Wireless Data Transceivers for Brain-Machine Interfaces
Student Contest:
No
Affiliation Type:
Academia
Keywords:
Brain-machine interface, wireless data transmission, implantable devices
Abstract:
By acquiring and transmitting the human brain's neural activities, brain-machine interface (BMI) technology enables direct communication between the brain and an external device. It has great potential to help individuals with disabilities due to neurological disorders, and patients who have limited mobility or communication abilities. However, current BMI systems are limited by the data rate and power consumption of wireless communication technologies. We present in this paper a comparative analysis of commonly adopted wireless data transmission technologies for BMI systems. The advantages and limitations of different technologies including Bluetooth, Zigbee, Wi-Fi, WMTC, MICS, and ultra-wideband (UWB) are identified, compared, and analyzed in a quantitative manner. Furthermore, solutions to build future wireless transmission technologies for high-throughput and low-power implantable BMIs are projected.
Track ID:
18.2
Track Name:
Next-Gen Wearables & Implants: Harnessing the Power of the Internet of Bodies (IoB)
