Myoelectrical Control of Multiple Channels Based on Single Muscle Contractions
Uses only one muscle to control multiple aspects of one or more devices
Computer interfaces Video game controls Educational equipment Interfaces for disabled individuals with assistive technologies such as wheelchairs and prosthetic limbs.
Myoelectric technology uses the electrical signals generated during muscle contractions to generate external control signals1,2. These measured signals are amplified and processed to generate a desired response in an external device(s). Current available methods describe a one-to-one relationship in which one muscle produces electrical signals to control a single target3-5. That is to say, current systems generate one control signal from each muscle, limiting the number of control signals available and necessitating many skin-mounted sensors on several superficial muscles6-8. Scientists at the University of California, Davis have developed a method to produce two or more control signals based on the electrical signals obtained from a sensor(s) mounted on the skin covering a single superficial muscle. Such signals can be used to control multiple aspects of one or more devices.
Patent Number: US8504146B2
Application Number: US2008163919A
Inventor: Joshi, Sanjay S. | Wexler, Anthony S. | Perez-Maldonado, Claudia
Priority Date: 29 Jun 2007
Priority Number: US8504146B2
Application Date: 27 Jun 2008
Publication Date: 6 Aug 2013
IPC Current: A61B000504 | G06F0003033 | G09G000500 | G09G000508
US Class: 600546 | 345156 | 345157 | 345158
Assignee Applicant: The Regents of the University of California
Title: Multi-channel myoelectrical control using single muscle
Usefulness: Multi-channel myoelectrical control using single muscle
Summary: Method for generating multi-channel myoelectrical control signals from an electromyographic (EMG) signal produced by an auricularis superior muscle, where the control signals are utilized to simultaneously control actuators and aspects of an object to control movement of an electric-power-wheelchair (EPW) to help patients, who experience difficulty using a regular joystick controller.
Novelty: Multi-channel myoelectrical control signals generating method for e.g. controlling movement of electric-power-wheelchair, involves processing electromyographic signal from auricularis superior muscle to generate independent control signals
Biomedical
Medical Device
8504146
Related Materials 1. Gordon, K. E. and Ferris, D. P. Proportional Myoelectric Control of a Virtual Object to Investigate Human Efferent Control. Exp. Brain. Res. 159:478-486. 2004. Related Technologies Additional Technologies by these Inventors Tech ID/UC Case 11250/2007-439-0 Related Cases 2007-439-0
2. Fimbel, E. J. Lemay, M. Arguin, M. Speed-Accuracy Trade-offs in Myocontrol. Human Movement Science 25. 165–180. 2006.
3. Chan, A and Englehart, K. B. Continuous Myoelectric Control for Powered Prostheses Using Hidden Markov Models. IEEE Transactions on Biomedical Engineering. 52(1):121-124. 2005.
4. Karlsson, S. et al. Time-Frequency Analysis of Myoelectric Signals During Dynamic Contractions: A Comparative Study. IEEE transactions on Biomedical Engineering. 47(2):228-238. 2000.
5. Zhou, P. Rymer, W. Z. Can standard surface EMG processing parameters be used to estimate motor unit global firing rate? Journal of Neural Engineering1:99-110. 2004.
6. Park, S H. and Lee, S P. EMG Pattern Recognition Based on Artificial Intelligence Techniques. IEEE Transactions on Rehabilitation Engineering. 6(4): 400-405. 1998.
7. Chin, C. et al. Hands-Free Human Computer Interaction Via an Electromyogram-Based Classification Algorithm. International ISA Biomedical Sciences Instrumentation Symposium. 2005; 41:31-6.
8. Huang, C.N. et al. Application of Facial Electromyography in Computer Mouse Access for People with Disabilities. Disability and Rehabilitation, 28(4): 231 – 237. 2006.
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