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Neural Computation, Neural Devices, and Neural Prosthesis
20141. Electromagnetic Effects of Wireless Transmission for Neural Implants.- 2. Energy-Efficient Digital Processing for Neural Action Potentials.- 3. Doppler Radar Noncontact Vital Sign Monitoring.- 4. From Auditory and Visual to Immersive Neurofeedback Application to Diagnosis of Alzheimer's Disease.- 5.
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Neural Control of a Virtual Prosthesis
1998The abilities of the currently existing hand prostheses are typically limited to opening or closing the hand. This limits the usefulness of the prosthesis considerably compared to the many degrees of freedom in an intact hand. In order to develop more advanced hand prostheses two main problems have to be solved.
Lars Eriksson +2 more
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1988
During and soon after World War I, German neurosurgeons discovered that if a point on the cerebral cortex near the posterior pole of either cerebral hemisphere was stimulated electrically during an intracranial Operation done under local anesthesia, the patient reported seeing a spot of light.
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During and soon after World War I, German neurosurgeons discovered that if a point on the cerebral cortex near the posterior pole of either cerebral hemisphere was stimulated electrically during an intracranial Operation done under local anesthesia, the patient reported seeing a spot of light.
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Neural waveform detector for prosthesis control
Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 2002Detection of neural action potentials is an essential phase in the analysis of extracellular recordings and it may contribute to the control of prosthetic systems. A fully automated algorithm for on-line detection or neural waveforms is presented and a hardware implementation for 8-channel, real-time operation is described.
I.N. Bankman, S.J. Janselewitz
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Invasive neural prosthesis for neural signal detection and nerve stimulation
International Journal of Adaptive Control and Signal Processing, 2004AbstractThis paper specifically examines the implantation of a microelectrode array into the median nerve of the left arm of a healthy male volunteer. The objective was to establish a bi‐directional link between the human nervous system and a computer, via a unique interface module. This is the first time that such a device has been used with a healthy
Gasson, Mark +4 more
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Proprioception from a neurally controlled lower-extremity prosthesis
Science Translational Medicine, 2018An agonist-antagonist myoneural interface in a subject with a transtibial amputation improves prosthetic control.
Tyler R. Clites +7 more
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Neural network classification of myoelectric signal for prosthesis control
Journal of Electromyography and Kinesiology, 1991An alternate approach to deriving control for multidegree of freedom prosthetic arms is considered. By analyzing a single-channel myoelectric signal (MES), we can extract information that can be used to identify different contraction patterns in the upper arm.
M F, Kelly, P A, Parker, R N, Scott
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Next generation neural interfaces for neural modulation and prosthesis
2020New technologies have emerged in recent years to treat various neurological disorders via electrical neuromodulation or replace a lost function via neural prosthesis. For example, deep brain stimulation has provided therapy to patients with Parkinson?s disease, epilepsy, severe depression, and dystonia.
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Neural stimulators for retinal prosthesis embedded with CMOS microchips
2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS), 2016A retinal prosthesis is one of the candidate technologies to help blind patients regain their vision. Electrical stimulation of the retinal cells evokes a visual sensation such as phosphene. We have proposed retinal stimulators using a smart electrode embedded with CMOS microchips.
Toshihiko Noda +4 more
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The cellular neural network as a retinal camera for visual prosthesis
Proceedings of International Conference on Neural Networks (ICNN'97), 2002A retinal camera-on-a-chip is proposed. The chip is used for two purposes: 1) it provides a computationally powerful camera to drive a visual prosthetic; and 2) it serves as a "hypothesis generator" for proving the patterns of activity that must be generated by the camera.
Frank S. Werblin, Adam Jacobs
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