[HTML][HTML] Machine learning based brain signal decoding for intelligent adaptive deep brain stimulation
Sensing enabled implantable devices and next-generation neurotechnology allow real-time
adjustments of invasive neuromodulation. The identification of symptom and disease …
adjustments of invasive neuromodulation. The identification of symptom and disease …
Decoding movement from electrocorticographic activity: a review
K Volkova, MA Lebedev, A Kaplan… - Frontiers in …, 2019 - frontiersin.org
Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for
people suffering from neurological disabilities. This recording technique combines adequate …
people suffering from neurological disabilities. This recording technique combines adequate …
[HTML][HTML] The impact of epilepsy surgery on the structural connectome and its relation to outcome
Background Temporal lobe surgical resection brings seizure remission in up to 80% of
patients, with long-term complete seizure freedom in 41%. However, it is unclear how …
patients, with long-term complete seizure freedom in 41%. However, it is unclear how …
Polymer integration for packaging of implantable sensors
Abstract Inexpensive, easy-to-process, light-weight polymer-based materials that are
biocompatible, mechanically flexible, and optically transparent have emerged as …
biocompatible, mechanically flexible, and optically transparent have emerged as …
Spatio-temporal progression of cortical activity related to continuous overt and covert speech production in a reading task
How the human brain plans, executes, and monitors continuous and fluent speech has
remained largely elusive. For example, previous research has defined the cortical locations …
remained largely elusive. For example, previous research has defined the cortical locations …
Human motor decoding from neural signals: a review
Many people suffer from movement disability due to amputation or neurological diseases.
Fortunately, with modern neurotechnology now it is possible to intercept motor control …
Fortunately, with modern neurotechnology now it is possible to intercept motor control …
Information systems opportunities in brain–machine interface decoders
Brain-machine interface (BMI) systems convert neural signals from motor regions of the
brain into control signals to guide prosthetic devices. The ultimate goal of BMIs is to improve …
brain into control signals to guide prosthetic devices. The ultimate goal of BMIs is to improve …
Rapid decoding of hand gestures in electrocorticography using recurrent neural networks
Brain-computer interface (BCI) is a direct communication pathway between brain and
external devices, and BCI-based prosthetic devices are promising to provide new …
external devices, and BCI-based prosthetic devices are promising to provide new …
The effects of spatial filtering and artifacts on electrocorticographic signals
Y Liu, WG Coon, A De Pesters… - Journal of neural …, 2015 - iopscience.iop.org
Objective. Electrocorticographic (ECoG) signals contain noise that is common to all
channels and noise that is specific to individual channels. Most published ECoG studies use …
channels and noise that is specific to individual channels. Most published ECoG studies use …
Recording and decoding for neural prostheses
This paper reviews technologies and signal processing algorithms for decoding peripheral
nerve and electrocorticogram signals to interpret human intent and control prosthetic arms …
nerve and electrocorticogram signals to interpret human intent and control prosthetic arms …