4 layers49.4 × 111.4 mm
Eeg hardware v1
es-ude/eeg-hardware
Repo of the Custom Hardware Design Files of the EEG-based Gaming Controller
412 partsMIT
4 layers90 × 140 mm
Eeg hardware v1
es-ude/eeg-hardwareRepo of the Custom Hardware Design Files of the EEG-based Gaming Controller
- Size
- 90 × 140 mm
- Copper layers
- 4
- Thickness
- 1.6 mm
- Parts
- 460
- Nets
- 295
- Pads
- 1,561
- Tracks, vias
- 2,446, 2,135
- Pours
- 38
- Routed
- Yes
- KiCad
- KiCad 8.0 (file 20240108)
- Created
- 17 Feb 2026
- Updated
- 12 May 2026
Overview
Eeg hardware v1 is an open-source printed circuit board by es-ude, from the es-ude/eeg-hardware repository on GitHub, published under the MIT licence. It is a 4-layer board of 90 × 140 mm with 460 parts on 295 nets, routed with 2,446 tracks and 2,135 vias.
It is built around the TPS82150SIL, AD8422AR and OPA1637DGK, with the AD7779ACPZ, SHT21 and TS12A12511DCN among its other parts. Its parts include 257 capacitors, 103 resistors, 54 ICs, 11 connectors and 6 switches. It belongs with the RP2040 boards of this library.
Main components
9
TPS82150SIL
3V to 17V Input 1A Step-Down Converter MicroSiP™ Module with Integrated InductorTexas InstrumentsUncategorised
AD8422AR
SOIC8High Performance, Low Power, Rail-to-Rail, Precision Instrumentation AmplifierAnalog DevicesUncategorised
OPA1637DGK
VSSOP-8-18V~-1.5V、1.5V~18V -40℃~+125℃ 0.0001% 1 Pair Differential Inputs 1-Channel 950uA Enable/shutdown function、ESD protection VSSOP-8 Audio Amplifiers ROHSTexas InstrumentsAudio Amplifiers
AD7779ACPZ
LFCSP-64-40℃~+105℃ 1.8V~3.6V 108dB 10ppm/℃ 16kHz 2.5V 24 4.096MHz、8.192MHz 4kHz、16kHz 8 Built-in Built-in Built-in SPI Sigma-Delta Support Yes LFCSP-64 Analog to Digital Converters (ADC) ROHSAnalog DevicesAnalog To Digital Converters (ADCs)
SHT21
6-DFN (3x3)Humidity 0 - 100% RH and Temperature -40°C to +125°C Sensor (Digital output, I²C Interface)SensirionUncategorised
TS12A12511DCN
SOT-23-8-40℃~+85℃ -6V~6V、2.7V~12V 1 2:1 41ns 5Ω 80ns 93MHz SOT-23-8 Analog Switches, Multiplexers ROHSTexas InstrumentsAnalog Switches, MultiplexersADR4525AR
SOIC82.5V Output, 1mV ±0.04% Accuracy, 4ppm/°C Ultralow Noise, High Accuracy Voltage ReferencesAnalog DevicesUncategorised
BMI270
LGA-14(2.5x3)-40℃~+85℃ 1.71V~3.6V 16bit 2KB 3.5uA Accelerometer Gyroscope SPI、I2C X,Y,Z X,Y,Z ±16g ±2000dps LGA-14(2.5x3) Accelerometers ROHSBosch SensortecAccelerometers
BAT54AW
SOT-323(SC-70)1 Pair Common Anode 1V@100mA 200mA 2uA@25V 30V SOT-323(SC-70) Schottky Diodes ROHSDiodes IncorporatedSchottky Diodes
README
README.md8-Channel EEG System
This repository contains the complete design and source files for a custom 8-Channel EEG System (Electroencephalography) based on the Raspberry Pi Pico (RP2350A) and the Analog Devices AD7779 24-bit ADC.
The project is modular and covers the entire signal chain: from physical schematics and microcontroller firmware to data acquisition and visualization on the PC.
Project Structure
The repository is organized into three main sections:
0_hardware/: KiCad projects for schematics and PCB layouts.1_firmware/: C source code to be flashed onto the hardware.2_pc_datahandler/: Python framework for control, data acquisition (LSL/HDF5), live plotting, and analysis.
0_Hardware
The hardware folder contains all electronic design files (KiCad).
Key Components:
- MCU: Custom desgin based on the RP2350A.
- ADC: AD7779 (8-Channel, 24-Bit Sigma-Delta ADC).
- Signal Conditioning: Variable gain settings via digital potentiometers (AD5142A).
- Modules: Separate schematics for power management, impedance measurement, sensor interfaces, and active shielding reference.
1_Firmware
The firmware runs on the RP2350A and handles SPI communication with the ADC, I2C communication with digital potentiometers, and high-speed data transfer to the PC via USB.
Features:
- Sampling Rate: Configurable sampling rate for the AD7779.
- Drivers: Implemented for AD7779 (SPI), AD5142A (I2C), and GPIO shielding control.
- Protocol: USB packet protocol with header/footer framing.
- Synchronization: Microsecond-precision timestamping for every data packet.
Build Instructions: Prerequisites: Pico SDK and CMake.
2_PC_DataHandler
This folder contains the Python-based host software to interface with the EEG hardware. It manages the USB connection, decodes the raw data stream, and integrates with the Lab Streaming Layer (LSL) ecosystem.
Features:
- Data Acquisition: Reading from the USB serial port.
- LSL Integration: Streams data as an 8-channel EEG signal onto the local network for use with tools like LabRecorder or our live plotter.
- Visualization: Real-time plotting of time-series data.
- Analysis: Signal quality verification.
This project uses uv for fast and reliable dependency management.
Create a virtual environment and sync dependencies:
bash uv sync
Parts
460| Qty | Value | Footprint | References |
|---|---|---|---|
| 97 | 100n | Capacitor_SMD:C_0603_1608Metric | C14, C102, C106, C109, C110, C112, C116, C118, C122, C127, C131, C134, C135, C137, C141, C143 +81 |
| 53 | 10µ | Capacitor_SMD:C_0603_1608Metric | C10, C15, C101, C107, C111, C115, C117, C121, C126, C132, C136, C140, C142, C146, C151, C157 +37 |
| 26 | 100k | Resistor_SMD:R_0603_1608Metric | R10, R16, R23, R24, R27, R28, R29, R30, R31, R34, R35, R121, R134, R135, R143, R145 +10 |
| 26 | 10R | Resistor_SMD:R_0603_1608Metric | R22, R26, R37, R39, R41, R42, R43, R44, R45, R49, R50, R101, R112, R116, R127, R131 +10 |
| 24 | 100p | Capacitor_SMD:C_0603_1608Metric | C23, C24, C25, C100, C123, C124, C125, C148, C149, C150, C173, C174, C175, C198, C199, C200 +8 |
| 16 | 100 | Resistor_SMD:R_0603_1608Metric | R17, R18, R32, R33, R47, R48, R62, R63, R77, R78, R92, R93, R107, R108, R122, R123 |
| 16 | 100µ | Capacitor_SMD:C_0603_1608Metric | C28, C30, C53, C55, C78, C80, C103, C105, C128, C130, C153, C155, C178, C180, C203, C205 |
| 16 | 10u | Capacitor_SMD:C_0603_1608Metric | C29, C33, C54, C58, C79, C83, C104, C108, C129, C133, C154, C158, C179, C183, C204, C208 |
| 16 | 15nF | Capacitor_SMD:C_0603_1608Metric | C38, C39, C63, C64, C88, C89, C113, C114, C138, C139, C163, C164, C188, C189, C213, C214 |
| 16 | 1n | Capacitor_SMD:C_0603_1608Metric | C19, C20, C44, C45, C69, C70, C94, C95, C119, C120, C144, C145, C169, C170, C194, C195 |
| 16 | 22k | custom_library:RESCAXE80P320X160X70-8N | RN1, RN2, RN3, RN4, RN5, RN6, RN7, RN8, RN9, RN10, RN11, RN12, RN13, RN14, RN15, RN16 |
| 16 | R | Resistor_SMD:R_0603_1608Metric | R21, R25, R36, R40, R51, R55, R66, R70, R81, R85, R96, R100, R111, R115, R126, R130 |
| 14 | 1µ | Capacitor_SMD:C_0603_1608Metric | C3, C6, C11, C12, C13, C220, C221, C222, C236, C238, C239, C240, C241, C242 |
| 9 | 1k | Resistor_SMD:R_0603_1608Metric | R1, R2, R3, R4, R12, R13, R14, R15, R19 |
| 9 | OPA145_SOT | Package_TO_SOT_SMD:SOT-23-5_HandSoldering | U4, U9, U14, U18, U22, U25, U29, U32, U44 |
| 9 | SMA-FEMALE-H | connectors:SMA_Samtec_SMA-J-P-H-ST-EM1_EdgeMount | J1, J3, J5, J7, J9, J11, J13, J15, J17 |
| 9 | TS12A12511 | Package_TO_SOT_SMD:SOT-23-8 | U46, U47, U48, U49, U50, U51, U52, U53, U54 |
| 8 | AD8422 | Package_SO:MSOP-8_3x3mm_P0.65mm | U6, U11, U16, U19, U23, U26, U30, U34 |
| 8 | OPA1637 | custom_library:VSSOP-8_3x3mm_P0.65mm | U5, U7, U10, U12, U15, U20, U27, U33 |
| 8 | OPA2205DGK | custom_library:VSSOP-8_3x3mm_P0.65mm | U8, U13, U17, U21, U24, U28, U31, U35 |
| 6 | TestPoint | TestPoint:TestPoint_Pad_1.5x1.5mm | TP1, TP2, TP3, TP4, TP5, TP7 |
| 4 | AD5142A | Package_CSP:LFCSP-16-1EP_3x3mm_P0.5mm_EP1.5x1.5mm | U38, U40, U41, U42 |
| 3 | 10k | Resistor_SMD:R_0603_1608Metric | R11, R59, R60 |
| 3 | 22µ | Capacitor_SMD:C_0805_2012Metric | C1, C2, C5 |
| 2 | 10n | Capacitor_SMD:C_0603_1608Metric | C4, C9 |
| 2 | 27k | Resistor_SMD:R_0603_1608Metric | R9, R20 |
| 2 | 4k7 | Resistor_SMD:R_0603_1608Metric | R132, R133 |
| 2 | 750R | Resistor_SMD:R_0603_1608Metric | R146, R147 |
| 2 | NetTie_2 | NetTie:NetTie-2_SMD_Pad2.0mm | NT1, NT2 |
| 2 | TPS82150 | custom_library:Texas_SIL0008D_MicroSiP-8-1EP_2.8x3mm_P0.65mm_EP1.1x1.9mm | U1, U3 |
| 1 | 0R1 | Resistor_SMD:R_0603_1608Metric | R65 |
| 1 | A | connectors:TACTILE-SWITCH | S7 |
| 1 | AD7779ACPZ | custom_library:LFCSP-64-1EP_9x9mm_P0.5mm_EP5.21x5.21mm_ThermalVias | U39 |
| 1 | ADR4525 | Package_SO:SOIC-8_3.9x4.9mm_P1.27mm | U45 |
| 1 | BAT54AW | Package_TO_SOT_SMD:SOT-323_SC-70 | D1 |
| 1 | BMI270 | sensors:XDCR_BMI270 | U37 |
| 1 | DOWN | connectors:TACTILE-SWITCH | S5 |
| 1 | FB_120Z_2A_0603 | Inductor_SMD:L_0603_1608Metric | FB3 |
| 1 | LED_IDLE | LED_SMD:LED_0603_1608Metric | D3 |
| 1 | LED_SAMP | LED_SMD:LED_0603_1608Metric | D4 |
| 1 | LEFT | connectors:TACTILE-SWITCH | S4 |
| 1 | LOGO | logos:logo_ude_5x5 | G*** |
| 1 | MCU_~{RST} | connectors:TACTILE-SWITCH | S1 |
| 1 | Micro_SD_Card | connectors:microSD_HC_Wuerth_693072010801 | J19 |
| 1 | PMOD | Connector_PinHeader_2.54mm:PinHeader_2x06_P2.54mm_Horizontal | U43 |
| 1 | RIGHT | connectors:TACTILE-SWITCH | S6 |
| 1 | RPi Pico W | mcu_pico_rp2040:RPi_PicoW | U36 |
| 1 | SHT21 | sensors:XDCR_SHT21 | U2 |
| 1 | UP | connectors:TACTILE-SWITCH | S3 |
| 1 | USB-C Receptable (6P) | connectors:USB_C_Receptacle_6P | J20 |
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Questions
How big is the Eeg hardware v1 PCB?
It measures 90 × 140 mm and has 4 copper layers, 1.6 mm thick.
What parts does the Eeg hardware v1 use?
460 parts, built around the TPS82150SIL, AD8422AR, OPA1637DGK and AD7779ACPZ. The full list of its parts is on this page, with links to each part's symbol and footprint where PCBKit's library has them.
Where can I download the Eeg hardware v1 KiCad files?
From the es-ude/eeg-hardware repository on GitHub, at the commit this page was made from: the board is 0_hardware/eeg_setup_v1/eeg_hardware_v1.kicad_pcb and its schematic 0_hardware/eeg_electrode/eeg_electrode.kicad_sch. PCBKit opens the board in the browser, with nothing to install.
Can I use the Eeg hardware v1 design in my own project?
Its repository publishes it under the MIT licence: you may reuse it on that licence's terms (keep the author's notice, and for a copyleft licence share your changes alike).