The Office of Technology Licensing was established in 1970 to transfer technologies developed at Stanford. Find out more about OTL's history, mission, staff, and statistics.

Login to TechFinder » 

A brain machine Interface utilizing an HMM state detector


Stanford Reference:

12-284


Abstract


Stanford researchers improve brain machine interface's versatility, speed, and accuracy to previously unreported levels. The novel algorithm uses a continuous decoder and a discrete hidden markov model (HMM) state detector. The system can infer many states such as a click state, an idle/go/stop state or a state that manipulates a decoder's parameters or velocity. Additionally, the system can optimally tune the decoder's parameters, e.g., its states and transition probabilities, to better suit the subject. This invention is a promising alternative to hold-time based decoders.


Technology developed by Stanford researchers directly reads brain signals to drive a cursor moving over a keyboard.



Figure: More complex state models are possible, with different states. For example, we have also decoded an "idle" state, a "move slow" state, and a "move fast" state. These are useful, e.g. when decoding that the subject is idling, and does not want to do the task, we can effectively "turn off" the task.

Stage of Research
-Successful closed-loop implementation in 2 live subjects
- Throughput performance increases of up to 50% in monkeys
- Translation to human participant, demonstrated useful performance benefit, pending publication

Applications


  • Brain Machine Interface aka Brain Computer Interface

Advantages


  • Improves versatility, speed, and accuracy

Publications



Related Web Links



Innovators & Portfolio



Patent Status



Date Released

 7/9/2015
 

Licensing Contact


Linda Chao, Senior Associate
(650) 725-9408 (Direct)
Login to Request Information

[-] Map/Timeline

96-113 Semiconductor Light Emitting Devices for Phototherapy of Jaundiced Newborns or Circadian Rhythm Disorders
97-217 Workstation Ergonomics Training Program
98-025 MRI - A Bipolar Magnet Configuration

more technologies

Related Keywords


medical devices: prosthetics/rehabilitation   brain computer interface   neural prosthetics   paralysis   neuro monitoring   neuroscience   software interface   neurogaming   12-284   algorithm   computational algorithm   healthcare   BMI   medical devices   Neural Networks   
 

   

  

Also of Interest...
96-113 Semiconductor Light Emitting Devices for Phototherapy of Jaundiced Newborns or Circadian Rhythm Disorders
97-217 Workstation Ergonomics Training Program
98-025 MRI - A Bipolar Magnet Configuration

Recently Viewed...
S12-284 A brain machine Interface utilizing an HMM state detector