Electrode development for epilepsy diagnosis and treatment
Intracranial recording of human neural activity has been a clinical staple for over 50 years for
a wide range of neuropsychiatric disorders and pathologies. The first intracranial recordings …
a wide range of neuropsychiatric disorders and pathologies. The first intracranial recordings …
Time-resolved EEG signal analysis for motor imagery activity recognition
BO Olcay, B Karaçalı - Biomedical Signal Processing and Control, 2023 - Elsevier
Accurately characterizing brain activity requires detailed feature analysis in the temporal,
spatial, and spectral domains. While previous research has proposed various spatial and …
spatial, and spectral domains. While previous research has proposed various spatial and …
Posthoc interpretability of neural responses by grouping subject motor imagery skills using cnn-based connectivity
DF Collazos-Huertas, AM Álvarez-Meza… - Sensors, 2023 - mdpi.com
Motor Imagery (MI) refers to imagining the mental representation of motor movements
without overt motor activity, enhancing physical action execution and neural plasticity with …
without overt motor activity, enhancing physical action execution and neural plasticity with …
[HTML][HTML] Parkinsonian rest tremor can be distinguished from voluntary hand movements based on subthalamic and cortical activity
Abstract Objective To distinguish Parkinsonian rest tremor and different voluntary hand
movements by analyzing brain activity. Methods We re-analyzed magnetoencephalography …
movements by analyzing brain activity. Methods We re-analyzed magnetoencephalography …
A modular open-source software platform for BCI research with application in closed-loop deep brain stimulation
This work introduces Dareplane, a modular and broad technology agnostic open source
software platform for brain-computer interface research with an application focus on …
software platform for brain-computer interface research with an application focus on …
Parkinsonian rest tremor can be distinguished from voluntary hand movements based on subthalamic and cortical activity using machine learning
Tremor is one of the cardinal symptoms of Parkinson's disease. The neurophysiology of
tremor is not completely understood, and so far it has not been possible to distinguish tremor …
tremor is not completely understood, and so far it has not been possible to distinguish tremor …
Machine Learning in Spinal Cord Stimulation for Chronic Pain
V Hariharan, TA Harland, C Young, A Sagar… - Operative …, 2022 - journals.lww.com
Spinal cord stimulation (SCS) is an effective treatment for chronic neuropathic pain. The
success of SCS is dependent on candidate selection, response to trialing, and programming …
success of SCS is dependent on candidate selection, response to trialing, and programming …