Hybrid EEG BCI for Pluto X v1.1 using ESP32-WROOM-32 and ADS1299-6PAG with LiPo charging, 5V boost, -5V analog rail, split 3.3V analog/digital regulators, six EEG channels, RC electrode protection, and 80x60mm mixed-signal PCB constraints.

Two-PCB low-noise EEG system: Digital board (ESP32-S3-MINI-1U + ADS1299 + CP2102N + USB-C + 1S Li-ion charger/power-path + DF40 mezzanine) and Analog board (3x ADS1299 + REF/BIAS/DRL + driven-shield electrode interfaces + local low-noise regulation + test points). DF40 mezzanine carries only power + digital SPI/control with shared SPI, shared START/RESET, and separate CS/DRDY per AFE. 4-layer stacks with strong analog/digital partitioning and interleaved GND pins on DF40.

Wearable 8-channel EEG/BCI acquisition board with ADS1299, STM32L152, ESP32 Wi-Fi/Bluetooth, LiPo charging, USB-UART, microSD logging, and 4-layer mixed-signal layout constraints.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

Welcome to your new project. Imagine what you can build here.

FlowState Headband EVT1 — 4-Channel EEG Calibration Device Closed-loop EEG neurofeedback headband for theta/beta baseline calibration. 4-layer mixed-signal PCB, 40x30mm. Core ICs: - ADS1299-4PAG (TI) — 4-channel 24-bit EEG analog front end, SPI interface, 250 SPS - nRF5340 (Nordic) — Dual-core BLE 5.3 SoC, 128 MHz app core + 64 MHz network core Key requirements: - Separate analog and digital power domains (dual LDO: LP5907 for AVDD, AP2112 for DVDD) - Split analog/digital ground planes with single-point connection - 6 electrode inputs (4 active + 1 reference + 1 DRL) with individual TVS ESD protection on each - LIS2DH12 accelerometer (I2C) for motion artifact detection - MCP73831 USB-C battery charging (300-500 mAh LiPo) - 2.4 GHz chip antenna or PCB trace antenna at board edge with 10mm keepout - Conformal coating for sweat/moisture protection Reference designs: - Analog front-end: TI ADS1299 EVM (SBAS499) - Digital/BLE: Nordic nRF5340 DK reference schematic Critical constraint: Microvolt-level EEG signals — analog input routing and power supply filtering are the highest-priority layout concerns.

Battery-isolated 16-channel medical-grade EEG front end using dual ADS1299 analog front-ends and an STM32F405 host with integrated WiFi and microSD (SDIO), featuring corrected isolation, and robust low-jitter clock distribution for dual ADS1299 #WiFi #microSD #Isolation #Clocking #ADS1299 #STM32

Biosensor Amp/Filter. We are going to use a TL074 to create an instrumentation Amp, Bandpass Filter, and incorporate Driven Right Leg technique. Our goal is to read EEG and EMG signals through connected electrodes.

Low-power USB-C 5V environmental sensor node with robust input protection, ESP32 Wi-Fi/BLE connectivity, digital temperature/humidity sensing, Bluetooth peripheral syncing, and EEG/PPG sensor interfaces for prototype biosignal acquisition.