The future of healthcare internet of things: a survey of emerging technologies
The impact of the Internet of Things (IoT) on the advancement of the healthcare industry is
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …
Role of emerging technologies in future IoT-driven Healthcare 4.0 technologies: A survey, current challenges and future directions
Abstract Since its inception, Healthcare 4.0 has empowered the integration of advanced
technologies to create and improve the quality of healthcare services. The delivery of …
technologies to create and improve the quality of healthcare services. The delivery of …
[HTML][HTML] Internet of things in medicine: A systematic mapping study
Context The current studies on IoT in healthcare have reviewed the uses of this technology
in a combination of healthcare domains, including nursing, rehabilitation sciences, ambient …
in a combination of healthcare domains, including nursing, rehabilitation sciences, ambient …
AutoEncoder filter bank common spatial patterns to decode motor imagery from EEG
The present paper introduces a novel method, named AutoEncoder-Filter Bank Common
Spatial Patterns (AE-FBCSP), to decode imagined movements from electroencephalography …
Spatial Patterns (AE-FBCSP), to decode imagined movements from electroencephalography …
VME-DWT: An efficient algorithm for detection and elimination of eye blink from short segments of single EEG channel
Objective: Recent advances in development of low-cost single-channel
electroencephalography (EEG) headbands have opened new possibilities for applications …
electroencephalography (EEG) headbands have opened new possibilities for applications …
Commercially available seizure detection devices: A systematic review
J Shum, D Friedman - Journal of the Neurological Sciences, 2021 - Elsevier
Importance Epilepsy can be associated with significant morbidity and mortality. Seizure
detection devices could be invaluable tools for both people with epilepsy, their caregivers …
detection devices could be invaluable tools for both people with epilepsy, their caregivers …
Seizure detection and prediction by parallel memristive convolutional neural networks
During the past two decades, epileptic seizure detection and prediction algorithms have
evolved rapidly. However, despite significant performance improvements, their hardware …
evolved rapidly. However, despite significant performance improvements, their hardware …
Significant low-dimensional spectral-temporal features for seizure detection
Absence seizure as a generalized onset seizure, simultaneously spreading seizure to both
sides of the brain, involves around ten-second sudden lapses of consciousness. It common …
sides of the brain, involves around ten-second sudden lapses of consciousness. It common …
Toward wearable sensors: advances, trends, and challenges
Sensors suitable for wearable devices have many special characteristics compared to other
sensors, such as stability, sensitivity, sensor volume, biocompatibility, and so on. With the …
sensors, such as stability, sensitivity, sensor volume, biocompatibility, and so on. With the …
A unified multi-level spectral–temporal feature learning framework for patient-specific seizure onset detection in EEG signals
Epileptic seizure onset detection in electroencephalography (EEG) signals is a challenging
task due to the severe variation of seizures. Recently, automatic seizure onset detection …
task due to the severe variation of seizures. Recently, automatic seizure onset detection …