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The RHS2116 has a standard four-wire serial peripheral interface (SPI) with low-voltage differential signaling (LVDS) I/O pins. The ZYNQ XC7Z010 is employed as the kernel chip to realize stable data receiving and buffering and multi-channel synchronized receiving, and finally, the Wi-Fi module transmits the data to the upper PC for display and data storage. The RHS2116 contains an array of 16 amplifier blocks, and each channel includes an AC-coupled high-gain amplifier for observing small EEG signals, as shown in Figure 5A. Block diagram of the designed helmet-EEG system. To realize high-speed data acquisition, we adopt direct memory access (DMA) mode between the ARM and FPGA.
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Figure 6A shows the waveforms of the collected signal after a low pass filter with a 50 Hz cutoff frequency was used, and Figure 6B shows the frequency domain spectral. The input signal is provided by a programmable function generator and then attenuated through a voltage-dividing resistor to obtain a microvolt signal. The EEG signal amplitude is generally in the range of 10–100 μV, and we first test the feasibility of the developed EEG recorder by a sinusoidal signal. Therefore, our proposed system’s multi-channel, high sampling rate, and high data transmission rate may guarantee success in acquiring various types of EEG signals.
The feasibility test indicates that the helmet-EEG recorder can capture the bioelectric signals during everyday activity without noticeable interference. It can be seen from the figure that when the air pressure reaches 5 kPa, the signal fluctuates wildly and is accompanied by interference. In this section, we inflate the helmet to 5 kPa, 20 kPa, and 40 kPa and collect the corresponding EEG signals from the forehead FP2 and the occipital region Oz. As the input signal was attenuated 10 times and then amplified by the RHS2116 with a gain of approximately 190, the amplitude of the collected signal is theoretically 19 times higher than the input signal. The slight top distortion of time domain signals may be caused by noise and external interference.
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It is worth noting that, in the present study, we investigated the performance of the multi-channel acquisition system via scalp EEG, while high-density implanted electrodes can also be connected to the circuit board to realize EEG acquisition. Table 1 displays the performance of the proposed system and existing wearable EEG recorders. The USB Wi-Fi driver is ported into the FPGA through the Linux system and configured as a network device named WLan0. The ZYNQ XC7Z010 integrates a dual-core ARM Cortex A9 processing system (PS) and FPGA programmable logic (PL) on one chip, the two are interconnected through high-throughput communication, and the PS controls the PL to collect signals. After the EEG signal passes through the ADC, the multi-channel digital signals are transferred to the FPFA chip in the ZYNQ XC7Z010 module through SPI.
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The inflatable airbag can be used to increase the contact force between the electrode and the scalp, and the contact impedance can be reduced by increasing the air pressure of the airbag. Yu et al. (2016) developed a portable 32-lead EEG acquisition system based on the inflatable helmet and dry electrode. However, the installation process of wet electrodes is complex, and the experimental preparation process is time-consuming. The wet electrode has the advantages of low impedance, high stability, and high signal-to-noise ratio (SNR), and it can provide a reliable EEG signal (Wang et al., 2021).
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Therefore, a crossing clock domain asynchronous FIFO is used to transfer data between the RHS2116 module and the ARM. The inflatable helmet-EEG recorder proposed in this study has the advantage of convenient preparation before the experiment, adjustable electrode-scalp contact pressure, and high comfort for the subject in chicken road 2 the test process. Bluetooth communication is adopted between the mobile communication terminal and the inflation control circuit board. A mobile APP was developed to monitor the air pressure inside the helmet, as shown in Figure 3D. When the airbag is inflated, it can press each electrode more firmly into the scalp, improving the contact between the electrode and the scalp.
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