Towards Accurate Seizure Detection: Machine Learning Model for Wearable Technology

D Raj, R Rafeeque, A Jeevan… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
Wearable devices that automatically detect and predict seizures could be life-changing
technology for patients suffering from epileptic seizures. These devices can help in constant …

Generalized tonic-clonic seizure detection through the use of physiological signals

W Li, D Sheng, G Wang, G Wang - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Generalized tonic-clonic seizures increase the risk of sudden unexpected death in epilepsy,
especially for patients without caregivers around them. There is a need for wearable devices …

Improving the Performance of ECG-based Epileptic Seizure Prediction

S Nair, CS Kumar, P Muralidharan… - 2023 14th …, 2023 - ieeexplore.ieee.org
Epileptic seizure is a neurological disorder affecting 50 million people worldwide. If the
seizure goes unrecognized, it may lead to fatal accidents. It is important to predict seizure …

Harnessing Machine Learning and Deep Learning for Improved Epileptic Seizure Detection: A Review

A Chaturvedi - Proceedings of the 5th International Conference on …, 2023 - dl.acm.org
Since over 1% of people worldwide suffer from epileptic seizures, which can be caused by
brain abnormalities and manifest suddenly and symptomless, there is an increased chance …

The Use of Technology in the Diagnosis and Treatment of Epilepsy: Trends and Open Issues

J Fernandes, PD Gaspar, E Menino… - Revista de Informática …, 2023 - seer.ufrgs.br
Epilepsy is one of the most common neurological diseases in the world, affecting millions of
people. The impact of this disease goes beyond seizures. It has repercussions on the …

Wearable Health Monitoring and Tracking through Whispering Gallery Mode Optical Sensors in IoT-Enabled Smartwatches

AR Ali, A Saleh, EA Abdallah, AA Ali… - 2023 International …, 2023 - ieeexplore.ieee.org
This manuscript presents the development of micro-optical sensors for high sensitivity
magnetic field detection. The sensors were fabricated using PDMS-nanoparticle mixtures to …

Enhancing Seizure Detection Through Deep Learning-Based Wearable Devices

D Raj, AJ Jeevan, R Rafeeque… - 2024 International …, 2024 - ieeexplore.ieee.org
This study focuses on harnessing data from diverse sensors, such as Electrodermal Activity,
Accelerometer, Heart Rate, and Blood Volume Pulse, aiming to construct a sophisticated …

Beta waves monitoring for the prognosis of seizures in epileptic pediatric patients

J Jagan - 2024 Tenth International Conference on Bio Signals …, 2024 - ieeexplore.ieee.org
Epilepsy is a neurological disorder that causes abnormal recurrent seizures with sudden
bursts of the brain's electrical activity. Loss of consciousness, injury, or memory impairment …

Multimodal Wearable Device Signal Based Epilepsy Detection with Multi-scale Convolutional Neural Network

Y Ge, D Hu, X Cui, T Jiang, F Gao, T Jiang… - … on Cognitive Systems …, 2023 - Springer
Seizure detection based on wearable devices has gradually become a popular research
direction. The ability of wearable devices to capture signals is also improving, and a variety …

Technologies for Wearable Seizure Detection: A Systematic Review

R Losli - 2024 - pdxscholar.library.pdx.edu
Knowing when a seizure occurred is helpful because this information can be used to
evaluate the effectiveness of seizure interventions and possibly alert caregivers to …