Advanced bioelectrical signal processing methods: Past, present, and future approach—Part III: Other biosignals

R Martinek, M Ladrova, M Sidikova, R Jaros… - Sensors, 2021 - mdpi.com
Analysis of biomedical signals is a very challenging task involving implementation of various
advanced signal processing methods. This area is rapidly develo**. This paper is a Part III …

Wheelchair control for disabled patients using EMG/EOG based human machine interface: a review

A Kaur - Journal of medical engineering & technology, 2021 - Taylor & Francis
The human-machine interface (HMI) and bio-signals have been used to control
rehabilitation equipment and improve the lives of people with severe disabilities. This …

Communication matters—pitfalls and promise of hightech communication devices in palliative care of severely physically disabled patients with amyotrophic lateral …

K Linse, E Aust, M Joos, A Hermann - Frontiers in neurology, 2018 - frontiersin.org
Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease, leading to
progressive paralysis, dysarthria, dysphagia, and respiratory disabilities. Therapy is mostly …

[HTML][HTML] Toward graphene textiles in wearable eye tracking systems for human–machine interaction

AJ Golparvar, MK Yapici - Beilstein Journal of …, 2021 - beilstein-journals.org
The study of eye movements and the measurement of the resulting biopotential, referred to
as electrooculography (EOG), may find increasing use in applications within the domain of …

Eye-tracking assistive technologies for individuals with amyotrophic lateral sclerosis

HO Edughele, Y Zhang, F Muhammad-Sukki… - IEEE …, 2022 - ieeexplore.ieee.org
Amyotrophic lateral sclerosis, also known as ALS, is a progressive nervous system disorder
that affects nerve cells in the brain and spinal cord, resulting in the loss of muscle control …

Electrooculograms for human–computer interaction: A review

WD Chang - Sensors, 2019 - mdpi.com
Eye movements generate electric signals, which a user can employ to control his/her
environment and communicate with others. This paper presents a review of previous studies …

Prospects of electrooculography in human-computer interface based neural rehabilitation for neural repair patients

S Fang, AF Hussein, S Ramkumar… - IEEE …, 2019 - ieeexplore.ieee.org
Disable persons are facing a lot of problems in daily life activities. They need some help
from others to fulfil their needs every day. To avoid this condition modern technology help …

Brain–computer interface for amyotrophic lateral sclerosis patients using deep learning network

J Ramakrishnan, D Mavaluru, RS Sakthivel… - Neural Computing and …, 2022 - Springer
Abstract Individuals with Motor Neuron Disease were unable to move from one place to
another because it gradually reduced all the voluntarily movement due to the degeneration …

Offline analysis for designing electrooculogram based human computer interface control for paralyzed patients

G Jialu, S Ramkumar, G Emayavaramban… - IEEE …, 2018 - ieeexplore.ieee.org
Currently, majority of persons were immobilized and need aid from caretakers due to
disability. To reduce and overcome such problem, there was a need for develo** human …

Auditory electrooculogram-based communication system for ALS patients in transition from locked-in to complete locked-in state

A Tonin, A Jaramillo-Gonzalez, A Rana… - Scientific reports, 2020 - nature.com
Patients in the transition from locked-in (ie, a state of almost complete paralysis with
voluntary eye movement control, eye blinks or twitches of face muscles, and preserved …