Flexible electronics and devices as human–machine interfaces for medical robotics
Medical robots are invaluable players in non‐pharmaceutical treatment of disabilities.
Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can …
Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can …
Existence of initial dip for BCI: an illusion or reality
A tight coupling between the neuronal activity and the cerebral blood flow (CBF) is the
motivation of many hemodynamic response (HR)-based neuroimaging modalities. The …
motivation of many hemodynamic response (HR)-based neuroimaging modalities. The …
Evaluation of neural degeneration biomarkers in the prefrontal cortex for early identification of patients with mild cognitive impairment: an fNIRS study
Mild cognitive impairment (MCI), a condition characterizing poor cognition, is associated
with aging and depicts early symptoms of severe cognitive impairment, known as …
with aging and depicts early symptoms of severe cognitive impairment, known as …
Effects of acupuncture therapy on MCI patients using functional near-infrared spectroscopy
Acupuncture therapy (AT) is a non-pharmacological method of treatment that has been
applied to various neurological diseases. However, studies on its longitudinal effect on the …
applied to various neurological diseases. However, studies on its longitudinal effect on the …
Detection of mild cognitive impairment using convolutional neural network: temporal-feature maps of functional near-infrared spectroscopy
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …
is considered the most common neurodegenerative disease in the elderly. Some MCI …
Early detection of hemodynamic responses using EEG: a hybrid EEG-fNIRS study
Enhanced classification accuracy and a sufficient number of commands are highly
demanding in brain computer interfaces (BCIs). For a successful BCI, early detection of brain …
demanding in brain computer interfaces (BCIs). For a successful BCI, early detection of brain …
Systematic analysis of wavelet denoising methods for neural signal processing
Objective. Among the different approaches for denoising neural signals, wavelet-based
methods are widely used due to their ability to reduce in-band noise. All wavelet denoising …
methods are widely used due to their ability to reduce in-band noise. All wavelet denoising …
Effects of HD‐tDCS on Resting‐State Functional Connectivity in the Prefrontal Cortex: An fNIRS Study
Functional connectivity is linked to several degenerative brain diseases prevalent in our
aging society. Electrical stimulation is used for the clinical treatment and rehabilitation of …
aging society. Electrical stimulation is used for the clinical treatment and rehabilitation of …
Decoding of grasping tasks from intraneural recordings in trans-radial amputee
Objective. A major challenge in neuroprosthetics is the restoration of sensory-motor hand
functions in upper-limb amputees. Neuroprostheses based on the direct re-connection of the …
functions in upper-limb amputees. Neuroprostheses based on the direct re-connection of the …
Neural signal recording and processing in somatic neuroprosthetic applications. A review
Neurointerfaces have acquired major relevance as both rehabilitative and therapeutic tools
for patients with spinal cord injury, limb amputations and other neural disorders …
for patients with spinal cord injury, limb amputations and other neural disorders …