Results 281 to 290 of about 2,074,887 (343)

Applying deep artificial neural network approach to maxillofacial prostheses coloration

Journal of Prosthodontic Research, 2020
PURPOSE Maxillofacial prosthetic rehabilitation replaces missing structures to recover the function and aesthetics relating to facial defects or injuries. Deep learning is rapidly expanding with respect to applications in medical fields.
Yuichi Mine
exaly   +2 more sources

Recording and decoding for neural prostheses

Proceedings of the IEEE, 2016
This paper reviews technologies and signal processing algorithms for decoding peripheral nerve and electrocorticogram signals to interpret human intent and control prosthetic arms. The review includes a discussion of human motor system physiology and physiological signals that can be used to decode motor intent, electrode technology for acquiring ...
David J. Warren, Spencer S. Kellis, Jacob G. Nieveen, Suzanne M. Wendelken, Henrique Dantas, Tyler S. Davis, Douglas T. Hutchinson, Richard A. Normann, Gregory A. Clark, V. John Mathews   +9 more
openaire   +3 more sources

Biomaterials research in neural prostheses

Biomaterials, 1982
Abstract Neural prosthetic implants share many of the biomaterials requirements of other implants. They also have unique needs that are not satisfied by available materials. Specific biomaterials research problems are identified and possible solutions discussed.
exaly   +3 more sources

Signal Processing Challenges for Neural Prostheses

IEEE Signal Processing Magazine, 2008
Cortically controlled prostheses are able to translate neural activity from the cerebral cortex into control signals for guiding computer cursors or prosthetic limbs. While both noninvasive and invasive electrode techniques can be used to measure neural activity, the latter promises considerably higher levels of performance and therefore functionality ...
Michael D Linderman, Gopal Santhanam, Caleb Kemere   +2 more
exaly   +2 more sources

Performance sustaining intracortical neural prostheses

Journal of Neural Engineering, 2014
Neural prostheses, or brain-machine interfaces, aim to restore efficient communication and movement ability to those suffering from paralysis. A major challenge these systems face is robust performance, particularly with aging signal sources. The aim in this study was to develop a neural prosthesis that could sustain high performance in spite of signal
Paul, Nuyujukian, Jonathan C, Kao, Joline M, Fan, Sergey D, Stavisky, Stephen I, Ryu, Krishna V, Shenoy   +5 more
openaire   +3 more sources

A New Means of Transcutaneous Coupling for Neural Prostheses

IEEE Transactions on Biomedical Engineering, 2007
Neural prostheses are electronic stimulators that activate nerves to restore sensory or motor functions. Implanted neural prostheses receive command signals and in some cases energy to recharge their batteries through the skin by telemetry. Here, we describe a new approach that eliminates the implanted stimulator.
Liu Shi Gan, Arthur Prochazka, K Ming Chan   +2 more
exaly   +3 more sources

A Wireless Power and Data Transfer IC for Neural Prostheses Using a Single Inductive Link With Frequency-Splitting Characteristic

IEEE Transactions on Biomedical Circuits and Systems, 2021
This paper presents a frequency-splitting-based wireless power and data transfer IC that simultaneously delivers power and forward data over a single inductive link.
Yechan Park, Seok-Tae Koh, Jeongeun Lee, Hong-Gyeom Kim, Jaesuk Choi, S. Ha, Chul Kim, M. Je   +7 more
semanticscholar   +1 more source

A Frequency-Splitting-Based Wireless Power and Data Transfer IC for Neural Prostheses with Simultaneous 115mWPower and 2.5Mb/s Forward Data Delivery

IEEE International Solid-State Circuits Conference, 2021
The electrical cochlear implants (Cls) have given > 500,000 patients worldwide a better life to date. However, the electrical neural stimulation has limited spatial resolution due to the spread of stimulation current, which reduces the number of ...
Yechan Park, Seok-Tae Koh, Jeongeun Lee, Hong-Gyeom Kim, Jaesuk Choi, S. Ha, Chul-Woong Kim, M. Je   +7 more
semanticscholar   +1 more source

Neural-Dynamics Optimization and Repetitive Learning Control for Robotic Leg Prostheses

IEEE/ASME transactions on mechatronics, 2021
Rapid development in robotics and bionics makes it possible for robotic leg prostheses to help amputees while imposing challenges on duplicating the motion characteristics of the amputees’ healthy leg.
Qinjian Li, Tao Zhang, Guoxin Li, Zhijun Li, H. Xia, C. Su   +5 more
semanticscholar   +1 more source

The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2014
Dario Farina, Ning Jiang, Hubertus Rehbaum   +2 more
exaly   +2 more sources