%0 Electronic Article %A Sergi Consul-Pacareu %A Ruhi Mahajan %A Mohammad J. Abu-Saude %A Bashir I. Morshed %K delta-sigma ADC %K low-power wireless module %K EEG analogue front end %K four-layer PCB %K modified high-Q active twin-T notch filter %K DRL-less AFE design %K EEG data collection %K gain 55.84 dB %K DRL circuit %K low-noise high CMRR instrument amplifier %K cyber physical systems %K time domain %K mid-rail biasing %K NeuroMonitor prototype %K on-board analysis %K electroencephalography %K two stage 2nd-order Chebyshev-I Sallen-key low-pass filter %K passive 2nd-order low-pass filter %K AFE %K data streaming %K battery %K band-pass filter %K programmable system-on-a-chip microcontroller %K bipolar montage %K driven right leg circuit %K frequency 125 Hz %K word length 16 bit %K PSoC microcontroller %K referential montage %K frequency 60 Hz %K analogue MUX %K Bluetooth %K low-power wireless wearable EEG device %K frequency domain %K microUSB port %K research-grade EEG system %K interactive brain computer interface %K 1st-order passive high-pass filter %K mutex dual-buffer %X Electroencephalography (EEG) is an effective tool to non-invasively capture brain responses. Traditional EEG analogue front end (AFE) requires a driven right leg (DRL) circuit that restricts the number of channels of the device. The authors are proposing a new ‘DRL-less’ AFE design, and have developed a wearable EEG device (NeuroMonitor), which is small, low-power, wireless, and battery operated. The EEG device with two independent channels was fabricated on an 11.35 cm2 PCB that contained a system-on-a-chip microcontroller, a low-noise instrument amplifier, a low-power Bluetooth module, a microSD, a microUSB, and a LiPo battery. The DRL circuit was eliminated by utilising the high CMRR instrument amplifier with differential inputs, and followed by a modified high-Q active Twin-T notch filter ((fc Notch = 60 Hz,  − 38 dB). The signal was conditioned with a band-pass filter composed of a two-stage 2nd-order Chebyshev-I Sallen-Key low-pass filter cascaded with a passive 2nd-order low-pass filter (fc LP = 125 Hz) and a 1st-order passive high-pass filter (fc HP = 0.5 Hz). Finally, the signal was amplified to achieve an overall gain of 55.84 dB, and digitised with a 16-bit delta-sigma ADC (256 sps). The prototype weighs 41.8 gm, and has been validated against a research-grade EEG system (Neuroscan). %@ 1751-858X %T NeuroMonitor: a low-power, wireless, wearable EEG device with DRL-less AFE %B IET Circuits, Devices & Systems %D September 2017 %V 11 %N 5 %P 471-477 %I Institution of Engineering and Technology %U https://digital-library.theiet.org/;jsessionid=bnrkf28tjrk.x-iet-live-01content/journals/10.1049/iet-cds.2016.0256 %G EN