Continuous human surveillance alone will be useful for elderly people to realize the highest standard of living in human society. However, it is difficult to get such a setting as long as it can operate long hours without maintenances of its battery limitation. Biosensor signals, which are referred to as a device that consumes a lot of power in the system of a Microcontroller Unit (MCU), must be made continuously to signal samples of the biosensor. To decrease the power utilization of the Microcontroller Unit, and a low power application specific integrated circuit for biosensors feature extraction is designed for the replacement of a role of the microcontroller unit to extract the characteristic values of bio signal. In this investigation, an Application-Specific Integrated Circuit (ASIC) of Wireless Body Sensor Networks (WBSNs) is intended to fill in as a convention for medical use. The proposed wireless body sensor network comprise an newly designed sensor interfaces, integrated passive Radio Frequency (RF) receiver, contact ports, low-power Microcontroller Unit (MCU), wireless transistor control, a Power Management Unit (PMU), and an with low power harvesting capacity contains. The proposed method has been designed using 90 nm and 45 nm CMOS technology. Simulation results exhibit up to the change in noise immunity and lessening in power utilization contrasted with the traditional wireless body sensor networks design at a similar delay.

仅持续的人类监视将对老年人实现人类社会的最高生活水平很有用。但是，只要能够在不维护电池限制的情况下长时间工作，就很难获得这样的设置。必须连续产生生物传感器信号，该信号被称为在微控制器单元（MCU）系统中消耗大量功率的设备，才能发出信号以发出生物传感器的样本。为了降低微控制器单元的功率利用，设计了用于生物传感器特征提取的低功率专用集成电路，以代替微控制器单元的作用以提取生物信号的特征值。在这项调查中 无线人体传感器网络（WBSN）的专用集成电路（ASIC）旨在作为医疗用途的惯例进行填写。拟议的无线人体传感器网络包括新设计的传感器接口，集成的无源射频（RF）接收器，接触端口，低功耗微控制器单元（MCU），无线晶体管控制，电源管理单元（PMU）和低功耗功率收集能力包含。建议的方法是使用90 nm和45 nm CMOS技术设计的。与传统的无线人体传感器网络设计相比，仿真结果显示出抗扰性的变化和功耗的降低，并且延迟相似。集成了无源射频（RF）接收器，触点端口，低功率微控制器单元（MCU），无线晶体管控制，电源管理单元（PMU）和低功率收集能力。建议的方法是使用90 nm和45 nm CMOS技术设计的。与传统的无线人体传感器网络设计相比，仿真结果显示出抗扰性的变化和功耗的降低，并且延迟相似。集成了无源射频（RF）接收器，触点端口，低功率微控制器单元（MCU），无线晶体管控制，电源管理单元（PMU）和低功率收集能力。建议的方法是使用90 nm和45 nm CMOS技术设计的。与传统的无线人体传感器网络设计相比，仿真结果显示出抗扰性的变化和功耗的降低，并且延迟相似。