Wireless Body Area Network – Sensor Interface, PI: A/P Lian Yong, NUS
A typical wireless body area network (WBAN) node includes one or more biomedical sensors, a signal conditioning unit, an analog-to-digital converter and a signal processing unit. Until now, there is no report on successful system-on-chip implementation of WBAN device. This project aims to develop a low power reconfigurable mixed signal processing unit. The main tasks include:
1. The development of low power signal conditioning unit which has a large input range, low noise performance at low operational frequency.
2. The development of reconfigurable signal processing unit. The reconfigurable is very important in lowering the power consumption as the unit deals with different types of biosensors. Ideally, the unit should be able to reconfigure its circuit blocks depending on the input signal in order to save power. Such reconfiguration takes place in both analog and digital domains.
3. The design of a low power high precision analog-to-digital converter (ADC). ECG and EEG signals normally require 12 to 24 bits resolution in multiple channels. Sigma-delta modulator based ADC is one of possible candidates to achieve such a high resolution at a reasonable power budget.
4. The design of computationally efficient decimation filter for the sigma-delta modulator.
About PI: