Smart sensors, which are created by combining sensing materials with integrated circuitry are being considered for several biomedical application such as a glucose level ,temperature ,Ecg ,etc. Practical usability of the majority of current wearable body sensor systems for multiple parameter physiological signal acquisition is limited by the multiple physical connections between sensors and the data-acquisition modules. In order to improve the user comfort and enable the use of these types of systems on active mobile subjects, a wireless body sensor system that incorporates multiple sensors on a single node is proposed [10]. The system must be suitable for longer-term monitoring of the subjects, such as continuous wear and autonomous operation up to several days without replacement of the power source. Thus power consumption is a major challenge in these applications. The sensing and read-out of the signals may draw a significant part of the power budget in today’s sensor nodes in WBAN, especially when the number of signals or channels is increasing. Thus, reducing the power required for signal extraction is an important challenge. Many system-on-chip (SoC) solutions have been presented for multiparameter sensor systems, but these do not offer application engineers the freedom of tailoring modules in their system to suit their specific application.

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