Abstract
In this study, a fully integrated electroencephalogram/functional near-infrared spectroscopy (EEG/fNIRS) brain monitoring system was designed to fulfill the demand for a miniaturized, light-weight, low-power-consumption, and low-cost brain monitoring system as a potential tool with which to screen for brain diseases. The system is based on the ADS1298IPAG Analog Front-End (AFE) and can simultaneously acquire two-channel EEG signals with a sampling rate of 250 SPS and six-channel fNIRS signals with a sampling rate of 8 SPS. AFE is controlled by Teensy 3.2 and powered by a lithium polymer battery connected to two protection circuits and regulators. The acquired EEG and fNIRS signals are monitored and stored using a Graphical User Interface (GUI). The system was evaluated by implementing several tests to verify its ability to simultaneously acquire EEG and fNIRS signals. The implemented system can acquire EEG and fNIRS signals with a CMRR of −115 dB, power consumption of 0.75 mW/ch, system weight of 70.5 g, probe weight of 3.1 g, and a total cost of USD 130. The results proved that this system can be qualified as a low-cost, light-weight, low-power-consumption, and fully integrated EEG/fNIRS brain monitoring system.
Highlights
There has been a noticeable improvement in the quality of life, which has led to an increase in aging among world populations [1]
A huge number of functional brain signals are required for the better detection of these diseases; these can be recorded using many tools such as electroencephalography (EEG), functional near-infrared spectroscopy, and functional magnetic resonance imaging
The proposed system is based on Analog Front-End (AFE), which consists channels; five of these are used to acquire the functional near-infrared spectroscopy (fNIRS) signal and the remainder are used to of eight channels; five of these are used to acquire the fNIRS
Summary
There has been a noticeable improvement in the quality of life, which has led to an increase in aging among world populations [1]. In 1990, the average lifespan was 65.6 years, but later this became a serious problem as the average lifespan of 73 years was reached in 2017 [2]. This problem became worse due to the increase in people aging with poor health, and the World Health Organization reported that the percentage of diseased older people will keep increasing with time [3]. A huge number of functional brain signals are required for the better detection of these diseases; these can be recorded using many tools such as electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI). Multimodal systems that are capable of acquiring and analyzing two or more brain signals are used to provide a comprehensive picture of brain function
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