This invention discloses a low-power FFT
chip for real-
time spectrum analysis of electroencephalogram (EEG) signals and its usage method. The
chip includes an analog front-end module, a digital
processing module, an interface and control module, and a low-
power management and
clock control module. The analog front-end module amplifies, filters, performs
power frequency notch filtering, and performs analog-to-
digital conversion on the input microvolt-level analog EEG signals. This invention integrates a low-
noise analog front-end, a dedicated digital
processing module, and a fine-grained
power management module into a
single chip, constructing a dual anti-interference link that combines analog and digital
processing. While ensuring
signal purity, the digital processing module accelerates real-
time processing speed, and the overall
power consumption is controlled through fully custom circuitry and
dynamic power management. This solves the three major problems of poor real-time performance, high
power consumption, and weak
noise immunity in general-purpose processor solutions for EEG
spectrum analysis, thus meeting the demanding requirements of wearable devices.