Measure 8 EEG channels with Shield PiEEG-8 and RaspberryPi
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Updated
Nov 4, 2026 - Python
Measure 8 EEG channels with Shield PiEEG-8 and RaspberryPi
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
One-line install for real-time biosignals: acquisition, processing, streaming, recording, visualization, and applications.
BioLAb in home to measure EEG, EMG, EKG, EOG, PPG
a device for EEG and ECG measuring based on ADS1299。 心电、眼电、脑电采集设备,生物医学工程创新设计竞赛作品
An open-source, low-cost, wireless EEG module for BCI research. Built with an ESP32-S3 and a TI ADS1299, it streams high quality biopotential measurements (EMG, ECG, EEG) via BLE to the Lab Streaming Layer (LSL). Includes complete hardware, firmware, and Python host software.
End-to-end motor imagery BCI: custom ADS1299+STM32 acquisition board → PsychoPy+LSL recording → PyTorch training (transfer learning from BCI IV-2b) → real-time CPU inference (~40ms)
Open-hardware 32-channel EEG/BCI acquisition board — quad TI ADS1299 AFE + ARM Cortex-M3 (ATSAM3U4EA-AU), Altium source, 2015. ARM sibling to Adam-EEG.
Open-hardware 32-channel EEG/BCI acquisition board — quad TI ADS1299 AFE + dual ATmega328, SPI daisy-chain, standalone microSD logging. EAGLE 6.6 source, Apache-2.0.
Linux IIO driver for the TI ADS1299, ADS1299-6 and ADS1299-4 biopotential (EEG) ADCs. Derived from mainline's ti-ads1298 and being prepared for upstream submission. Includes out-of-tree build, devicetree binding and sysfs ABI documentation.
An 8 channel EEG lab on a Raspberry Pi with the PiEEG-8: setup guide, true scale figures, live streaming, recording and NWB conversion.
32-channel ADS1299/nRF52832 acquisition board design in KiCad, with schematics, PCB layout, BOM, and pre-fabrication documentation. Bench tests pending.
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