Advancements and Applications of Brain-Computer Interface Technology in Healthcare -A Review

For centuries, scientists, academics, and engineers have been fascinated by the human brain, which is considered the most advanced organ. Exploration of the human brain's capacities and complexities is intriguing and exciting, stretching the limits of neuroscience and technology. Among the most noteworthy developments in this field is the creation of the Brain-Computer Interface (BCI) technology, which creates an amazing link between the human brain and machines or computers. The BCI system offers the possibility to connect with the human brain or thinking through technology, representing a sophisticated fusion of computer science, neurology, and engineering. This method empowers people with a variety of infirmities, including paralysis and lost motor functions. Fundamentally, brain-computer interface (BCI) technology is intricately linked to the recording and interpretation of psychological signals, including electrocardiograms (ECG) and electroencephalograms (EEG). The amazing possibility of creating a direct connection between the human mind and outside technologies is unlocked by these signals. In order to decode emotions, thoughts, and intentions and convert the signals into useful instructions for machines, computers, and prosthetic equipment, BCI makes use of the electrical activity produced by the heart (ECG) or brain (EEG). To comprehend the remarkable potential of the development of BCI systems, it is essential to investigate the connection between physiological signals and technological interfaces. Key Words: Brain computer Interface, electroencephalogram, Signal acquisition

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-31
DOI
https://doi.org/10.55041/ijsrem43406
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
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0.00
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article

Advancements and Applications of Brain-Computer Interface Technology in Healthcare -A Review

Sreejith Sreekumar, K Vishnu, Muthuraman Saminathan, M. Vikash
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
EEG and Brain-Computer Interfaces
article

Advancements and Applications of Brain-Computer Interface Technology in Healthcare -A Review

Sreejith Sreekumar, K Vishnu, Muthuraman Saminathan, M. Vikash
article en

Abstract

For centuries, scientists, academics, and engineers have been fascinated by the human brain, which is considered the most advanced organ. Exploration of the human brain's capacities and complexities is intriguing and exciting, stretching the limits of neuroscience and technology. Among the most noteworthy developments in this field is the creation of the Brain-Computer Interface (BCI) technology, which creates an amazing link between the human brain and machines or computers. The BCI system offers the possibility to connect with the human brain or thinking through technology, representing a sophisticated fusion of computer science, neurology, and engineering. This method empowers people with a variety of infirmities, including paralysis and lost motor functions. Fundamentally, brain-computer interface (BCI) technology is intricately linked to the recording and interpretation of psychological signals, including electrocardiograms (ECG) and electroencephalograms (EEG). The amazing possibility of creating a direct connection between the human mind and outside technologies is unlocked by these signals. In order to decode emotions, thoughts, and intentions and convert the signals into useful instructions for machines, computers, and prosthetic equipment, BCI makes use of the electrical activity produced by the heart (ECG) or brain (EEG). To comprehend the remarkable potential of the development of BCI systems, it is essential to investigate the connection between physiological signals and technological interfaces. Key Words: Brain computer Interface, electroencephalogram, Signal acquisition

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 94%
EEG and Brain-Computer Interfaces
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