A Comprehensive Survey of Brain-Computer Interface Technology in Health care: Research Perspectives.

IF 1.1 Q4 ENGINEERING, BIOMEDICAL

Journal of Medical Signals & Sensors Pub Date : 2025-06-09 eCollection Date: 2025-01-01 DOI:10.4103/jmss.jmss_49_24

Meenalosini Vimal Cruz, Suhaima Jamal, Sibi Chakkaravarthy Sethuraman

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引用次数: 0

Abstract

The brain-computer interface (BCI) technology has emerged as a groundbreaking innovation with profound implications across diverse domains, particularly in health care. By establishing a direct communication pathway between the human brain and external devices, BCI systems offer unprecedented opportunities for diagnosis, treatment, and rehabilitation, thereby reshaping the landscape of medical practice. However, despite its immense potential, the widespread adoption of BCI technology in clinical settings faces several challenges. These include the need for robust signal acquisition and processing techniques and optimizing user training and adaptation. Overcoming these challenges is crucial to unleashing the complete potential of BCI technology in health care and realizing its promise of personalized, patient-centric care. This review work underscores the transformative potential of BCI technology in revolutionizing medical practice. This paper offers a comprehensive analysis of medical-oriented BCI applications by exploring the various uses of BCI technology and its potential to transform patient care.

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脑机接口技术在卫生保健中的综合研究：研究展望。

脑机接口（BCI）技术已经成为一项突破性的创新，在各个领域都具有深远的影响，特别是在医疗保健领域。通过在人脑和外部设备之间建立直接通信通路，脑机接口系统为诊断、治疗和康复提供了前所未有的机会，从而重塑了医疗实践的格局。然而，尽管具有巨大的潜力，脑机接口技术在临床环境中的广泛采用面临着一些挑战。其中包括需要强大的信号采集和处理技术，以及优化用户培训和适应。克服这些挑战对于释放脑机接口技术在医疗保健领域的全部潜力并实现其个性化、以患者为中心的护理的承诺至关重要。这项综述工作强调了脑机接口技术在革命性医疗实践中的变革潜力。本文通过探索脑机接口技术的各种用途及其改变患者护理的潜力，对面向医疗的脑机接口应用进行了全面分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Medical Signals & Sensors ENGINEERING, BIOMEDICAL-

CiteScore

2.30

自引率

0.00%

发文量

审稿时长

33 weeks

期刊介绍： JMSS is an interdisciplinary journal that incorporates all aspects of the biomedical engineering including bioelectrics, bioinformatics, medical physics, health technology assessment, etc. Subject areas covered by the journal include: - Bioelectric: Bioinstruments Biosensors Modeling Biomedical signal processing Medical image analysis and processing Medical imaging devices Control of biological systems Neuromuscular systems Cognitive sciences Telemedicine Robotic Medical ultrasonography Bioelectromagnetics Electrophysiology Cell tracking - Bioinformatics and medical informatics: Analysis of biological data Data mining Stochastic modeling Computational genomics Artificial intelligence & fuzzy Applications Medical softwares Bioalgorithms Electronic health - Biophysics and medical physics: Computed tomography Radiation therapy Laser therapy - Education in biomedical engineering - Health technology assessment - Standard in biomedical engineering.