Wearable and implantable bioelectronics as eco‐friendly and patient‐friendly integrated nanoarchitectonics for next‐generation smart healthcare technology
Since the beginning of human history, the demand for effective healthcare systems for
diagnosis and treatment of health problems has grown steadily. However, traditional …
diagnosis and treatment of health problems has grown steadily. However, traditional …
A state-of-the-art review of EEG-based imagined speech decoding
Currently, the most used method to measure brain activity under a non-invasive procedure is
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …
EEG-based BCIs on motor imagery paradigm using wearable technologies: a systematic review
In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …
Towards cognitive authentication for smart healthcare applications
Secure and reliable sensing plays the key role for cognitive tracking ie, activity identification
and cognitive monitoring of every individual. Over the last years there has been an …
and cognitive monitoring of every individual. Over the last years there has been an …
Biohybrid neural interfaces: improving the biological integration of neural implants
Implantable neural interfaces (NIs) have emerged in the clinic as outstanding tools for the
management of a variety of neurological conditions caused by trauma or disease. However …
management of a variety of neurological conditions caused by trauma or disease. However …
Recent progress in electrospun nanomaterials for wearables
Wearables have garnered significant attention in recent years not only as consumer
electronics for entertainment, communications, and commerce but also for real-time …
electronics for entertainment, communications, and commerce but also for real-time …
A graph fourier transform based bidirectional long short-term memory neural network for electrophysiological source imaging
Electrophysiological source imaging (ESI) refers to the process of reconstructing underlying
activated sources on the cortex given the brain signal measured by Electroencephalography …
activated sources on the cortex given the brain signal measured by Electroencephalography …
Assisting schizophrenia diagnosis using clinical electroencephalography and interpretable graph neural networks: a real-world and cross-site study
Schizophrenia (SCZ) is a chronic and serious mental disorder with a high mortality rate. At
present, there is a lack of objective, cost-effective and widely disseminated diagnosis tools to …
present, there is a lack of objective, cost-effective and widely disseminated diagnosis tools to …
Sustainable development of electroencephalography materials and technology
L Xiong, N Li, Y Luo, L Chen - SusMat, 2024 - Wiley Online Library
Electroencephalogram (EEG) is one of the most important bioelectrical signals related to
brain activity and plays a crucial role in clinical medicine. Driven by continuously expanding …
brain activity and plays a crucial role in clinical medicine. Driven by continuously expanding …
Applications of brain-computer interfaces in neurodegenerative diseases
Brain-computer interfaces (BCIs) provide the central nervous system with channels of direct
communication to the outside world, without having to go through the peripheral nervous …
communication to the outside world, without having to go through the peripheral nervous …