Introduction The use of machine learning (ML) techniques in healthcare encompasses an
emerging concept that envisages vast contributions to the tackling of rare diseases. In this …

Electro-oculography (EOG)-based brain–computer interface (BCI) is a relevant technology
influencing physical medicine, daily life, gaming and even the aeronautics field. EOG-based …

Myoelectric control is one of the leading areas of research in the field of robotic prosthetics.
We present our research in surface electromyography (sEMG) signal classification, where …

Single-channel Electrooculogram (EOG) is proposed for detecting diabetic retinopathy. The
Corneal-retinal potential of the eyes plays a vital role in the acquisition of …

Patients with no or limited hand function usually have difficulty in using conventional input
devices such as a mouse or a touch screen. Having the ability of manipulating electronic …

A gaze estimation system is one of the communication methods for severely disabled people
who cannot perform gestures and speech. We previously developed an eye tracking method …

Amyotrophic Lateral Sclerosis or paralysis who are unable to perform any body movements
other than eye movements. A system has been developed to facilitate communication …

The paper explores the detail design of electroencephalogram (EEG) based eye blink circuit
module for Amyotrophic Lateral Sclerosis (ALS) patients using the Multisim Circuit design …

This article presents a wearable device capable of acquiring both facial EMG and EOG
biopotentials. The circuit developed has amplification and filtering stages that eliminate …

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