Difference between revisions of "Biomedical Circuits, Systems, and Applications"
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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 | + | 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. |
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Revision as of 13:27, 11 November 2020
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.
