Results 181 to 190 of about 36,054 (206)
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2017
The brain-machine interface (BMI) is a very recent development in the area of the human machine interaction (HCI) and emerged as the sister technology of BCI. A physiological signal related to these electrical potentials in response of the mental thoughts is known as Electroencephalogram (EEG) signals.
Manoj Kumar Mukul, Sumanta Bhattaharyya
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The brain-machine interface (BMI) is a very recent development in the area of the human machine interaction (HCI) and emerged as the sister technology of BCI. A physiological signal related to these electrical potentials in response of the mental thoughts is known as Electroencephalogram (EEG) signals.
Manoj Kumar Mukul, Sumanta Bhattaharyya
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Information Capacity of Brain Machine Interfaces
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Brain Machine Interfaces (BMIs) are emerging as an important research area in clinical therapy. A large range of potential BMI control signals can be found in the brain. In increasing order of volume of brain tissue being sampled, these signal includes recordings of electric discharges from multi unit activity (MUA), summed population activity of ...
Gregory, Gage +2 more
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Invasive Brain Machine Interface System
2019Because of high spatial-temporal resolution of neural signals obtained by invasive recording, the invasive brain-machine interfaces (BMI) have achieved great progress in the past two decades. With success in animal research, BMI technology is transferring to clinical trials for helping paralyzed people to restore their lost motor functions.
Yile, Jin +4 more
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Selecting the signals for a brain–machine interface
Current Opinion in Neurobiology, 2004Brain-machine interfaces are being developed to assist paralyzed patients by enabling them to operate machines with recordings of their own neural activity. Recent studies show that motor parameters, such as hand trajectory, and cognitive parameters, such as the goal and predicted value of an action, can be decoded from the recorded activity to provide
Andersen, Richard A. +2 more
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Practical brain-machine interface system
2017 5th International Winter Conference on Brain-Computer Interface (BCI), 2017Over the last several decades, there have been lots of BMI studies. However, it is still difficult to use BMI system in real life. Here, we introduce our three BMI studies to overcome these problems. First, we predicted continuous movement trajectory from non-invasive MEG signals.
Hong-Gi Yeom +2 more
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Prerequesites for symbiotic brain-machine interfaces
2009 IEEE International Conference on Systems, Man and Cybernetics, 2009Recent advancements in the neuroscience and engineering of Brain-Machine Interfaces are providing a blueprint for how new co-adaptive designs based on reinforcement learning change the nature of a user's ability to accomplish tasks that were not possible using static methodologies.
Justin C. Sanchez +1 more
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Multiscale brain-machine interface decoders
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016Brain-machine interfaces (BMI) have vastly used a single scale of neural activity, e.g., spikes or electrocorticography (ECoG), as their control signal. New technology allows for simultaneous recording of multiple scales of neural activity, from spikes to local field potentials (LFP) and ECoG.
Han-Lin Hsieh, Maryam Modir Shanechi
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An integrated system for brain machine interface
2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom), 2012A wireless recording system for monitoring the different depth of brain is proposed. The 16-channel recording system includes low-noise amplifiers, analog multiplexers, analog to digital converters, Bluetooth module and an information hub. Neural signals are time-division multiplexed and sampled by an on-board 8-bit analog to digital converter at up to
Hung-Chih Chiu +8 more
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Brain–Machine Interfaces: Basis and Advances
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 2012During the past 20 years, scientists have focused their efforts in the quest of real solutions in which the neural signals produced inside the human brain could be connected with computers or artificial prostheses that in a near future could be used to restore the mobility and communication abilities of patients with some damage in the central nervous ...
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