Computer Interaction Methods and Modes for Epilepsy Patients

Binlu Yang

2025

Abstract

Epilepsy is one of the most common chronic neurological disorders worldwide. Traditional drug therapies have limited effectiveness for such patients and long-term use may lead to side effects such as cognitive impairment and metabolic disorders. In addition, patients face unpredictable seizure risks, traditional nursing methods have limitations in evaluation and treatment effect, there are many technical aspects of epilepsy patients that can be optimized, and innovative technological breakthroughs are urgently needed to break through the existing bottlenecks. This paper reviews the application of brain-computer interfaces (BCIs), multimodal interaction technologies, artificial intelligence (AI), eye-tracking, and smart wearable devices in epilepsy management. It also proposes future research directions, including multimodal data integration, nanoscale brain-computer interface (BCI) development, patient-participatory design, and ethical privacy protection. These innovations aim to enhance diagnostic accuracy, enable personalized treatment, and improve daily monitoring for epilepsy patients, thereby boosting their quality of life and advancing the medical field toward greater intelligence and precision.

Paper Citation

in Harvard Style

Yang B. (2025). Computer Interaction Methods and Modes for Epilepsy Patients. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 28-36. DOI: 10.5220/0014307100004718

in Bibtex Style

@conference{emiti25,
author={Binlu Yang},
title={Computer Interaction Methods and Modes for Epilepsy Patients},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={28-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014307100004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Computer Interaction Methods and Modes for Epilepsy Patients
SN - 978-989-758-792-4
AU - Yang B.
PY - 2025
SP - 28
EP - 36
DO - 10.5220/0014307100004718
PB - SciTePress