# @ninaphatak **Handle:** @ninaphatak ## Stats - **Projects:** 1 - **Components:** 0 - **Followers:** 0 - **Following:** 0 ## More - [Starred Projects](https://www.flux.ai/ninaphatak/starred.md) ## Projects (Page 1 of 1, 1 total) - [FlowState Headband EVT1](https://www.flux.ai/ninaphatak/flowstate-headband-evt1~09.md) - 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. ## Pages - Pages: **1** --- *Generated from [https://www.flux.ai/ninaphatak](https://www.flux.ai/ninaphatak)*