Deep learning based brain tumor detection with internet of things

V Sandya, V Baligeri, B Lal, V Petli… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Classification, preprocessing, feature extraction, and segmentation are all parts of the
planned study that will be utilized to categories and detect brain tumor pictures. Magnetic …

The Internet of Things-Enabled Smart City: An In-Depth Review of Its Domains and Applications

A Meydani, A Ramezani… - 2023 13th International …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) refers to a comprehensive system that integrates diverse devices
and technologies, thereby eliminating the need for human involvement. IoT has played a …

What Can Technology Do for Autistic Spectrum Disorder People?

M Jodra, V Rodellar - International Work-Conference on the Interplay …, 2022 - Springer
Abstract People with Autism Spectrum Disorders (ASD) need specialized support through-
out their lives. New technologies are an opportunity to complement psychoeducational …

Longitudinally tracking personal physiomes for precision management of childhood epilepsy

P Jiang, F Gao, S Liu, S Zhang, X Zhang, Z Xia… - PLOS Digital …, 2022 - journals.plos.org
Our current understanding of human physiology and activities is largely derived from sparse
and discrete individual clinical measurements. To achieve precise, proactive, and effective …

Exploration and Application of Cognitive Illness Predictors, such as Parkinson's and Epilepsy

BV Srividya, S Smitha, M Bannerjee - … Maintenance Tools for …, 2024 - taylorfrancis.com
Epilepsy is a long-term neurological condition that causes a variety of seizures, some of
which are marked by uncontrollable repeated convulsions that significantly affect the …

Predicting depression history from a short reward/aversion task with behavioral economic features

L Stefanopoulos, S Lavlani, BW Kim, N Vike… - … on Biomedical and …, 2022 - Springer
This paper presents a novel example of depression prediction, merging cognitive science
with data-driven machine learning. Behavioral economic features were engineered from a …

An Investigation into the Rise of Wearable Technologies in the Healthcare Sector

A Sharma, K Bijo, SP Manandhar, L Sharma - International Conference on …, 2024 - Springer
Wearable technologies and self-tracking healthcare apps are becoming increasingly
popular among people all over the world. Moreover, with the rapid increase in technological …

Encoding seizures with partial synchronization: A spiking neural network for biosignal monitoring on a mixed signal neuromorphic processor

J Bartels, O Gallou, H Ito, M Cook, J Sarnthein… - bioRxiv, 2024 - biorxiv.org
Long-term monitoring of biomedical signals is crucial for modern clinical treatment of
neurological disorders such as epilepsy. Encoding epileptic seizures with partial …

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 …