[HTML][HTML] Eldo-care: EEG with kinect sensor based telehealthcare for the disabled and the elderly

S Das, A Adhikary, AA Laghari, S Mitra - Neuroscience Informatics, 2023 - Elsevier
Telehealthcare systems are nowadays becoming a massive daily helping kit for elderly and
disabled people. By using the Kinect sensors, remote monitoring has become easy. Also …

A review on gaming effects on cognitive load for smart healthcare and its security

S Das, A Ghosh, S Saha - Using Multimedia Systems, Tools, and …, 2023 - igi-global.com
Constructive and damaging effects of video game playing on the human brain have been
emerging areas of study. It has been proved that playing a video game for a certain time also …

A BCI framework for smart home automation using EEG signal

BB Borah, U Hazarika, SMB Baruah… - Intelligent Decision …, 2023 - content.iospress.com
Since the first recording in 1924, modern developments in technology have enabled human
electroencephalogram (EEG) acquisition as a non-invasive process, enabling a multitude of …

CCNSim: An artificial intelligence enabled classification, clustering and navigation simulator for Social Internet of Things

SD Mohana, SPS Prakash, K Krinkin - Engineering Applications of Artificial …, 2023 - Elsevier
With the advent of the IoT technology stack and the need for information and process
ubiquity, social IoT (SIoT) is becoming popular to cater to intelligent and connected living …

Survey on Cognitive Rehabilitation

S Das - Cognitive Cardiac Rehabilitation Using IoT and AI …, 2023 - igi-global.com
Cognitive rehabilitation refers to a range of interventions designed to improve or restore
cognitive functioning in individuals who have suffered from neurological injury or disease …

IoT in Brain-Computer Interfaces for Enabling Communication and Control for the Disabled

S Rajarajan, T Kowsalya, NS Gupta… - 2024 10th …, 2024 - ieeexplore.ieee.org
The proposed system integrates Internet of Things (IoT) technologies with Brain-computer
interfaces to improve disability-related communication and control. BCIs may directly …

Stress Detection While Doing Exam Using EEG with Machine Learning Techniques

S Das, S Chatterjee, AI Karani, AK Ghosh - International Conference on …, 2023 - Springer
This paper presents a comprehensive system design, architecture, and methodology for
detecting the psychological states of individuals based on their emitted brainwaves while …

The neurotechnology patent landscape in a time of neuroethics: 2016-2020

A Rotenberg - 2023 - open.library.ubc.ca
Over the past decades, invasive and non-invasive neuromodulation approaches have
emerged to manage neurologic and psychiatric conditions, along with powerful functional …

[PDF][PDF] Arrhythmia Bot: Arrhythmia Disease Prediction using Internet of Things with Machine Learning Approaches and Telegram Bot

S Das, S Malick, S Majumder… - Science and …, 2023 - ajac.smartsociety.org
Cardiac demise as of arrhythmia remains a prime cause of mortality in the world. Arrhythmia
patient monitoring is a vital technique that gives customers all vital statistics regarding every …

Mobile Health: Predicting Heart Attack Risk in Diabetic Patients Through Machine Learning

S Das, K Kumari, R Sahu - Artificial Intelligence Transformations for …, 2024 - igi-global.com
Diabetes and heart disease are common chronic diseases, and a lot of people are suffering
from them. Diabetes is caused by insulin secretion disorder. Sometimes it causes death in …