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Analysis of electrooculography signals for the detection of Myasthenia Gravis

Clinical Neurophysiology, 2019
A precursor to more severe forms of Myasthenia Gravis (MG) is ocular MG (OMG) in which the MG symptoms are localized to the eyes. Current MG diagnostic methods are often invasive, painful, and not always specific. The objective of the proposed work was to extract quantifiable features from electrooculography (EOG) signals recorded around the eyes and ...
Sridhar Krishnan   +5 more
openaire   +3 more sources

A human-robot interface based on electrooculography

IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, 2004
Design and implementation of an electrooculography based gaze-controlled robotic system is presented. The robot system consists of signal acquisition, pattern recognition, control strategy and robot motion modules. The user's eye gaze movements are reconstructed from electrooculogram (EOG) signals, which are recorded from the face in real time. The eye
Wyatt S. Newman, Yingxi Chen
openaire   +1 more source

PSEENet: A Pseudo-Siamese Neural Network Incorporating Electroencephalography and Electrooculography Characteristics for Heterogeneous Sleep Staging

IEEE journal of biomedical and health informatics
Sleep staging plays a critical role in evaluating the quality of sleep. Currently, most studies are either suffering from dramatic performance drops when coping with varying input modalities or unable to handle heterogeneous signals.
Weihong Zhou   +9 more
semanticscholar   +1 more source

Controlling hand-assistive devices: utilizing electrooculography as a substitute for vision

IEEE Robotics & Automation Magazine, 2013
The loss of hand function, due to amputation or neurological injuries, severely debilitates physically and psychosocially. The most evident and critical impairment after upper limb amputation or neurological injury like brachial plexus or spinal cord injury is the loss of prehension, i.e., the ability to perform those movements in which an object is ...
Hao Y.   +7 more
openaire   +3 more sources

Acquisition and Detection of Eye Movement Using Electrooculography

2024 International Conference on Signal Processing and Advance Research in Computing (SPARC)
Human-Computer Interaction (HCI) systems are becoming admired daily for eye-tracking environments. Electrooculography (EOG) is the technique for recording eye movement with the help of keeping electrodes near the eyes and forehead.
Sruthilaya Gajendiran   +1 more
semanticscholar   +1 more source

Detection of myasthenia gravis using electrooculography signals

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
Myasthenia gravis (MG) is an autoimmune neuromuscular disorder resulting from skeletal muscle weakness and fatigue. An early common symptom is fatigable weakness of the extrinsic ocular muscles; if symptoms remain confined to the ocular muscles after a few years, this is classified as ocular myasthenia gravis (OMG). Diagnosis of MG when there are mild,
K. Umapathy   +5 more
openaire   +3 more sources

ELECTROOCULOGRAPHY IN THE GLAUCOMATOUS AMAUROTIC EYE

Acta Ophthalmologica, 1978
EOG was performed on nine patients with one eye amaurotic due to advanced glaucoma. No difference in base values or Lp/Dt ratios was found between amaurotic eye and control eye.
openaire   +3 more sources

Multiclass electrooculography using common spatial pattern

2012 35th International Conference on Telecommunications and Signal Processing (TSP), 2012
In this paper we apply common spatial pattern (CSP) to the classification of electrooculography (EOG) signals with four distinct classes, namely, eye blinks (EB), eye rotation clockwise (ERC), vertical eye movement (VEM) and horizontal eye movement (HEM). We first describe the CSP and Linear Discriminant Analysis (LDA) algorithms with two classes.
Carlos Duque   +2 more
openaire   +2 more sources

Electrooculography

Advances in Experimental Medicine and Biology
Julie Shabto   +3 more
openaire   +2 more sources

Electrooculography based assistive technology for ALS patients [PDF]

open access: possible2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2017
This paper describes an Assistive technology for ALS patients that is controlled by Electrooculogram signals (EOG). In situations of traumatic diseases or paralyzed conditions, the patient may lose the ability to communicate with others by speech or gestures.
Srikanth Ramanujam   +2 more
openaire   +1 more source

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