Purpose The objective of this work is to evaluate the performances of a novel integrated device, based on passive head-mounted display (HMD), for the pattern reversal visual evoked potential (PR-VEP) clinical test. Methods Google Cardboard Ò is used as passive HMD to generate the checkerboard pattern stimuli through an Android Ò application. Electroencephalo- graphic signals are retrieved and processed over 20 subjects, 12 females and 8 males between 20 and 26 years. Morphological PR-VEPs and frequency response were compared with previous literature results, to test the reproducibility and the efficacy of the proposed solution. Results PR-VEPs evoked by our novel prototype showed typical triphasic waveforms in moderate...
Victims of accidents are often permanently disabled due to nerve damage or loss of limbs. One soluti...
Foerster RM, Poth CH, Behler C, Botsch M, Schneider WX. Neuropsychological assessment of visual sele...
Brain computer interfaces (BCIs) enable interaction with computers through electrical brain signals ...
[[abstract]]Today's diversified world is no longer the era of books, electronic equipment, but elect...
OBJECTIVE: To present a new stimulation method based on the use of a head-mounted display (HMD) duri...
Background: Brain–computer interfaces (BCIs) are systems able to convert the brain activity into ele...
Visual signal processing in human beings occurs in the occipital lobe of the brain. The signals that...
Purpose. To determine whether organic electroluminescence (OLED) screens can be used as visual stimu...
This work develops and tests two Brain-Computer Interface (BCI) systems. The first one is a Steady-s...
This dissertation presents five contributions to the design of steady-state visual evoked potential ...
WOS: 000254704300025For recording stimulus evoked potentials in neurology and ophtalmology clinics a...
This study used the traditional P300 speller paradigm to compare a medical grade Electroencephalog...
This thesis reports on several new and innovative instrumentation developments to solve some of the ...
Evoked potentials are one of the brain's electrical activity types. They appear on the human scalp a...
Objective: We present a new, low power EEG recording system with an ultra-high input impedance that ...
Victims of accidents are often permanently disabled due to nerve damage or loss of limbs. One soluti...
Foerster RM, Poth CH, Behler C, Botsch M, Schneider WX. Neuropsychological assessment of visual sele...
Brain computer interfaces (BCIs) enable interaction with computers through electrical brain signals ...
[[abstract]]Today's diversified world is no longer the era of books, electronic equipment, but elect...
OBJECTIVE: To present a new stimulation method based on the use of a head-mounted display (HMD) duri...
Background: Brain–computer interfaces (BCIs) are systems able to convert the brain activity into ele...
Visual signal processing in human beings occurs in the occipital lobe of the brain. The signals that...
Purpose. To determine whether organic electroluminescence (OLED) screens can be used as visual stimu...
This work develops and tests two Brain-Computer Interface (BCI) systems. The first one is a Steady-s...
This dissertation presents five contributions to the design of steady-state visual evoked potential ...
WOS: 000254704300025For recording stimulus evoked potentials in neurology and ophtalmology clinics a...
This study used the traditional P300 speller paradigm to compare a medical grade Electroencephalog...
This thesis reports on several new and innovative instrumentation developments to solve some of the ...
Evoked potentials are one of the brain's electrical activity types. They appear on the human scalp a...
Objective: We present a new, low power EEG recording system with an ultra-high input impedance that ...
Victims of accidents are often permanently disabled due to nerve damage or loss of limbs. One soluti...
Foerster RM, Poth CH, Behler C, Botsch M, Schneider WX. Neuropsychological assessment of visual sele...
Brain computer interfaces (BCIs) enable interaction with computers through electrical brain signals ...