A Software-Defined Radio for Wireless Brain Implants Network
| Autor: | Vincent W. Leung, Arto V. Nurmikko, Jihun Lee, Mustafa Lokhandwala, Haili Cai, Chester Kilfoyle, Lawrence E. Larson, Farah Laiwalla, Joey Zhu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Universal Software Radio Peripheral Network packet business.industry Interface (computing) 020208 electrical & electronic engineering 020206 networking & telecommunications 02 engineering and technology Software-defined radio 0202 electrical engineering electronic engineering information engineering Wireless Wireless power transfer Radio frequency Antenna (radio) business Computer hardware |
| Zdroj: | MobiCom |
| DOI: | 10.1145/3241539.3267727 |
| Popis: | A novel Brain-Machine Interface (BMI) system based on a distributed network of implantable wireless sensors was proposed. Small CMOS "Neurograin" chips (0.5x0.5 mm2) with on-chip antenna are designed to harvest near-field RF energy at ~1 GHz, and backscatter 10 Mbps BPSK modulated data asynchronously and periodically. A "Skinpatch" software-defined radio (SDR) receiver is realized on a commercial USRP running GNU Radio programs. It down-converts the reflected waves from the Neurograins and performs data recovery. In this BMI prototype demonstration, 32 Neurograins will be wirelessly powered, while a Skinpatch USRP will recover their backscattered packets in real-time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|