Description:
 
Background
A major obstacle in designing brain-computer interfaces is the unavailability of a neural implantable device that is μ-scale in size, wireless, self-powered, and long-lasting. Current state-of-the-art implantable devices have many limitations. 
Electromagnetic-based wireless devices are big in size due to their large antenna, which must be larger than one-tenth of the wavelength of the operational frequency. 
Furthermore, almost all state-of-the-art wireless devices use micro-electrodes for neuronal recording, which is not reliable in long-term monitoring due to direct contact between the tissue and metal electrodes. 
 
Technology Overview
This technology comprises a novel wireless and ultra-compact implantable device termed NanoNeuroRFID. At the core of this device is a magnetoelectric (ME) antenna array. ME antennas are smart and ultra-miniaturized (<200μm diameter), and can perform multiple tasks: 
1) They can harvest electromagnetic energy to power the NanoNeuroRFID system. Their limit of detection for RF magnetic fields is 40pT
2) They can sense quasi-static neuronal magnetic fields as small as 200pT without direct contact to the tissue, allowing a long lifetime and reliable neural recording
3) Can communicate with an external transceiver, and their operational frequency could be 10s to 100s of MHz where tissue loss is small
 
Benefits
- Can harvest EM energy and power the integrated circuits 
- Can contactlessly sense neural magnetic field 
- Can communicate with an external transceiver
- ME antennas are micro-scale in size and can operate in the 10s to 100s MHz frequency range
 
Applications
- Biomedical
- Real-time monitoring of brain signal, pH, temperature, strain, pressure, heart monitoring 
 
Opportunity
- License
- Partnering
- Research Collaboration
Patent Information:
Category(s):
Communications
For Information, Contact:
Mark Saulich
Associate Director of Commercialization
Northeastern University
m.saulich@northeastern.edu
Inventors:
Nian-Xiang Sun
Mohsen Zaeimbashi
Hwaider Lin
Keywords: