With the wide usage of long-term health care, research on wireless sensing system tends to
focus on low power consumption. In this paper, a low-power and high-quality adaptive fuzzy resolution
control system is created for wireless body sensor networks. The sampling clocks of analog-to-digital
converters (ADCs) can be adaptively selected by an adaptive fuzzy resolution controller. The resolution
of the detected signals can be adaptively changed according to the immediate feature of the signals. Users
can set the regions of two condition-windows to create four adaptive conditions for the resolution control.
The adaptive fuzzy resolution controller can produce control signals to select an appropriate sampling rate
for the ADC with a fuzzy decision technique. The proposed adaptive fuzzy resolution controller was realized
by VLSI implementation. It can operate at 100 MHz with only 539 gate counts, and its core area is 7124 m2,
synthesized using a 0.18-m CMOS process. Compared with the previous work, the work presented in this
paper achieved a reduction of 33.3% core area and an improved peak signal-to-noise ratio of 15.47 dB under
an abnormal situation in a wireless ECG health care monitoring application.