of such systems starting from the sensor node for data acquisition, towards embedded systems for data handling, and accurate algorithms for data processing.